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447 results on '"Brunoni, AR"'

1. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Brauer, M, Roth, GA, Aravkin, AY, Zheng, P, Abate, KH, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasi, MA, Abbasian, M, Abbasifard, M, Abbasi-Kangevari, M, Abd ElHafeez, S, Abd-Elsalam, S, Abdi, P, Abdollahi, M, Abdoun, M, Abdulah, DM, Abdullahi, A, Abebe, M, Abedi, A, Abegaz, TM, Abeldaño Zuñiga, RA, Abiodun, O, Abiso, TL, Aboagye, RG, Abolhassani, H, Abouzid, M, Aboye, GB, Abreu, LG, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abukhadijah, HJJ, Aburuz, S, Abu-Zaid, A, Adane, MM, Addo, IY, Addolorato, G, Adedoyin, RA, Adekanmbi, V, Aden, B, Adetunji, JB, Adeyeoluwa, TE, Adha, R, Adibi, A, Adnani, QES, Adzigbli, LA, Afolabi, AA, Afolabi, RF, Afshin, A, Afyouni, S, Afzal, MS, Afzal, S, Agampodi, SB, Agbozo, F, Aghamiri, S, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, BO, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, N, Ahmad, S, Ahmad, T, Ahmed, A, Ahmed, LA, Ahmed, MB, Ahmed, S, Ahmed, SA, Ajami, M, Akalu, GT, Akara, EM, Akbarialiabad, H, Akhlaghi, S, Akinosoglou, K, Akinyemiju, T, Akkaif, MA, Akkala, S, Akombi-Inyang, B, Al Awaidy, S, Al Hasan, SM, Alahdab, F, AL-Ahdal, TMA, Alalalmeh, SO, Alalwan, TA, Al-Aly, Z, Alam, K, Alam, N, Alanezi, FM, Alanzi, TM, Albakri, A, AlBataineh, MT, Aldhaleei, WA, Aldridge, RW, Alemayohu, MA, Alemu, YM, Al-Fatly, B, Al-Gheethi, AAS, Al-Habbal, K, Alhabib, KF, Alhassan, RK, Ali, A, Ali, BA, Ali, I, Ali, L, Ali, MU, Ali, R, Ali, SSS, Ali, W, Alicandro, G, Alif, SM, Aljunid, SM, Alla, F, Al-Marwani, S, Al-Mekhlafi, HM, Almustanyir, S, Alomari, MA, Alonso, J, Alqahtani, JS, Alqutaibi, AY, Al-Raddadi, RM, Alrawashdeh, A, Al-Rifai, RH, Alrousan, SM, Al-Sabah, SK, Alshahrani, NZ, Altaany, Z, Altaf, A, Al-Tawfiq, JA, Altirkawi, KA, Aluh, DO, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Alwafi, H, Al-Wardat, MS, Al-Worafi, YM, Aly, H, Aly, S, Alzoubi, KH, Al-Zyoud, W, Amaechi, UA, Aman Mohammadi, M, Amani, R, Amiri, S, Amirzade-Iranaq, MH, Ammirati, E, Amu, H, Amugsi, DA, Amusa, GA, Ancuceanu, R, Anderlini, D, Anderson, JA, Andrade, PP, Andrei, CL, Andrei, T, Anenberg, SC, Angappan, D, Angus, C, Anil, A, Anil, S, Anjum, A, Anoushiravani, A, Antonazzo, IC, Antony, CM, Antriyandarti, E, Anuoluwa, BS, Anvari, D, Anvari, S, Anwar, S, Anwar, SL, Anwer, R, Anyabolo, EE, Anyasodor, AE, Apostol, GLC, Arabloo, J, Arabzadeh Bahri, R, Arafat, M, Areda, D, Aregawi, BB, Aremu, A, Armocida, B, Arndt, MB, Ärnlöv, J, Arooj, M, Artamonov, AA, Artanti, KD, Aruleba, IT, Arumugam, A, Asbeutah, AM, Asgary, S, Asgedom, AA, Ashbaugh, C, Ashemo, MY, Ashraf, T, Askarinejad, A, Assmus, M, Astell-Burt, T, Athar, M, Athari, SS, Atorkey, P, Atreya, A, Aujayeb, A, Ausloos, M, Avila-Burgos, L, Awoke, AA, Ayala Quintanilla, BP, Ayatollahi, H, Ayestas Portugal, C, Ayuso-Mateos, JL, Azadnajafabad, S, Azevedo, RMS, Azhar, GS, Azizi, H, Azzam, AY, Backhaus, IL, Badar, M, Badiye, AD, Bagga, A, Baghdadi, S, Bagheri, N, Bagherieh, S, Bahrami Taghanaki, P, Bai, R, Baig, AA, Baker, JL, Bakkannavar, SM, Balasubramanian, M, Baltatu, OC, Bam, K, Bandyopadhyay, S, Banik, B, Banik, PC, Banke-Thomas, A, Bansal, H, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Bärnighausen, TW, Barone-Adesi, F, Barqawi, HJ, Barrero, LH, Barrow, A, Barteit, S, Basharat, Z, Basiru, A, Basso, JD, Bastan, M-M, Basu, S, Batchu, S, Batra, K, Batra, R, Baune, BT, Bayati, M, Bayileyegn, NS, Beaney, T, Behnoush, AH, Beiranvand, M, Béjot, Y, Bekele, A, Belgaumi, UI, Bell, AW, Bell, ML, Bello, MB, Bello, OO, Belo, L, Beloukas, A, Bendak, S, Bennett, DA, Bennitt, FB, Bensenor, IM, Benzian, H, Beran, A, Berezvai, Z, Bernabe, E, Bernstein, RS, Bettencourt, PJG, Bhagavathula, AS, Bhala, N, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhat, AN, Bhat, V, Bhatti, GK, Bhatti, JS, Bhatti, MS, Bhatti, R, Bhuiyan, MA, Bhutta, ZA, Bikbov, B, Bishai, JD, Bisignano, C, Biswas, A, Biswas, B, Biswas, RK, Bjørge, T, Boachie, MK, Boakye, H, Bockarie, MJ, Bodolica, V, Bodunrin, AO, Bogale, EK, Bolla, SR, Boloor, A, Bonakdar Hashemi, M, Boppana, SH, Bora Basara, B, Borhany, H, Botero Carvajal, A, Bouaoud, S, Boufous, S, Bourne, R, Boxe, C, Braithwaite, D, Brant, LC, Brar, A, Breitborde, NJK, Breitner, S, Brenner, H, Briko, AN, Britton, G, Brown, CS, Browne, AJ, Brunoni, AR, Bryazka, D, Bulamu, NB, Bulto, LN, Buonsenso, D, Burkart, K, Burns, RA, Busse, R, Bustanji, Y, Butt, NS, Butt, ZA, Caetano dos Santos, FL, Cagney, J, Cahuana-Hurtado, L, Calina, D, Cámera, LA, Campos, LA, Campos-Nonato, IR, Cao, C, Cao, F, Cao, Y, Capodici, A, Cárdenas, R, Carr, S, Carreras, G, Carrero, JJ, Carugno, A, Carvalho, F, Carvalho, M, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Catapano, AL, Cattaruzza, MS, Caye, A, Cederroth, CR, Cegolon, L, Cenderadewi, M, Cercy, KM, Cerin, E, Chadwick, J, Chakraborty, C, Chakraborty, PA, Chakraborty, S, Chan, JSK, Chan, RNC, Chandan, JS, Chandika, RM, Chaturvedi, P, Chen, A-T, Chen, CS, Chen, H, Chen, MX, Chen, M, Chen, S, Cheng, C-Y, Cheng, ETW, Cherbuin, N, Chi, G, Chichagi, F, Chimed-Ochir, O, Chimoriya, R, Ching, PR, Chirinos-Caceres, JL, Chitheer, A, Cho, WCS, Chong, B, Chopra, H, Chowdhury, R, Christopher, DJ, Chu, D-T, Chukwu, IS, Chung, E, Chung, S-C, Chutiyami, M, Cioffi, I, Cogen, RM, Cohen, AJ, Columbus, A, Conde, J, Corlateanu, A, Cortese, S, Cortesi, PA, Costa, VM, Costanzo, S, Criqui, MH, Cruz, JA, Cruz-Martins, N, Culbreth, GT, da Silva, AG, Dadras, O, Dai, X, Dai, Z, Daikwo, PU, Dalli, LL, Damiani, G, D'Amico, E, D'Anna, L, Darwesh, AM, Das, JK, Das, S, Dash, NR, Dashti, M, Dávila-Cervantes, CA, Davis Weaver, N, Davitoiu, DV, De la Hoz, FP, de la Torre-Luque, A, De Leo, D, Debopadhaya, S, Degenhardt, L, Del Bo', C, Delgado-Enciso, I, Delgado-Saborit, JM, Demoze, CK, Denova-Gutiérrez, E, Dervenis, N, Dervišević, E, Desai, HD, Desai, R, Devanbu, VGC, Dewan, SMR, Dhali, A, Dhama, K, Dhane, AS, Dhimal, ML, Dhimal, M, Dhingra, S, Dhulipala, VR, Dhungana, RR, Dias da Silva, D, Diaz, D, Diaz, LA, Diaz, MJ, Dima, A, Ding, DD, Dinu, M, Djalalinia, S, Do, TC, Do, THP, do Prado, CB, Dodangeh, M, Dohare, S, Dokova, KG, Dong, W, Dongarwar, D, D'Oria, M, Dorostkar, F, Dorsey, ER, Doshi, R, Doshmangir, L, Dowou, RK, Driscoll, TR, Dsouza, AC, Dsouza, HL, Dumith, SC, Duncan, BB, Duraes, AR, Duraisamy, S, Dushpanova, A, Dzianach, PA, Dziedzic, AM, Ebrahimi, A, Echieh, CP, Ed-Dra, A, Edinur, HA, Edvardsson, D, Edvardsson, K, Efendi, F, Eftekharimehrabad, A, Eini, E, Ekholuenetale, M, Ekundayo, TC, El Arab, RA, El Sayed Zaki, M, El-Dahiyat, F, Elemam, NM, Elgar, FJ, ElGohary, GMT, Elhabashy, HR, Elhadi, M, Elmehrath, AO, Elmeligy, OAA, Elshaer, M, Elsohaby, I, Emeto, TI, Esfandiari, N, Eshrati, B, Eslami, M, Esmaeili, SV, Estep, K, Etaee, F, Fabin, N, Fagbamigbe, AF, Fagbule, OF, Fahimi, S, Falzone, L, Fareed, M, Farinha, CSES, Faris, MEM, Faris, PS, Faro, A, Fasina, FO, Fatehizadeh, A, Fauk, NK, Fazylov, T, Feigin, VL, Feng, X, Fereshtehnejad, S-M, Feroze, AH, Ferrara, P, Ferrari, AJ, Ferreira, N, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Fitriana, I, Flavel, J, Flohr, C, Flood, D, Flor, LS, Foigt, NA, Folayan, MO, Force, LM, Fortuna, D, Foschi, M, Franklin, RC, Freitas, A, Friedman, SD, Fux, B, G, S, Gaal, PA, Gaihre, S, Gajdács, M, Galali, Y, Gallus, S, Gandhi, AP, Ganesan, B, Ganiyani, MA, Garcia, V, Gardner, WM, Garg, RK, Gautam, RK, Gebi, TG, Gebregergis, MW, Gebrehiwot, M, Gebremariam, TBB, Gebremeskel, TG, Gerema, U, Getacher, L, Getahun, GKA, Getie, M, Ghadirian, F, Ghafarian, S, Ghaffari Jolfayi, A, Ghailan, KY, Ghajar, A, Ghasemi, M, Ghasempour Dabaghi, G, Ghasemzadeh, A, Ghassemi, F, Ghazy, RM, Gholami, A, Gholamrezanezhad, A, Gholizadeh, N, Ghorbani, M, Gil, AU, Gil, GF, Gilbertson, NM, Gill, PS, Gill, TK, Gindaba, EZ, Girmay, A, Glasbey, JC, Gnedovskaya, EV, Göbölös, L, Godinho, MA, Goel, A, Golechha, M, Goleij, P, Golinelli, D, Gomes, NGM, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Gouravani, M, Goyal, A, Graham, SM, Grivna, M, Grosso, G, Guan, S-Y, Guarducci, G, Gubari, MIM, Guha, A, Guicciardi, S, Gulati, S, Gulisashvili, D, Gunawardane, DA, Guo, C, Gupta, AK, Gupta, B, Gupta, M, Gupta, R, Gupta, RD, Gupta, S, Gupta, VB, Gupta, VK, Habibzadeh, F, Habibzadeh, P, Hadaro, TS, Hadian, Z, Haep, N, Haghi-Aminjan, H, Haghmorad, D, Hagins, H, Haile, D, Hailu, A, Hajj Ali, A, Halboub, ES, Halimi, A, Hall, BJ, Haller, S, Halwani, R, Hamadeh, RR, Hamdy, NM, Hameed, S, Hamidi, S, Hammoud, A, Hanif, A, Hanifi, N, Haq, ZA, Haque, MR, Harapan, H, Hargono, A, Haro, JM, Hasaballah, AI, Hasan, I, Hasan, MJ, Hasan, SMM, Hasani, H, Hasanian, M, Hashmeh, N, Hasnain, MS, Hassan, A, Hassan, I, Hassan Zadeh Tabatabaei, MS, Hassani, S, Hassanipour, S, Hassankhani, H, Haubold, J, Havmoeller, RJ, Hay, SI, Hebert, JJ, Hegazi, OE, Hegena, TY, Heidari, G, Heidari, M, Helfer, B, Hemmati, M, Henson, CA, Herbert, ME, Herteliu, C, Heuer, A, Hezam, K, Hinneh, TK, Hiraike, Y, Hoan, NQ, Holla, R, Hon, J, Hoque, ME, Horita, N, Hossain, S, Hosseini, SE, Hosseinzadeh, H, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hoven, H, Hsairi, M, Hsu, JM, Hu, C, Huang, J, Huda, MN, Hulland, EN, Hultström, M, Hushmandi, K, Hussain, J, Hussein, NR, Huynh, CK, Huynh, H-H, Ibitoye, SE, Idowu, OO, Ihler, AL, Ikeda, N, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imam, MT, Immurana, M, Inbaraj, LR, Irham, LM, Isa, MA, Islam, MR, Ismail, F, Ismail, NE, Iso, H, Isola, G, Iwagami, M, Iwu, CCD, Iwu-Jaja, CJ, J, V, Jaafari, J, Jacob, L, Jacobsen, KH, Jadidi-Niaragh, F, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jain, A, Jain, N, Jairoun, AA, Jaiswal, A, Jakovljevic, M, Jalilzadeh Yengejeh, R, Jamora, RDG, Jatau, AI, Javadov, S, Javaheri, T, Jayaram, S, Jeganathan, J, Jeswani, BM, Jiang, H, Johnson, CO, Jokar, M, Jomehzadeh, N, Jonas, JB, Joo, T, Joseph, A, Joseph, N, Joshi, V, Joshua, CE, Jozwiak, JJ, Jürisson, M, Kaambwa, B, Kabir, A, Kabir, Z, Kadashetti, V, Kahn, EM, Kalani, R, Kaliyadan, F, Kalra, S, Kamath, R, Kanagasabai, T, Kanchan, T, Kandel, H, Kanmiki, EW, Kanmodi, KK, Kansal, SK, Kapner, DJ, Kapoor, N, Karagiannidis, E, Karajizadeh, M, Karakasis, P, Karanth, SD, Karaye, IM, Karch, A, Karim, A, Karimi, H, Karmakar, S, Kashoo, FZ, Kasraei, H, Kassahun, WD, Kassebaum, NJ, Kassel, MB, Katikireddi, SV, Kauppila, JH, Kawakami, N, Kaydi, N, Kayode, GA, Kazemi, F, Keiyoro, PN, Kemmer, L, Kempen, JH, Kerr, JA, Kesse-Guyot, E, Khader, YS, Khafaie, MA, Khajuria, H, Khalaji, A, Khalil, M, Khalilian, A, Khamesipour, F, Khan, A, Khan, MN, Khan, M, Khan, MJ, Khan, MAB, Khanmohammadi, S, Khatab, K, Khatatbeh, H, Khatatbeh, MM, Khatib, MN, Khavandegar, A, Khayat Kashani, HR, Khidri, FF, Khodadoust, E, Khormali, M, Khorrami, Z, Khosla, AA, Khosrowjerdi, M, Khreis, H, Khusun, H, Kifle, ZD, Kim, K, Kim, MS, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Knibbs, LD, Knudsen, AKS, Koh, DSQ, Kolahi, A-A, Kompani, F, Kong, J, Koren, G, Korja, M, Korshunov, VA, Korzh, O, Kosen, S, Kothari, N, Koul, PA, Koulmane Laxminarayana, SL, Krishan, K, Krishnamoorthy, V, Krishnamoorthy, Y, Krishnan, B, Krohn, KJ, Kuate Defo, B, Kucuk Bicer, B, Kuddus, MA, Kuddus, M, Kugbey, N, Kuitunen, I, Kulimbet, M, Kulkarni, V, Kumar, A, Kumar, N, Kumar, V, Kundu, S, Kurmi, OP, Kusnali, A, Kusuma, D, Kutluk, T, La Vecchia, C, Ladan, MA, Laflamme, L, Lahariya, C, Lai, DTC, Lal, DK, Lallukka, T, Lám, J, Lan, Q, Lan, T, Landires, I, Lanfranchi, F, Langguth, B, Lansingh, VC, Laplante-Lévesque, A, Larijani, B, Larsson, AO, Lasrado, S, Lauriola, P, Le, H-H, Le, LKD, Le, NHH, Le, TTT, Leasher, JL, Ledda, C, Lee, M, Lee, PH, Lee, SW, Lee, SWH, Lee, YH, LeGrand, KE, Leigh, J, Leong, E, Lerango, TL, Lescinsky, H, Leung, J, Li, M-C, Li, W-Z, Li, W, Li, Y, Li, Z, Ligade, VS, Lim, L-L, Lim, SS, Lin, R-T, Lin, S, Liu, C, Liu, G, Liu, J, Liu, RT, Liu, S, Liu, W, Liu, X, Livingstone, KM, Llanaj, E, Lohiya, A, López-Bueno, R, Lopukhov, PD, Lorkowski, S, Lotufo, PA, Lozano, R, Lubinda, J, Lucchetti, G, Luo, L, lv, H, M Amin, HI, Ma, ZF, Maass, KL, Mabrok, M, Machairas, N, Machoy, M, Mafhoumi, A, Magdy Abd El Razek, M, Maghazachi, AA, Mahadeshwara Prasad, DR, Maharaj, SB, Mahmoud, MA, Mahmoudi, E, Majeed, A, Makram, OM, Makris, KC, Malasala, S, Maled, V, Malhotra, K, Malik, AA, Malik, I, Malinga, LA, Malta, DC, Mamun, AA, Manda, AL, Manla, Y, Mansour, A, Mansouri, B, Mansouri, P, Mansourian, M, Mansournia, MA, Mantovani, LG, Manu, E, Marateb, HR, Maravilla, JC, Marsh, E, Martinez, G, Martinez-Piedra, R, Martini, S, Martins-Melo, FR, Martorell, M, Marx, W, Maryam, S, Mathangasinghe, Y, Mathioudakis, AG, Matozinhos, FP, Mattumpuram, J, Maugeri, A, Maulik, PK, Mayeli, M, Mazidi, M, Mazzotti, A, McGrath, JJ, McKee, M, McKowen, ALW, McLaughlin, SA, McPhail, MA, McPhail, SM, Mechili, EA, Mehmood, A, Mehmood, K, Mehrabani-Zeinabad, K, Mehrabi Nasab, E, Meier, T, Mejia-Rodriguez, F, Mekene Meto, T, Mekonnen, BD, Menezes, RG, Mengist, B, Mensah, GA, Mensah, LG, Mentis, A-FA, Meo, SA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mesfin, BA, Mestrovic, T, Mettananda, KCD, Mettananda, S, Miazgowski, T, Micha, G, Michalek, IM, Micheletti Gomide Nogueira de Sá, AC, Miller, TR, Mirarefin, M, Mirghafourvand, M, Mirica, A, Mirijello, A, Mirrakhimov, EM, Mirshahi, A, Mirzaei, M, Mishra, AK, Mishra, V, Mitchell, PB, Mithra, P, Mittal, C, Moazen, B, Moberg, ME, Mocciaro, G, Mohamadkhani, A, Mohamed, AZ, Mohamed, AI, Mohamed, J, Mohamed, MFH, Mohamed, NS, Mohammadi, E, Mohammadi, S, Mohammadian-Hafshejani, A, Mohammadifard, N, Mohammed, H, Mohammed, M, Mohammed, S, Mokdad, AH, Monasta, L, Mondello, S, Moni, MA, Moodi Ghalibaf, A, Moore, CE, Moradi, M, Moradi, Y, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Morze, J, Mosaddeghi Heris, R, Mossialos, E, Motappa, R, Mougin, V, Mousavi, P, Msherghi, A, Mubarik, S, Muccioli, L, Mueller, UO, Mulita, F, Mullany, EC, Munjal, K, Murillo-Zamora, E, Murlimanju, BV, Musina, A-M, Mustafa, G, Muthu, S, Muthupandian, S, Muthusamy, R, Muzaffar, M, Myung, W, Nafei, A, Nagarajan, AJ, Nagaraju, SP, Nagel, G, Naghavi, M, Naghavi, P, Naik, GR, Naik, G, Nainu, F, Nair, TS, Najdaghi, S, Nakhostin Ansari, N, Nanavaty, DP, Nangia, V, Narasimha Swamy, S, Narimani Davani, D, Nascimento, BR, Nascimento, GG, Nashwan, AJ, Natto, ZS, Nauman, J, Navaratna, SNK, Naveed, M, Nayak, BP, Nayak, VC, Ndejjo, R, Nduaguba, SO, Negash, H, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nejjari, C, Nematollahi, MH, Nepal, S, Neupane, S, Ng, M, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, DH, Nguyen, NNY, Nguyen, PT, Nguyen, VT, Nguyen Tran Minh, D, Niazi, RK, Nicholson, SI, Nie, J, Nikoobar, A, Nikpoor, AR, Ningrum, DNA, Nnaji, CA, Noman, EA, Nomura, S, Noroozi, N, Norrving, B, Noubiap, JJ, Nri-Ezedi, CA, Ntaios, G, Ntsekhe, M, Nunemo, MH, Nurrika, D, Nutor, JJ, Oancea, B, O'Connell, EM, Odetokun, IA, O'Donnell, MJ, Oduro, MS, Ogunfowokan, AA, Ogunkoya, A, Oh, I-H, Okati-Aliabad, H, Okeke, SR, Okekunle, AP, Okonji, OC, Olagunju, AT, Olasupo, OO, Olatubi, MI, Oliveira, AB, Oliveira, GMM, Olorukooba, AA, Olufadewa, II, Olusanya, BO, Olusanya, JO, Oluwafemi, YD, Omar, HA, Omar Bali, A, Omer, GL, Ong, KL, Ong, S, Onwujekwe, OE, Onyedibe, KI, Oppong, AF, Ordak, M, Orish, VN, Ornello, R, Orpana, HM, Ortiz, A, Ortiz-Prado, E, Osman, WMS, Ostroff, SM, Osuagwu, UL, Otoiu, A, Otstavnov, N, Otstavnov, SS, Ouyahia, A, Owolabi, MO, Oyeyemi, IT, Oyeyemi, OT, P A, MP, Pacheco-Barrios, K, Padron-Monedero, A, Padubidri, JR, Pal, PK, Palicz, T, Pan, F, Pan, H-F, Pana, A, Panda, SK, Panda-Jonas, S, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Pantazopoulos, I, Pantea Stoian, AM, Papadopoulou, P, Parent, MC, Parija, PP, Parikh, RR, Park, S, Parsons, N, Pashaei, A, Pasovic, M, Passera, R, Patil, S, Patoulias, D, Patthipati, VS, Paudel, U, Pawar, S, Pazoki Toroudi, H, Peden, AE, Pedersini, P, Peng, M, Pensato, U, Pepito, VCF, Peprah, EK, Peprah, P, Peres, MFP, Perianayagam, A, Perico, N, Perna, S, Pesudovs, K, Petcu, I-R, Petermann-Rocha, FE, Pham, HT, Philip, AK, Phillips, MR, Pickering, BV, Pierannunzio, D, Pigeolet, M, Pigott, DM, Piracha, ZZ, Piradov, MA, 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YF, Wiangkham, T, Wickramasinghe, ND, Wilkerson, C, Willeit, P, Wilson, S, Wong, YJ, Wongsin, U, Wozniak, S, Wu, C, Wu, D, Wu, F, Wu, Z, Xia, J, Xiao, H, Xu, S, Xu, X, Xu, YY, Yadav, MK, Yaghoubi, S, Yamagishi, K, Yang, L, Yano, Y, Yaribeygi, H, Yasufuku, Y, Ye, P, Yesodharan, R, Yesuf, SA, Yezli, S, Yi, S, Yiğit, A, Yigzaw, ZA, Yin, D, Yip, P, Yismaw, MB, Yon, DK, Yonemoto, N, You, Y, Younis, MZ, Yousefi, Z, Yu, C, Yu, Y, Zadey, S, Zadnik, V, Zakham, F, Zaki, N, Zakzuk, J, Zamagni, G, Zaman, SB, Zandieh, GGZ, Zanghì, A, Zar, HJ, Zare, I, Zarimeidani, F, Zastrozhin, MS, Zeng, Y, Zhai, C, Zhang, AL, Zhang, H, Zhang, L, Zhang, M, Zhang, Y, Zhang, Z, Zhang, Z-J, Zhao, H, Zhao, JT, Zhao, X-JG, Zhao, Y, Zhong, C, Zhou, J, Zhou, S, Zhu, B, Zhu, L, Zhu, Z, Ziaeian, B, Ziafati, M, Zielińska, M, Zimsen, SRM, Zoghi, G, Zoller, T, Zumla, A, Zyoud, SH, Murray, CJL, and Gakidou, E
Published: 2024

2. Transcranial magnetic stimulation for the treatment of anxiety disorder

Author: Rodrigues PA, Zaninotto AL, Neville IS, Hayashi CY, Brunoni AR, Teixeira MJ, and Paiva WS
Subjects: Transcranial Magnetic Stimulation, Anxiety Disorders, Review, Treatment, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract: Priscila Aparecida Rodrigues,1 Ana Luiza Zaninotto,1,2 Iuri Santana Neville,1 Cintya Yukie Hayashi,1 André R Brunoni,3 Manoel Jacobsen Teixeira,1 Wellingson Silva Paiva1 1Department of Neurology, University of São Paulo, São Paulo, Brazil; 2Laboratory of Neuromodulation, Harvard Medical School, Boston, MA, USA; 3Institute of Psychiatry, University of São Paulo, São Paulo, BrazilCorrespondence: Priscila Aparecida RodriguesCaring - Clinic of Psychology and Neuropsychology, Avenue Vereador Narciso Yague, Guimarães, Number 1145 – Sala 1610, Mogi das Cruzes, São Paulo 08780-500, BrazilTel +55 1 199 654 2972Email pri.ar@outlook.comAbstract: Anxiety is currently one of the main mood changes and can impair the quality of life of the individual when associated with other neurological or psychiatric disorders. Neuromodulation has been highlighted as a form of treatment of several pathologies, including those involving anxiety symptoms. Among the neuromodulatory options with the potential to improve mood changes, we highlight repetitive transcranial magnetic stimulation (rTMS). rTMS is a viable therapeutical option for neuropsychiatric dysfunctions of high prevalence and is important for the understanding of pathological and neuropsychological adaptation processes. Even with this potential, and high relevance of intervention, we observe the scarcity of literature that covers this subject. The objective of this study was to carry out a survey of the current literature, using scientific databases for the last five years. We found 32 studies reporting the effects of rTMS on anxiety, 7 on anxiety disorders and 25 on anxiety symptoms as comorbidities of neurological or psychiatric disorders. This survey suggests the need for further studies using TMS for anxiety in order to seek strategies that minimize these anxiety effects on the quality of life of the victims of this disorder.Keywords: transcranial magnetic stimulation, anxiety disorders, review, treatment
Published: 2019

3. Transcranial direct current stimulation for Obsessive-Compulsive Disorder: patient selection and perspectives

Author: da Silva RMF, Brunoni AR, Miguel EC, and Shavitt RG
Subjects: obsessive-compulsive disorder, transcranial direct current stimulation, neuromodulation., Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract: Renata de Melo Felipe da Silva,1 Andre Russowsky Brunoni,2 Eurípedes Constantino Miguel,1 Roseli Gedanke Shavitt3 1Department and Institute of Psychiatry, Obsessive-Compulsive Spectrum Disorders Program and Service of Interdisciplinary Neuromodulation (SIN), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil; 2Department and Institute of Psychiatry, Department of Internal Medicine, Laboratory of Neurosciences (LIM-27), Service of Interdisciplinary Neuromodulation (SIN), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil; 3Department and Institute of Psychiatry and Director of the Obsessive-Compulsive Spectrum Disorders Program, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BrazilCorrespondence: Roseli Gedanke ShavittInstituto de Psiquiatria – HC-FMUSP, R. Dr Ovidio Pires de Campos 785 3o Andar Ala Norte, São Paulo, SP CEP 05403-000, BrazilEmail roseligshavitt@gmail.comAbstract: Transcranial direct current stimulation (tDCS) is a non-invasive neuromodulation technique that has been increasingly examined as an alternative treatment modality for Obsessive-Compulsive Disorder (OCD), due to its low costs, ease of use, and portability. Previous studies have suggested that tDCS may achieve a reasonably good response and present a safe tolerability profile. However, at this point there is not strong evidence for the use of this modality of treatment. Considering that OCD is very heterogeneous with regard to clinical presentation, clinical severity and comorbidities, we have conducted a systematic review of studies on tDCS for OCD aiming to evaluate the clinical characteristics of the selected patients and to discuss perspectives for future studies. A literature search was conducted from inception until March 2019 at PubMed/MedLine and Scielo using the following keywords: “tdcs” or “transcranial direct current stimulation” and “obsessive compulsive disorder”. Out of 45 manuscripts, twelve were included. Most of the included studies are uncontrolled. A few controlled studies reported improvement of OCD, but some limitations need to be considered. Our main findings were that the selected patients were adults with severe OCD and psychiatric comorbidities, medicated at the time of assessment and resistant to at least one previous conventional treatment. We could not find any studies including specific populations such as adolescents, elderly, pregnant and breastfeeding participants. Similarly, the potential use of tDCS has not been tested in patients with less severe OCD, as a first treatment option, or for those who do not tolerate pharmacological treatments. These opportunities should be explored in future controlled trials.Keywords: obsessive-compulsive disorder, transcranial direct current stimulation, neuromodulation
Published: 2019

4. Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000-2018

Author: Bhattacharjee, NV, Schaeffer, LE, Hay, SI, Lu, D, Schipp, MF, Lazzar-Atwood, A, Donkers, KM, Abady, GG, Abd-Allah, F, Abdelalim, A, Abebo, ZH, Abejie, AN, Abosetugn, AE, Abreu, LG, Abrigo, MRM, Abu-Gharbieh, E, Abushouk, AI, Adamu, AL, Adedeji, IA, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Agudelo-Botero, M, Aji, B, Akinyemi, OO, Alamneh, AA, Alanezi, FM, Alanzi, TM, Albright, J, Alcalde-Rabanal, JE, Alemu, BW, Alhassan, RK, Ali, BA, Ali, S, Alinia, C, Alipour, V, Amit, AML, Amugsi, DA, Anbesu, EW, Ancuceanu, R, Anjomshoa, M, Ansari, F, Antonio, CAT, Anvari, D, Arabloo, J, Arora, A, Artanti, KD, Asemahagn, MA, Asmare, WN, Atout, MMW, Ausloos, M, Awoke, N, Quintanilla, BPA, Ayanore, MA, Aynalem, YA, Ayza, MA, Azene, ZN, Darshan, BB, Badiye, AD, Baig, AA, Bakkannavar, SM, Banach, M, Banik, PC, Bärnighausen, TW, Basaleem, H, Bayati, M, Baye, BA, Bedi, N, Belay, SA, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhutta, ZA, Bijani, A, Birhan, TA, Birihane, BM, Bitew, ZW, Bohlouli, S, Bohluli, M, Bojia, HA, Boloor, A, Brady, OJ, Bragazzi, NL, Brunoni, AR, Budhathoki, SS, Nagaraja, SB, Butt, ZA, Cárdenas, R, Castaldelli-Maia, JM, Castro, F, Cernigliaro, A, Charan, J, Chatterjee, P, Chatterjee, S, Chattu, VK, Chaturvedi, S, Chowdhury, MAK, Chu, D-T, Collison, ML, Cook, AJ, Cork, MA, Couto, RAS, Dagnew, B, Dai, H, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwesh, AM, Darwish, AH, Daryani, A, Das, JK, Gupta, RD, Dávila-Cervantes, CA, Davis, AC, Weaver, ND, Denova-Gutiérrez, E, Deribe, K, Desalew, A, Deshpande, A, Dessie, A, Deuba, K, Dharmaratne, SD, Dhimal, M, Dhungana, GP, Diaz, D, Didarloo, A, Dipeolu, IO, Doan, LP, Duko, B, Duraes, AR, Dwyer-Lindgren, L, Earl, L, Zaki, MES, Tantawi, ME, Elema, TB, Elhabashy, HR, El-Jaafary, SI, Faris, PS, Faro, A, Farzadfar, F, Feigin, VL, Feleke, BE, Ferede, TY, Fischer, F, Foigt, NA, Folayan, MO, Franklin, RC, Gad, MM, Gaidhane, S, Gardner, WM, Geberemariyam, BS, Gebregiorgis, BG, Gebremedhin, KB, Gebremichael, B, Ghaffarpasand, F, Gilani, SA, Ginindza, TG, Glagn, M, Golechha, M, Gonfa, KB, Goulart, BNG, Gudi, N, Guido, D, Guled, RA, Guo, Y, Hamidi, S, Handiso, DW, Hasaballah, AI, Hassan, A, Hayat, K, Hegazy, MI, Heidari, B, Henry, NJ, Herteliu, C, de, Hidru, HD, Ho, HC, Hoang, CL, Holla, R, Hon, J, Hosseini, M, Hosseinzadeh, M, Househ, M, Hsairi, M, Hu, G, Huda, TM, Hwang, B-F, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Iqbal, U, Irvani, SSN, Islam, MM, Iwu, CCD, Iwu, CJ, Jain, A, Janodia, MD, Javaheri, T, John-Akinola, YO, Johnson, KB, Joukar, F, Jozwiak, JJ, Kabir, A, Kalankesh, LR, Kalhor, R, Kamath, A, Kamyari, N, Kanchan, OT, Kapoor, N, Matin, BK, Karimi, SE, Kasaye, HK, Kassahun, G, Kassebaum, NJ, Kayode, GA, Karyani, AK, Keiyoro, PN, Kelkay, B, Khalid, N, Khan, MN, Khatab, K, Khater, AM, Khater, MM, Khatib, MN, Kim, YJ, Kimokoti, RW, Kinyoki, DK, Kisa, A, Kisa, S, Kosen, S, Krishan, K, Kulkarni, V, Kumar, GA, Kumar, M, Kumar, N, Kumar, P, Kurmi, OP, Kusuma, D, Vecchia, CL, Lad, SD, Lami, FH, Landires, I, Lansingh, VC, Lasrado, S, Lee, PH, LeGrand, KE, Letourneau, ID, Lewycka, S, Li, B, Li, M-C, Li, S, Liu, X, Lodha, R, Lopez, JCF, Louie, C, Machado, DB, Maled, V, Maleki, S, Malta, DC, Mamun, AA, Manafi, N, Mansournia, MA, Mapoma, CC, Marczak, LB, Martins-Melo, FR, Mehndiratta, MM, Mejia-Rodriguez, F, Mekonnen, TC, Mendoza, W, Menezes, RG, Mengesha, EW, Mersha, AM, Miller, TR, Mini, GK, Mirrakhimov, EM, Misra, S, Moghadaszadeh, M, Mohammad, DK, Mohammadian-Hafshejani, A, Mohammed, JA, Mohammed, S, Mokdad, AH, Montero-Zamora, PA, Moradi, M, Moradzadeh, R, Moraga, P, Mosser, JF, Mousavi, SM, Khaneghah, AM, Munro, SB, Muriithi, MK, Mustafa, G, Muthupandian, S, Nagarajan, AJ, Naik, G, Naimzada, MD, Nangia, V, Nascimento, BR, Nayak, VC, Ndejjo, R, Ndwandwe, DE, Negoi, I, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, CT, Nguyen, DN, Nguyen, HLT, Nigussie, SN, Nigussie, TTN, Nikbakhsh, R, Nnaji, CA, Nunez-Samudio, V, Oancea, B, Oghenetega, OB, Olagunju, AT, Olusanya, BO, Olusanya, JO, Omer, MO, Onwujekwe, OE, Ortega-Altamirano, DV, Osgood-Zimmerman, AE, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pana, A, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Parsekar, SS, Pasupula, DK, Patel, UK, Pathak, A, Pathak, M, Pattanshetty, SM, Patton, GC, Paulos, K, Pepito, VCF, Pickering, BV, Pinheiro, M, Piwoz, EG, Pokhrel, KN, Pourjafar, H, Prada, SI, Pribadi, DRA, Syed, ZQ, Rabiee, M, Rabiee, N, Rahim, F, Rahimzadeh, S, Rahman, A, Rahman, MHU, Rahmani, AM, Rai, RK, Ranabhat, CL, Rao, SJ, Rastogi, P, Rathi, P, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Rawat, R, Regassa, LD, Rego, MAS, Reiner, RC, Reshmi, B, Rezapour, A, Ribeiro, AI, Rickard, J, Roever, L, Rumisha, SF, Rwegerera, GM, Sagar, R, Sajadi, SM, Salem, MR, Samy, AM, Santric-Milicevic, MM, Saraswathy, SYI, Sarker, AR, Sartorius, B, Sathian, B, Saxena, D, Sbarra, AN, Sengupta, D, Senthilkumaran, S, Sha, F, Shafaat, O, Shaheen, AA, Shaikh, MA, Shalash, AS, Shannawaz, M, Sheikh, A, Shetty, BSK, Shetty, RS, Shibuya, K, Shiferaw, WS, Shin, JI, Silva, DAS, Singh, NP, Singh, P, Singh, S, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soheili, A, Soltani, S, Sorrie, MB, Spurlock, EE, Steuben, KM, Sudaryanto, A, Sufiyan, MB, Swartz, SJ, Tadesse, EG, Tamiru, AT, Tapak, L, Tareque, MI, Tarigan, IU, Tesema, GA, Tesfay, FH, Teshome, A, Tessema, ZT, Thankappan, KR, Thapar, R, Thomas, N, Topor-Madry, R, Tovani-Palone, MR, Traini, E, Tran, BX, Truong, PN, Tsegaye, BTBT, Ullah, I, Umeokonkwo, CD, Unnikrishnan, B, Upadhyay, E, Uzochukwu, BSC, VanderHeide, JD, Violante, FS, Vo, B, Wado, YD, Waheed, Y, Wamai, RG, Wang, F, Wang, Y, Wang, Y-P, Wickramasinghe, ND, Wiens, KE, Wiysonge, CS, Woyczynski, L, Wu, A-M, Wu, C, Yamada, T, Yaya, S, Yeshaneh, A, Yeshaw, Y, Yeshitila, YG, Yilma, MT, Yip, P, Yonemoto, N, Yosef, T, Younis, MZ, Yousuf, AY, Yu, C, Yu, Y, Yuce, D, Zafar, S, Zaidi, SS, Zaki, L, Zakzuk, J, Zamanian, M, Zar, HJ, Zastrozhin, MS, Zastrozhina, A, Zelellw, DA, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Zodpey, S, Zuniga, YMH, Local Burden of Disease Exclusive Breastfeeding Collaborators, Bhattacharjee, Natalia V, Schaeffer, Lauren E, Hay, Simon I, Duko, Bereket, Yeshaw, Yigizie, Local Burden of Disease Exclusive Breastfeeding Collaborators, Bhattacharjee N.V., Schaeffer L.E., Hay S.I., Lu D., Schipp M.F., Lazzar-Atwood A., Donkers K.M., Abady G.G., Abd-Allah F., Abdelalim A., Abebo Z.H., Abejie A.N., Abosetugn A.E., Abreu L.G., Abrigo M.R.M., Abu-Gharbieh E., Abushouk A.I., Adamu A.L., Adedeji I.A., Adegbosin A.E., Adekanmbi V., Adetokunboh O.O., Agudelo-Botero M., Aji B., Akinyemi O.O., Alamneh A.A., Alanezi F.M., Alanzi T.M., Albright J., Alcalde-Rabanal J.E., Alemu B.W., Alhassan R.K., Ali B.A., Ali S., Alinia C., Alipour V., Amit A.M.L., Amugsi D.A., Anbesu E.W., Ancuceanu R., Anjomshoa M., Ansari F., Antonio C.A.T., Anvari D., Arabloo J., Arora A., Artanti K.D., Asemahagn M.A., Asmare W.N., Atout M.M.W., Ausloos M., Awoke N., Quintanilla B.P.A., Ayanore M.A., Aynalem Y.A., Ayza M.A., Azene Z.N., Darshan B.B., Badiye A.D., Baig A.A., Bakkannavar S.M., Banach M., Banik P.C., Barnighausen T.W., Basaleem H., Bayati M., Baye B.A., Bedi N., Belay S.A., Bhagavathula A.S., Bhandari D., Bhardwaj N., Bhardwaj P., Bhutta Z.A., Bijani A., Birhan T.A., Birihane B.M., Bitew Z.W., Bohlouli S., Bohluli M., Bojia H.A., Boloor A., Brady O.J., Bragazzi N.L., Brunoni A.R., Budhathoki S.S., Nagaraja S.B., Butt Z.A., Cardenas R., Castaldelli-Maia J.M., Castro F., Cernigliaro A., Charan J., Chatterjee P., Chatterjee S., Chattu V.K., Chaturvedi S., Chowdhury M.A.K., Chu D.-T., Collison M.L., Cook A.J., Cork M.A., Couto R.A.S., Dagnew B., Dai H., Dandona L., Dandona R., Daneshpajouhnejad P., Darwesh A.M., Darwish A.H., Daryani A., Das J.K., Gupta R.D., Davila-Cervantes C.A., Davis A.C., Weaver N.D., Denova-Gutierrez E., Deribe K., Desalew A., Deshpande A., Dessie A., Deuba K., Dharmaratne S.D., Dhimal M., Dhungana G.P., Diaz D., Didarloo A., Dipeolu I.O., Doan L.P., Duko B., Duraes A.R., Dwyer-Lindgren L., Earl L., Zaki M.E.S., Tantawi M.E., Elema T.B., Elhabashy H.R., El-Jaafary S.I., Faris P.S., Faro A., Farzadfar F., Feigin V.L., Feleke B.E., Ferede T.Y., Fischer F., Foigt N.A., Folayan M.O., Franklin R.C., Gad M.M., Gaidhane S., Gardner W.M., Geberemariyam B.S., Gebregiorgis B.G., Gebremedhin K.B., Gebremichael B., Ghaffarpasand F., Gilani S.A., Ginindza T.G., Glagn M., Golechha M., Gonfa K.B., Goulart B.N.G., Gudi N., Guido D., Guled R.A., Guo Y., Hamidi S., Handiso D.W., Hasaballah A.I., Hassan A., Hayat K., Hegazy M.I., Heidari B., Henry N.J., Herteliu C., de Hidru H.D., Ho H.C., Hoang C.L., Holla R., Hon J., Hosseini M., Hosseinzadeh M., Househ M., Hsairi M., Hu G., Huda T.M., Hwang B.-F., Ibitoye S.E., Ilesanmi O.S., Ilic I.M., Ilic M.D., Inbaraj L.R., Iqbal U., Irvani S.S.N., Islam M.M., Iwu C.C.D., Iwu C.J., Jain A., Janodia M.D., Javaheri T., John-Akinola Y.O., Johnson K.B., Joukar F., Jozwiak J.J., Kabir A., Kalankesh L.R., Kalhor R., Kamath A., Kamyari N., Kanchan O.T., Kapoor N., Matin B.K., Karimi S.E., Kasaye H.K., Kassahun G., Kassebaum N.J., Kayode G.A., Karyani A.K., Keiyoro P.N., Kelkay B., Khalid N., Khan M.N., Khatab K., Khater A.M., Khater M.M., Khatib M.N., Kim Y.J., Kimokoti R.W., Kinyoki D.K., Kisa A., Kisa S., Kosen S., Krishan K., Kulkarni V., Kumar G.A., Kumar M., Kumar N., Kumar P., Kurmi O.P., Kusuma D., Vecchia C.L., Lad S.D., Lami F.H., Landires I., Lansingh V.C., Lasrado S., Lee P.H., LeGrand K.E., Letourneau I.D., Lewycka S., Li B., Li M.-C., Li S., Liu X., Lodha R., Lopez J.C.F., Louie C., Machado D.B., Maled V., Maleki S., Malta D.C., Mamun A.A., Manafi N., Mansournia M.A., Mapoma C.C., Marczak L.B., Martins-Melo F.R., Mehndiratta M.M., Mejia-Rodriguez F., Mekonnen T.C., Mendoza W., Menezes R.G., Mengesha E.W., Mersha A.M., Miller T.R., Mini G.K., Mirrakhimov E.M., Misra S., Moghadaszadeh M., Mohammad D.K., Mohammadian-Hafshejani A., Mohammed J.A., Mohammed S., Mokdad A.H., Montero-Zamora P.A., Moradi M., Moradzadeh R., Moraga P., Mosser J.F., Mousavi S.M., Khaneghah A.M., Munro S.B., Muriithi M.K., Mustafa G., Muthupandian S., Nagarajan A.J., Naik G., Naimzada M.D., Nangia V., Nascimento B.R., Nayak V.C., Ndejjo R., Ndwandwe D.E., Negoi I., Nguefack-Tsague G., Ngunjiri J.W., Nguyen C.T., Nguyen D.N., Nguyen H.L.T., Nigussie S.N., Nigussie T.T.N., Nikbakhsh R., Nnaji C.A., Nunez-Samudio V., Oancea B., Oghenetega O.B., Olagunju A.T., Olusanya B.O., Olusanya J.O., Omer M.O., Onwujekwe O.E., Ortega-Altamirano D.V., Osgood-Zimmerman A.E., Otstavnov N., Otstavnov S.S., Owolabi M.O., Mahesh P.A., Padubidri J.R., Pana A., Pandey A., Pandi-Perumal S.R., Pangaribuan H.U., Parsekar S.S., Pasupula D.K., Patel U.K., Pathak A., Pathak M., Pattanshetty S.M., Patton G.C., Paulos K., Pepito V.C.F., Pickering B.V., Pinheiro M., Piwoz E.G., Pokhrel K.N., Pourjafar H., Prada S.I., Pribadi D.R.A., Syed Z.Q., Rabiee M., Rabiee N., Rahim F., Rahimzadeh S., Rahman A., Rahman M.H.U., Rahmani A.M., Rai R.K., Ranabhat C.L., Rao S.J., Rastogi P., Rathi P., Rawaf D.L., Rawaf S., Rawassizadeh R., Rawat R., Regassa L.D., Rego M.A.S., Reiner R.C., Reshmi B., Rezapour A., Ribeiro A.I., Rickard J., Roever L., Rumisha S.F., Rwegerera G.M., Sagar R., Sajadi S.M., Salem M.R., Samy A.M., Santric-Milicevic M.M., Saraswathy S.Y.I., Sarker A.R., Sartorius B., Sathian B., Saxena D., Sbarra A.N., Sengupta D., Senthilkumaran S., Sha F., Shafaat O., Shaheen A.A., Shaikh M.A., Shalash A.S., Shannawaz M., Sheikh A., Shetty B.S.K., Shetty R.S., Shibuya K., Shiferaw W.S., Shin J.I., Silva D.A.S., Singh N.P., Singh P., Singh S., Sintayehu Y., Skryabin V.Y., Skryabina A.A., Soheili A., Soltani S., Sorrie M.B., Spurlock E.E., Steuben K.M., Sudaryanto A., Sufiyan M.B., Swartz S.J., Tadesse E.G., Tamiru A.T., Tapak L., Tareque M.I., Tarigan I.U., Tesema G.A., Tesfay F.H., Teshome A., Tessema Z.T., Thankappan K.R., Thapar R., Thomas N., Topor-Madry R., Tovani-Palone M.R., Traini E., Tran B.X., Truong P.N., Tsegaye B.T.B.T., Ullah I., Umeokonkwo C.D., Unnikrishnan B., Upadhyay E., Uzochukwu B.S.C., VanderHeide J.D., Violante F.S., Vo B., Wado Y.D., Waheed Y., Wamai R.G., Wang F., Wang Y., Wang Y.-P., Wickramasinghe N.D., Wiens K.E., Wiysonge C.S., Woyczynski L., Wu A.-M., Wu C., Yamada T., Yaya S., Yeshaneh A., Yeshaw Y., Yeshitila Y.G., Yilma M.T., Yip P., Yonemoto N., Yosef T., Younis M.Z., Yousuf A.Y., Yu C., Yu Y., Yuce D., Zafar S., Zaidi S.S., Zaki L., Zakzuk J., Zamanian M., Zar H.J., Zastrozhin M.S., Zastrozhina A., Zelellw D.A., Zhang Y., Zhang Z.-J., Zhao X.-J.G., Zodpey S., Zuniga Y.M.H., Collaborators, Local Burden of Disease Exclusive Breastfeeding, and Instituto de Saúde Pública da Universidade do Porto
Subjects: RJ101, Psychological intervention, Breastfeeding, Social Sciences, geography, Behavioral Neuroscience, 0302 clinical medicine, RA0421, Prevalence, Psychology, policy making, 030212 general & internal medicine, Policy Making, humans, media_common, CHILD GROWTH FAILURE, Developing world, 0303 health sciences, education.field_of_study, Psychology, Biological, Geography, Psychology, Experimental, Health Status Disparitie, Multidisciplinary Sciences, Breast Feeding, breast feeding, Scale (social sciences), Science & Technology - Other Topics, Life Sciences & Biomedicine, Human, AFRICA, Social Psychology, Inequality, spatial analysis, media_common.quotation_subject, public policy, Population, prevalence, Public policy, Developing country, Experimental and Cognitive Psychology, Public Policy, Local Burden of Disease Exclusive Breastfeeding Collaborators, Article, Developing Countrie, 03 medical and health sciences, Environmental health, Humans, Nutrition disorders, education, Developing Countries, 030304 developmental biology, Spatial Analysis, Science & Technology, Neurosciences, Health Status Disparities, developing countries, health status disparities, Risk factors, Neurosciences & Neurology, Breast feeding
Abstract: Exclusive breastfeeding (EBF)—giving infants only breast-milk for the first 6 months of life—is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization’s Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030., Bhattacharjee and Schaeffer et al. map exclusive breastfeeding (EBF) in 94 low- and middle-income countries (LMICs), finding increased EBF practice and reduced subnational variation across the majority of LMICs from 2000 to 2018. However, only six LMICs will meet WHO’s target of ≥70% EBF by 2030 nationally, and only three will achieve this in all districts.
Published: 2021

5. Physical and mental health impact of COVID-19 on children, adolescents, and their families: The Collaborative Outcomes study on Health and Functioning during Infection Times - Children and Adolescents (COH-FIT-C&A)

Author: Solmi, M, Estradé, A, Thompson, T, Agorastos, A, Radua, J, Cortese, S, Dragioti, E, Leisch, F, Vancampfort, D, Thygesen, LC, Aschauer, H, Schloegelhofer, M, Akimova, E, Schneeberger, A, Huber, CG, Hasler, G, Conus, P, Cuénod, KQD, von Känel, R, Arrondo, G, Fusar-Poli, P, Gorwood, P, Llorca, PM, Krebs, MO, Scanferla, E, Kishimoto, T, Rabbani, G, Skonieczna-Żydecka, K, Brambilla, P, Favaro, A, Takamiya, A, Zoccante, L, Colizzi, M, Bourgin, J, Kamiński, K, Moghadasin, M, Seedat, S, Matthews, E, Wells, J, Vassilopoulou, E, Gadelha, A, Su, KP, Kwon, JS, Kim, M, Lee, TY, Papsuev, O, Manková, D, Boscutti, A, Gerunda, C, Saccon, D, Righi, E, Monaco, F, Croatto, G, Cereda, G, Demurtas, J, Brondino, N, Veronese, N, Enrico, P, Politi, P, Ciappolino, V, Pfennig, A, Bechdolf, A, Meyer-Lindenberg, A, Kahl, KG, Domschke, K, Bauer, M, Koutsouleris, N, Winter, S, Borgwardt, S, Bitter, I, Balazs, J, Czobor, P, Unoka, Z, Mavridis, D, Tsamakis, K, Bozikas, VP, Tunvirachaisakul, C, Maes, M, Rungnirundorn, T, Supasitthumrong, T, Haque, A, Brunoni, AR, Costardi, CG, Schuch, FB, Polanczyk, G, Luiz, JM, Fonseca, L, Aparicio, LV, Valvassori, SS, Nordentoft, M, Vendsborg, P, Hoffmann, SH, Sehli, J, Sartorius, N, Heuss, S, Guinart, D, Hamilton, J, Kane, J, Rubio, J, Sand, M, Marx, Wolf, Solmi, M, Estradé, A, Thompson, T, Agorastos, A, Radua, J, Cortese, S, Dragioti, E, Leisch, F, Vancampfort, D, Thygesen, LC, Aschauer, H, Schloegelhofer, M, Akimova, E, Schneeberger, A, Huber, CG, Hasler, G, Conus, P, Cuénod, KQD, von Känel, R, Arrondo, G, Fusar-Poli, P, Gorwood, P, Llorca, PM, Krebs, MO, Scanferla, E, Kishimoto, T, Rabbani, G, Skonieczna-Żydecka, K, Brambilla, P, Favaro, A, Takamiya, A, Zoccante, L, Colizzi, M, Bourgin, J, Kamiński, K, Moghadasin, M, Seedat, S, Matthews, E, Wells, J, Vassilopoulou, E, Gadelha, A, Su, KP, Kwon, JS, Kim, M, Lee, TY, Papsuev, O, Manková, D, Boscutti, A, Gerunda, C, Saccon, D, Righi, E, Monaco, F, Croatto, G, Cereda, G, Demurtas, J, Brondino, N, Veronese, N, Enrico, P, Politi, P, Ciappolino, V, Pfennig, A, Bechdolf, A, Meyer-Lindenberg, A, Kahl, KG, Domschke, K, Bauer, M, Koutsouleris, N, Winter, S, Borgwardt, S, Bitter, I, Balazs, J, Czobor, P, Unoka, Z, Mavridis, D, Tsamakis, K, Bozikas, VP, Tunvirachaisakul, C, Maes, M, Rungnirundorn, T, Supasitthumrong, T, Haque, A, Brunoni, AR, Costardi, CG, Schuch, FB, Polanczyk, G, Luiz, JM, Fonseca, L, Aparicio, LV, Valvassori, SS, Nordentoft, M, Vendsborg, P, Hoffmann, SH, Sehli, J, Sartorius, N, Heuss, S, Guinart, D, Hamilton, J, Kane, J, Rubio, J, Sand, M, and Marx, Wolf
Published: 2022

6. The collaborative outcomes study on health and functioning during infection times in adults (COH-FIT-Adults): Design and methods of an international online survey targeting physical and mental health effects of the COVID-19 pandemic

Author: Solmi, M, Estradé, A, Thompson, T, Agorastos, A, Radua, J, Cortese, S, Dragioti, E, Leisch, F, Vancampfort, D, Thygesen, LC, Aschauer, H, Schloegelhofer, M, Akimova, E, Schneeberger, A, Huber, CG, Hasler, G, Conus, P, Cuénod, KQD, von Känel, R, Arrondo, G, Fusar-Poli, P, Gorwood, P, Llorca, PM, Krebs, MO, Scanferla, E, Kishimoto, T, Rabbani, G, Skonieczna-Żydecka, K, Brambilla, P, Favaro, A, Takamiya, A, Zoccante, L, Colizzi, M, Bourgin, J, Kamiński, K, Moghadasin, M, Seedat, S, Matthews, E, Wells, J, Vassilopoulou, E, Gadelha, A, Su, KP, Kwon, JS, Kim, M, Lee, TY, Papsuev, O, Manková, D, Boscutti, A, Gerunda, C, Saccon, D, Righi, E, Monaco, F, Croatto, G, Cereda, G, Demurtas, J, Brondino, N, Veronese, N, Enrico, P, Politi, P, Ciappolino, V, Pfennig, A, Bechdolf, A, Meyer-Lindenberg, A, Kahl, KG, Domschke, K, Bauer, M, Koutsouleris, N, Winter, S, Borgwardt, S, Bitter, I, Balazs, J, Czobor, P, Unoka, Z, Mavridis, D, Tsamakis, K, Bozikas, VP, Tunvirachaisakul, C, Maes, M, Rungnirundorn, T, Supasitthumrong, T, Haque, A, Brunoni, AR, Costardi, CG, Schuch, FB, Polanczyk, G, Luiz, JM, Fonseca, L, Aparicio, LV, Valvassori, SS, Nordentoft, M, Vendsborg, P, Hoffmann, SH, Sehli, J, Sartorius, N, Heuss, S, Guinart, D, Hamilton, J, Kane, J, Rubio, J, Sand, M, Berk, Michael, Solmi, M, Estradé, A, Thompson, T, Agorastos, A, Radua, J, Cortese, S, Dragioti, E, Leisch, F, Vancampfort, D, Thygesen, LC, Aschauer, H, Schloegelhofer, M, Akimova, E, Schneeberger, A, Huber, CG, Hasler, G, Conus, P, Cuénod, KQD, von Känel, R, Arrondo, G, Fusar-Poli, P, Gorwood, P, Llorca, PM, Krebs, MO, Scanferla, E, Kishimoto, T, Rabbani, G, Skonieczna-Żydecka, K, Brambilla, P, Favaro, A, Takamiya, A, Zoccante, L, Colizzi, M, Bourgin, J, Kamiński, K, Moghadasin, M, Seedat, S, Matthews, E, Wells, J, Vassilopoulou, E, Gadelha, A, Su, KP, Kwon, JS, Kim, M, Lee, TY, Papsuev, O, Manková, D, Boscutti, A, Gerunda, C, Saccon, D, Righi, E, Monaco, F, Croatto, G, Cereda, G, Demurtas, J, Brondino, N, Veronese, N, Enrico, P, Politi, P, Ciappolino, V, Pfennig, A, Bechdolf, A, Meyer-Lindenberg, A, Kahl, KG, Domschke, K, Bauer, M, Koutsouleris, N, Winter, S, Borgwardt, S, Bitter, I, Balazs, J, Czobor, P, Unoka, Z, Mavridis, D, Tsamakis, K, Bozikas, VP, Tunvirachaisakul, C, Maes, M, Rungnirundorn, T, Supasitthumrong, T, Haque, A, Brunoni, AR, Costardi, CG, Schuch, FB, Polanczyk, G, Luiz, JM, Fonseca, L, Aparicio, LV, Valvassori, SS, Nordentoft, M, Vendsborg, P, Hoffmann, SH, Sehli, J, Sartorius, N, Heuss, S, Guinart, D, Hamilton, J, Kane, J, Rubio, J, Sand, M, and Berk, Michael
Published: 2022

7. Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020

Author: Bryazka, D, Reitsma, MB, Griswold, MG, Abate, KH, Abbafati, C, Kangevari, MA, Kangevari, ZA, Abdoli, A, Abdollahi, M, Abdullah, AYM, Abhilash, ES, Abu Gharbieh, E, Acuna, JM, Addolorato, G, Adebayo, OM, Adekanmbi, V, Adhikari, K, Adhikari, S, Adnani, QES, Afzal, S, Agegnehu, WY, Aggarwal, M, Ahinkorah, BO, Ahmad, AR, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed, H, Rashid, TA, Akunna, CJ, Al Hamad, H, Alam, MZ, Alem, DT, Alene, KA, Alimohamadi, Y, Alizadeh, A, Allel, K, Alonso, J, Alvand, S, Guzman, NA, Amare, F, Ameyaw, EK, Amiri, S, Ancuceanu, R, Anderson, JA, Andrei, CL, Andrei, T, Arabloo, J, Arshad, M, Artamonov, AA, Aryan, Z, Asaad, M, Asemahagn, MA, Burt, TA, Athari, SS, Atnafu, DD, Atorkey, P, Atreya, A, Ausloos, F, Ausloos, M, Ayano, G, Ayanore, MA, Ayinde, OO, Mateos, JLA, Azadnajafabad, S, Azanaw, MM, Khyavy, MA, Jafari, AA, Azzam, AY, Badiye, AD, Bagheri, N, Bagherieh, S, Bairwa, M, Bakkannavar, SM, Bakshi, RK, Balchut, AH, Null, T, Barra, F, Barrow, A, Baskaran, P, Belo, L, Bennett, DA, Bensenor, IM, Bhagavathula, AS, Bhala, N, Bhalla, A, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bintoro, BS, Blokhina, EAE, Bodicha, BBA, Boloor, A, Bosetti, C, Braithwaite, D, Brenner, H, Briko, NI, Brunoni, AR, Butt, ZA, Cao, C, Cao, Y, Cardenas, R, Carvalho, AF, Carvalho, M, Maia, JMC, Castelpietra, G, de Araujo, LFSC, Cattaruzza, MS, Chakraborty, PA, Charan, J, Chattu, VK, Chaurasia, A, Cherbuin, N, Dinh, TC, Chudal, N, Chung, SC, Churko, C, Ciobanu, LG, Cirillo, M, Claro, RM, Costanzo, S, Cowden, RG, Criqui, MH, Martins, NC, Culbreth, GT, Dachew, BA, Dadras, O, Dai, X, Damiani, G, Dandona, L, Dandona, R, Daniel, BD, Danielewicz, A, Gela, JD, Davletov, K, de Araujo, JAP, de Sa Junior, AR, Debela, SA, Dehghan, A, Demetriades, AK, Molla, MD, Desai, R, Desta, AA, da Silva, DD, Diaz, D, Digesa, LE, Diress, M, Dodangeh, M, Dongarwar, D, Dorostkar, F, Dsouza, HL, Duko, B, Duncan, BB, Edvardsson, K, Ekholuenetale, M, Elgar, FJ, Elhadi, M, Elmonem, MA, Endries, AY, Eskandarieh, S, Etemadimanesh, A, Fagbamigbe, AF, Fakhradiyev, IR, Farahmand, F, Sa Farinha, CSE, Faro, A, Farzadfar, F, Fatehizadeh, A, Fauk, NK, Feigin, VL, Feldman, R, Feng, X, Fentaw, Z, Ferrero, S, Desideri, LF, Filip, I, Fischer, F, Francis, JM, Franklin, RC, Gaal, PA, Gad, MM, Gallus, S, Galvano, F, Ganesan, B, Garg, T, Gebrehiwot, MGD, Gebremeskel, TG, Gebremichael, MA, Gemechu, TR, Getacher, L, Getachew, ME, Obsa, AG, Getie, A, Ghaderi, A, Ghafourifard, M, Ghajar, A, Ghamari, SH, Ghandour, LA, Nour, MG, Ghashghaee, A, Ghozy, S, Glozah, FN, Glushkova, EV, Godos, J, Goel, A, Goharinezhad, S, Golechha, M, Goleij, P, Golitaleb, M, Greaves, F, Grivna, M, Grosso, G, Gudayu, TW, Gupta, B, Gupta, R, Gupta, S, Gupta, VB, Gupta, VK, Nejad, NH, Mirzaian, AH, Hall, BJ, Halwani, R, Handiso, TB, Hankey, GJ, Hariri, S, Haro, JM, Hasaballah, A, Moghaddam, HH, Hay, S, Hayat, K, Heidari, G, Heidari, M, Hendrie, D, Herteliu, C, Heyi, DZ, Hezam, K, Hlongwa, MM, Holla, R, Hossain, MM, Hossain, S, Hosseini, SK, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hu, G, Huang, J, Hussain, S, Ibitoye, SE, Ilic, IM, Ilic, MD, Immurana, M, Irham, LM, Islam, MM, Islam, RM, Islam, SMS, Iso, H, Itumalla, R, Iwagami, M, Jabbarinejad, R, Jacob, L, Jakovljevic, M, Jamalpoor, Z, Jamshidi, E, Jayapal, SK, Jayarajah, UU, Jayawardena, R, Jebai, R, Jeddi, SA, Jema, AT, Jha, RP, Jindal, HA, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jozwiak, JJ, Jurisson, M, Kabir, A, Kabthymer, RH, Kamble, BD, Kandel, H, Kanno, GG, Kapoor, N, Karaye, IM, Karimi, SE, Kassa, BG, Kaur, RJ, Kayode, GA, Keykhaei, M, Khajuria, H, Khalilov, R, Khan, IA, Ab Khan, M, Kim, H, Kim, J, Kim, MS, Kimokoti, RW, Kivimaki, M, Klymchuk, V, Knudsen, AKS, Kolahi, AA, Korshunov, VA, Koyanagi, A, Krishan, K, Krishnamoorthy, Y, Kumar, GA, Kumar, N, Ben, L, Lallukka, T, Lasrado, S, Lau, J, Lee, SW, Lee, WC, Lee, YH, Lim, LL, Lim, SS, Lobo, SW, Lopukhov, PD, Lorkowski, S, Lozano, R, Lucchetti, G, Madadizadeh, F, Mahjoub, S, Mahmoodpoor, A, Mahumud, RA, Makki, A, Malekpour, MR, Manjunatha, N, Mansouri, B, Mansournia, MA, Raga, JM, Villa, FAM, Matzopoulos, R, Maulik, PK, Mayeli, M, McGrath, JJ, Meena, JK, Nasab, EM, Menezes, RG, Mensink, GBM, Mentis, AFA, Meretoja, A, Merga, BT, Mestrovic, T, Jonasson, JM, Miazgowski, B, de Sa, ACMGN, Miller, TR, Mini, G, Mirica, A, Mirijello, A, Mirmoeeni, S, Mirrakhimov, EM, Misra, S, Moazen, B, Mobarakabadi, M, Moccia, M, Mohammad, Y, Mohammadi, E, Hafshejani, AM, Mohammed, TA, Moka, N, Mokdad, AH, Momtazmanesh, S, Moradi, Y, Mostafavi, E, Mubarik, S, Mullany, EC, Mulugeta, BT, Zamora, EM, Murray, CJL, Mwita, JC, Naghavi, M, Naimzada, MD, Nangia, V, Nayak, BP, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nepal, S, Neupane, SPP, Kandel, SN, Nigatu, YT, Nowroozi, A, Nuruzzaman, KM, Nzoputam, CI, Obamiro, KO, Ogbo, FA, Oguntade, AS, Aliabad, HO, Olakunde, BO, Oliveira, GMM, Bali, AO, Omer, E, Altamirano, DVO, Otoiu, A, Otstavnov, SS, Oumer, B, Mahesh, PA, Monedero, AP, Palladino, R, Pana, A, Jonas, SP, Pandey, A, Pardhan, S, Parekh, T, Park, EK, Parry, CDH, Kan, FP, Patel, J, Pati, S, Patton, GC, Paudel, U, Pawar, S, Peden, AE, Petcu, IR, Phillips, MR, Pinheiro, M, Plotnikov, E, Pradhan, PMS, Prashant, A, Quan, J, Radfar, A, Rafiei, A, Raghav, PR, Movaghar, VR, Rahman, A, Rahman, MM, Rahman, M, Rahmani, AM, Rahmani, S, Ranabhat, CL, Ranasinghe, P, Rao, CR, Rasali, DP, Rashidi, MM, Ratan, ZA, Rawaf, DL, Rawaf, S, Rawal, L, Renzaho, AMN, Rezaei, N, Rezaei, S, Rezaeian, M, Riahi, SM, Rodriguez, ER, Roth, GA, Rwegerera, GM, Saddik, B, Sadeghi, E, Sadeghian, R, Saeed, U, Saeedi, F, Sagar, R, Sahebkar, A, Sahoo, H, Sahraian, MA, Rahman, KSU, Salahi, S, Salimzadeh, H, Samy, AM, Sanmarchi, F, Milicevic, MMS, Sarikhani, Y, Sathian, B, Saya, GK, Sayyah, M, Schmidt, MI, Schutte, AE, Schwarzinger, M, Schwebel, DC, Seidu, AA, Kumar, NS, SeyedAlinaghi, S, Seylani, A, Sha, F, Shahin, S, Sanavi, FS, Shahrokhi, S, Shaikh, MA, Shaker, E, Shakhmardanov, MZ, Beyranvand, MS, Sheikhbahaei, S, Sheikhi, RA, Shetty, A, Shetty, JK, Shiferaw, DS, Shigematsu, M, Shiri, R, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Shobeiri, P, Shrestha, R, Sidemo, NB, Sigfusdottir, ID, Silva, DAS, da Silva, NT, Singh, JA, Singh, S, Skryabin, VY, Skryabina, AA, Sleet, DA, Solmi, M, Solomon, Y, Song, S, Song, Y, Sorensen, RJD, Soshnikov, S, Soyiri, IN, Stein, DJ, Subba, SH, Szocska, M, Seisdedos, RT, Tabuchi, T, Taheri, M, Tan, KK, Tareke, M, Tarkang, EE, Temesgen, G, Temesgen, WA, Temsah, MH, Thankappan, KR, Thapar, R, Thomas, NK, Tiruneh, C, Todorovic, J, Torrado, M, Touvier, M, Palone, MRT, Mai, TNT, Llimos, ST, Tripathy, JP, Vakilian, A, Valizadeh, R, Varmaghani, M, Varthya, SB, Vasankari, TJ, Vos, T, Wagaye, B, Waheed, Y, Walde, MT, Wang, C, Wang, Y, Wang, YP, Westerman, R, Wickramasinghe, ND, Wubetu, AD, Xu, S, Yamagishi, K, Yang, L, Yesera, GEE, Yigit, A, Yigit, V, Yimaw, AE, Yon, DK, Yonemoto, N, Yu, C, Zadey, S, Zahir, M, Zare, I, Zastrozhin, MS, Zastrozhina, A, Zhang, ZJ, Zhong, C, Zmaili, M, Zuniga, YMH, Gakidou, E, Madureira-Carvalho, AM, Bryazka, D, Reitsma, MB, Griswold, MG, Abate, KH, Abbafati, C, Kangevari, MA, Kangevari, ZA, Abdoli, A, Abdollahi, M, Abdullah, AYM, Abhilash, ES, Abu Gharbieh, E, Acuna, JM, Addolorato, G, Adebayo, OM, Adekanmbi, V, Adhikari, K, Adhikari, S, Adnani, QES, Afzal, S, Agegnehu, WY, Aggarwal, M, Ahinkorah, BO, Ahmad, AR, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed, H, Rashid, TA, Akunna, CJ, Al Hamad, H, Alam, MZ, Alem, DT, Alene, KA, Alimohamadi, Y, Alizadeh, A, Allel, K, Alonso, J, Alvand, S, Guzman, NA, Amare, F, Ameyaw, EK, Amiri, S, Ancuceanu, R, Anderson, JA, Andrei, CL, Andrei, T, Arabloo, J, Arshad, M, Artamonov, AA, Aryan, Z, Asaad, M, Asemahagn, MA, Burt, TA, Athari, SS, Atnafu, DD, Atorkey, P, Atreya, A, Ausloos, F, Ausloos, M, Ayano, G, Ayanore, MA, Ayinde, OO, Mateos, JLA, Azadnajafabad, S, Azanaw, MM, Khyavy, MA, Jafari, AA, Azzam, AY, Badiye, AD, Bagheri, N, Bagherieh, S, Bairwa, M, Bakkannavar, SM, Bakshi, RK, Balchut, AH, Null, T, Barra, F, Barrow, A, Baskaran, P, Belo, L, Bennett, DA, Bensenor, IM, Bhagavathula, AS, Bhala, N, Bhalla, A, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bintoro, BS, Blokhina, EAE, Bodicha, BBA, Boloor, A, Bosetti, C, Braithwaite, D, Brenner, H, Briko, NI, Brunoni, AR, Butt, ZA, Cao, C, Cao, Y, Cardenas, R, Carvalho, AF, Carvalho, M, Maia, JMC, Castelpietra, G, de Araujo, LFSC, Cattaruzza, MS, Chakraborty, PA, Charan, J, Chattu, VK, Chaurasia, A, Cherbuin, N, Dinh, TC, Chudal, N, Chung, SC, Churko, C, Ciobanu, LG, Cirillo, M, Claro, RM, Costanzo, S, Cowden, RG, Criqui, MH, Martins, NC, Culbreth, GT, Dachew, BA, Dadras, O, Dai, X, Damiani, G, Dandona, L, Dandona, R, Daniel, BD, Danielewicz, A, Gela, JD, Davletov, K, de Araujo, JAP, de Sa Junior, AR, Debela, SA, Dehghan, A, Demetriades, AK, Molla, MD, Desai, R, Desta, AA, da Silva, DD, Diaz, D, Digesa, LE, Diress, M, Dodangeh, M, Dongarwar, D, Dorostkar, F, Dsouza, HL, Duko, B, Duncan, BB, Edvardsson, K, Ekholuenetale, M, Elgar, FJ, Elhadi, M, Elmonem, MA, Endries, AY, Eskandarieh, S, Etemadimanesh, A, Fagbamigbe, AF, Fakhradiyev, IR, Farahmand, F, Sa Farinha, CSE, Faro, A, Farzadfar, F, Fatehizadeh, A, Fauk, NK, Feigin, VL, Feldman, R, Feng, X, Fentaw, Z, Ferrero, S, Desideri, LF, Filip, I, Fischer, F, Francis, JM, Franklin, RC, Gaal, PA, Gad, MM, Gallus, S, Galvano, F, Ganesan, B, Garg, T, Gebrehiwot, MGD, Gebremeskel, TG, Gebremichael, MA, Gemechu, TR, Getacher, L, Getachew, ME, Obsa, AG, Getie, A, Ghaderi, A, Ghafourifard, M, Ghajar, A, Ghamari, SH, Ghandour, LA, Nour, MG, Ghashghaee, A, Ghozy, S, Glozah, FN, Glushkova, EV, Godos, J, Goel, A, Goharinezhad, S, Golechha, M, Goleij, P, Golitaleb, M, Greaves, F, Grivna, M, Grosso, G, Gudayu, TW, Gupta, B, Gupta, R, Gupta, S, Gupta, VB, Gupta, VK, Nejad, NH, Mirzaian, AH, Hall, BJ, Halwani, R, Handiso, TB, Hankey, GJ, Hariri, S, Haro, JM, Hasaballah, A, Moghaddam, HH, Hay, S, Hayat, K, Heidari, G, Heidari, M, Hendrie, D, Herteliu, C, Heyi, DZ, Hezam, K, Hlongwa, MM, Holla, R, Hossain, MM, Hossain, S, Hosseini, SK, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hu, G, Huang, J, Hussain, S, Ibitoye, SE, Ilic, IM, Ilic, MD, Immurana, M, Irham, LM, Islam, MM, Islam, RM, Islam, SMS, Iso, H, Itumalla, R, Iwagami, M, Jabbarinejad, R, Jacob, L, Jakovljevic, M, Jamalpoor, Z, Jamshidi, E, Jayapal, SK, Jayarajah, UU, Jayawardena, R, Jebai, R, Jeddi, SA, Jema, AT, Jha, RP, Jindal, HA, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jozwiak, JJ, Jurisson, M, Kabir, A, Kabthymer, RH, Kamble, BD, Kandel, H, Kanno, GG, Kapoor, N, Karaye, IM, Karimi, SE, Kassa, BG, Kaur, RJ, Kayode, GA, Keykhaei, M, Khajuria, H, Khalilov, R, Khan, IA, Ab Khan, M, Kim, H, Kim, J, Kim, MS, Kimokoti, RW, Kivimaki, M, Klymchuk, V, Knudsen, AKS, Kolahi, AA, Korshunov, VA, Koyanagi, A, Krishan, K, Krishnamoorthy, Y, Kumar, GA, Kumar, N, Ben, L, Lallukka, T, Lasrado, S, Lau, J, Lee, SW, Lee, WC, Lee, YH, Lim, 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AE, Yon, DK, Yonemoto, N, Yu, C, Zadey, S, Zahir, M, Zare, I, Zastrozhin, MS, Zastrozhina, A, Zhang, ZJ, Zhong, C, Zmaili, M, Zuniga, YMH, Gakidou, E, and Madureira-Carvalho, AM
Abstract: BACKGROUND: The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. METHODS: For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15-95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol. FINDINGS: The burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15-39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0-0) and 0·603 (0·400-1·00) standard drinks per day, and the NDE varied between 0·002 (0-0) and 1·75 (0·698-4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0-0·403) to 1·87 (0·500-3·30) standard drinks per day and an NDE that ranged between 0·193 (0-0·900) and 6·94 (3·40-8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3-65·4) were aged 15-39 years and 76·9% (73·0-81·3) were male. INTERPRETATION: There is strong evidence to support recommendations on alcohol consumption varying by age and location. Stronger interventions, particularly those tailored towards younger individuals, are needed to reduce the substantial global health loss attribu
Published: 2022

8. Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019

Author: Paulson, KR, Kamath, AM, Alam, T, Bienhoff, K, Abady, GG, Abbas, J, Abbasi-Kangevari, M, Abbastabar, H, Abd-Allah, F, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abolhassani, H, Abreu, LG, Abu-Gharbieh, E, Abu-Rmeileh, NME, Abushouk, A, Adamu, AL, Adebayo, OM, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Adeyinka, DA, Adsuar, JC, Afshari, K, Aghaali, M, Agudelo-Botero, M, Ahinkorah, BO, Ahmad, T, Ahmadi, K, Ahmed, MB, Aji, B, Akalu, Y, Akinyemi, OO, Aklilu, A, Al-Aly, Z, Alam, K, Alanezi, FM, Alanzi, TM, Alcalde-Rabanal, JE, Al-Eyadhy, A, Ali, T, Alicandro, G, Alif, SM, Alipour, V, Alizade, H, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Al-Mekhlafi, HM, Alonso, J, Al-Raddadi, RM, Altirkawi, KA, Alumran, AK, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Ameyaw, EK, Amini, S, Amini-Rarani, M, Amit, AML, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, CL, Ansari, F, Ansari-Moghaddam, A, Antonio, CAT, Antriyandarti, E, Anvari, D, Anwer, R, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aripov, T, Arnlov, 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Almasi-Hashiani, A, Almasri, NA, Al-Mekhlafi, HM, Alonso, J, Al-Raddadi, RM, Altirkawi, KA, Alumran, AK, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Ameyaw, EK, Amini, S, Amini-Rarani, M, Amit, AML, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, CL, Ansari, F, Ansari-Moghaddam, A, Antonio, CAT, Antriyandarti, E, Anvari, D, Anwer, R, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aripov, T, Arnlov, J, Artanti, KD, Arzani, A, Asaad, M, Asadi-Aliabadi, M, Asadi-Pooya, AA, Jafarabadi, MA, Athari, SS, Athari, SM, Atnafu, DD, Atreya, A, Atteraya, MS, Ausloos, M, Awan, AT, Quintanilla, BPA, Ayano, G, Ayanore, MA, Aynalem, YA, Azari, S, Azarian, G, Azene, ZN, Darshan, BB, Babaee, E, Badiye, AD, Baig, AA, Banach, M, Banik, PC, Barker-Collo, SL, Barqawi, HJ, Bassat, Q, Basu, S, Baune, BT, Bayati, M, Bedi, N, Beghi, E, Beghi, M, Bell, ML, Bendak, S, Bennett, DA, Bensenor, IM, Berhe, K, Berman, AE, Bezabih, YM, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Bikbov, B, Biondi, A, Birihane, BM, Biswas, RK, Bohlouli, S, Bragazzi, NL, Breusov, A, Brunoni, AR, Burkart, K, Nagaraja, SB, Busse, R, Butt, ZA, dos Santos, FLC, Cahuana-Hurtado, L, Camargos, P, Camera, LA, Cardenas, R, Carreras, G, Carrero, JJ, Carvalho, F, Castaldelli-Maia, JM, Castaneda-Orjuela, CA, Castelpietra, G, Cerin, E, Chang, J-C, Chanie, WF, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Chaturvedi, S, Chen, S, Cho, DY, Choi, J-YJ, Chu, D-T, Ciobanu, LG, Cirillo, M, Conde, J, Costa, VM, Couto, RAS, Dachew, BA, Dahlawi, SMA, Dai, H, Dai, X, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darmstadt, GL, Das, JK, Davila-Cervantes, CA, Davis, AC, Davletov, K, De la Hoz, FP, De Leo, D, Deeba, F, Denova-Gutierrez, E, Dervenis, N, Desalew, A, Deuba, K, Dey, S, Dharmaratne, SD, Dhingra, S, Dhungana, GP, da Silva, DD, Diaz, D, Dorostkar, F, Doshmangir, L, Dubljanin, E, Duraes, AR, Eagan, AW, Edinur, HA, Efendi, F, Eftekharzadeh, S, El Sayed, I, El Tantawi, M, Elbarazi, I, Elgendy, IY, El-Jaafary, S, Emami, A, Enany, S, Eyawo, O, Ezzikouri, S, Faris, PS, Farzadfar, F, Fattahi, N, Fauk, NK, Fazlzadeh, M, Feigin, VL, Ferede, TY, Fereshtehnejad, S-M, Fernandes, E, Ferrara, P, Filip, I, Fischer, F, Fisher, JL, Foigt, NA, Folayan, MO, Foroutan, M, Franklin, RC, Freitas, M, Friedman, SD, Fukumoto, T, Gad, MM, Gaidhane, AM, Gaidhane, S, Gaihre, S, Gallus, S, Garcia-Basteiro, AL, Garcia-Gordillo, M, Gardner, WM, Fonseca, MG, Gebremedhin, KB, Getacher, L, Ghashghaee, A, Gholamian, A, Gilani, SA, Gill, TK, Giussani, G, Gnedovskaya, E, Godinho, MA, Goel, A, Golechha, M, Gona, PN, Gopalani, SV, Goudarzi, H, Grivna, M, Gugnani, HC, Guido, D, Guimaraes, RA, Das Gupta, R, Gupta, R, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Hamidi, S, Hanif, A, Hankey, GJ, Hargono, A, Hasaballah, A, Hasan, MM, Hasan, SS, Hassan, A, Hassanipour, S, Hassankhani, H, Havmoeller, RJ, Hayat, K, Heidari-Soureshjani, R, Henry, NJ, Herteliu, C, Hole, MK, Holla, R, Hossain, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Humayun, A, Hwang, B-F, Iavicoli, I, Ibitoye, SE, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inamdar, S, Inbaraj, LR, Iqbal, K, Iqbal, U, Islam, MM, Shariful Islam, Sheikh, Iso, H, Iwagami, M, Iwu, CCD, Jaafari, J, Jacobsen, KH, Jagnoor, J, Jain, V, Janodia, MD, Javaheri, T, Javanmardi, F, Jayaram, S, Jayatilleke, AU, Jenabi, E, Jha, RP, Ji, JS, John, O, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jozwiak, JJ, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kamyari, N, Kanchan, T, Kapoor, N, Matin, BK, Karch, A, Karimi, SE, Kassahun, G, Kayode, GA, Karyani, AK, Kemmer, L, Khalid, N, Khalilov, R, Khammarnia, M, Khan, EA, Khan, G, Khan, M, Khan, MN, Khang, Y-H, Khatab, K, Khater, AM, Khater, MM, Khayamzadeh, M, Khosravi, A, Kim, D, Kim, Y-E, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Kissoon, N, Kopec, JA, Kosen, S, Koul, PA, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Defo, BK, Bicer, BK, Kulkarni, V, Kumar, GA, Kumar, M, Kumar, N, Kurmi, OP, Kusuma, D, La Vecchia, C, Lacey, B, Lalloo, R, Lami, FH, Landires, I, Larsson, AO, Lasrado, S, Lassi, ZS, Lauriola, P, Lee, PH, Lee, SWH, Lee, YH, Leigh, J, Leonardi, M, Lewycka, S, Li, B, Li, S, Liang, J, Lim, L-L, Limenih, MA, Lin, R-T, Liu, X, Lodha, R, Lopez, AD, Lozano, R, Lugo, A, Lunevicius, R, Mackay, MT, Kunjathur, SM, Magnani, FG, Prasad, DRM, Maheri, M, Mahmoudi, M, Majeed, A, Maled, V, Maleki, A, Maleki, S, Malekzadeh, R, Malik, AA, Malta, DC, Mamun, AA, Mansouri, B, Mansournia, MA, Martinez, G, Martini, S, Martins-Melo, FR, Masoumi, SZ, Maulik, PK, McAlinden, C, McGrath, JJ, Medina-Solis, CE, Nasab, EM, Mejia-Rodriguez, F, Memish, ZA, Mendoza, W, Menezes, RG, Mengesha, EW, Mensah, GA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mini, GK, Miri, M, Mirica, A, Mirrakhimov, EM, Mirzaei, H, Mirzaei, M, Moazen, B, Moghadaszadeh, M, Mohajer, B, Mohamad, O, Mohammad, Y, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Molokhia, M, Monasta, L, Mondello, S, Moni, MA, Moore, CE, Moradi, G, Moradi, M, Moradzadeh, R, Moraga, P, Morawska, L, Morrison, SD, Mosser, JF, Khaneghah, AM, Mustafa, G, Naderi, M, Nagarajan, AJ, Nagaraju, SP, Naghavi, M, Naghshtabrizi, B, Naimzada, MD, Nangia, V, Swamy, SN, Nascimento, BR, Naveed, M, Nazari, J, Ndejjo, R, Negoi, I, Negoi, RI, Nena, E, Nepal, S, Netsere, HB, Nguefack-Tsague, G, Ngunjiri, JW, Chi, TYN, Cuong, TN, Huong, LTN, Nigatu, YT, Nigussie, SN, Nixon, MR, Nnaji, CA, Nomura, S, Noor, NM, Noubiap, JJ, Nunez-Samudio, V, Nwatah, VE, Oancea, B, Odukoya, OO, Ogbo, FA, Olusanya, BO, Olusanya, JO, Bali, AO, Onwujekwe, OE, Ortiz, A, Otoiu, A, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pakhale, S, Pakshir, K, Pal, PK, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Pardo-Montano, AM, Park, E-K, Patel, SK, Patton, GC, Pawar, S, Toroudi, HP, Peden, AE, Pepito, VCF, Peprah, EK, Pereira, J, Perez-Gomez, J, Perico, N, Pesudovs, K, Pilgrim, T, Pinheiro, M, Piradov, MA, Pirsaheb, M, Platts-Mills, JA, Pokhrel, KN, Postma, MJ, Pourjafar, H, Prada, S, Prakash, S, Pupillo, E, Syed, ZQ, Rabiee, N, Radfar, A, Rafiee, A, Rafiei, A, Raggi, A, Rahimzadeh, S, Rahman, MHU, Rahmani, AM, Ramezanzadeh, K, Rana, J, Ranabhat, CL, Rao, SJ, Rasella, D, Rastogi, P, Rathi, P, Rawaf, DL, Rawaf, S, Rawasia, WF, Rawassizadeh, R, Jr, RCR, Remuzzi, G, Renzaho, AMN, Reshmi, B, Resnikoff, S, Rezaei, N, Rezapour, A, Riahi, SM, Ribeiro, D, Rickard, J, Roever, L, Ronfani, L, Rothenbacher, D, Rubagotti, E, Rumisha, SF, Ryan, PM, Saddik, B, Sadeghi, E, Moghaddam, SS, Sagar, R, Sahebkar, A, Salahshoor, MR, Salehi, S, Salem, MR, Salimzadeh, H, Salomon, JA, Samodra, YL, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Saraswathy, SYI, Sarker, AR, Sarrafzadegan, N, Sarveazad, A, Sathian, B, Sathish, T, Sattin, D, Saxena, S, Saya, GK, Saylan, M, Schiavolin, S, Schlaich, MP, Schwebel, DC, Schwendicke, F, Senthilkumaran, S, Sepanlou, SG, Servan-Mori, E, Sha, F, Shafaat, O, Shahabi, S, Shahbaz, M, Shaheen, AA, Shahid, I, Shaikh, MA, Shakiba, S, Shalash, AS, Shams-Beyranvand, M, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shiferaw, WS, Shigematsu, M, Shin, JI, Shiri, R, Shiue, I, Shuval, K, Siddiqi, TJ, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Silva, JP, Silverberg, JIS, Simonetti, B, Singh, BB, Singh, JA, Singhal, D, Sinha, DN, Skiadaresi, E, Skryabin, VY, Skryabina, AA, Sleet, DA, Sobaih, BH, Sobhiyeh, MR, Soltani, S, Soriano, JB, Spurlock, EE, Sreeramareddy, CT, Steiropoulos, P, Stokes, Mark, Stortecky, S, Sufiyan, MB, Abdulkader, RS, Sulo, G, Swope, CB, Sykes, BL, Szeto, MD, Szocska, M, Tabares-Seisdedos, R, Tadesse, EG, Taherkhani, A, Tamiru, AT, Tareque, MI, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tessema, GA, Tessema, ZT, Thankappan, KR, Thapar, R, Tolani, MA, Tovani-Palone, MR, Traini, E, Bach, XT, Tripathy, JP, Tsapparellas, G, Tsatsakis, A, Car, LT, Uddin, Riaz, Ullah, A, Umeokonkwo, CD, Unim, B, Unnikrishnan, B, Upadhyay, E, Usman, MS, Vacante, M, Vaezi, M, Tahbaz, SV, Valdez, PR, Vasankari, TJ, Venketasubramanian, N, Verma, M, Violante, FS, Vlassov, V, Vo, B, Giang, TV, Wado, YD, Waheed, Y, Wamai, RG, Wang, Y, Wang, Y-P, Ward, P, Werdecker, A, Westerman, R, Wickramasinghe, ND, Wilner, LB, Wiysonge, CS, Wu, A-M, Wu, C, Xie, Y, Jabbari, SHY, Yamagishi, K, Yandrapalli, S, Yaya, S, Yazdi-Feyzabadi, V, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yousefi, Z, Yousefinezhadi, T, Yu, C, Yusuf, SS, Zaidi, SS, Bin Zaman, S, Zamani, M, Zamanian, M, Zastrozhin, MS, Zastrozhina, A, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Ziapour, A, Hay, S, Murray, CJL, Wang, H, and Kassebaum, NJ
Published: 2021

9. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019

Author: Reitsma, MB, Kendrick, PJ, Ababneh, E, Abbafati, C, Abbasi-Kangevari, M, Abdoli, A, Abedi, A, Abhilash, ES, Abila, DB, Aboyans, V, Abu-Rmeileh, NME, Adebayo, OM, Advani, SM, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmadi, K, Ahmed, H, Aji, B, Akunna, CJ, Al-Aly, Z, Alanzi, TM, Alhabib, KF, Ali, L, Alif, SM, Alipour, V, Aljunid, SM, Alla, F, Allebeck, P, Alvis-Guzman, N, Amin, TT, Amini, S, Amu, H, Amul, GGH, Ancuceanu, R, Anderson, JA, Ansari-Moghaddam, A, Antonio, CAT, Antony, B, Anvari, D, Arabloo, J, Arian, ND, Arora, M, Asaad, M, Ausloos, M, Awan, AT, Ayano, G, Aynalem, GL, Azari, S, Darshan, BB, Badiye, AD, Baig, AA, Bakhshaei, MH, Banach, M, Banik, PC, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Basu, S, Bayati, M, Bazargan-Hejazi, S, Behzadifar, M, Bekuma, TT, Bennett, DA, Bensenor, IM, Berfield, KSS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bibi, S, Bijani, A, Bintoro, BS, Biondi, A, Birara, S, Braithwaite, D, Brenner, H, Brunoni, AR, Burkart, K, Butt, ZA, Caetano dos Santos, FL, Alberto Camera, L, Car, J, Cardenas, R, Carreras, G, Carrero, JJ, Castaldelli-Maia, JM, Cattaruzza, MSS, Chang, J-C, Chen, S, Chu, D-T, Chung, S-C, Cirillo, M, Costa, VM, Couto, RAS, Dadras, O, Dai, X, Damasceno, AAM, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Gela, JD, Davletov, K, Molla, MD, Dessie, GA, Desta, AA, Dharmaratne, SD, Dianatinasab, M, Diaz, D, Hoa, TD, Douiri, A, Duncan, BB, Duraes, AR, Eagan, AW, Kalan, ME, Edvardsson, K, Elbarazi, I, El Tantawi, M, Esmaeilnejad, S, Fadhil, I, Faraon, EJA, Farinha, CSES, Farwati, M, Farzadfar, F, Fazlzadeh, M, Feigin, VL, Feldman, R, Prendes, CF, Ferrara, P, Filip, I, Filippidis, F, Fischer, F, Flor, LS, Foigt, NA, Folayan, MO, Foroutan, M, Gad, MM, Gaidhane, AM, Gallus, S, Geberemariyam, BS, Ghafourifard, M, Ghajar, A, Ghashghaee, A, Giampaoli, S, Gill, PS, Glozah, FN, Gnedovskaya, EV, Golechha, M, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Greaves, F, Guha, A, Guo, Y, Gupta, B, Das Gupta, R, Gupta, R, Gupta, T, Gupta, V, Hafezi-Nejad, N, Haider, MR, Hamadeh, RR, Hankey, GJ, Hargono, A, Hartono, RK, Hassankhani, H, Hay, SI, Heidari, G, Herteliu, C, Hezam, K, Hird, TR, Hole, MK, Holla, R, Hosseinzadeh, M, Hostiuc, S, Househ, M, Hsiao, T, Huang, J, Iannucci, VC, Ibitoye, SE, Idrisov, B, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Irvani, SSN, Islam, JY, Islam, RM, Shariful Islam, Sheikh, Islami, F, Iso, H, Itumalla, R, Iwagami, M, Jaafari, J, Jain, V, Jakovljevic, M, Jang, S-I, Janjani, H, Jayaram, S, Jeemon, P, Jha, RP, Jonas, JB, Joo, T, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kanchan, T, Kandel, H, Kapoor, N, Karimi, SE, Katikireddi, SV, Kebede, HK, Kelkay, B, Kennedy, RD, Khoja, AT, Khubchandani, J, Kim, GR, Kim, Y-E, Kimokoti, RW, Kivimaki, M, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Lacey, B, Lam, JO, Landires, I, Lasrado, S, Lauriola, P, Lee, DW, Lee, YH, Leung, J, Li, S, Lin, H, Linn, S, Liu, W, Lopez, AD, Lopukhov, PD, Lorkowski, S, Lugo, A, Majeed, A, Maleki, A, Malekzadeh, R, Malta, DC, Mamun, AA, Manjunatha, N, Mansouri, B, Mansournia, MA, Martinez-Raga, J, Martini, S, Mathur, MR, Medina-Solis, CE, Mehata, S, Mendoza, W, Menezes, RG, Meretoja, A, Meretoja, TJ, Miazgowski, B, Michalek, IM, Miller, TR, Mirrakhimov, EM, Mirzaei, H, Mirzaei-Alavijeh, M, Misra, S, Moghadaszadeh, M, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Monasta, L, Moni, MA, Moradi, G, Moradi-Lakeh, M, Moradzadeh, R, Morrison, SD, Mossie, TB, Mubarik, S, Mullany, EC, Murray, CJL, Naghavi, M, Naghshtabrizi, B, Nair, S, Nalini, M, Nangia, V, Naqvi, AA, Swamy, SN, Naveed, M, Nayak, S, Nayak, VC, Nazari, J, Nduaguba, SO, Kandel, SN, Cuong, TN, Huong, LTN, Son, HN, Trang, HN, Nixon, MR, Nnaji, CA, Norrving, B, Noubiap, JJ, Nowak, C, Ogbo, FA, Oguntade, AS, Oh, I-H, Olagunju, AT, Oren, E, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Pakhale, MPAS, Pakshir, K, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Parekh, U, Park, E-C, Park, E-K, Kan, FP, Patton, GC, Pawar, S, Pestell, RG, Pinheiro, M, Piradov, MA, Pirouzpanah, S, Pokhrel, KN, Polibin, RV, Prashant, A, Pribadi, DRA, Radfar, A, Rahimi-Movaghar, V, Rahman, A, Rahman, MHU, Rahman, Muhammad, Rahmani, AM, Rajai, N, Ram, P, Ranabhat, CL, Rathi, P, Rawal, L, Renzaho, AMN, Myriam Reynales-Shigematsu, L, Rezapour, A, Riahi, SM, Riaz, MA, Roever, L, Ronfani, L, Roshandel, G, Roy, A, Roy, B, Sacco, S, Saddik, B, Sahebkar, A, Salehi, S, Salimzadeh, H, Samaei, M, Samy, AM, Santos, IS, Santric-Milicevic, MM, Sarrafzadegan, N, Sathian, B, Sawhney, M, Saylan, M, Schaub, MP, Schmidt, MI, Ceola Schneider, IJ, Schutte, AE, Schwendicke, F, Seidu, A-A, Kumar, NS, Sepanlou, SG, Seylani, A, Shafaat, O, Shah, SM, Shaikh, MA, Shalash, AS, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shigematsu, M, Shiri, R, Shishani, K, Shivakumar, KM, Shivalli, S, Shrestha, R, Siabani, S, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Santos Silva, DA, Silva, JP, Singh, A, Singh, JA, Singh, V, Sinha, DN, Sitas, F, Skryabin, VY, Skryabina, AA, Soboka, M, Soriano, JB, Soroush, A, Soshnikov, S, Soyiri, IN, Spurlock, EE, Sreeramareddy, CT, Stein, DJ, Steiropoulos, P, Stortecky, S, Straif, K, Abdulkader, RS, Sulo, G, Sundstrom, J, Tabuchi, T, Tadakamadla, SK, Taddele, BW, Tadesse, EG, Tamiru, AT, Tareke, M, Tareque, MI, Tarigan, IU, Temsah, M-H, Thankappan, KR, Thapar, R, Tichopad, A, Tolani, MA, Topouzis, F, Tovani-Palone, MR, Bach, XT, Tripathy, JP, Tsegaye, GW, Tsilimparis, N, Tymeson, HD, Ullah, A, Ullah, S, Unim, B, Updike, RL, Vacante, M, Valdez, PR, Vardavas, C, Varona Perez, P, Vasankari, TJ, Venketasubramanian, N, Verma, M, Vetrova, MV, Bay, V, Giang, TV, Waheed, Y, Wang, Y, Welding, K, Werdecker, A, Whisnant, JL, Wickramasinghe, ND, Yamagishi, K, Yandrapalli, S, Yatsuya, H, Yazdi-Feyzabadi, V, Yeshaw, Y, Yimmer, MZ, Yonemoto, N, Yu, C, Yunusa, I, Yusefzadeh, H, Moghadam, TZ, Zaman, MS, Zamanian, M, Zandian, H, Zar, HJ, Zastrozhin, MS, Zastrozhina, A, Zavala-Arciniega, L, Zhang, J, Zhang, Z-J, Zhong, C, Zuniga, YMH, Gakidou, E, Reitsma, MB, Kendrick, PJ, Ababneh, E, Abbafati, C, Abbasi-Kangevari, M, Abdoli, A, Abedi, A, Abhilash, ES, Abila, DB, Aboyans, V, Abu-Rmeileh, NME, Adebayo, OM, Advani, SM, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmadi, K, Ahmed, H, Aji, B, Akunna, CJ, Al-Aly, Z, Alanzi, TM, Alhabib, KF, Ali, L, Alif, SM, Alipour, V, Aljunid, SM, Alla, F, Allebeck, P, Alvis-Guzman, N, Amin, TT, Amini, S, Amu, H, Amul, GGH, Ancuceanu, R, Anderson, JA, Ansari-Moghaddam, A, Antonio, CAT, Antony, B, Anvari, D, Arabloo, J, Arian, ND, Arora, M, Asaad, M, Ausloos, M, Awan, AT, Ayano, G, Aynalem, GL, Azari, S, Darshan, BB, Badiye, AD, Baig, AA, Bakhshaei, MH, Banach, M, Banik, PC, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Basu, S, Bayati, M, Bazargan-Hejazi, S, Behzadifar, M, Bekuma, TT, Bennett, DA, Bensenor, IM, Berfield, KSS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bibi, S, Bijani, A, Bintoro, BS, Biondi, A, Birara, S, Braithwaite, D, Brenner, H, Brunoni, AR, Burkart, K, Butt, ZA, Caetano dos Santos, FL, Alberto Camera, L, Car, J, Cardenas, R, Carreras, G, Carrero, JJ, Castaldelli-Maia, JM, Cattaruzza, MSS, Chang, J-C, Chen, S, Chu, D-T, Chung, S-C, Cirillo, M, Costa, VM, Couto, RAS, Dadras, O, Dai, X, Damasceno, AAM, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Gela, JD, Davletov, K, Molla, MD, Dessie, GA, Desta, AA, Dharmaratne, SD, Dianatinasab, M, Diaz, D, Hoa, TD, Douiri, A, Duncan, BB, Duraes, AR, Eagan, AW, Kalan, ME, Edvardsson, K, Elbarazi, I, El Tantawi, M, Esmaeilnejad, S, Fadhil, I, Faraon, EJA, Farinha, CSES, Farwati, M, Farzadfar, F, Fazlzadeh, M, Feigin, VL, Feldman, R, Prendes, CF, Ferrara, P, Filip, I, Filippidis, F, Fischer, F, Flor, LS, Foigt, NA, Folayan, MO, Foroutan, M, Gad, MM, Gaidhane, AM, Gallus, S, Geberemariyam, BS, Ghafourifard, M, Ghajar, A, Ghashghaee, A, Giampaoli, S, Gill, PS, Glozah, FN, Gnedovskaya, EV, Golechha, M, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Greaves, F, Guha, A, Guo, Y, Gupta, B, Das Gupta, R, Gupta, R, Gupta, T, Gupta, V, Hafezi-Nejad, N, Haider, MR, Hamadeh, RR, Hankey, GJ, Hargono, A, Hartono, RK, Hassankhani, H, Hay, SI, Heidari, G, Herteliu, C, Hezam, K, Hird, TR, Hole, MK, Holla, R, Hosseinzadeh, M, Hostiuc, S, Househ, M, Hsiao, T, Huang, J, Iannucci, VC, Ibitoye, SE, Idrisov, B, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Irvani, SSN, Islam, JY, Islam, RM, Shariful Islam, Sheikh, Islami, F, Iso, H, Itumalla, R, Iwagami, M, Jaafari, J, Jain, V, Jakovljevic, M, Jang, S-I, Janjani, H, Jayaram, S, Jeemon, P, Jha, RP, Jonas, JB, Joo, T, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kanchan, T, Kandel, H, Kapoor, N, Karimi, SE, Katikireddi, SV, Kebede, HK, Kelkay, B, Kennedy, RD, Khoja, AT, Khubchandani, J, Kim, GR, Kim, Y-E, Kimokoti, RW, Kivimaki, M, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Lacey, B, Lam, JO, Landires, I, Lasrado, S, Lauriola, P, Lee, DW, Lee, YH, Leung, J, Li, S, Lin, H, Linn, S, Liu, W, Lopez, AD, Lopukhov, PD, Lorkowski, S, Lugo, A, Majeed, A, Maleki, A, Malekzadeh, R, Malta, DC, Mamun, AA, Manjunatha, N, Mansouri, B, Mansournia, MA, Martinez-Raga, J, Martini, S, Mathur, MR, Medina-Solis, CE, Mehata, S, Mendoza, W, Menezes, RG, Meretoja, A, Meretoja, TJ, Miazgowski, B, Michalek, IM, Miller, TR, Mirrakhimov, EM, Mirzaei, H, Mirzaei-Alavijeh, M, Misra, S, Moghadaszadeh, M, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Monasta, L, Moni, MA, Moradi, G, Moradi-Lakeh, M, Moradzadeh, R, Morrison, SD, Mossie, TB, Mubarik, S, Mullany, EC, Murray, CJL, Naghavi, M, Naghshtabrizi, B, Nair, S, Nalini, M, Nangia, V, Naqvi, AA, Swamy, SN, Naveed, M, Nayak, S, Nayak, VC, Nazari, J, Nduaguba, SO, Kandel, SN, Cuong, TN, Huong, LTN, Son, HN, Trang, HN, Nixon, MR, Nnaji, CA, Norrving, B, Noubiap, JJ, Nowak, C, Ogbo, FA, Oguntade, AS, Oh, I-H, Olagunju, AT, Oren, E, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Pakhale, MPAS, Pakshir, K, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Parekh, U, Park, E-C, Park, E-K, Kan, FP, Patton, GC, Pawar, S, Pestell, RG, Pinheiro, M, Piradov, MA, Pirouzpanah, S, Pokhrel, KN, Polibin, RV, Prashant, A, Pribadi, DRA, Radfar, A, Rahimi-Movaghar, V, Rahman, A, Rahman, MHU, Rahman, Muhammad, Rahmani, AM, Rajai, N, Ram, P, Ranabhat, CL, Rathi, P, Rawal, L, Renzaho, AMN, Myriam Reynales-Shigematsu, L, Rezapour, A, Riahi, SM, Riaz, MA, Roever, L, Ronfani, L, Roshandel, G, Roy, A, Roy, B, Sacco, S, Saddik, B, Sahebkar, A, Salehi, S, Salimzadeh, H, Samaei, M, Samy, AM, Santos, IS, Santric-Milicevic, MM, Sarrafzadegan, N, Sathian, B, Sawhney, M, Saylan, M, Schaub, MP, Schmidt, MI, Ceola Schneider, IJ, Schutte, AE, Schwendicke, F, Seidu, A-A, Kumar, NS, Sepanlou, SG, Seylani, A, Shafaat, O, Shah, SM, Shaikh, MA, Shalash, AS, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shigematsu, M, Shiri, R, Shishani, K, Shivakumar, KM, Shivalli, S, Shrestha, R, Siabani, S, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Santos Silva, DA, Silva, JP, Singh, A, Singh, JA, Singh, V, Sinha, DN, Sitas, F, Skryabin, VY, Skryabina, AA, Soboka, M, Soriano, JB, Soroush, A, Soshnikov, S, Soyiri, IN, Spurlock, EE, Sreeramareddy, CT, Stein, DJ, Steiropoulos, P, Stortecky, S, Straif, K, Abdulkader, RS, Sulo, G, Sundstrom, J, Tabuchi, T, Tadakamadla, SK, Taddele, BW, Tadesse, EG, Tamiru, AT, Tareke, M, Tareque, MI, Tarigan, IU, Temsah, M-H, Thankappan, KR, Thapar, R, Tichopad, A, Tolani, MA, Topouzis, F, Tovani-Palone, MR, Bach, XT, Tripathy, JP, Tsegaye, GW, Tsilimparis, N, Tymeson, HD, Ullah, A, Ullah, S, Unim, B, Updike, RL, Vacante, M, Valdez, PR, Vardavas, C, Varona Perez, P, Vasankari, TJ, Venketasubramanian, N, Verma, M, Vetrova, MV, Bay, V, Giang, TV, Waheed, Y, Wang, Y, Welding, K, Werdecker, A, Whisnant, JL, Wickramasinghe, ND, Yamagishi, K, Yandrapalli, S, Yatsuya, H, Yazdi-Feyzabadi, V, Yeshaw, Y, Yimmer, MZ, Yonemoto, N, Yu, C, Yunusa, I, Yusefzadeh, H, Moghadam, TZ, Zaman, MS, Zamanian, M, Zandian, H, Zar, HJ, Zastrozhin, MS, Zastrozhina, A, Zavala-Arciniega, L, Zhang, J, Zhang, Z-J, Zhong, C, Zuniga, YMH, and Gakidou, E
Published: 2021

10. Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019

Author: Kendrick, PJ, Reitsma, MB, Abbasi-Kangevari, M, Abdoli, A, Abdollahi, M, Abedi, A, Abhilash, ES, Aboyans, V, Adebayo, OM, Advani, SM, Ahinkorah, BO, Ahmad, S, Ahmadi, K, Ahmed, H, Aji, B, Akalu, Y, Akunna, CJ, Alahdab, F, Al-Aly, Z, Alanezi, FM, Alanzi, TM, Alhabib, KF, Ali, T, Alif, SM, Alipour, V, Aljunid, SM, Alomari, MA, Amin, TT, Amini, S, Amu, H, Ancuceanu, R, Anderson, JA, Andrei, CL, Andrei, T, Ansari-Moghaddam, A, Antony, B, Anvari, D, Arabloo, J, Arian, ND, Arora, M, Artanti, KD, Asmare, WN, Atnafu, DD, Ausloos, M, Awan, AT, Ayano, G, Aynalem, GL, Azari, S, Darshan, BB, Badiye, AD, Baig, AA, Banach, M, Banerjee, SK, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Basu, S, Bayati, M, Bazargan-Hejazi, S, Bekuma, TT, Bennett, DA, Bensenor, IM, Benzian, H, Benziger, CP, Berman, AE, Bhagavathula, AS, Bhala, N, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bibi, S, Bijani, A, Biondi, A, Braithwaite, D, Brenner, H, Brunoni, AR, Burkart, K, Nagaraja, SB, Butt, ZA, dos Santos, FLC, Car, J, Carreras, G, Castaldelli-Maia, JM, Cattaruzza, MSS, Chang, J-C, Chaturvedi, P, Chen, S, Chido-Amajuoyi, OG, Chu, D-T, Chung, S-C, Ciobanu, LG, Costa, VM, Couto, RAS, Dagnew, B, Dai, X, Damasceno, AAM, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Gela, JD, Molla, MD, Desta, AA, Dharmaratne, SD, Dhimal, M, Eagan, AW, Kalan, ME, Edvardsson, K, Effiong, A, El Tantawi, M, Elbarazi, I, Esmaeilnejad, S, Fadhil, I, Faraon, EJA, Farwati, M, Farzadfar, F, Fazlzadeh, M, Feigin, VL, Feldman, R, Filip, I, Filippidis, F, Fischer, F, Flor, LS, Foigt, NA, Folayan, MO, Foroutan, M, Gad, MM, Gallus, S, Geberemariyam, BS, Gebregiorgis, BG, Getacher, L, Obsa, AG, Ghafourifard, M, Gheshlagh, RG, Ghashghaee, A, Ghith, N, Gil, GF, Gill, PS, Ginawi, IA, Goharinezhad, S, Golechha, M, Gopalani, SV, Gorini, G, Grivna, M, Guha, A, Guimaraes, RA, Guo, Y, Das Gupta, R, Gupta, R, Gupta, T, Gupta, V, Hafezi-Nejad, N, Haider, MR, Hamadeh, RR, Hankey, GJ, Hargono, A, Hay, S, Heidari, G, Herteliu, C, Hezam, K, Hird, TR, Holla, R, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsiao, T, Huang, J, Ibeneme, CU, Ibitoye, SE, Ilic, IM, Ilic, MD, Inbaraj, LR, Irvani, SSN, Islam, JY, Islam, RM, Shariful Islam, Sheikh, Islami, F, Iso, H, Itumalla, R, Jaafari, J, Jain, V, Jakovljevic, M, Jang, S-I, Jayaram, S, Jeemon, P, Jha, RP, Jonas, JB, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kanchan, T, Kandel, H, Kapoor, N, Karch, A, Karimi, SE, Kebede, KM, Kelkay, B, Kennedy, RD, Khader, YS, Khan, EA, Khayamzadeh, M, Kim, GR, Kimokoti, RW, Kivimaki, M, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Lacey, B, Landires, I, Lasrado, S, Lauriola, P, Lee, DW, Lee, YH, Leung, J, Li, S, Lin, H, Liu, W, Lugo, A, Kunjathur, SM, Majeed, A, Maleki, A, Malekzadeh, R, Malta, DC, Mamun, AA, Manjunatha, N, Mansouri, B, Mansournia, MA, Martini, S, Mathur, MR, Mathur, P, Mazidi, M, McKee, M, Medina-Solis, CE, Mehata, S, Mendoza, W, Menezes, RG, Miazgowski, B, Michalek, IM, Miller, TR, Mini, G, Mirica, A, Mirrakhimov, EM, Mirzaei, H, Misra, S, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Moradzadeh, R, Morrison, SD, Mossie, TB, Mubarik, S, Mullany, EC, Murray, CJL, Nagaraju, SP, Naghavi, M, Naik, N, Nalini, M, Nangia, V, Naqvi, AA, Swamy, SN, Naveed, M, Nazari, J, Nduaguba, SO, Negoi, RI, Kandel, SN, Nguyen, HLT, Nigatu, YT, Nixon, MR, Nnaji, CA, Noubiap, JJ, Nowak, C, Nunez-Samudio, V, Ogbo, FA, Oguntade, AS, Oh, I-H, Olagunju, AT, Owolabi, MO, Mahesh, PA, Pakshir, K, Pana, A, Panagiotakos, D, Panda-Jonas, S, Pandey, A, Parekh, U, Park, E-C, Park, E-K, Kan, FP, Pathak, M, Pawar, S, Pestell, RG, Pham, HQ, Pinheiro, M, Pokhrel, KN, Pourshams, A, Prashant, A, Radfar, A, Rahimi-Movaghar, V, Rahman, MHU, Rahman, Muhammad, Rahmani, AM, Ram, P, Rana, J, Ranabhat, CL, Rathi, P, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Renzaho, AMN, Rezapour, A, Riaz, MA, Roever, L, Ronfani, L, Roshandel, G, Roy, A, Roy, B, Saddik, B, Sahebkar, A, Salehi, S, Salimzadeh, H, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Sao Jose, BP, Sathian, B, Sawhney, M, Saya, GK, Schwendicke, F, Seidu, A-A, Kumar, NS, Sepanlou, SG, Shafaat, O, Shah, SM, Shaikh, MA, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shigematsu, M, Shiri, R, Shishani, K, Shivakumar, KM, Shivalli, S, Shrestha, R, Siabani, S, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Silva, JP, Singh, A, Singh, JA, Singh, V, Sinha, DN, Skryabin, VY, Skryabina, AA, Soroush, A, Soyiri, IN, Sreeramareddy, CT, Stein, DJ, Steiropoulos, P, Stortecky, S, Straif, K, Abdulkader, RS, Sulo, G, Sundstrom, J, Tabuchi, T, Tadesse, EG, Tamiru, AT, Tareke, M, Tareque, MI, Tarigan, IU, Thakur, B, Thankappan, KR, Thapar, R, Tolani, MA, Tovani-Palone, MR, Tran, BX, Tripathy, JP, Tsegaye, GW, Tymeson, HD, Ullah, S, Unim, B, Updike, RL, Uthman, OA, Vacante, M, Vardavas, C, Venketasubramanian, N, Verma, M, Vidale, S, Vo, B, Vu, GT, Waheed, Y, Wang, Y, Welding, K, Werdecker, A, Whisnant, JL, Wickramasinghe, ND, Wubishet, BL, Yamagishi, K, Yano, Y, Yazdi-Feyzabadi, V, Yeshaw, Y, Yimmer, MZ, Yonemoto, N, Yousefi, Z, Yu, C, Yunusa, I, Yusefzadeh, H, Zaman, MS, Zamani, M, Zamanian, M, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhang, Z-J, Zhong, C, Zuniga, YMH, Gakidou, E, Kendrick, PJ, Reitsma, MB, Abbasi-Kangevari, M, Abdoli, A, Abdollahi, M, Abedi, A, Abhilash, ES, Aboyans, V, Adebayo, OM, Advani, SM, Ahinkorah, BO, Ahmad, S, Ahmadi, K, Ahmed, H, Aji, B, Akalu, Y, Akunna, CJ, Alahdab, F, Al-Aly, Z, Alanezi, FM, Alanzi, TM, Alhabib, KF, Ali, T, Alif, SM, Alipour, V, Aljunid, SM, Alomari, MA, Amin, TT, Amini, S, Amu, H, Ancuceanu, R, Anderson, JA, Andrei, CL, Andrei, T, Ansari-Moghaddam, A, Antony, B, Anvari, D, Arabloo, J, Arian, ND, Arora, M, Artanti, KD, Asmare, WN, Atnafu, DD, Ausloos, M, Awan, AT, Ayano, G, Aynalem, GL, Azari, S, Darshan, BB, Badiye, AD, Baig, AA, Banach, M, Banerjee, SK, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Basu, S, Bayati, M, Bazargan-Hejazi, S, Bekuma, TT, Bennett, DA, Bensenor, IM, Benzian, H, Benziger, CP, Berman, AE, Bhagavathula, AS, Bhala, N, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bibi, S, Bijani, A, Biondi, A, Braithwaite, D, Brenner, H, Brunoni, AR, Burkart, K, Nagaraja, SB, Butt, ZA, dos Santos, FLC, Car, J, Carreras, G, Castaldelli-Maia, JM, Cattaruzza, MSS, Chang, J-C, Chaturvedi, P, Chen, S, Chido-Amajuoyi, OG, Chu, D-T, Chung, S-C, Ciobanu, LG, Costa, VM, Couto, RAS, Dagnew, B, Dai, X, Damasceno, AAM, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Gela, JD, Molla, MD, Desta, AA, Dharmaratne, SD, Dhimal, M, Eagan, AW, Kalan, ME, Edvardsson, K, Effiong, A, El Tantawi, M, Elbarazi, I, Esmaeilnejad, S, Fadhil, I, Faraon, EJA, Farwati, M, Farzadfar, F, Fazlzadeh, M, Feigin, VL, Feldman, R, Filip, I, Filippidis, F, Fischer, F, Flor, LS, Foigt, NA, Folayan, MO, Foroutan, M, Gad, MM, Gallus, S, Geberemariyam, BS, Gebregiorgis, BG, Getacher, L, Obsa, AG, Ghafourifard, M, Gheshlagh, RG, Ghashghaee, A, Ghith, N, Gil, GF, Gill, PS, Ginawi, IA, Goharinezhad, S, Golechha, M, Gopalani, SV, Gorini, G, Grivna, M, Guha, A, Guimaraes, RA, Guo, Y, Das Gupta, R, Gupta, R, Gupta, T, Gupta, V, Hafezi-Nejad, N, Haider, MR, Hamadeh, RR, Hankey, GJ, Hargono, A, Hay, S, Heidari, G, Herteliu, C, Hezam, K, Hird, TR, Holla, R, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsiao, T, Huang, J, Ibeneme, CU, Ibitoye, SE, Ilic, IM, Ilic, MD, Inbaraj, LR, Irvani, SSN, Islam, JY, Islam, RM, Shariful Islam, Sheikh, Islami, F, Iso, H, Itumalla, R, Jaafari, J, Jain, V, Jakovljevic, M, Jang, S-I, Jayaram, S, Jeemon, P, Jha, RP, Jonas, JB, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kanchan, T, Kandel, H, Kapoor, N, Karch, A, Karimi, SE, Kebede, KM, Kelkay, B, Kennedy, RD, Khader, YS, Khan, EA, Khayamzadeh, M, Kim, GR, Kimokoti, RW, Kivimaki, M, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Lacey, B, Landires, I, Lasrado, S, Lauriola, P, Lee, DW, Lee, YH, Leung, J, Li, S, Lin, H, Liu, W, Lugo, A, Kunjathur, SM, Majeed, A, Maleki, A, Malekzadeh, R, Malta, DC, Mamun, AA, Manjunatha, N, Mansouri, B, Mansournia, MA, Martini, S, Mathur, MR, Mathur, P, Mazidi, M, McKee, M, Medina-Solis, CE, Mehata, S, Mendoza, W, Menezes, RG, Miazgowski, B, Michalek, IM, Miller, TR, Mini, G, Mirica, A, Mirrakhimov, EM, Mirzaei, H, Misra, S, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Moradzadeh, R, Morrison, SD, Mossie, TB, Mubarik, S, Mullany, EC, Murray, CJL, Nagaraju, SP, Naghavi, M, Naik, N, Nalini, M, Nangia, V, Naqvi, AA, Swamy, SN, Naveed, M, Nazari, J, Nduaguba, SO, Negoi, RI, Kandel, SN, Nguyen, HLT, Nigatu, YT, Nixon, MR, Nnaji, CA, Noubiap, JJ, Nowak, C, Nunez-Samudio, V, Ogbo, FA, Oguntade, AS, Oh, I-H, Olagunju, AT, Owolabi, MO, Mahesh, PA, Pakshir, K, Pana, A, Panagiotakos, D, Panda-Jonas, S, Pandey, A, Parekh, U, Park, E-C, Park, E-K, Kan, FP, Pathak, M, Pawar, S, Pestell, RG, Pham, HQ, Pinheiro, M, Pokhrel, KN, Pourshams, A, Prashant, A, Radfar, A, Rahimi-Movaghar, V, Rahman, MHU, Rahman, Muhammad, Rahmani, AM, Ram, P, Rana, J, Ranabhat, CL, Rathi, P, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Renzaho, AMN, Rezapour, A, Riaz, MA, Roever, L, Ronfani, L, Roshandel, G, Roy, A, Roy, B, Saddik, B, Sahebkar, A, Salehi, S, Salimzadeh, H, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Sao Jose, BP, Sathian, B, Sawhney, M, Saya, GK, Schwendicke, F, Seidu, A-A, Kumar, NS, Sepanlou, SG, Shafaat, O, Shah, SM, Shaikh, MA, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shigematsu, M, Shiri, R, Shishani, K, Shivakumar, KM, Shivalli, S, Shrestha, R, Siabani, S, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Silva, JP, Singh, A, Singh, JA, Singh, V, Sinha, DN, Skryabin, VY, Skryabina, AA, Soroush, A, Soyiri, IN, Sreeramareddy, CT, Stein, DJ, Steiropoulos, P, Stortecky, S, Straif, K, Abdulkader, RS, Sulo, G, Sundstrom, J, Tabuchi, T, Tadesse, EG, Tamiru, AT, Tareke, M, Tareque, MI, Tarigan, IU, Thakur, B, Thankappan, KR, Thapar, R, Tolani, MA, Tovani-Palone, MR, Tran, BX, Tripathy, JP, Tsegaye, GW, Tymeson, HD, Ullah, S, Unim, B, Updike, RL, Uthman, OA, Vacante, M, Vardavas, C, Venketasubramanian, N, Verma, M, Vidale, S, Vo, B, Vu, GT, Waheed, Y, Wang, Y, Welding, K, Werdecker, A, Whisnant, JL, Wickramasinghe, ND, Wubishet, BL, Yamagishi, K, Yano, Y, Yazdi-Feyzabadi, V, Yeshaw, Y, Yimmer, MZ, Yonemoto, N, Yousefi, Z, Yu, C, Yunusa, I, Yusefzadeh, H, Zaman, MS, Zamani, M, Zamanian, M, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhang, Z-J, Zhong, C, Zuniga, YMH, and Gakidou, E
Published: 2021

11. Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems

Author: Cork, MA, Henry, NJ, Watson, S, Croneberger, AJ, Baumann, M, Letourneau, ID, Yang, M, Serfes, AL, Abbas, J, Abbasi, N, Abbastabar, H, Abreu, LG, Abu-Gharbieh, E, Achappa, B, Adabi, M, Adal, TG, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Agudelo-Botero, M, Ahinkorah, BO, Ahmadi, K, Ahmed, MB, Alhassan, RK, Alipour, V, Almasi-Hashiani, A, Alvis-Guzman, N, Ancuceanu, R, Andrei, T, Anvari, D, Aqeel, M, Arabloo, J, Aremu, O, Asaad, M, Atnafu, DD, Atreya, A, Quintanilla, BPA, Azari, S, Darshan, BB, Baig, AA, Banach, M, Bante, SA, Barboza, MA, Basu, S, Bedi, N, Bejarano Ramirez, DF, Bensenor, IM, Beyene, FY, Bezabih, YM, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhutta, ZA, Bijani, A, Birlik, SM, Bitew, ZW, Bohlouli, S, Boloor, A, Brunoni, AR, Butt, ZA, Cardenas, R, Carvalho, F, Castaldelli-Maia, JM, Castaneda-Orjuela, CA, Charan, J, Chatterjee, S, Chattu, VK, Chattu, SK, Chowdhury, MAK, Christopher, DJ, Chu, D-T, Cook, AJ, Cormier, NM, Dahlawi, SMA, Daoud, F, Davila Cervantes, CA, Weaver, ND, De la Hoz, FP, Demeke, FM, Denova-Gutierrez, E, Deribe, K, Deuba, K, Dharmaratne, SD, Dhungana, GP, Diaz, D, Djalalinia, S, Duraes, AR, Eagan, AW, Earl, L, Effiong, A, Zaki, MES, El Tantawi, M, Elayedath, R, El-Jaafary, SI, Faraon, EJA, Faro, A, Fattahi, N, Fauk, NK, Fernandes, E, Filip, I, Fischer, F, Foigt, NA, Foroutan, M, Fukumoto, T, Gad, MM, Gebremariam, TBB, Gebremedhin, KB, Gebremeskel, GG, Gesesew, HA, Ghadiri, K, Ghashghaee, A, Gilani, SA, Golechha, M, Gori, U, Goulart, AC, Goulart, BNG, Gugnani, HC, Guimaraes, MDC, Guimaraes, RA, Guo, Y, Gupta, R, Haeuser, E, Haider, MR, Haile, TG, Haj-Mirzaian, A, Hanif, A, Hargono, A, Hariyani, N, Hassanipour, S, Hassankhani, H, Hayat, K, Herteliu, C, Ho, HC, Holla, R, Hosseinzadeh, M, Househ, M, Hwang, BF, Ibeneme, CU, Ibitoye, SE, Ilesanmi, OS, Ilic, MD, Ilic, IM, Iqbal, U, Jahagirdar, D, Jain, V, Jakovljevic, M, Jha, RP, Johnson, KB, Joseph, N, Joukar, F, Kalankesh, LR, Kalhor, R, Kanchan, T, Matin, BK, Karch, A, Karimi, SE, Kassahun, G, Kayode, GA, Karyani, AK, Keramati, M, Khalid, N, Khan, EA, Khan, G, Khan, MNN, Khatab, K, Kianipour, N, Kim, YJ, Kisa, S, Kisa, A, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Defo, BK, Kuchenbecker, RS, Kulkarni, V, Kumar, N, Kumar, M, Kurmi, OP, Kusuma, D, La Vecchia, C, Lal, DK, Landires, I, Lasrado, S, Lee, PH, LeGrand, KE, Li, B, Li, S, Liu, X, Amin, HIM, Machado, DB, Madi, D, Magis-Rodriguez, C, Malta, DC, Mansournia, MA, Manzar, MD, Marrugo Arnedo, CA, Martins-Melo, FR, Masoumi, SZ, Mayala, BK, Medina-Solis, CE, Memish, ZA, Mendoza, W, Menezes, RG, Mestrovic, T, Mirica, A, Moazen, B, Mohammad, Y, Mezerji, NMG, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mokdad, AH, Moni, MA, Moradi, M, Moradi, Y, Moradzadeh, R, Moraga, P, Khaneghah, AM, Mustafa, G, Mwanri, L, Nagaraja, R, Nagarajan, AJ, Naimzada, MD, Nascimento, BR, Naveed, M, Nayak, VC, Nazari, J, Negash, H, Negoi, I, Nepal, S, Nguefack-Tsague, G, Nguyen, CT, Nguyen, HLT, Nikbakhsh, R, Noubiap, JJ, Nunez-Samudio, V, Oancea, B, Ogbo, FA, Olagunju, AT, Otstavnov, N, Mahesh, PA, Padubidri, JR, Perumal, SRP, Pardo-Montano, AM, Patel, UK, Pawar, S, Peprah, EK, Pereira, A, Perkins, S, Pescarini, JM, Pokhrel, KN, Postma, MJ, Pottoo, FH, Prada, SI, Preotescu, L, Pribadi, DRA, Radfar, A, Rahim, F, Rahman, MHU, Rahmani, AM, Ramezanzadeh, K, Rana, J, Ranabhat, CL, Rao, SJ, Rathi, P, Rawaf, S, Rawaf, DL, Rawassizadeh, R, Renjith, V, Rezaei, N, Rezapour, A, Ribeiro, AI, Roever, L, Rubagotti, E, Rumisha, SF, Rwegerera, GM, Sagar, R, Sajadi, SM, Salem, MR, Samy, AM, Sarmiento-Suarez, R, Sathian, B, Schaeffer, LE, Schneider, IJC, Seidu, A-A, Sha, F, Shaikh, MA, Sharafi, K, Sheikh, A, Shibuya, K, Shin, JI, Silva, DAS, Singh, JA, Skryabin, VY, Skryabina, AA, Sligar, A, Soheili, A, Steuben, KM, Sufiyan, MB, Tadesse, EG, Tesema, AKT, Tesfay, FH, Thapar, R, Thompson, RL, Tovani-Palone, MR, Tran, BX, Tsegaye, GW, Umeokonkwo, CD, Unnikrishnan, B, Vasseghian, Y, Violante, FS, Vo, B, Vu, GT, Waheed, Y, Wang, Y-P, Wang, Y, Ward, P, Welay, FT, Westerman, R, Wickramasinghe, ND, Yaya, S, Yip, P, Yonemoto, N, Yu, C, Yuce, D, Yusefzadeh, H, Zamanian, M, Zastrozhin, MS, Zhang, Z-J, Zhang, Y, Ziapour, A, Hay, SI, Dwyer-Lindgren, L, Cork, MA, Henry, NJ, Watson, S, Croneberger, AJ, Baumann, M, Letourneau, ID, Yang, M, Serfes, AL, Abbas, J, Abbasi, N, Abbastabar, H, Abreu, LG, Abu-Gharbieh, E, Achappa, B, Adabi, M, Adal, TG, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Agudelo-Botero, M, Ahinkorah, BO, Ahmadi, K, Ahmed, MB, Alhassan, RK, Alipour, V, Almasi-Hashiani, A, Alvis-Guzman, N, Ancuceanu, R, Andrei, T, Anvari, D, Aqeel, M, Arabloo, J, Aremu, O, Asaad, M, Atnafu, DD, Atreya, A, Quintanilla, BPA, Azari, S, Darshan, BB, Baig, AA, Banach, M, Bante, SA, Barboza, MA, Basu, S, Bedi, N, Bejarano Ramirez, DF, Bensenor, IM, Beyene, FY, Bezabih, YM, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhutta, ZA, Bijani, A, Birlik, SM, Bitew, ZW, Bohlouli, S, Boloor, A, Brunoni, AR, Butt, ZA, Cardenas, R, Carvalho, F, Castaldelli-Maia, JM, Castaneda-Orjuela, CA, Charan, J, Chatterjee, S, Chattu, VK, Chattu, SK, Chowdhury, MAK, Christopher, DJ, Chu, D-T, Cook, AJ, Cormier, NM, Dahlawi, SMA, Daoud, F, Davila Cervantes, CA, Weaver, ND, De la Hoz, FP, Demeke, FM, Denova-Gutierrez, E, Deribe, K, Deuba, K, Dharmaratne, SD, Dhungana, GP, Diaz, D, Djalalinia, S, Duraes, AR, Eagan, AW, Earl, L, Effiong, A, Zaki, MES, El Tantawi, M, Elayedath, R, El-Jaafary, SI, Faraon, EJA, Faro, A, Fattahi, N, Fauk, NK, Fernandes, E, Filip, I, Fischer, F, Foigt, NA, Foroutan, M, Fukumoto, T, Gad, MM, Gebremariam, TBB, Gebremedhin, KB, Gebremeskel, GG, Gesesew, HA, Ghadiri, K, Ghashghaee, A, Gilani, SA, Golechha, M, Gori, U, Goulart, AC, Goulart, BNG, Gugnani, HC, Guimaraes, MDC, Guimaraes, RA, Guo, Y, Gupta, R, Haeuser, E, Haider, MR, Haile, TG, Haj-Mirzaian, A, Hanif, A, Hargono, A, Hariyani, N, Hassanipour, S, Hassankhani, H, Hayat, K, Herteliu, C, Ho, HC, Holla, R, Hosseinzadeh, M, Househ, M, Hwang, BF, Ibeneme, CU, Ibitoye, SE, Ilesanmi, OS, Ilic, MD, Ilic, IM, Iqbal, U, Jahagirdar, D, Jain, V, Jakovljevic, M, Jha, RP, Johnson, KB, Joseph, N, Joukar, F, Kalankesh, LR, Kalhor, R, Kanchan, T, Matin, BK, Karch, A, Karimi, SE, Kassahun, G, Kayode, GA, Karyani, AK, Keramati, M, Khalid, N, Khan, EA, Khan, G, Khan, MNN, Khatab, K, Kianipour, N, Kim, YJ, Kisa, S, Kisa, A, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Defo, BK, Kuchenbecker, RS, Kulkarni, V, Kumar, N, Kumar, M, Kurmi, OP, Kusuma, D, La Vecchia, C, Lal, DK, Landires, I, Lasrado, S, Lee, PH, LeGrand, KE, Li, B, Li, S, Liu, X, Amin, HIM, Machado, DB, Madi, D, Magis-Rodriguez, C, Malta, DC, Mansournia, MA, Manzar, MD, Marrugo Arnedo, CA, Martins-Melo, FR, Masoumi, SZ, Mayala, BK, Medina-Solis, CE, Memish, ZA, Mendoza, W, Menezes, RG, Mestrovic, T, Mirica, A, Moazen, B, Mohammad, Y, Mezerji, NMG, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mokdad, AH, Moni, MA, Moradi, M, Moradi, Y, Moradzadeh, R, Moraga, P, Khaneghah, AM, Mustafa, G, Mwanri, L, Nagaraja, R, Nagarajan, AJ, Naimzada, MD, Nascimento, BR, Naveed, M, Nayak, VC, Nazari, J, Negash, H, Negoi, I, Nepal, S, Nguefack-Tsague, G, Nguyen, CT, Nguyen, HLT, Nikbakhsh, R, Noubiap, JJ, Nunez-Samudio, V, Oancea, B, Ogbo, FA, Olagunju, AT, Otstavnov, N, Mahesh, PA, Padubidri, JR, Perumal, SRP, Pardo-Montano, AM, Patel, UK, Pawar, S, Peprah, EK, Pereira, A, Perkins, S, Pescarini, JM, Pokhrel, KN, Postma, MJ, Pottoo, FH, Prada, SI, Preotescu, L, Pribadi, DRA, Radfar, A, Rahim, F, Rahman, MHU, Rahmani, AM, Ramezanzadeh, K, Rana, J, Ranabhat, CL, Rao, SJ, Rathi, P, Rawaf, S, Rawaf, DL, Rawassizadeh, R, Renjith, V, Rezaei, N, Rezapour, A, Ribeiro, AI, Roever, L, Rubagotti, E, Rumisha, SF, Rwegerera, GM, Sagar, R, Sajadi, SM, Salem, MR, Samy, AM, Sarmiento-Suarez, R, Sathian, B, Schaeffer, LE, Schneider, IJC, Seidu, A-A, Sha, F, Shaikh, MA, Sharafi, K, Sheikh, A, Shibuya, K, Shin, JI, Silva, DAS, Singh, JA, Skryabin, VY, Skryabina, AA, Sligar, A, Soheili, A, Steuben, KM, Sufiyan, MB, Tadesse, EG, Tesema, AKT, Tesfay, FH, Thapar, R, Thompson, RL, Tovani-Palone, MR, Tran, BX, Tsegaye, GW, Umeokonkwo, CD, Unnikrishnan, B, Vasseghian, Y, Violante, FS, Vo, B, Vu, GT, Waheed, Y, Wang, Y-P, Wang, Y, Ward, P, Welay, FT, Westerman, R, Wickramasinghe, ND, Yaya, S, Yip, P, Yonemoto, N, Yu, C, Yuce, D, Yusefzadeh, H, Zamanian, M, Zastrozhin, MS, Zhang, Z-J, Zhang, Y, Ziapour, A, Hay, SI, and Dwyer-Lindgren, L
Abstract: BACKGROUND: Human immunodeficiency virus (HIV) remains a public health priority in Latin America. While the burden of HIV is historically concentrated in urban areas and high-risk groups, subnational estimates that cover multiple countries and years are missing. This paucity is partially due to incomplete vital registration (VR) systems and statistical challenges related to estimating mortality rates in areas with low numbers of HIV deaths. In this analysis, we address this gap and provide novel estimates of the HIV mortality rate and the number of HIV deaths by age group, sex, and municipality in Brazil, Colombia, Costa Rica, Ecuador, Guatemala, and Mexico. METHODS: We performed an ecological study using VR data ranging from 2000 to 2017, dependent on individual country data availability. We modeled HIV mortality using a Bayesian spatially explicit mixed-effects regression model that incorporates prior information on VR completeness. We calibrated our results to the Global Burden of Disease Study 2017. RESULTS: All countries displayed over a 40-fold difference in HIV mortality between municipalities with the highest and lowest age-standardized HIV mortality rate in the last year of study for men, and over a 20-fold difference for women. Despite decreases in national HIV mortality in all countries-apart from Ecuador-across the period of study, we found broad variation in relative changes in HIV mortality at the municipality level and increasing relative inequality over time in all countries. In all six countries included in this analysis, 50% or more HIV deaths were concentrated in fewer than 10% of municipalities in the latest year of study. In addition, national age patterns reflected shifts in mortality to older age groups-the median age group among decedents ranged from 30 to 45 years of age at the municipality level in Brazil, Colombia, and Mexico in 2017. CONCLUSIONS: Our subnational estimates of HIV mortality revealed significant spatial variation and divergi
Published: 2021

12. Multimodal association of tDCS with electroencephalography

Author: Brunoni, AR, Nitsche, MA, Loo, CK, Bolognini, N, Diana, L, Bolognini N., Diana L., Brunoni, AR, Nitsche, MA, Loo, CK, Bolognini, N, Diana, L, Bolognini N., and Diana L.
Abstract: In the field of neuromodulation, we have observed an increase in the popularity of approaches that combine transcranial electrical stimulation (tES) with additional methods to establish, in vivo, the neurophysiological consequences of a given experimental or therapeutic manipulation. Research in the development of multimodal approaches has provided new methods that can be combined with tES to study brain functions. This chapter aims to introduce the reader to some basic principles of this multimodal approach. We begin with a brief definition of multimodal association and a description of its advantages. Afterwards, we provide a more specific description of how we can combine tES with electroencephalography (EEG). We show that EEG is a feasible and reliable way to track electrophysiological changes induced by tES, deepening our understanding of the mechanisms of action of this tool and revealing the key role of several stimulation features. In neuropsychiatric diseases, a combined tES-EEG approach may allow the prediction of clinical responses to tES, the discrimination of responders from non-responders, allowing improvements in the efficacy of tES and the tracking of tES-induced neuroplastic changes associated with recovery.
Published: 2021

13. Prospective associations between hsCRP and GlycA inflammatory biomarkers and depression: The Brazilian longitudinal study of adult health (ELSA-Brasil)

Author: Brunoni AR, Salum GA, Hoffmann MS, Goulart AC, Barreto SM, Canhada S, Carvalho AF, Koyanagi A, Calice-Silva V, Lotufo PA, Santos IS, Suemoto CK, and Benseñor IM
Subjects: cardiovascular diseases, CRP, Cohort study, Depressive disorder, GlycA, Persistent depression, Psychiatry
Abstract: Although low-grade inflammation is associated with onset and persistence of depression, most biomarkers display modest predictive effects. GlycA (glycoprotein acetylation) is a unique metabolomic composite of pro-inflammatory acute-phase glycoproteins. We hypothesized that GlycA levels would predict depression incidence, remission and persistence, with higher accuracy than high-sensitivity c-reactive protein (hsCRP). We also explored the additive predictive value of GlycA above and beyond hsCRP.
Published: 2020

14. Precision non-implantable neuromodulation therapies: A perspective for the depressed brain

Author: Borrione, L, Bellini, H, Razza, LB, Avila, AG, Baeken, C, Brem, AK, Busatto, G, Carvalho, AF, Chekroud, A, Daskalakis, ZJ, Deng, ZD, Downar, J, Gattaz, W, Loo, C, Lotufo, PA, Martin, MDGM, McClintock, SM, O’shea, J, Padberg, F, Passos, IC, Salum, GA, Vanderhasselt, MA, Fraguas, R, Benseñor, I, Valiengo, L, Brunoni, AR, Borrione, L, Bellini, H, Razza, LB, Avila, AG, Baeken, C, Brem, AK, Busatto, G, Carvalho, AF, Chekroud, A, Daskalakis, ZJ, Deng, ZD, Downar, J, Gattaz, W, Loo, C, Lotufo, PA, Martin, MDGM, McClintock, SM, O’shea, J, Padberg, F, Passos, IC, Salum, GA, Vanderhasselt, MA, Fraguas, R, Benseñor, I, Valiengo, L, and Brunoni, AR
Abstract: Current first-line treatments for major depressive disorder (MDD) include pharmacotherapy and cognitive-behavioral therapy. However, one-third of depressed patients do not achieve remission after multiple medication trials, and psychotherapy can be costly and time-consuming. Although non-implantable neuromodulation (NIN) techniques such as transcranial magnetic stimulation, transcranial direct current stimulation, electroconvulsive therapy, and magnetic seizure therapy are gaining momentum for treating MDD, the efficacy of non-convulsive techniques is still modest, whereas use of convulsive modalities is limited by their cognitive side effects. In this context, we propose that NIN techniques could benefit from a precision-oriented approach. In this review, we discuss the challenges and opportunities in implementing such a framework, focusing on enhancing NIN effects via a combination of individualized cognitive interventions, using closed-loop approaches, identifying multimodal biomarkers, using computer electric field modeling to guide targeting and quantify dosage, and using machine learning algorithms to integrate data collected at multiple biological levels and identify clinical responders. Though promising, this framework is currently limited, as previous studies have employed small samples and did not sufficiently explore pathophysiological mechanisms associated with NIN response and side effects. Moreover, cost-effectiveness analyses have not been performed. Nevertheless, further advancements in clinical trials of NIN could shift the field toward a more ‘‘precision-oriented’’ practice.
Published: 2020

15. Evidence-based umbrella review of 162 peripheral biomarkers for major mental disorders

Author: Carvalho, AF, Solmi, M, Sanches, M, Machado, MO, Stubbs, B, Ajnakina, O, Sherman, C, Sun, YR, Liu, CS, Brunoni, AR, Pigato, G, Fernandes, BS, Bortolato, B, Husain, M, Dragioti, E, Firth, J, Cosco, TD, Maes, M, Berk, M, Lanctot, KL, Vieta, E, Pizzagalli, DA, Smith, L, Fusar-Poli, P, Kurdyak, PA, Fornaro, M, Rehm, J, Herrmann, N, Carvalho, AF, Solmi, M, Sanches, M, Machado, MO, Stubbs, B, Ajnakina, O, Sherman, C, Sun, YR, Liu, CS, Brunoni, AR, Pigato, G, Fernandes, BS, Bortolato, B, Husain, M, Dragioti, E, Firth, J, Cosco, TD, Maes, M, Berk, M, Lanctot, KL, Vieta, E, Pizzagalli, DA, Smith, L, Fusar-Poli, P, Kurdyak, PA, Fornaro, M, Rehm, J, and Herrmann, N
Abstract: The literature on non-genetic peripheral biomarkers for major mental disorders is broad, with conflicting results. An umbrella review of meta-analyses of non-genetic peripheral biomarkers for Alzheimer's disease, autism spectrum disorder, bipolar disorder (BD), major depressive disorder, and schizophrenia, including first-episode psychosis. We included meta-analyses that compared alterations in peripheral biomarkers between participants with mental disorders to controls (i.e., between-group meta-analyses) and that assessed biomarkers after treatment (i.e., within-group meta-analyses). Evidence for association was hierarchically graded using a priori defined criteria against several biases. The Assessment of Multiple Systematic Reviews (AMSTAR) instrument was used to investigate study quality. 1161 references were screened. 110 met inclusion criteria, relating to 359 meta-analytic estimates and 733,316 measurements, on 162 different biomarkers. Only two estimates met a priori defined criteria for convincing evidence (elevated awakening cortisol levels in euthymic BD participants relative to controls and decreased pyridoxal levels in participants with schizophrenia relative to controls). Of 42 estimates which met criteria for highly suggestive evidence only five biomarker aberrations occurred in more than one disorder. Only 15 meta-analyses had a power >0.8 to detect a small effect size, and most (81.9%) meta-analyses had high heterogeneity. Although some associations met criteria for either convincing or highly suggestive evidence, overall the vast literature of peripheral biomarkers for major mental disorders is affected by bias and is underpowered. No convincing evidence supported the existence of a trans-diagnostic biomarker. Adequately powered and methodologically sound future large collaborative studies are warranted.
Published: 2020

16. Noninvasive brain stimulation in psychiatric disorders: A primer

Author: Brunoni, AR, Sampaio-Junior, B, Moffa, AH, Aparício, LV, Gordon, P, Klein, I, Rios, RM, Razza, LB, Loo, C, Padberg, F, Valiengo, L, Brunoni, AR, Sampaio-Junior, B, Moffa, AH, Aparício, LV, Gordon, P, Klein, I, Rios, RM, Razza, LB, Loo, C, Padberg, F, and Valiengo, L
Abstract: Objective: Noninvasive brain stimulation (NIBS) techniques, such as transcranial direct current stimulation (tDCS) and repetitive transcranial magnetic stimulation (rTMS), are increasingly being used to treat mental disorders, particularly major depression. The aim of this comprehensive review is to summarize the main advances, limitations, and perspectives of the field. Methods: We searched PubMed and other databases from inception to July 2017 for articles, particularly systematic reviews and meta-analyses, evaluating the use of NIBS in psychiatric disorders. Results: We reviewed the mechanisms of action, safety, tolerability, efficacy, and relevant clinical parameters of NIBS. Repetitive TMS is already an established technique for the treatment of depression, and there is theoretically room for further methodological development towards a high-end therapeutic intervention. In contrast, tDCS is a technically easier method and therefore potentially suitable for wider clinical use. However the evidence of its antidepressant efficacy is less sound, and a recent study found tDCS to be inferior to antidepressant pharmacotherapy. Clinical trials using rTMS for other mental disorders produced mixed findings, whereas tDCS use has not been sufficiently appraised. Conclusion: The most promising results of NIBS have been obtained for depression. These techniques excel in safety and tolerability, although their efficacy still warrants improvement.
Published: 2019

17. Different patterns of alcohol consumption and the incidence and persistence of depressive and anxiety symptoms among older adults in Ireland: A prospective community-based study

Author: Carvalho AF, Stubbs B, Maes M, Solmi M, Vancampfort D, Kurdyak PA, Brunoni AR, Husain MI, and Koyanagi A
Subjects: Older adults, Anxiety, Prospective study, Psychiatry, Alcohol use disorder, Depression
Abstract: BACKGROUND: The associations of different patterns of alcohol consumption and the incidence and persistence of depressive and anxiety symptoms in older age remain unclear. METHODS: Data on 6095 adults aged?=?50 years old from the Irish Longitudinal Study on Aging (TILDA) was analyzed. Participants completed the CAGE instrument to screen for problematic alcohol use at baseline between October 2009 and February 2011. Outcomes were incident (assessed by the CES-D scale) and anxiety (assessed by the Hospital Anxiety and Depressive scale) symptoms after a two-year follow-up as well as persistence of probable depression and anxiety among those with a positive screen for those disorders at baseline. Associations were adjusted for potential confounders through multivariable models. RESULTS: In the overall sample, problem drinking did not predict incident and persistent depression and anxiety in this sample. Among females, problem drinking increased the risk for incident depression (OR?=?2.11; 95%CI?=?1.12-4.00) and anxiety (OR?=?2.22; 95%CI?=?1.01-4.86). In addition, problem drinking increased the risk of persistent depressive symptoms (OR?=?2.43; 95%CI?=?1.05-5.06) among females. CONCLUSION: Problem drinking may increase the risk of incident probable depression and anxiety among older females. Furthermore, problem drinking led to a higher likelihood of persistent depressive symptoms in older female participants. Interventions targeting problem drinking among older females may prevent the onset and persistence of depression in this population, while also decreasing the incidence of anxiety symptoms.
Published: 2018

18. Rigor and reproducibility in research with transcranial electrical stimulation: An NIMH-sponsored workshop

Author: Bikson, M, Brunoni, AR, Charvet, LE, Clark, VP, Cohen, LG, Deng, ZD, Dmochowski, J, Edwards, DJ, Frohlich, F, Kappenman, ES, Lim, KO, Loo, C, Mantovani, A, McMullen, DP, Parra, LC, Pearson, M, Richardson, JD, Rumsey, JM, Sehatpour, P, Sommers, D, Unal, G, Wassermann, EM, Woods, AJ, Lisanby, SH, Bikson, M, Brunoni, AR, Charvet, LE, Clark, VP, Cohen, LG, Deng, ZD, Dmochowski, J, Edwards, DJ, Frohlich, F, Kappenman, ES, Lim, KO, Loo, C, Mantovani, A, McMullen, DP, Parra, LC, Pearson, M, Richardson, JD, Rumsey, JM, Sehatpour, P, Sommers, D, Unal, G, Wassermann, EM, Woods, AJ, and Lisanby, SH
Abstract: Background: Neuropsychiatric disorders are a leading source of disability and require novel treatments that target mechanisms of disease. As such disorders are thought to result from aberrant neuronal circuit activity, neuromodulation approaches are of increasing interest given their potential for manipulating circuits directly. Low intensity transcranial electrical stimulation (tES) with direct currents (transcranial direct current stimulation, tDCS) or alternating currents (transcranial alternating current stimulation, tACS) represent novel, safe, well-tolerated, and relatively inexpensive putative treatment modalities. Objective: This report seeks to promote the science, technology and effective clinical applications of these modalities, identify research challenges, and suggest approaches for addressing these needs in order to achieve rigorous, reproducible findings that can advance clinical treatment. Methods: The National Institute of Mental Health (NIMH) convened a workshop in September 2016 that brought together experts in basic and human neuroscience, electrical stimulation biophysics and devices, and clinical trial methods to examine the physiological mechanisms underlying tDCS/tACS, technologies and technical strategies for optimizing stimulation protocols, and the state of the science with respect to therapeutic applications and trial designs. Results: Advances in understanding mechanisms, methodological and technological improvements (e.g., electronics, computational models to facilitate proper dosing), and improved clinical trial designs are poised to advance rigorous, reproducible therapeutic applications of these techniques. A number of challenges were identified and meeting participants made recommendations made to address them. Conclusions: These recommendations align with requirements in NIMH funding opportunity announcements to, among other needs, define dosimetry, demonstrate dose/response relationships, implement rigorous blinded trial designs
Published: 2018

19. Regulatory considerations for the clinical and research use of transcranial direct current stimulation (tDCS): Review and recommendations from an expert panel

Author: Fregni F, Nitsche MA, Loo CK, Brunoni AR, MARANGOLO, Paola, Leite J., Fregni, F, Nitsche, Ma, Loo, Ck, Brunoni, Ar, Marangolo, Paola, and Leite, J.
Abstract: Background: Transcranial direct current stimulation has shown promising clinical results, leading to increased demand for an evidence-based review on its clinical effects. Objective: We convened a team of transcranial direct current stimulation experts to conduct a systematic review of clinical trials with more than 1 session of stimulation testing: pain, Parkinson’s disease motor function and cognition, stroke motor function and language, epilepsy, major depressive disorder, obsessive compulsive disorder, Tourette syndrome, schizophrenia, and drug addiction. Methods: Experts were asked to conduct this systematic review according to the search methodology from PRISMA guidelines. Recommendations on efficacy were categorized into Levels A (definitely effective), B (probably effective), C (possibly effective), or no recommendation. We assessed risk of bias for all included studies to confirm whether results were driven by potentially biased studies. Results: Although most of the clinical trials have been designed as proof-of-concept trials, some of the indications analyzed in this review can be considered as definitely effective (Level A), such as depression, and probably effective (Level B), such as neuropathic pain, fibromyalgia, migraine, post-operative patient-controlled analgesia and pain, Parkinson’s disease (motor and cognition), stroke (motor), epilepsy, schizophrenia, and alcohol addiction. Assessment of bias showed that most of the studies had low risk of biases, and sensitivity analysis for bias did not change these results. Effect sizes vary from 0.01 to 0.70 and were significant in about 8 conditions, with the largest effect size being in postoperative acute pain and smaller in stroke motor recovery (nonsignificant when combined with robotic therapy). Conclusion: All recommendations listed here are based on current published PubMed-indexed data. Despite high levels of evidence in some conditions, it must be underscored that effect sizes and duration of effects are often limited; thus, real clinical impact needs to be further determined with different study designs.
Published: 2015

20. Response to letter to the editor: Safety of transcranial direct current stimulation: Evidence based update 2016

Author: Bikson, M, Grossman, P, Zannou, AL, Kronberg, G, Truong, D, Boggio, P, Brunoni, AR, Charvet, L, Fregni, F, Fritsch, B, Gillick, B, Hamilton, RH, Hampstead, BM, Kirton, A, Knotkova, H, Liebetanz, D, Liu, A, Loo, C, Nitsche, MA, Reis, J, Richardson, JD, Rotenberg, A, Turkeltaub, PE, Woods, AJ, Bikson, M, Grossman, P, Zannou, AL, Kronberg, G, Truong, D, Boggio, P, Brunoni, AR, Charvet, L, Fregni, F, Fritsch, B, Gillick, B, Hamilton, RH, Hampstead, BM, Kirton, A, Knotkova, H, Liebetanz, D, Liu, A, Loo, C, Nitsche, MA, Reis, J, Richardson, JD, Rotenberg, A, Turkeltaub, PE, and Woods, AJ
Published: 2017

21. Safety and acceptability of transcranial direct current stimulation for the acute treatment of major depressive episodes: Analysis of individual patient data

Author: Moffa, AH, Brunoni, AR, Fregni, F, Palm, U, Padberg, F, Blumberger, DM, Daskalakis, ZJ, Bennabi, D, Haffen, E, Alonzo, A, Loo, CK, Moffa, AH, Brunoni, AR, Fregni, F, Palm, U, Padberg, F, Blumberger, DM, Daskalakis, ZJ, Bennabi, D, Haffen, E, Alonzo, A, and Loo, CK
Abstract: Background Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation modality that has been increasingly used for major depressive disorder (MDD) treatment. Although studies in healthy volunteers showed that the technique is well-tolerated, tDCS safety and acceptability have not been sufficiently explored in patients with MDD. Methods We collected individual patient data from 6 randomized clinical trials that had been previously identified in a systematic review and meta-analysis. Primary outcomes were safety (rate of adverse events) and acceptability (rate of dropouts). Secondary outcomes were clinical, demographic and treatment predictors of the primary outcomes. Results Dropout rates between active (8.8%) and sham (12%) groups were not significantly different (OR= 0.7, p=0.38). Adverse event rates between active (73.5%) and sham (68.3%) groups were not significantly different (OR= 1.4, p= 0.23). Higher current densities were associated with lower adverse event rates. Limitations Dropout reasons were not systematically reported and adverse events were not collected using questionnaires standardized across studies. Conclusions Active tDCS is as acceptable and safe as sham tDCS, as found in randomized clinical trials of MDD.
Published: 2017

22. Treatment-emergent mania/hypomania during antidepressant treatment with transcranial direct current stimulation (tDCS): A systematic review and meta-analysis

Author: Brunoni, AR, Moffa, AH, Sampaio-Júnior, B, Gálvez, V, Loo, CK, Brunoni, AR, Moffa, AH, Sampaio-Júnior, B, Gálvez, V, and Loo, CK
Abstract: Background Treatment-emergent mania/hypomania (TEM) is a possible adverse effect of pharmacological and non-pharmacological antidepressant treatments. Objective We performed a systematic review and meta-analysis to evaluate the risk of TEM in depressed patients during randomized, sham-controlled trials (RCTs). Data sources Medline database, from the first date available to August 12, 2016. Results From 283 references, 10 RCTs were identified. Only 3 of them described TEM. In active and sham groups, respectively, only 8 of 226 (3.5%) and 1 of 190 (0.5%) participants presented TEM. This difference was not statistically significant (OR = 1.79, 95% CI = 0.6 to 5.32). There were also five additional reports of TEM in participants not on RCTs. No risk factors for TEM were identified. Limitations Low number of studies and TEM reports. Conclusion Despite previous reports, active vs. sham tDCS was not associated with a significantly greater number of TEM episodes.
Published: 2017

23. La stimolazione cerebrale non invasiva nel trattamento dei disturbi psichiatrici

Author: Brunoni, AR, Tortella, G., BOLOGNINI, NADIA, Bolognini, N, Vallar, G, Brunoni, A, and Tortella, G
Subjects: TMS, tDCS, depressione, schizofrenia, disturbo ossessivo-compulsivo, dipendenza
Published: 2015

24. Transcranial direct current stimulation for the treatment of post-stroke depression in aphasic patients: a case series

Author: Valiengo, L, Casati, R, Bolognini, N, Lotufo, P, Benseñor, I, Goulart, A, Brunoni, A, Lotufo, PA, Benseñor, IM, Goulart, AC, Brunoni, AR, CASATI, ROBERTA, BOLOGNINI, NADIA, Valiengo, L, Casati, R, Bolognini, N, Lotufo, P, Benseñor, I, Goulart, A, Brunoni, A, Lotufo, PA, Benseñor, IM, Goulart, AC, Brunoni, AR, CASATI, ROBERTA, and BOLOGNINI, NADIA
Abstract: Aphasia is a common consequence of stroke; it is estimated that about two-thirds of aphasic patients will develop depression in the first year after the stroke. Treatment of post-stroke depression (PSD) is challenging due to the adverse effects of pharmacotherapy and difficulties in evaluating clinical outcomes, including aphasia. Transcranial direct current stimulation (tDCS) is a novel treatment that may improve clinical outcomes in the traditionally pharmacotherapy-refractory PSD. Our aim was to evaluate the safety and efficacy of tDCS for patients with PSD and with aphasia. The Stroke Aphasic Depression Questionnaire (SADQ) and the Aphasic Depression Rating Scale (ADRS) were used to evaluate the severity of PSD. The diagnoses of PSD and aphasia were confirmed by a psychiatrist and a speech-language pathologist, respectively. In this open case series, patients (n = 4) received 10 sessions (once a day) of bilateral tDCS to the dorsolateral prefrontal cortex (DLPFC) and two additional sessions after two and four weeks, for a total of 12 sessions. All patients exhibited improvement in depression after tDCS, as indicated by a decrease in SADQ (47.5%) and in ADRS (65.7%). This improvement was maintained four weeks after the treatment. In this preliminary, open-label study conducted in four PSD patients with aphasia, bilateral tDCS over the DLPFC was shown to induce a substantial mood improvement; tDCS was safe and well tolerated by every patient. Stroke patients with aphasia can be safely treated for PSD with tDCS. Sham-controlled studies are necessary to evaluate this technique further.
Published: 2016

25. La stimolazione cerebrale non invasiva nel trattamento dei disturbi psichiatrici

Author: Bolognini, N, Vallar, G, Brunoni, A, Tortella, G, Brunoni, AR, Tortella, G., BOLOGNINI, NADIA, Bolognini, N, Vallar, G, Brunoni, A, Tortella, G, Brunoni, AR, Tortella, G., and BOLOGNINI, NADIA
Published: 2015

26. Regulatory Considerations for the Clinical and Research Use of Transcranial Direct Current Stimulation (tDCS): review and recommendations from an expert panel

Author: Fregni, F, Nitsche, M, Loo, C, Brunoni, A, Marangolo, P, Leite, J, Carvalho, S, Bolognini, N, Caumo, W, Paik, N, Simis, M, Ueda, K, Hamed, E, Luu, P, Tucker, D, Tyler, W, Brunelin, J, Datta, A, Juan, C, Venkatasubramaniam, G, Boggio, P, Bikson, M, Nitsche, MA, Brunoni, AR, Paik, NJ, Tucker, DM, Tyler, WJ, Juan, CH, Boggio, PS, Bikson, M., BOLOGNINI, NADIA, Fregni, F, Nitsche, M, Loo, C, Brunoni, A, Marangolo, P, Leite, J, Carvalho, S, Bolognini, N, Caumo, W, Paik, N, Simis, M, Ueda, K, Hamed, E, Luu, P, Tucker, D, Tyler, W, Brunelin, J, Datta, A, Juan, C, Venkatasubramaniam, G, Boggio, P, Bikson, M, Nitsche, MA, Brunoni, AR, Paik, NJ, Tucker, DM, Tyler, WJ, Juan, CH, Boggio, PS, Bikson, M., and BOLOGNINI, NADIA
Abstract: The field of transcranial electrical stimulation (tES) has experienced significant growth in the past 15 years. One of the tES techniques leading this increased interest is transcranial direct current stimulation (tDCS). Significant research efforts have been devoted to determining the clinical potential of tDCS in humans. Despite the promising results obtained with tDCS in basic and clinical neuroscience, further progress has been impeded by a lack of clarity on international regulatory pathways. Therefore, a group of research and clinician experts on tDCS were convened to review the research and clinical use of tDCS. This report reviews the regulatory status of tDCS and summarizes the results according to research, off-label, and compassionate use of tDCS in the following countries: Australia, Brazil, France, Germany, India, Iran, Italy, Portugal, South Korea, Taiwan, and the US. Research use, off label treatment, and compassionate use of tDCS are employed in most of the countries reviewed in this study. It is critical that a global or local effort is organized to pursue definite evidence to either approve and regulate or restrict the use of tDCS in clinical practice on the basis of adequate randomized controlled treatment trials.
Published: 2015

27. Clinical Research with Transcranial Direct Current Stimulation (tDCS): Challenges and Future Directions

Author: Brunoni, A, Nitsche, M, Bolognini, N, Bikson, M, Wagner, T, Merabet, L, Edwards, D, Valero Cabre, A, Rotenberg, A, Pascual Leone, A, Ferrucci, R, Priori, A, Boggio, P, Fregni, F, Brunoni, AR, Nitsche, MA, BOLOGNINI, NADIA, Edwards, DJ, Boggio, PS, Fregni, F., Brunoni, A, Nitsche, M, Bolognini, N, Bikson, M, Wagner, T, Merabet, L, Edwards, D, Valero Cabre, A, Rotenberg, A, Pascual Leone, A, Ferrucci, R, Priori, A, Boggio, P, Fregni, F, Brunoni, AR, Nitsche, MA, BOLOGNINI, NADIA, Edwards, DJ, Boggio, PS, and Fregni, F.
Abstract: Background: Transcranial direct current stimulation (tDCS) is a neuromodulatory technique that delivers low-intensity, direct current to cortical areas facilitating or inhibiting spontaneous neuronal activity. In the past 10 years, tDCS physiologic mechanisms of action have been intensively investigated giving support for the investigation of its applications in clinical neuropsychiatry and rehabilitation. However, new methodologic, ethical, and regulatory issues emerge when translating the findings of preclinical and phase I studies into phase II and III clinical studies. The aim of this comprehensive review is to discuss the key challenges of this process and possible methods to address them. Methods: We convened a workgroup of researchers in the field to review, discuss, and provide updates and key challenges of tDCS use in clinical research. Main Findings/Discussion: We reviewed several basic and clinical studies in the field and identified potential limitations, taking into account the particularities of the technique. We review and discuss the findings into four topics: (1) mechanisms of action of tDCS, parameters of use and computer-based human brain modeling investigating electric current fields and magnitude induced by tDCS; (2) methodologic aspects related to the clinical research of tDCS as divided according to study phase (ie, preclinical, phase I, phase II, and phase III studies); (3) ethical and regulatory concerns; and (4) future directions regarding novel approaches, novel devices, and future studies involving tDCS. Finally, we propose some alternative methods to facilitate clinical research on tDCS. © 2012 Elsevier Inc. All rights reserved.
Published: 2012

28. Clinical predictors associated with duration of repetitive transcranial magnetic stimulation treatment for remission in bipolar depression: a naturalistic study.

Author: Cohen RB, Brunoni AR, Boggio PS, and Fregni F
Abstract: Repetitive transcranial magnetic stimulation (rTMS) has been widely tested and shown to be effective for unipolar depression. Although it has also been investigated for bipolar depression (BD), there are only few rTMS studies with BD. Here, we investigated 56 patients with BD who received rTMS treatment until remission (defined as Hamilton Depression Rating Scores 15 rTMS sessions). Age, refractoriness, number of prior depressive episodes, and severe depression at baseline were associated with a longer rTMS treatment. In the multivariate analysis, refractoriness (likelihood ratio (LR) = 4.33; p < 0.01) and baseline severity (LR = 0.18, p < 0.01) remained significant predictors. Our preliminary study showed that, in remitted patients, refractoriness and severity of index episode are associated with the need of a longer rTMS treatment; providing preliminary evidence of important factors associated with rTMS parameters adjustment. [ABSTRACT FROM AUTHOR]
Published: 2010
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29. Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020

Author: Dana Bryazka, Marissa B Reitsma, Max G Griswold, Kalkidan Hassen Abate, Cristiana Abbafati, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Amir Abdoli, Mohammad Abdollahi, Abu Yousuf Md Abdullah, E S Abhilash, Eman Abu-Gharbieh, Juan Manuel Acuna, Giovanni Addolorato, Oladimeji M Adebayo, Victor Adekanmbi, Kishor Adhikari, Sangeet Adhikari, Qorinah Estiningtyas Sakilah Adnani, Saira Afzal, Wubetu Yimam Agegnehu, Manik Aggarwal, Bright Opoku Ahinkorah, Araz Ramazan Ahmad, Sajjad Ahmad, Tauseef Ahmad, Ali Ahmadi, Sepideh Ahmadi, Haroon Ahmed, Tarik Ahmed Rashid, Chisom Joyqueenet Akunna, Hanadi Al Hamad, Md Zakiul Alam, Dejene Tsegaye Alem, Kefyalew Addis Alene, Yousef Alimohamadi, Atiyeh Alizadeh, Kasim Allel, Jordi Alonso, Saba Alvand, Nelson Alvis-Guzman, Firehiwot Amare, Edward Kwabena Ameyaw, Sohrab Amiri, Robert Ancuceanu, Jason A Anderson, Catalina Liliana Andrei, Tudorel Andrei, Jalal Arabloo, Muhammad Arshad, Anton A Artamonov, Zahra Aryan, Malke Asaad, Mulusew A Asemahagn, Thomas Astell-Burt, Seyyed Shamsadin Athari, Desta Debalkie Atnafu, Prince Atorkey, Alok Atreya, Floriane Ausloos, Marcel Ausloos, Getinet Ayano, Martin Amogre ayanore Ayanore, Olatunde O Ayinde, Jose L Ayuso-Mateos, Sina Azadnajafabad, Melkalem Mamuye Azanaw, Mohammadreza Azangou-Khyavy, Amirhossein Azari Jafari, Ahmed Y Azzam, Ashish D Badiye, Nasser Bagheri, Sara Bagherieh, Mohan Bairwa, Shankar M Bakkannavar, Ravleen Kaur Bakshi, Awraris Hailu Balchut/Bilchut, Till Winfried Bärnighausen, Fabio Barra, Amadou Barrow, Pritish Baskaran, Luis Belo, Derrick A Bennett, Isabela M Benseñor, Akshaya Srikanth Bhagavathula, Neeraj Bhala, Ashish Bhalla, Nikha Bhardwaj, Pankaj Bhardwaj, Sonu Bhaskar, Krittika Bhattacharyya, Vijayalakshmi S Bhojaraja, Bagas Suryo Bintoro, Elena A Elena Blokhina, Belay Boda Abule Bodicha, Archith Boloor, Cristina Bosetti, Dejana Braithwaite, Hermann Brenner, Nikolay Ivanovich Briko, Andre R Brunoni, Zahid A Butt, Chao Cao, Yin Cao, Rosario Cárdenas, Andre F Carvalho, Márcia Carvalho, Joao Mauricio Castaldelli-Maia, Giulio Castelpietra, Luis F S Castro-de-Araujo, Maria Sofia Cattaruzza, Promit Ananyo Chakraborty, Jaykaran Charan, Vijay Kumar Chattu, Akhilanand Chaurasia, Nicolas Cherbuin, Dinh-Toi Chu, Nandita Chudal, Sheng-Chia Chung, Chuchu Churko, Liliana G Ciobanu, Massimo Cirillo, Rafael M Claro, Simona Costanzo, Richard G Cowden, Michael H Criqui, Natália Cruz-Martins, Garland T Culbreth, Berihun Assefa Dachew, Omid Dadras, Xiaochen Dai, Giovanni Damiani, Lalit Dandona, Rakhi Dandona, Beniam Darge Daniel, Anna Danielewicz, Jiregna Darega Gela, Kairat Davletov, Jacyra Azevedo Paiva de Araujo, Antonio Reis de Sá-Junior, Sisay Abebe Debela, Azizallah Dehghan, Andreas K Demetriades, Meseret Derbew Molla, Rupak Desai, Abebaw Alemayehu Desta, Diana Dias da Silva, Daniel Diaz, Lankamo Ena Digesa, Mengistie Diress, Milad Dodangeh, Deepa Dongarwar, Fariba Dorostkar, Haneil Larson Dsouza, Bereket Duko, Bruce B Duncan, Kristina Edvardsson, Michael Ekholuenetale, Frank J Elgar, Muhammed Elhadi, Mohamed A Elmonem, Aman Yesuf Endries, Sharareh Eskandarieh, Azin Etemadimanesh, Adeniyi Francis Fagbamigbe, Ildar Ravisovich Fakhradiyev, Fatemeh Farahmand, Carla Sofia e Sá Farinha, Andre Faro, Farshad Farzadfar, Ali Fatehizadeh, Nelsensius Klau Fauk, Valery L Feigin, Rachel Feldman, Xiaoqi Feng, Zinabu Fentaw, Simone Ferrero, Lorenzo Ferro Desideri, Irina Filip, Florian Fischer, Joel Msafiri Francis, Richard Charles Franklin, Peter Andras Gaal, Mohamed M Gad, Silvano Gallus, Fabio Galvano, Balasankar Ganesan, Tushar Garg, Mesfin Gebrehiwot Damtew Gebrehiwot, Teferi Gebru Gebremeskel, Mathewos Alemu Gebremichael, Tadele Regasa Gemechu, Lemma Getacher, Motuma Erena Getachew, Abera Getachew Obsa, Asmare Getie, Amir Ghaderi, Mansour Ghafourifard, Alireza Ghajar, Seyyed-Hadi Ghamari, Lilian A Ghandour, Mohammad Ghasemi Nour, Ahmad Ghashghaee, Sherief Ghozy, Franklin N Glozah, Ekaterina Vladimirovna Glushkova, Justyna Godos, Amit Goel, Salime Goharinezhad, Mahaveer Golechha, Pouya Goleij, Mohamad Golitaleb, Felix Greaves, Michal Grivna, Giuseppe Grosso, Temesgen Worku Gudayu, Bhawna Gupta, Rajeev Gupta, Sapna Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Nima Hafezi-Nejad, Arvin Haj-Mirzaian, Brian J Hall, Rabih Halwani, Tiilahun Beyene Handiso, Graeme J Hankey, Sanam Hariri, Josep Maria Haro, Ahmed I Hasaballah, Hossein Hassanian-Moghaddam, Simon I Hay, Khezar Hayat, Golnaz Heidari, Mohammad Heidari, Delia Hendrie, Claudiu Herteliu, Demisu Zenbaba Heyi, Kamal Hezam, Mbuzeleni Mbuzeleni Hlongwa, Ramesh Holla, Md Mahbub Hossain, Sahadat Hossain, Seyed Kianoosh Hosseini, Mehdi hosseinzadeh, Mihaela Hostiuc, Sorin Hostiuc, Guoqing Hu, Junjie Huang, Salman Hussain, Segun Emmanuel Ibitoye, Irena M Ilic, Milena D Ilic, Mustapha Immurana, Lalu Muhammad Irham, M Mofizul Islam, Rakibul M Islam, Sheikh Mohammed Shariful Islam, Hiroyasu Iso, Ramaiah Itumalla, Masao Iwagami, Roxana Jabbarinejad, Louis Jacob, Mihajlo Jakovljevic, Zahra Jamalpoor, Elham Jamshidi, Sathish Kumar Jayapal, Umesh Umesh Jayarajah, Ranil Jayawardena, Rime Jebai, Seyed Ali Jeddi, Alelign Tasew Jema, Ravi Prakash Jha, Har Ashish Jindal, Jost B Jonas, Tamas Joo, Nitin Joseph, Farahnaz Joukar, Jacek Jerzy Jozwiak, Mikk Jürisson, Ali Kabir, Robel Hussen Kabthymer, Bhushan Dattatray Kamble, Himal Kandel, Girum Gebremeskel Kanno, Neeti Kapoor, Ibraheem M Karaye, Salah Eddin Karimi, Bekalu Getnet Kassa, Rimple Jeet Kaur, Gbenga A Kayode, Mohammad Keykhaei, Himanshu Khajuria, Rovshan Khalilov, Imteyaz A Khan, Moien AB Khan, Hanna Kim, Jihee Kim, Min Seo Kim, Ruth W Kimokoti, Mika Kivimäki, Vitalii Klymchuk, Ann Kristin Skrindo Knudsen, Ali-Asghar Kolahi, Vladimir Andreevich Korshunov, Ai Koyanagi, Kewal Krishan, Yuvaraj Krishnamoorthy, G Anil Kumar, Narinder Kumar, Nithin Kumar, Ben Lacey, Tea Lallukka, Savita Lasrado, Jerrald Lau, Sang-woong Lee, Wei-Chen Lee, Yo Han Lee, Lee-Ling Lim, Stephen S Lim, Stany W Lobo, Platon D Lopukhov, Stefan Lorkowski, Rafael Lozano, Giancarlo Lucchetti, Farzan Madadizadeh, Áurea M Madureira-Carvalho, Soleiman Mahjoub, Ata Mahmoodpoor, Rashidul Alam Mahumud, Alaa Makki, Mohammad-Reza Malekpour, Narayana Manjunatha, Borhan Mansouri, Mohammad Ali Mansournia, Jose Martinez-Raga, Francisco A Martinez-Villa, Richard Matzopoulos, Pallab K Maulik, Mahsa Mayeli, John J McGrath, Jitendra Kumar Meena, Entezar Mehrabi Nasab, Ritesh G Menezes, Gert B M Mensink, Alexios-Fotios A Mentis, Atte Meretoja, Bedasa Taye Merga, Tomislav Mestrovic, Junmei Miao Jonasson, Bartosz Miazgowski, Ana Carolina Micheletti Gomide Nogueira de Sá, Ted R Miller, GK Mini, Andreea Mirica, Antonio Mirijello, Seyyedmohammadsadeq Mirmoeeni, Erkin M Mirrakhimov, Sanjeev Misra, Babak Moazen, Maryam Mobarakabadi, Marcello Moccia, Yousef Mohammad, Esmaeil Mohammadi, Abdollah Mohammadian-Hafshejani, Teroj Abdulrahman Mohammed, Nagabhishek Moka, Ali H Mokdad, Sara Momtazmanesh, Yousef Moradi, Ebrahim Mostafavi, Sumaira Mubarik, Erin C Mullany, Beemnet Tekabe Mulugeta, Efrén Murillo-Zamora, Christopher J L Murray, Julius C Mwita, Mohsen Naghavi, Mukhammad David Naimzada, Vinay Nangia, Biswa Prakash Nayak, Ionut Negoi, Ruxandra Irina Negoi, Seyed Aria Nejadghaderi, Samata Nepal, Sudan Prasad Prasad Neupane, Sandhya Neupane Kandel, Yeshambel T Nigatu, Ali Nowroozi, Khan M Nuruzzaman, Chimezie Igwegbe Nzoputam, Kehinde O Obamiro, Felix Akpojene Ogbo, Ayodipupo Sikiru Oguntade, Hassan Okati-Aliabad, Babayemi Oluwaseun Olakunde, Gláucia Maria Moraes Oliveira, Ahmed Omar Bali, Emad Omer, Doris V Ortega-Altamirano, Adrian Otoiu, Stanislav S Otstavnov, Bilcha Oumer, Mahesh P A, Alicia Padron-Monedero, Raffaele Palladino, Adrian Pana, Songhomitra Panda-Jonas, Anamika Pandey, Ashok Pandey, Shahina Pardhan, Tarang Parekh, Eun-Kee Park, Charles D H Parry, Fatemeh Pashazadeh Kan, Jay Patel, Siddhartha Pati, George C Patton, Uttam Paudel, Shrikant Pawar, Amy E Peden, Ionela-Roxana Petcu, Michael R Phillips, Marina Pinheiro, Evgenii Plotnikov, Pranil Man Singh Pradhan, Akila Prashant, Jianchao Quan, Amir Radfar, Alireza Rafiei, Pankaja Raghav Raghav, Vafa Rahimi-Movaghar, Azizur Rahman, Md Mosfequr Rahman, Mosiur Rahman, Amir Masoud Rahmani, Shayan Rahmani, Chhabi Lal Ranabhat, Priyanga Ranasinghe, Chythra R Rao, Drona Prakash Rasali, Mohammad-Mahdi Rashidi, Zubair Ahmed Ratan, David Laith Rawaf, Salman Rawaf, Lal Rawal, Andre M N Renzaho, Negar Rezaei, Saeid Rezaei, Mohsen Rezaeian, Seyed Mohammad Riahi, Esperanza Romero-Rodríguez, Gregory A Roth, Godfrey M Rwegerera, Basema Saddik, Erfan Sadeghi, Reihaneh Sadeghian, Umar Saeed, Farhad Saeedi, Rajesh Sagar, Amirhossein Sahebkar, Harihar Sahoo, Mohammad Ali Sahraian, KM Saif-Ur-Rahman, Sarvenaz Salahi, Hamideh Salimzadeh, Abdallah M Samy, Francesco Sanmarchi, Milena M Santric-Milicevic, Yaser Sarikhani, Brijesh Sathian, Ganesh Kumar Saya, Mehdi Sayyah, Maria Inês Schmidt, Aletta Elisabeth Schutte, Michaël Schwarzinger, David C Schwebel, Abdul-Aziz Seidu, Nachimuthu Senthil Kumar, SeyedAhmad SeyedAlinaghi, Allen Seylani, Feng Sha, Sarvenaz Shahin, Fariba Shahraki-Sanavi, Shayan Shahrokhi, Masood Ali Shaikh, Elaheh Shaker, Murad Ziyaudinovich Shakhmardanov, Mehran Shams-Beyranvand, Sara Sheikhbahaei, Rahim Ali Sheikhi, Adithi Shetty, Jeevan K Shetty, Damtew Solomon Shiferaw, Mika Shigematsu, Rahman Shiri, Reza Shirkoohi, K M Shivakumar, Velizar Shivarov, Parnian Shobeiri, Roman Shrestha, Negussie Boti Sidemo, Inga Dora Sigfusdottir, Diego Augusto Santos Silva, Natacha Torres da Silva, Jasvinder A Singh, Surjit Singh, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, David A Sleet, Marco Solmi, YONATAN SOLOMON, Suhang Song, Yimeng Song, Reed J D Sorensen, Sergey Soshnikov, Ireneous N Soyiri, Dan J Stein, Sonu Hangma Subba, Miklós Szócska, Rafael Tabarés-Seisdedos, Takahiro Tabuchi, Majid Taheri, Ker-Kan Tan, Minale Tareke, Elvis Enowbeyang Tarkang, Gebremaryam Temesgen, Worku Animaw Temesgen, Mohamad-Hani Temsah, Kavumpurathu Raman Thankappan, Rekha Thapar, Nikhil Kenny Thomas, Chalachew Tiruneh, Jovana Todorovic, Marco Torrado, Mathilde Touvier, Marcos Roberto Tovani-Palone, Mai Thi Ngoc Tran, Sergi Trias-Llimós, Jaya Prasad Tripathy, Alireza Vakilian, Rohollah Valizadeh, Mehdi Varmaghani, Shoban Babu Varthya, Tommi Juhani Vasankari, Theo Vos, Birhanu Wagaye, Yasir Waheed, Mandaras Tariku Walde, Cong Wang, Yanzhong Wang, Yuan-Pang Wang, Ronny Westerman, Nuwan Darshana Wickramasinghe, Abate Dargie Wubetu, Suowen Xu, Kazumasa Yamagishi, Lin Yang, Gesila Endashaw E Yesera, Arzu Yigit, Vahit Yiğit, Ayenew Engida Ayenew Engida Yimaw, Dong Keon Yon, Naohiro Yonemoto, Chuanhua Yu, Siddhesh Zadey, Mazyar Zahir, Iman Zare, Mikhail Sergeevich Zastrozhin, Anasthasia Zastrozhina, Zhi-Jiang Zhang, Chenwen Zhong, Mohammad Zmaili, Yves Miel H Zuniga, Emmanuela Gakidou, University of St Andrews. School of Medicine, University of St Andrews. Population and Behavioural Science Division, Department of Public Health, University of Helsinki, Hjelt Institute (-2014), Helsinki Inequality Initiative (INEQ), Clinicum, Helsinki University Hospital Area, Bill & Melinda Gates Foundation, King Edward Medical University (Pakistán), Alexander von Humboldt Foundation, University of Oxford (Reino Unido), Medical Research Council (Reino Unido), NIH - National Institute of Mental Health (NIMH) (Estados Unidos), Canada Research Chairs, National Health and Medical Research Council (Australia), National Heart Foundation of Australia, Ministry of Education, Science and Technological Development (Serbia), Wellcome Trust, NIH - National Institute on Aging (NIA) (Estados Unidos), Finlands Akademi (Finlandia), Panjab University (India), Federal Ministry of Education & Research (Alemania), National Council for Scientific and Technological Development (Brasil), Danish National Research Foundation, Queensland Centre for Mental Health Research (Australia), South African Medical Research Council, National Natural Science Foundation of China, Charles Sturt University (Australia), Ain Shams University (Egipto), Mizoram University (India), Kasturba Medical College (India), Manipal Academy of Higher Education (India), Coordenação de Aperfeicoamento de Pessoal de Nível Superior (Brasil), Ministerio de Ciencia e Innovación (España), Collaborators, GBD 2020 Alcohol, Bryazka, Dana, Reitsma, Marissa B, Griswold, Max G, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdoli, Amir, Abdollahi, Mohammad, Abdullah, Abu Yousuf Md, Abhilash, E S, Abu-Gharbieh, Eman, Acuna, Juan Manuel, Addolorato, Giovanni, Adebayo, Oladimeji M, Adekanmbi, Victor, Adhikari, Kishor, Adhikari, Sangeet, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Saira, Agegnehu, Wubetu Yimam, Aggarwal, Manik, Ahinkorah, Bright Opoku, Ahmad, Araz Ramazan, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed Rashid, Tarik, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alam, Md Zakiul, Alem, Dejene Tsegaye, Alene, Kefyalew Addi, Alimohamadi, Yousef, Alizadeh, Atiyeh, Allel, Kasim, Alonso, Jordi, Alvand, Saba, Alvis-Guzman, Nelson, Amare, Firehiwot, Ameyaw, Edward Kwabena, Amiri, Sohrab, Ancuceanu, Robert, Anderson, Jason A, Andrei, Catalina Liliana, Andrei, Tudorel, Arabloo, Jalal, Arshad, Muhammad, Artamonov, Anton A, Aryan, Zahra, Asaad, Malke, Asemahagn, Mulusew A, Astell-Burt, Thoma, Athari, Seyyed Shamsadin, Atnafu, Desta Debalkie, Atorkey, Prince, Atreya, Alok, Ausloos, Floriane, Ausloos, Marcel, Ayano, Getinet, Ayanore, Martin Amogre ayanore, Ayinde, Olatunde O, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azanaw, Melkalem Mamuye, Azangou-Khyavy, Mohammadreza, Azari Jafari, Amirhossein, Azzam, Ahmed Y, Badiye, Ashish D, Bagheri, Nasser, Bagherieh, Sara, Bairwa, Mohan, Bakkannavar, Shankar M, Bakshi, Ravleen Kaur, Balchut/bilchut, Awraris Hailu, Bärnighausen, Till Winfried, Barra, Fabio, Barrow, Amadou, Baskaran, Pritish, Belo, Lui, Bennett, Derrick A, Benseñor, Isabela M, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhalla, Ashish, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S, Bintoro, Bagas Suryo, Blokhina, Elena A Elena, Bodicha, Belay Boda Abule, Boloor, Archith, Bosetti, Cristina, Braithwaite, Dejana, Brenner, Hermann, Briko, Nikolay Ivanovich, Brunoni, Andre R, Butt, Zahid A, Cao, Chao, Cao, Yin, Cárdenas, Rosario, Carvalho, Andre F, Carvalho, Márcia, Castaldelli-Maia, Joao Mauricio, Castelpietra, Giulio, Castro-de-Araujo, Luis F S, Cattaruzza, Maria Sofia, Chakraborty, Promit Ananyo, Charan, Jaykaran, Chattu, Vijay Kumar, Chaurasia, Akhilanand, Cherbuin, Nicola, Chu, Dinh-Toi, Chudal, Nandita, Chung, Sheng-Chia, Churko, Chuchu, Ciobanu, Liliana G, Cirillo, Massimo, Claro, Rafael M, Costanzo, Simona, Cowden, Richard G, Criqui, Michael H, Cruz-Martins, Natália, Culbreth, Garland T, Dachew, Berihun Assefa, Dadras, Omid, Dai, Xiaochen, Damiani, Giovanni, Dandona, Lalit, Dandona, Rakhi, Daniel, Beniam Darge, Danielewicz, Anna, Darega Gela, Jiregna, Davletov, Kairat, de Araujo, Jacyra Azevedo Paiva, de Sá-Junior, Antonio Rei, Debela, Sisay Abebe, Dehghan, Azizallah, Demetriades, Andreas K, Derbew Molla, Meseret, Desai, Rupak, Desta, Abebaw Alemayehu, Dias da Silva, Diana, Diaz, Daniel, Digesa, Lankamo Ena, Diress, Mengistie, Dodangeh, Milad, Dongarwar, Deepa, Dorostkar, Fariba, Dsouza, Haneil Larson, Duko, Bereket, Duncan, Bruce B, Edvardsson, Kristina, Ekholuenetale, Michael, Elgar, Frank J, Elhadi, Muhammed, Elmonem, Mohamed A, Endries, Aman Yesuf, Eskandarieh, Sharareh, Etemadimanesh, Azin, Fagbamigbe, Adeniyi Franci, Fakhradiyev, Ildar Ravisovich, Farahmand, Fatemeh, Farinha, Carla Sofia e Sá, Faro, Andre, Farzadfar, Farshad, Fatehizadeh, Ali, Fauk, Nelsensius Klau, Feigin, Valery L, Feldman, Rachel, Feng, Xiaoqi, Fentaw, Zinabu, Ferrero, Simone, Ferro Desideri, Lorenzo, Filip, Irina, Fischer, Florian, Francis, Joel Msafiri, Franklin, Richard Charle, Gaal, Peter Andra, Gad, Mohamed M, Gallus, Silvano, Galvano, Fabio, Ganesan, Balasankar, Garg, Tushar, Gebrehiwot, Mesfin Gebrehiwot Damtew, Gebremeskel, Teferi Gebru, Gebremichael, Mathewos Alemu, Gemechu, Tadele Regasa, Getacher, Lemma, Getachew, Motuma Erena, Getachew Obsa, Abera, Getie, Asmare, Ghaderi, Amir, Ghafourifard, Mansour, Ghajar, Alireza, Ghamari, Seyyed-Hadi, Ghandour, Lilian A, Ghasemi Nour, Mohammad, Ghashghaee, Ahmad, Ghozy, Sherief, Glozah, Franklin N, Glushkova, Ekaterina Vladimirovna, Godos, Justyna, Goel, Amit, Goharinezhad, Salime, Golechha, Mahaveer, Goleij, Pouya, Golitaleb, Mohamad, Greaves, Felix, Grivna, Michal, Grosso, Giuseppe, Gudayu, Temesgen Worku, Gupta, Bhawna, Gupta, Rajeev, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Hafezi-Nejad, Nima, Haj-Mirzaian, Arvin, Hall, Brian J, Halwani, Rabih, Handiso, Tiilahun Beyene, Hankey, Graeme J, Hariri, Sanam, Haro, Josep Maria, Hasaballah, Ahmed I, Hassanian-Moghaddam, Hossein, Hay, Simon I, Hayat, Khezar, Heidari, Golnaz, Heidari, Mohammad, Hendrie, Delia, Herteliu, Claudiu, Heyi, Demisu Zenbaba, Hezam, Kamal, Hlongwa, Mbuzeleni Mbuzeleni, Holla, Ramesh, Hossain, Md Mahbub, Hossain, Sahadat, Hosseini, Seyed Kianoosh, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hu, Guoqing, Huang, Junjie, Hussain, Salman, Ibitoye, Segun Emmanuel, Ilic, Irena M, Ilic, Milena D, Immurana, Mustapha, Irham, Lalu Muhammad, Islam, M Mofizul, Islam, Rakibul M, Islam, Sheikh Mohammed Shariful, Iso, Hiroyasu, Itumalla, Ramaiah, Iwagami, Masao, Jabbarinejad, Roxana, Jacob, Loui, Jakovljevic, Mihajlo, Jamalpoor, Zahra, Jamshidi, Elham, Jayapal, Sathish Kumar, Jayarajah, Umesh Umesh, Jayawardena, Ranil, Jebai, Rime, Jeddi, Seyed Ali, Jema, Alelign Tasew, Jha, Ravi Prakash, Jindal, Har Ashish, Jonas, Jost B, Joo, Tama, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Ali, Kabthymer, Robel Hussen, Kamble, Bhushan Dattatray, Kandel, Himal, Kanno, Girum Gebremeskel, Kapoor, Neeti, Karaye, Ibraheem M, Karimi, Salah Eddin, Kassa, Bekalu Getnet, Kaur, Rimple Jeet, Kayode, Gbenga A, Keykhaei, Mohammad, Khajuria, Himanshu, Khalilov, Rovshan, Khan, Imteyaz A, Khan, Moien AB, Kim, Hanna, Kim, Jihee, Kim, Min Seo, Kimokoti, Ruth W, Kivimäki, Mika, Klymchuk, Vitalii, Knudsen, Ann Kristin Skrindo, Kolahi, Ali-Asghar, Korshunov, Vladimir Andreevich, Koyanagi, Ai, Krishan, Kewal, Krishnamoorthy, Yuvaraj, Kumar, G Anil, Kumar, Narinder, Kumar, Nithin, Lacey, Ben, Lallukka, Tea, Lasrado, Savita, Lau, Jerrald, Lee, Sang-woong, Lee, Wei-Chen, Lee, Yo Han, Lim, Lee-Ling, Lim, Stephen S, Lobo, Stany W, Lopukhov, Platon D, Lorkowski, Stefan, Lozano, Rafael, Lucchetti, Giancarlo, Madadizadeh, Farzan, Madureira-Carvalho, Áurea M, Mahjoub, Soleiman, Mahmoodpoor, Ata, Mahumud, Rashidul Alam, Makki, Alaa, Malekpour, Mohammad-Reza, Manjunatha, Narayana, Mansouri, Borhan, Mansournia, Mohammad Ali, Martinez-Raga, Jose, Martinez-Villa, Francisco A, Matzopoulos, Richard, Maulik, Pallab K, Mayeli, Mahsa, Mcgrath, John J, Meena, Jitendra Kumar, Mehrabi Nasab, Entezar, Menezes, Ritesh G, Mensink, Gert B M, Mentis, Alexios-Fotios A, Meretoja, Atte, Merga, Bedasa Taye, Mestrovic, Tomislav, Miao Jonasson, Junmei, Miazgowski, Bartosz, Micheletti Gomide Nogueira de Sá, Ana Carolina, Miller, Ted R, Mini, Gk, Mirica, Andreea, Mirijello, Antonio, Mirmoeeni, Seyyedmohammadsadeq, Mirrakhimov, Erkin M, Misra, Sanjeev, Moazen, Babak, Mobarakabadi, Maryam, Moccia, Marcello, Mohammad, Yousef, Mohammadi, Esmaeil, Mohammadian-Hafshejani, Abdollah, Mohammed, Teroj Abdulrahman, Moka, Nagabhishek, Mokdad, Ali H, Momtazmanesh, Sara, Moradi, Yousef, Mostafavi, Ebrahim, Mubarik, Sumaira, Mullany, Erin C, Mulugeta, Beemnet Tekabe, Murillo-Zamora, Efrén, Murray, Christopher J L, Mwita, Julius C, Naghavi, Mohsen, Naimzada, Mukhammad David, Nangia, Vinay, Nayak, Biswa Prakash, Negoi, Ionut, Negoi, Ruxandra Irina, Nejadghaderi, Seyed Aria, Nepal, Samata, Neupane, Sudan Prasad Prasad, Neupane Kandel, Sandhya, Nigatu, Yeshambel T, Nowroozi, Ali, Nuruzzaman, Khan M, Nzoputam, Chimezie Igwegbe, Obamiro, Kehinde O, Ogbo, Felix Akpojene, Oguntade, Ayodipupo Sikiru, Okati-Aliabad, Hassan, Olakunde, Babayemi Oluwaseun, Oliveira, Gláucia Maria Morae, Omar Bali, Ahmed, Omer, Emad, Ortega-Altamirano, Doris V, Otoiu, Adrian, Otstavnov, Stanislav S, Oumer, Bilcha, P A, Mahesh, Padron-Monedero, Alicia, Palladino, Raffaele, Pana, Adrian, Panda-Jonas, Songhomitra, Pandey, Anamika, Pandey, Ashok, Pardhan, Shahina, Parekh, Tarang, Park, Eun-Kee, Parry, Charles D H, Pashazadeh Kan, Fatemeh, Patel, Jay, Pati, Siddhartha, Patton, George C, Paudel, Uttam, Pawar, Shrikant, Peden, Amy E, Petcu, Ionela-Roxana, Phillips, Michael R, Pinheiro, Marina, Plotnikov, Evgenii, Pradhan, Pranil Man Singh, Prashant, Akila, Quan, Jianchao, Radfar, Amir, Rafiei, Alireza, Raghav, Pankaja Raghav, Rahimi-Movaghar, Vafa, Rahman, Azizur, Rahman, Md Mosfequr, Rahman, Mosiur, Rahmani, Amir Masoud, Rahmani, Shayan, Ranabhat, Chhabi Lal, Ranasinghe, Priyanga, Rao, Chythra R, Rasali, Drona Prakash, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Renzaho, Andre M N, Rezaei, Negar, Rezaei, Saeid, Rezaeian, Mohsen, Riahi, Seyed Mohammad, Romero-Rodríguez, Esperanza, Roth, Gregory A, Rwegerera, Godfrey M, Saddik, Basema, Sadeghi, Erfan, Sadeghian, Reihaneh, Saeed, Umar, Saeedi, Farhad, Sagar, Rajesh, Sahebkar, Amirhossein, Sahoo, Harihar, Sahraian, Mohammad Ali, Saif-Ur-Rahman, Km, Salahi, Sarvenaz, Salimzadeh, Hamideh, Samy, Abdallah M, Sanmarchi, Francesco, Santric-Milicevic, Milena M, Sarikhani, Yaser, Sathian, Brijesh, Saya, Ganesh Kumar, Sayyah, Mehdi, Schmidt, Maria Inê, Schutte, Aletta Elisabeth, Schwarzinger, Michaël, Schwebel, David C, Seidu, Abdul-Aziz, Senthil Kumar, Nachimuthu, Seyedalinaghi, Seyedahmad, Seylani, Allen, Sha, Feng, Shahin, Sarvenaz, Shahraki-Sanavi, Fariba, Shahrokhi, Shayan, Shaikh, Masood Ali, Shaker, Elaheh, Shakhmardanov, Murad Ziyaudinovich, Shams-Beyranvand, Mehran, Sheikhbahaei, Sara, Sheikhi, Rahim Ali, Shetty, Adithi, Shetty, Jeevan K, Shiferaw, Damtew Solomon, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shivakumar, K M, Shivarov, Velizar, Shobeiri, Parnian, Shrestha, Roman, Sidemo, Negussie Boti, Sigfusdottir, Inga Dora, Silva, Diego Augusto Santo, Silva, Natacha Torres da, Singh, Jasvinder A, Singh, Surjit, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sleet, David A, Solmi, Marco, Solomon, Yonatan, Song, Suhang, Song, Yimeng, Sorensen, Reed J D, Soshnikov, Sergey, Soyiri, Ireneous N, Stein, Dan J, Subba, Sonu Hangma, Szócska, Mikló, Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Taheri, Majid, Tan, Ker-Kan, Tareke, Minale, Tarkang, Elvis Enowbeyang, Temesgen, Gebremaryam, Temesgen, Worku Animaw, Temsah, Mohamad-Hani, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Thomas, Nikhil Kenny, Tiruneh, Chalachew, Todorovic, Jovana, Torrado, Marco, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, Mai Thi Ngoc, Trias-Llimós, Sergi, Tripathy, Jaya Prasad, Vakilian, Alireza, Valizadeh, Rohollah, Varmaghani, Mehdi, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vos, Theo, Wagaye, Birhanu, Waheed, Yasir, Walde, Mandaras Tariku, Wang, Cong, Wang, Yanzhong, Wang, Yuan-Pang, Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Wubetu, Abate Dargie, Xu, Suowen, Yamagishi, Kazumasa, Yang, Lin, Yesera, Gesila Endashaw E, Yigit, Arzu, Yiğit, Vahit, Yimaw, Ayenew Engida Ayenew Engida, Yon, Dong Keon, Yonemoto, Naohiro, Yu, Chuanhua, Zadey, Siddhesh, Zahir, Mazyar, Zare, Iman, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Zhi-Jiang, Zhong, Chenwen, Zmaili, Mohammad, Zuniga, Yves Miel H, Gakidou, Emmanuela, Bryazka, D, Reitsma, Mb, Griswold, Mg, Abate, Kh, Abbafati, C, Kangevari, Ma, Kangevari, Za, Abdoli, A, Abdollahi, M, Abdullah, Am, Abhilash, E, Abu Gharbieh, E, Acuna, Jm, Addolorato, G, Adebayo, Om, Adekanmbi, V, Adhikari, K, Adhikari, S, Adnani, Qe, Afzal, S, Agegnehu, Wy, Aggarwal, M, Ahinkorah, Bo, Ahmad, Ar, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed, H, Rashid, Ta, Akunna, Cj, Al Hamad, H, Alam, Mz, Alem, Dt, Alene, Ka, Alimohamadi, Y, Alizadeh, A, Allel, K, Alonso, J, Alvand, S, Guzman, Na, Amare, F, Ameyaw, Ek, Amiri, S, Ancuceanu, R, Anderson, Ja, Andrei, Cl, Andrei, T, Arabloo, J, Arshad, M, Artamonov, Aa, Aryan, Z, Asaad, M, Asemahagn, Ma, Burt, Ta, Athari, S, Atnafu, Dd, Atorkey, P, Atreya, A, Ausloos, F, Ausloos, M, Ayano, G, Ayanore, Ma, Ayinde, Oo, Mateos, Jla, Azadnajafabad, S, Azanaw, Mm, Khyavy, Ma, Jafari, Aa, Azzam, Ay, Badiye, Ad, Bagheri, N, Bagherieh, S, Bairwa, M, Bakkannavar, Sm, Bakshi, Rk, Balchut, Ah, Null, T, Barra, F, Barrow, A, Baskaran, P, Belo, L, Bennett, Da, Bensenor, Im, Bhagavathula, A, Bhala, N, Bhalla, A, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, V, Bintoro, B, Blokhina, Eae, Bodicha, Bba, Boloor, A, Bosetti, C, Braithwaite, D, Brenner, H, Briko, Ni, Brunoni, Ar, Butt, Za, Cao, C, Cao, Y, Cardenas, R, Carvalho, Af, Carvalho, M, Maia, Jmc, Castelpietra, G, de Araujo, Lfsc, Cattaruzza, M, Chakraborty, Pa, Charan, J, Chattu, Vk, Chaurasia, A, Cherbuin, N, Chu, Dt, Chudal, N, Chung, Sc, Churko, C, Ciobanu, Lg, Cirillo, M, Claro, Rm, Costanzo, S, Cowden, Rg, Criqui, Mh, Martins, Nc, Culbreth, Gt, Dachew, Ba, Dadras, O, Dai, Xc, Damiani, G, Dandona, L, Dandona, R, Daniel, Bd, Danielewicz, A, Gela, Jd, Davletov, K, de Araujo, Jap, de Sa, Ar, Debela, Sa, Dehghan, A, Demetriades, Ak, Molla, Md, Desai, R, Desta, Aa, da Silva, Dd, Diaz, D, Digesa, Le, Diress, M, Dodangeh, M, Dongarwar, D, Dorostkar, F, Dsouza, Hl, Duko, B, Duncan, Bb, Edvardsson, K, Ekholuenetale, M, Elgar, Fj, Elhadi, M, Elmonem, Ma, Endries, Ay, Eskandarieh, S, Etemadimanesh, A, Fagbamigbe, Af, Fakhradiyev, Ir, Farahmand, F, Farinha, Cse, Faro, A, Farzadfar, F, Fatehizadeh, A, Fauk, Nk, Feigin, Vl, Feldman, R, Feng, Xq, Fentaw, Z, Ferrero, S, Desideri, Lf, Filip, I, Fischer, F, Francis, Jm, Franklin, Rc, Gaal, Pa, Gad, Mm, Gallus, S, Galvano, F, Ganesan, B, Garg, T, Gebrehiwot, Mgd, Gebremeskel, Tg, Gebremichael, Ma, Gemechu, Tr, Getacher, L, Getachew, Me, Obsa, Ag, Getie, A, Ghaderi, A, Ghafourifard, M, Ghajar, A, Ghamari, Sh, Ghandour, La, Nour, Mg, Ghashghaee, A, Ghozy, S, Glozah, Fn, Glushkova, Ev, Godos, J, Goel, A, Goharinezhad, S, Golechha, M, Goleij, P, Golitaleb, M, Greaves, F, Grivna, M, Grosso, G, Gudayu, Tw, Gupta, B, Gupta, R, Gupta, S, Gupta, Vb, Gupta, Vk, Nejad, Nh, Mirzaian, Ah, Hall, Bj, Halwani, R, Handiso, Tb, Hankey, Gj, Hariri, S, Haro, Jm, Hasaballah, Ai, Moghaddam, Hh, Hay, Si, Hayat, K, Heidari, G, Heidari, M, Hendrie, D, Herteliu, C, Heyi, Dz, Hezam, K, Hlongwa, Mm, Holla, R, Hossain, Mm, Hossain, S, Hosseini, Sk, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hu, Gq, Huang, Jj, Hussain, S, Ibitoye, Se, Ilic, Im, Ilic, Md, Immurana, M, Irham, Lm, Islam, Mm, Islam, Rm, Islam, Sm, Iso, H, Itumalla, R, Iwagami, M, Jabbarinejad, R, Jacob, L, Jakovljevic, M, Jamalpoor, Z, Jamshidi, E, Jayapal, Sk, Jayarajah, Uu, Jayawardena, R, Jebai, R, Jeddi, Sa, Jema, At, Jha, Rp, Jindal, Ha, Jonas, Jb, Joo, T, Joseph, N, Joukar, F, Jozwiak, Jj, Jurisson, M, Kabir, A, Kabthymer, Rh, Kamble, Bd, Kandel, H, Kanno, Gg, Kapoor, N, Karaye, Im, Karimi, Se, Kassa, Bg, Kaur, Rj, Kayode, Ga, Keykhaei, M, Khajuria, H, Khalilov, R, Khan, Ia, Ab Khan, M, Kim, H, Kim, J, Kim, M, Kimokoti, Rw, Kivimaki, M, Klymchuk, V, Knudsen, Ak, Kolahi, Aa, Korshunov, Va, Koyanagi, A, Krishan, K, Krishnamoorthy, Y, Kumar, Ga, Kumar, N, Ben, Lacey, Lallukka, T, Lasrado, S, Lau, J, Lee, Sw, Lee, Wc, Lee, Yh, Lim, Ll, Lim, S, Lobo, Sw, Lopukhov, Pd, Lorkowski, S, Lozano, R, Lucchetti, G, Madadizadeh, F, Mahjoub, S, Mahmoodpoor, A, Mahumud, Ra, Makki, A, Malekpour, Mr, Manjunatha, N, Mansouri, B, Mansournia, Ma, Raga, Jm, Villa, Fam, Matzopoulos, R, Maulik, Pk, Mayeli, M, Mcgrath, Jj, Meena, Jk, Nasab, Em, Menezes, Rg, Mensink, Gbm, Mentis, Afa, Meretoja, A, Merga, Bt, Mestrovic, T, Jonasson, Jm, Miazgowski, B, de Sa, Acmgn, Miller, Tr, Mini, G, Mirica, A, Mirijello, A, Mirmoeeni, S, Mirrakhimov, Em, Misra, S, Moazen, B, Mobarakabadi, M, Moccia, M, Mohammad, Y, Mohammadi, E, Hafshejani, Am, Mohammed, Ta, Moka, N, Mokdad, Ah, Momtazmanesh, S, Moradi, Y, Mostafavi, E, Mubarik, S, Mullany, Ec, Mulugeta, Bt, Zamora, Em, Murray, Cjl, Mwita, Jc, Naghavi, M, Naimzada, Md, Nangia, V, Nayak, Bp, Negoi, I, Negoi, Ri, Nejadghaderi, Sa, Nepal, S, Neupane, Spp, Kandel, Sn, Nigatu, Yt, Nowroozi, A, Nuruzzaman, Km, Nzoputam, Ci, Obamiro, Ko, Ogbo, Fa, Oguntade, A, Aliabad, Ho, Olakunde, Bo, Oliveira, Gmm, Bali, Ao, Omer, E, Altamirano, Dvo, Otoiu, A, Otstavnov, S, Oumer, B, Mahesh, Pa, Monedero, Ap, Palladino, R, Pana, A, Jonas, Sp, Pandey, A, Pardhan, S, Parekh, T, Park, Ek, Parry, Cdh, Kan, Fp, Patel, J, Pati, S, Patton, Gc, Paudel, U, Pawar, S, Peden, Ae, Petcu, Ir, Phillips, Mr, Pinheiro, M, Plotnikov, E, Pradhan, Pm, Prashant, A, Quan, Jc, Radfar, A, Rafiei, A, Raghav, Pr, Movaghar, Vr, Rahman, A, Rahman, Mm, Rahman, M, Rahmani, Am, Rahmani, S, Ranabhat, Cl, Ranasinghe, P, Rao, Cr, Rasali, Dp, Rashidi, Mm, Ratan, Za, Rawaf, Dl, Rawaf, S, Rawal, L, Renzaho, Amn, Rezaei, N, Rezaei, S, Rezaeian, M, Riahi, Sm, Rodriguez, Er, Roth, Ga, Rwegerera, Gm, Saddik, B, Sadeghi, E, Sadeghian, R, Saeed, U, Saeedi, F, Sagar, R, Sahebkar, A, Sahoo, H, Sahraian, Ma, Rahman, Ksu, Salahi, S, Salimzadeh, H, Samy, Am, Sanmarchi, F, Milicevic, Mm, Sarikhani, Y, Sathian, B, Saya, Gk, Sayyah, M, Schmidt, Mi, Schutte, Ae, Schwarzinger, M, Schwebel, Dc, Seidu, Aa, Seyedalinaghi, S, Seylani, A, Sha, F, Shahin, S, Sanavi, F, Shahrokhi, S, Shaikh, Ma, Shaker, E, Shakhmardanov, Mz, Beyranvand, M, Sheikhbahaei, S, Sheikhi, Ra, Shetty, A, Shetty, Jk, Shiferaw, D, Shigematsu, M, Shiri, R, Shirkoohi, R, Shivakumar, Km, Shivarov, V, Shobeiri, P, Shrestha, R, Sidemo, Nb, Sigfusdottir, Id, Silva, Da, da Silva, Nt, Singh, Ja, Singh, S, Skryabin, Vy, Skryabina, Aa, Sleet, Da, Solmi, M, Solomon, Y, Song, S, Song, Ym, Sorensen, Rjd, Soshnikov, S, Soyiri, In, Stein, Dj, Subba, Sh, Szocska, M, Seisdedos, Rt, Tabuchi, T, Taheri, M, Tan, Kk, Tareke, M, Tarkang, Ee, Temesgen, G, Temesgen, Wa, Temsah, Mh, Thankappan, Kr, Thapar, R, Thomas, Nk, Tiruneh, C, Todorovic, J, Torrado, M, Touvier, M, Palone, Mrt, Tran, Mtn, Llimos, St, Tripathy, Jp, Vakilian, A, Valizadeh, R, Varmaghani, M, Varthya, Sb, Vasankari, Tj, Vos, T, Wagaye, B, Waheed, Y, Walde, Mt, Wang, C, Wang, Yz, Wang, Yp, Westerman, R, Wickramasinghe, Nd, Wubetu, Ad, Xu, S, Yamagishi, K, Yang, L, Yesera, Gee, Yigit, A, Yimaw, Ae, Yon, Dk, Yonemoto, N, Yu, Ch, Zadey, S, Zahir, M, Zare, I, Zastrozhin, M, Zastrozhina, A, Zhang, Zj, Zhong, Cw, Zmaili, M, Zuniga, Ymh, Gakidou, E, Madureira-Carvalho, Am, Ciobanu, LG, Gakidou, Emma, and GBD 2020 Alcohol Collaborators
Subjects: Adult, Male, Alcohol Drinking, CONTROL POLICIES, adult, Child, Preschool, Female, Geography, Global Burden of Disease, Global Health, Humans, Middle Aged, Quality-Adjusted Life Years, Risk Factors, NDAS, ALL-CAUSE, GUIDELINES, GBD 2020 Alcohol Collaborators, COST-EFFECTIVENESS, Medicine, General & Internal, DRINKING, SDG 3 - Good Health and Well-being, RA0421, General & Internal Medicine, Quality-Adjusted Life Year, RA0421 Public health. Hygiene. Preventive Medicine, DRINKERS, Child, Preschool, 11 Medical and Health Sciences, METAANALYSIS, MCC, Science & Technology, global burden of disease, Risk Factor, General Medicine, CANCER, alcohol drinking, AC, 3121 General medicine, internal medicine and other clinical medicine, REDUCED MORTALITY, Life Sciences & Biomedicine, Human
Abstract: Background: The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. Methods: For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15-95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol. Findings: The burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15-39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0-0) and 0·603 (0·400-1·00) standard drinks per day, and the NDE varied between 0·002 (0-0) and 1·75 (0·698-4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0-0·403) to 1·87 (0·500-3·30) standard drinks per day and an NDE that ranged between 0·193 (0-0·900) and 6·94 (3·40-8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3-65·4) were aged 15-39 years and 76·9% (73·0-81·3) were male. Interpretation: There is strong evidence to support recommendations on alcohol consumption varying by age and location. Stronger interventions, particularly those tailored towards younger individuals, are needed to reduce the substantial global health loss attributable to alcohol. Research reported in this publication was supported by the Bill & Melinda Gates Foundation. S Afzal acknowledges the support for intellectual contributions to this manuscript by the Department of Community Medicine and Epidemiology at King Edward Medical University, Lahore, Pakistan. T Bärnighausen was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the German Federal Ministry of Education and Research. L Belo acknowledges support from FCT in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. D Bennett is supported by the UK Medical Research Council Population Health Research Unit at the University of Oxford (Oxford, UK). M Carvalho acknowledges support from FCT in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. L Castro-de-Araujo was funded by the Medical Research Council (UK), Grant no. MR/T03355X/1 and by the National Institute of Mental Health Grant no. R01MH128911. FJ Elgar is supported by the Canada Research Chairs program. F Greaves acknowledges support from the NIHR Applied Research Collaboration for NW London. V K Gupta acknowledges funding support from the National Health and Medical Research Council (NHMRC), Australia. VB Gupta acknowledges funding support from the National Health and Medical Research Council (NHMRC), Australia. C Herteliu is partially supported by a grant from the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. C Herteliu is partially supported by a grant from the Romanian Ministry of Research Innovation and Digitalization, MCID, project number ID-585-CTR-42-PFE-2021. S Hussain was supported by the Operational Programme Research, Development and Education –Project, Postdoc2MUNI “(No. CZ.02.2.69/0.0/0.0/18_053/0016952). S M S Islam is funded by the National Health and Medical Research Council and received funding from the National Heart Foundation of Australia. The Serbian part of this GBD-related contribution has been co-financed through Grant OI 175 014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. M Kivimaki was supported by the Wellcome Trust (221854/Z/20/Z), the UK Medical Research Council (MR/S011676/1), the US National Institute on Aging (R01AG056477), and the Academy of Finland (350426). K Krishan is supported by the UGC Centre of Advanced Study (Phase II), awarded to the Department of Anthropology, Panjab University, Chandigarh, India. B Lacey acknowledges support from the UK Biobank, funded largely by the UK Medical Research Council and Wellcome. S Lorkowski acknowledges institutional support from the Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig (Germany; German Federal Ministry of Education and Research; grant agreement number 01EA1808A). G Lucchetti received a productivity scholarship from the Brazilian National Council for Scientific and Technological Development — CNPq (Level 1D). J McGrath was supported by the Danish National Research Foundation (Niels Bohr Professor). J McGrath is employed by the Queensland Centre for Mental Health Research (Australia), which receives support from the Queensland Health Department. C Parry acknowleges the South African Medical Research Council. A Peden is supported by a National Health and Medical Research Council Emerging Leadership Fellowship (Grant ID: APP2009306). M R Phillips was supported in part by the Global Alliance for Chronic Diseases - National Natural Science Foundation of China (NSFC. No. 81761128031). M Pinheiro acknowledges FCT for funding through program DL 57/2016 – Norma transitória. A Rahman acknowledges the support from the Data Science Research Unit in Charles Sturt University (Bathurst, NSW, Australia). U Saeed would like to acknowledge the International Center of Medical Sciences Research (ICMSR), Islamabad, Pakistan. A M Samy acknowledges support from Ain Shams University (Cairo, Egypt) and the Egyptian Fulbright Mission Program. N Senthil Kumar acknowledges the DBT, New Delhi sponsored Advanced State Level Biotech Hub (BT/NER/143/SP44475/2021), Mizoram University (Aizawl, Mizoram, India) for facilitating this work. F Sha is supported by the Shenzhen Science and Technology Program (Grant No. KQTD20190929172835662). A Shetty acknowledges Kasturba Medical College (Mangalore, India) and Manipal Academy of Higher Education (Manipal, India) for all the academic support. R Shrestha acknowledges a career development award from the National Institutes of Health (K01DA051346). D Silva was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brazil (CAPES)-Finance Code 001 and is supported in part by CNPq - Brazil (309589/2021-5). D Sleet acknowledges partial support from Veritas Management Group, Inc and The Bizzell Group, LLC. S Trias-Llimós acknowledges research funding from the Juan de la Cierva-Formación program of the Spanish Ministry of Science and Innovation (FJC-2019-039314-I). Sí
Published: 2022

30. Evidence-based guidelines and secondary meta-analysis for the use of transcranial direct current stimulation in neurological and psychiatric disorders

Author: Wolnei Caumo, Paola Marangolo, Jerome Brunelin, Ester Miyuki Nakamura-Palacios, Marcel Simis, Marom Bikson, Felipe Fregni, Mirret M. El-Hagrassy, Sandra Carvalho, Daniel San-Juan, Ganesan Venkatasubramanian, Jorge Leite, Andre R. Brunoni, Kevin Pacheco-Barrios, Fregni, F, El-Hagrassy, Mm, Pacheco-Barrios, K, Carvalho, S, Leite, J, Simis, M, Brunelin, J, Nakamura-Palacios, Em, Marangolo, P, Venkatasubramanian, G, San-Juan, D, Caumo, W, Bikson, M, and Brunoni, Ar.
Subjects: medicine.medical_specialty, Evidence-based medicine, AcademicSubjects/MED00415, medicine.medical_treatment, neurological disorders, Pain, Review, Transcranial Direct Current Stimulation, Tourette syndrome, tDCS, 03 medical and health sciences, 0302 clinical medicine, Physical medicine and rehabilitation, Fibromyalgia, Clinical evidence, medicine, Humans, Pharmacology (medical), Pharmacology, Brain Diseases, Evidence-Based Medicine, Transcranial direct-current stimulation, AcademicSubjects/SCI01870, business.industry, Mental Disorders, Clinical study design, medicine.disease, 3. Good health, 030227 psychiatry, Clinical trial, clinical evidence, Psychiatry and Mental health, psychiatric disorders, Schizophrenia, Meta-analysis, Practice Guidelines as Topic, Major depressive disorder, business, Psychiatric disorders, 030217 neurology & neurosurgery, Neurological disorders
Abstract: Background Transcranial direct current stimulation has shown promising clinical results, leading to increased demand for an evidence-based review on its clinical effects. Objective We convened a team of transcranial direct current stimulation experts to conduct a systematic review of clinical trials with more than 1 session of stimulation testing: pain, Parkinson’s disease motor function and cognition, stroke motor function and language, epilepsy, major depressive disorder, obsessive compulsive disorder, Tourette syndrome, schizophrenia, and drug addiction. Methods Experts were asked to conduct this systematic review according to the search methodology from PRISMA guidelines. Recommendations on efficacy were categorized into Levels A (definitely effective), B (probably effective), C (possibly effective), or no recommendation. We assessed risk of bias for all included studies to confirm whether results were driven by potentially biased studies. Results Although most of the clinical trials have been designed as proof-of-concept trials, some of the indications analyzed in this review can be considered as definitely effective (Level A), such as depression, and probably effective (Level B), such as neuropathic pain, fibromyalgia, migraine, post-operative patient-controlled analgesia and pain, Parkinson’s disease (motor and cognition), stroke (motor), epilepsy, schizophrenia, and alcohol addiction. Assessment of bias showed that most of the studies had low risk of biases, and sensitivity analysis for bias did not change these results. Effect sizes vary from 0.01 to 0.70 and were significant in about 8 conditions, with the largest effect size being in postoperative acute pain and smaller in stroke motor recovery (nonsignificant when combined with robotic therapy). Conclusion All recommendations listed here are based on current published PubMed-indexed data. Despite high levels of evidence in some conditions, it must be underscored that effect sizes and duration of effects are often limited; thus, real clinical impact needs to be further determined with different study designs.
Published: 2020

31. Higher ultraprocessed food consumption is associated with depression persistence and higher risk of depression incidence in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

Author: Ferreira NV, Gonçalves NG, Khandpur N, Steele EM, Levy RB, Monteiro C, Goulart A, Brunoni AR, Bacchi P, Lotufo P, Benseñor I, and Suemoto CK
Abstract: Background: Ultraprocessed food (UPF) consumption has been associated with depression risk, but its association with depression persistence is unclear., Objective: The objective of this study was to evaluate the association of UPF consumption with depression persistence and incidence., Design: The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) is a multicenter prospective cohort study with three waves (2008-2010; 2012-2014; 2017-2019). Baseline percentage of energy from UPF, measured using a food frequency questionnaire, was divided into quartiles., Participants/setting: Civil servants aged 35 to 74 years old at baseline were included in ELSA-Brasil. Participants with Parkinson's disease, dementia, stroke history, extreme energy intake, and missing dietary or depression data at baseline were excluded., Main Outcome Measures: Depression was based on the Clinical Interview Schedule-Revised (CIS-R), depression persistence on depression status at each wave and depression incidence on time to first depression diagnosis., Statistical Analyses Performed: Clustering large applications algorithm, multinomial logistic regression, Cox proportional-hazard models, and partition substitution model were performed., Results: Among 13,870 participants free from depression at baseline, 731 (5.3%) had depression after eight years of follow-up. Participants in cluster 1 did not have depression in any wave, in cluster 2 had depression in one wave, and in cluster 3 had persistent depression in two or more waves. Compared to the 1st quartile of UPF consumption, participants in quartiles 2, 3, and 4 had a 1.30 (95%CI=1.29; 1.31), 1.39 (95%CI=1.38; 1.40) and 1.58 (95%CI=1.56; 1.60) higher odds of persistent depression (p=0.019), respectively. Compared to the 1st UPF quartile, participants in quartiles 3 and 4 had a 1.32 (95%CI=1.07; 1.64) and 1.30 (95%CI=1.04; 1.61) higher risk of incident depression (p=0.017), respectively. Substituting 5%, 10%, and 20% of UPF with unprocessed/minimally processed foods and culinary ingredients was associated with a 6%, 11%, and 22% decreased depression incidence, respectively., Conclusion: Higher consumption of UPF at baseline was associated with higher odds of persistent depression and higher risk of incident depression over eight years of follow-up., (Copyright © 2024. Published by Elsevier Inc.)
Published: 2024
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32. Negative life events and depression by gender in the Brazilian Longitudinal Study of Adult Health (ELSA-Brazil).

Author: Silva SV, Santos IS, Lima DB, Goulart AC, Varella AC, Lotufo PA, Brunoni AR, and Bensenor IM
Abstract: Objective: Gender differences may interfere with the association between Negative Life Events (NLEs) and prevalent/incident depression. This study evaluated the effect of gender in this association using data from the ELSA-Brazil cohort., Methods: The authors analyzed 15,088 participants (mean age, 52.1 (9.1), 54.4 % women). NLEs (robbery, hospitalization, death of a close relative, financial hardship, and rupture of a love relationship) were accessed at baseline. Depression was assessed at baseline and follow-ups. The authors built logistic (Odds Ratio [OR], 95 % Confidence Interval [95 % CI]) and Poisson regression models (Relative Risk [RR], [95 % CI]) to evaluate this association., Results: Women reported more NLEs compared to men. The authors found associations between NLEs and prevalent depression: for men, hospitalization (OR = 1.83; 95 % CI 1.16‒2.91), financial hardship (OR = 2.42; 95 % CI 1.69‒3.49), rupture of a love relationship (OR = 2.54; 95 % CI 1.50‒4.29), and any NLE (OR = 2.30; 95 % CI 1.59‒3.35); and for women, robbery (OR = 1.81; 95 % CI 1.31‒2.49), hospitalization (OR = 1.46; 95 % CI 1.11‒1.92), financial hardship (OR = 1.76; 95 % CI 1.43‒2.17), rupture of a love relationship (OR = 1.66; 95 % CI 1.20‒2.32), and any NLE (OR = 1.65; 95 % CI 1.34‒2.04). For incident depression only financial hardship (RR = 2.09; 95 % CI 1.55‒2.83) was associated with depression in men, while, for women, robbery (RR = 1.54; 95 % CI 1.16‒2.04); hospitalization (RR = 1.36; 95 % CI 1.07‒1.74), financial hardship (RR = 1.37; 95 % CI 1.14‒1.65), and any NLE (RR = 1.25; 95 % CI 1.04‒1.49) were associated with incident depression. No association was found between the death of a close relative and prevalent/incident depression., Conclusion: NLEs were associated with depression in men and women, with a higher impact in the latter., Competing Interests: Declaration of competing interest The authors declare no conflicts of interest., (Copyright © 2024 HCFMUSP. Published by Elsevier España, S.L.U. All rights reserved.)
Published: 2024
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33. How can we develop transcranial direct current stimulation into an effective at-home treatment tool for depression?

Author: Vogelmann U, Pilloni G, Brunoni AR, and Charvet L
Subjects: Humans, Home Care Services, Treatment Outcome, Transcranial Direct Current Stimulation methods, Depression therapy
Published: 2024
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34. Collaborative outcomes study on health and functioning during infection times (COH-FIT): Insights on modifiable and non-modifiable risk and protective factors for wellbeing and mental health during the COVID-19 pandemic from multivariable and network analyses.

Author: Solmi M, Thompson T, Cortese S, Estradé A, Agorastos A, Radua J, Dragioti E, Vancampfort D, Thygesen LC, Aschauer H, Schlögelhofer M, Aschauer E, Schneeberger A, Huber CG, Hasler G, Conus P, Cuénod KQD, von Känel R, Arrondo G, Fusar-Poli P, Gorwood P, Llorca PM, Krebs MO, Scanferla E, Kishimoto T, Rabbani G, Skonieczna-Żydecka K, Brambilla P, Favaro A, Takamiya A, Zoccante L, Colizzi M, Bourgin J, Kamiński K, Moghadasin M, Seedat S, Matthews E, Wells J, Vassilopoulou E, Gadelha A, Su KP, Kwon JS, Kim M, Lee TY, Papsuev O, Manková D, Boscutti A, Gerunda C, Saccon D, Righi E, Monaco F, Croatto G, Cereda G, Demurtas J, Brondino N, Veronese N, Enrico P, Politi P, Ciappolino V, Pfennig A, Bechdolf A, Meyer-Lindenberg A, Kahl KG, Domschke K, Bauer M, Koutsouleris N, Winter S, Borgwardt S, Bitter I, Balazs J, Czobor P, Unoka Z, Mavridis D, Tsamakis K, Bozikas VP, Tunvirachaisakul C, Maes M, Rungnirundorn T, Supasitthumrong T, Haque A, Brunoni AR, Costardi CG, Schuch FB, Polanczyk G, Luiz JM, Fonseca L, Aparicio LV, Valvassori SS, Nordentoft M, Vendsborg P, Hoffmann SH, Sehli J, Sartorius N, Heuss S, Guinart D, Hamilton J, Kane J, Rubio J, Sand M, Koyanagi A, Solanes A, Andreu-Bernabeu A, Cáceres ASJ, Arango C, Díaz-Caneja CM, Hidalgo-Mazzei D, Vieta E, Gonzalez-Peñas J, Fortea L, Parellada M, Fullana MA, Verdolini N, Andrlíková E, Janků K, Millan MJ, Honciuc M, Moniuszko-Malinowska A, Łoniewski I, Samochowiec J, Kiszkiel Ł, Marlicz M, Sowa P, Marlicz W, Spies G, Stubbs B, Firth J, Sullivan S, Darcin AE, Aksu H, Dilbaz N, Noyan O, Kitazawa M, Kurokawa S, Tazawa Y, Anselmi A, Cracco C, Machado AI, Estrade N, De Leo D, Curtis J, Berk M, Carvalho AF, Ward P, Teasdale S, Rosenbaum S, Marx W, Horodnic AV, Oprea L, Alexinschi O, Ifteni P, Turliuc S, Ciuhodaru T, Bolos A, Matei V, Nieman DH, Sommer I, van Os J, van Amelsvoort T, Sun CF, Guu TW, Jiao C, Zhang J, Fan J, Zou L, Yu X, Chi X, de Timary P, van Winkel R, Ng B, Peña de León E, Arellano R, Roman R, Sanchez T, Movina L, Morgado P, Brissos S, Aizberg O, Mosina A, Krinitski D, Mugisha J, Sadeghi-Bahmani D, Sheybani F, Sadeghi M, Hadi S, Brand S, Errazuriz A, Crossley N, Ristic DI, López-Jaramillo C, Efthymiou D, Kuttichira P, Kallivayalil RA, Javed A, Afridi MI, James B, Seb-Akahomen OJ, Fiedorowicz J, Daskalakis J, Yatham LN, Yang L, Okasha T, Dahdouh A, Tiihonen J, Shin JI, Lee J, Mhalla A, Gaha L, Brahim T, Altynbekov K, Negay N, Nurmagambetova S, Jamei YA, Weiser M, and Correll CU
Abstract: There is no multi-country/multi-language study testing a-priori multivariable associations between non-modifiable/modifiable factors and validated wellbeing/multidimensional mental health outcomes before/during the COVID-19 pandemic. Moreover, studies during COVID-19 pandemic generally do not report on representative/weighted non-probability samples. The Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT) is a multi-country/multi-language survey conducting multivariable/LASSO-regularized regression models and network analyses to identify modifiable/non-modifiable factors associated with wellbeing (WHO-5)/composite psychopathology (P-score) change. It enrolled general population-representative/weighted-non-probability samples (26/04/2020-19/06/2022). Participants included 121,066 adults (age=42±15.9 years, females=64 %, representative sample=29 %) WHO-5/P-score worsened (SMD=0.53/SMD=0.74), especially initially during the pandemic. We identified 15 modifiable/nine non-modifiable risk and 13 modifiable/three non-modifiable protective factors for WHO-5, 16 modifiable/11 non-modifiable risk and 10 modifiable/six non-modifiable protective factors for P-score. The 12 shared risk/protective factors with highest centrality (network-analysis) were, for non-modifiable factors, country income, ethnicity, age, gender, education, mental disorder history, COVID-19-related restrictions, urbanicity, physical disorder history, household room numbers and green space, and socioeconomic status. For modifiable factors, we identified medications, learning, internet, pet-ownership, working and religion as coping strategies, plus pre-pandemic levels of stress, fear, TV, social media or reading time, and COVID-19 information. In multivariable models, for WHO-5, additional non-modifiable factors with |B|>1 were income loss, COVID-19 deaths. For modifiable factors we identified pre-pandemic levels of social functioning, hobbies, frustration and loneliness, and social interactions as coping strategy. For P-scores, additional non-modifiable/modifiable factors were income loss, pre-pandemic infection fear, and social interactions as coping strategy. COH-FIT identified vulnerable sub-populations and actionable individual/environmental factors to protect well-being/mental health during crisis times. Results inform public health policies, and clinical practice., Competing Interests: Conflict of interest Conflict of interest statements of all authors are detailed in eTable 12., (Copyright © 2024. Published by Elsevier B.V.)
Published: 2024
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35. Trajectories of anxiety, depression, and posttraumatic stress among healthcare workers during the COVID-19 pandemic: one-year monthly follow-up.

Author: Carvalho-Alves MO, Petrilli-Mazon VA, Zuccolo PF, Fatori D, Rocha FMM, Brunoni AR, Polanczyk GV, Miguel EC, Wang YP, and Corchs F
Abstract: Objectives: This study aimed to assess longitudinal patterns of anxiety, depression, and posttraumatic stress symptoms, as well as their predictors, in a reference hospital workforce during the first two waves of the pandemic in Brazil., Methods: Data were collected between July 2020 and June 2021 (N = 1,078). Anxiety, depression, and posttraumatic stress symptoms were assessed using three self-report scales (GAD-7, PHQ-9, IES-R). Predictor analysis included COVID-19-related events, fear of COVID-19, and institutional support. Statistical analysis involved linear mixed models and local polynomial regressions., Results: Anxiety and depression showed a tendency towards increased reactivity, while posttraumatic stress presented a tendency towards reduction with less fluctuation. Predictor analysis showed that higher levels of institutional support were associated with a reduced risk of all mental health outcomes. Conversely, greater fear of COVID-19 was positively associated with all of them., Conclusions: Our findings underscore the importance of allocating enhanced attention and resources to effectively address pressing personal health challenges, emphasizing the significance of organizational support and continuous monitoring of emotional distress., Competing Interests: The authors report no conflicts of interest.
Published: 2024
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36. Anodal transcranial direct-current stimulation for autism spectrum disorder: A promising approach?

Author: Brunoni AR and Santos JM
Subjects: Humans, Child, Autism Spectrum Disorder therapy, Transcranial Direct Current Stimulation methods
Published: 2024
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37. A network meta-analysis of non-invasive brain stimulation interventions for autism spectrum disorder: Evidence from randomized controlled trials.

Author: Chen YB, Lin HY, Wang LJ, Hung KC, Brunoni AR, Chou PH, Tseng PT, Liang CS, Tu YK, Lin PY, Carvalho AF, Hsu CW, and Ni HC
Subjects: Humans, Autism Spectrum Disorder therapy, Autism Spectrum Disorder physiopathology, Transcranial Magnetic Stimulation methods, Randomized Controlled Trials as Topic, Transcranial Direct Current Stimulation methods, Network Meta-Analysis
Abstract: The efficacy and acceptability of various non-invasive brain stimulation (NIBS) interventions for autism spectrum disorder remain unclear. We carried out a systematic review for randomized controlled trials (RCTs) regarding NIBS for reducing autistic symptoms (INPLASY202370003). Sixteen articles (N = 709) met the inclusion criteria for network meta-analysis. Effect sizes were reported as standardized mean differences (SMDs) or odds ratios with 95 % confidence intervals (CIs). Fourteen active NIBS interventions, including transcranial direct current stimulation (tDCS), repetitive transcranial magnetic stimulation, and transcranial pulse stimulation were analyzed. Only anodal tDCS over the left dorsolateral prefrontal cortex paired with cathodal tDCS over an extracephalic location (atDCS_F3 + ctDCS_E) significantly improved autistic symptoms compared to sham controls (SMD = - 1.40, 95 %CIs = - 2.67 to - 0.14). None of the NIBS interventions markedly improved social-communication symptoms or restricted/repetitive behaviors in autistic participants. Moreover, no active NIBS interventions exhibited significant dropout rate differences compared to sham controls, and no serious adverse events were reported for any intervention., Competing Interests: Conflict of interest statement All authors declare no financial interests or potential conflicts of interest regarding the authorship and publication of this article., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Published: 2024
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38. Baseline brain volume predicts home-based transcranial direct current stimulation effects on inattention in adults with attention-deficit/hyperactivity disorder.

Author: Rodrigues da Silva PH, Leffa DT, Luethi MS, Silva RF, Ferrazza CP, Picon FA, Grevet EH, Bau CHD, Rovaris DL, Razza LB, Caumo W, Camprodon JA, Rohde LAP, and Brunoni AR
Subjects: Humans, Male, Female, Adult, Young Adult, Brain diagnostic imaging, Brain physiopathology, Gyrus Cinguli diagnostic imaging, Gyrus Cinguli physiopathology, Dorsolateral Prefrontal Cortex physiology, Dorsolateral Prefrontal Cortex diagnostic imaging, Attention Deficit Disorder with Hyperactivity therapy, Attention Deficit Disorder with Hyperactivity diagnostic imaging, Attention Deficit Disorder with Hyperactivity physiopathology, Attention Deficit Disorder with Hyperactivity pathology, Transcranial Direct Current Stimulation, Magnetic Resonance Imaging
Abstract: Background: Home-based transcranial direct current stimulation (Hb-tDCS) is a non-invasive brain stimulation technique that utilizes low-intensity electric currents delivered via scalp electrodes to modulate brain activity. It holds significant promise for addressing inattention in adults with attention-deficit/hyperactivity disorder (ADHD). However, its effectiveness varies among individuals, and predicting outcomes remains uncertain, partially due to the influence of individual differences in ADHD-related brain anatomy., Methods: We analyzed data from a subsample, composed by twenty-nine adult patients with ADHD, of the Treatment of Inattention Symptoms in Adult Patients with ADHD (TUNED) trial. Fourteen patients underwent active anodal right cathodal left dorsolateral prefrontal cortex (DLPFC) Hb-tDCS for 4 weeks and fifteen received sham-related tDCS intervention. Inattention outcome was evaluated at both baseline and endpoint (4th week). Baseline structural measures of the DLPFC, anterior cingulate cortex (ACC) and subcortical structures, previously associated with ADHD, were quantified. Several linear mixed models, with a three-way interaction between the fixed predictors brain volume or thickness, time, and treatment were calculated. Multiple comparison corrections were applied using the Benjamini-Hochberg method., Results: Baseline volume of the left DLPFC regions middle frontal gyrus (t (25) = 3.33, p-adjusted = 0.045, Cohen's d = 1.33, 95% CI = [0.45, 2.19]), inferior frontal gyrus (orbital part) (t (25) = 3.10, p-adjusted = 0.045, Cohen's d = 1.24, 95% CI = [0.37, 2.08]), and of the left ACC supragenual (t (25) = 3.15, p-adjusted = 0.045, Cohen's d = 1.26, 95% CI = [0.39, 2.11]) presented significant association with the inattentive score improvement only in the active tDCS group. More specifically, the smaller these regions were, the more the symptoms improved following anodal right cathodal left DLPFC Hb-tDCS., Conclusion: Hb-tDCS was associated with greater improvement in brain areas related to attention regulation. Brain MRI can be potentially used to predict clinical response to tDCS in ADHD adults., Competing Interests: Declaration of Competing interest All authors report no conflicts of interest., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
Published: 2024
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39. Posterior insula repetitive transcranial magnetic stimulation for chronic pain in patients with Parkinson disease - pain type matters: A double-blinded randomized sham-controlled trial.

Author: Barboza VR, Kubota GT, da Silva VA, Barbosa LM, Arnaut D, Rodrigues ALL, Galhardoni R, Barbosa ER, Brunoni AR, Teixeira MJ, Cury RG, and de Andrade DC
Subjects: Humans, Female, Male, Middle Aged, Double-Blind Method, Aged, Insular Cortex, Pain Management methods, Adult, Treatment Outcome, Parkinson Disease complications, Parkinson Disease therapy, Parkinson Disease physiopathology, Transcranial Magnetic Stimulation methods, Chronic Pain therapy, Chronic Pain physiopathology
Abstract: Objectives: Altered somatosensory processing in the posterior insula may play a role in chronic pain development and contribute to Parkinson disease (PD)-related pain. Posterior-superior insula (PSI) repetitive transcranial magnetic stimulation (rTMS) has been demonstrated to have analgesic effects among patients with some chronic pain conditions. This study aimed at assessing the efficacy of PSI-rTMS for treating PD-related pain., Methods: This was a double-blinded, randomized, sham-controlled, parallel-arm trial (NCT03504748). People with PD (PwP)-related chronic pain underwent five daily PSI-rTMS sessions for a week, followed by once weekly maintenance stimulations for seven weeks. rTMS was delivered at 10 Hz and 80% of the resting motor threshold. The primary outcome was a ≥ 30% pain intensity reduction at 8 weeks compared to baseline. Functionality, mood, cognitive, motor status, and somatosensory thresholds were also assessed., Results: Twenty-five patients were enrolled. Mean age was 55.2 ± 9.5 years-old, and 56% were female. Nociceptive pain accounted for 60%, and neuropathic and nociplastic for 20% each. No significant difference was found for 30% pain reduction response rates between active (42.7%) and sham groups (14.6%, p = 0.26). Secondary clinical outcomes and sensory thresholds also did not differ significantly. In a post hoc analysis, PwP with nociceptive pain sub-type experienced more pain relief after active (85.7%) compared to sham PSI-rTMS (25%, p = 0.032)., Conclusion: Our preliminary results suggest that different types of PD-related pain may respond differently to treatment, and therefore people with PD may benefit from having PD-related pain well characterized in research trials and in clinical practice., Competing Interests: Declaration of competing interest None., (Copyright © 2024 The Author(s). Published by Elsevier Masson SAS.. All rights reserved.)
Published: 2024
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40. Preoperative Cortical Mapping for Brain Tumor Surgery Using Navigated Transcranial Stimulation: Analysis of Accuracy.

Author: Paiva WS, Fonoff ET, Dos Santos Silva RP, Schiavao L, Brunoni AR, de Almeida CC, and Júnior CC
Abstract: Transcranial magnetic stimulation (TMS) represents a distinctive technique for non-invasive brain stimulation. Recent advancements in image processing have enabled the enhancement of TMS by integrating magnetic resonance imaging (MRI) modalities with TMS via a neuronavigation system. The aim of this study is to assess the efficacy of navigated TMS for cortical mapping in comparison to surgical mapping using direct electrical stimulation (DES). This study involved 30 neurosurgical procedures for tumors located in or adjacent to the precentral gyrus. The DES points were compared with TMS responses based on the original distances of vectorial modules. There was a notable similarity in the points obtained from the two mapping methods. The distances between the geometric centers of TMS and DCS were 4.85 ± 1.89 mm. A strong correlation was identified between these vectorial points (r = 0.901, p < 0.001). The motor threshold in TMS was highest in the motor cortex adjacent to the tumor compared to the normal cortex ( p < 0.001). Patients with deficits exhibited excellent accuracy in both methods. In view of this, TMS demonstrated reliable and precise application in brain mapping, which is a promising method for preoperative functional mapping in motor cortex tumor surgery.
Published: 2024
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41. Does physical activity and inflammation mediate the job stress-headache relationship? A sequential mediation analysis in the ELSA-Brasil study.

Author: Belitardo de Oliveira A, Winter Schytz H, Fernando Prieto Peres M, Peres Mercante JP, Brunoni AR, Wang YP, Carmen B Molina MD, Koji Uchiyama L, Lotufo PA, Højland Jensen R, Benseñor IM, Härter Griep R, and Goulart AC
Subjects: Humans, Male, Female, Brazil epidemiology, Middle Aged, Adult, Cross-Sectional Studies, Longitudinal Studies, Stress, Psychological metabolism, Tension-Type Headache epidemiology, Tension-Type Headache blood, Migraine Disorders epidemiology, Headache epidemiology, Headache metabolism, Aged, Inflammation metabolism, Inflammation blood, C-Reactive Protein metabolism, C-Reactive Protein analysis, Exercise physiology, Biomarkers blood, Mediation Analysis, Occupational Stress epidemiology
Abstract: Background: Evidence indicates that physical activity reduces stress and promote a myriad of health-enhancing effects through anti-inflammatory mechanisms. However, it is unknown whether these mechanisms interfere in the association between psychosocial job stress and headache disorders., Objective: To test whether physical activity and its interplay with the systemic inflammation biomarkers high-sensitivity C-reactive protein (hs-CRP) and acute phase glycoproteins (GlycA) would mediate the associations between job stress and headache disorders., Methods: We cross-sectionally evaluated the baseline data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) regarding job stress (higher demand and lower control and support subscales), migraine and tension-type headache (ICHD-2 criteria), self-reported leisure-time physical activity, and plasma hs-CRP and GlycA levels. Conditional process analyses with a sequential mediation approach were employed to compute path coefficients and 95 % confidence intervals (CI) around the indirect effects of physical activity and biomarkers on the job stress-headache relationship. Separate models were adjusted for sex, age, and depression and anxiety. Further adjustments added BMI smoking status, and socioeconomic factors., Results: In total, 7,644 people were included in the study. The 1-year prevalence of migraine and tension-type headache were 13.1 % and 49.4 %, respectively. In models adjusted for sex, age, anxiety, and depression, the association between job stress (lower job control) and migraine was mediated by physical activity [effect = -0.039 (95 %CI: -0.074, -0.010)] but not hs-CRP or GlycA. TTH was associated with higher job control and lower job demand, which was mediated by the inverse associations between physical activity and GlycA [Job Control: effect = 0.0005 (95 %CI: 0.0001, 0.0010); Job Demand: effect = 0.0003 (95 %CI: 0.0001, 0.0007]. Only the mediating effect of physical activity in the job stress-migraine link remained after further adjustments including socioeconomic factors, BMI, smoking, and the exclusion of major chronic diseases., Conclusion: In the ELSA-Brasil study, physical activity reversed the link between job stress and migraine independently of systemic inflammation, while the LTPA-mediated downregulation of GlycA was associated with lower job stress-related TTH., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)
Published: 2024
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42. Response trajectory to left dorsolateral prefrontal rTMS in major depressive disorder: A systematic review and meta-analysis: Trajectory of rTMS.

Author: Hsu TW, Yeh TC, Kao YC, Thompson T, Brunoni AR, Carvalho AF, Tu YK, Tseng PT, Yu CL, Cheng SL, and Liang CS
Subjects: Humans, Prefrontal Cortex, Randomized Controlled Trials as Topic, Depressive Disorder, Major therapy, Transcranial Magnetic Stimulation methods, Dorsolateral Prefrontal Cortex physiology
Abstract: The depression response trajectory after a course of repetitive transcranial magnetic stimulation(rTMS) remains understudied. We searched for blinded randomized controlled trials(RCTs) that examined conventional rTMS over left dorsolateral prefrontal cortex(DLPFC) for major depressive episodes(MDE). The effect size was calculated as the difference in depression improvement, between active and sham rTMS. We conducted a random-effects dose-response meta-analysis to model the response trajectory from the beginning of rTMS to the post-treatment follow-up phase. The area under curve (AUC) of the first 8-week response trajectory was calculated to compare antidepressant efficacy between different rTMS protocols. We included 40 RCTs(n = 2012). The best-fitting trajectory model exhibited a logarithmic curve(X 2 =17.7, P < 0.001), showing a gradual ascent with tapering off around the 3-4th week mark and maintaining until week 16. The maximum effect size was 6.1(95 %CI: 1.25-10.96) at week 16. The subgroup analyses showed distinct trajectories across different rTMS protocols. Besides, the comparisons of AUC showed that conventional rTMS protocols with more pulse/session group or more total pulses were associated with greater efficacy than those with fewer pulse/session or fewer total pulses, respectively. A course of conventional left DLPFC rTMS could lead to both acute antidepressant effects and sustained after-effects, which were modeled by different rTMS protocols in MDE., Competing Interests: Declaration of competing interest All authors declared no conflict of interest., (Copyright © 2024 Elsevier B.V. All rights reserved.)
Published: 2024
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43. Deconstructing depression by machine learning: the POKAL-PSY study.

Author: Eder J, Pfeiffer L, Wichert SP, Keeser B, Simon MS, Popovic D, Glocker C, Brunoni AR, Schneider A, Gensichen J, Schmitt A, Musil R, and Falkai P
Subjects: Humans, Adult, Female, Male, Prospective Studies, Middle Aged, Machine Learning, Depressive Disorder diagnosis
Abstract: Unipolar depression is a prevalent and disabling condition, often left untreated. In the outpatient setting, general practitioners fail to recognize depression in about 50% of cases mainly due to somatic comorbidities. Given the significant economic, social, and interpersonal impact of depression and its increasing prevalence, there is a need to improve its diagnosis and treatment in outpatient care. Various efforts have been made to isolate individual biological markers for depression to streamline diagnostic and therapeutic approaches. However, the intricate and dynamic interplay between neuroinflammation, metabolic abnormalities, and relevant neurobiological correlates of depression is not yet fully understood. To address this issue, we propose a naturalistic prospective study involving outpatients with unipolar depression, individuals without depression or comorbidities, and healthy controls. In addition to clinical assessments, cardiovascular parameters, metabolic factors, and inflammatory parameters are collected. For analysis we will use conventional statistics as well as machine learning algorithms. We aim to detect relevant participant subgroups by data-driven cluster algorithms and their impact on the subjects' long-term prognosis. The POKAL-PSY study is a subproject of the research network POKAL (Predictors and Clinical Outcomes in Depressive Disorders; GRK 2621)., (© 2023. The Author(s).)
Published: 2024
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44. The effect of age on the relationship between negative life events and current and new depressive episodes: results from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

Author: Silva SV, Santos IS, Lima DB, Goulart AC, Varella AC, Lotufo PA, Brunoni AR, and Bensenor IM
Subjects: Humans, Brazil epidemiology, Middle Aged, Female, Adult, Male, Cross-Sectional Studies, Aged, Longitudinal Studies, Prospective Studies, Age Factors, Hospitalization statistics & numerical data, Depression epidemiology, Depression psychology, Depressive Disorder epidemiology, Depressive Disorder psychology, Financial Stress psychology, Financial Stress epidemiology, Risk Factors, Life Change Events
Abstract: Background: There is scarce data concerning the relationship between negative life events (NLEs)* and current and new depressive episodes by age., Methods: Cross-sectional (baseline) and prospective analyses (4-year/8-year follow-ups) were performed in 15,105 civil servants in 6 cities in Brazil classified according to age strata at baseline: 1st(35-44), 2nd(45-54), 3rd(55-64), and 4th(65-74) years. The independent variable was NLEs in the last year (robbery, hospitalization, death of a relative, financial hardship, and rupture of a love relationship) collected at baseline. The dependent variable was depressive episodes assessed at baseline (current), and 4-year/8-year follow-ups (new). We built logistic (Odds Ratio[OR];95 % Confidence Interval[CI]) in the cross-sectional analysis and Poisson regression models (Relative Risk[RR], [CI]) in the prospective analysis., Results: Robbery, hospitalization, financial hardship, rupture of a relationship were associated with current depressive episodes concentrated in the 35-44 age range, while for new depressive episodes, the association of hospitalization, death of a relative, and financial hardship were concentrated in the 45-54 age stratum. Financial hardship was associated with current depressive episodes in all age-strata: 1st: OR, 2.77(CI, 1.83-4.19); 2nd: OR, 1.71(CI, 1.26-2.34); 3rd: OR, 1.68(CI,1.15-2.46); 4th, OR, 4.07(CI, 1.24-13.34), and new depressive episodes: 1st: RR, 1.45(CI, 1.09-1.93); 2nd RR, 1.46(CI: 1.15-1.84); 3rd: RR, 1.97(CI, 1.38-2.82). Rupture of a relationship was associated only with current depressive episode, while death of a relative only with new depressive episode., Limitation: We cannot rule out the possibility of recall bias, since NLEs` information was self-reported., Conclusion: The association between NLEs with depressive episodes was concentrated in youngers., Competing Interests: Declaration of competing interest None., (Copyright © 2024. Published by Elsevier B.V.)
Published: 2024
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45. Associations between a Brazilian suicide awareness campaign and suicide trends from 2000 to 2019: Joinpoint and regression discontinuity analysis.

Author: Damiano RF, Beiram L, Damiano BBF, Hoffmann MS, Moreira-Almeida A, Rück C, Tavares H, Brunoni AR, Miguel EC, Menezes PR, and Salum GA
Subjects: Humans, Brazil epidemiology, Male, Female, Adult, Middle Aged, Young Adult, Health Promotion, Adolescent, Aged, Suicide statistics & numerical data, Suicide trends, Suicide Prevention
Abstract: Background: Suicide is a global health concern whose rates are soaring in many low-and-middle-income countries. Public awareness campaigns have been implemented in Brazil; however, their impact is uncertain., Methods: This was an ecological study using population data from DATA-SUS, a Brazilian official notification system, selecting only deaths that were voluntarily self-inflicted (CID-10 × 60-X84). We analyzed all available data from 2000 to 2019 to assess trends before and after the national Yellow September (YS) campaign started in 2015. Differences in trends were assessed by Joinpoint Analysis (JA) and Regression Discontinuity Analysis (RDD), unadjusted and adjusted for economic factors., Results: Overall, there was a progressive increase in the rate of relative (per 100,000 inhabitants) number of suicides over time between 2000 and 2019 (57 % increase). The JA detected a change in the slope of the curve representing an acceleration in suicides starting in the year 2015. Adjusted RDD revealed the year that Yellow September started significantly change the slope of the association between time and rates of suicide (p interaction < 0.01), and marginal analysis detected the coefficient increased from 0.07 (95%CI 0.04-0.10) to 0.27 (95%CI -0.07-0.60) suicides/year per 100,000 inhabitants., Limitations: The ecological nature of the manuscript compromises causational implications., Conclusions: We found an increase in suicidal trends in Brazil, against the global trend that coincides with the beginning of a large national awareness campaign. Although we cannot attribute causality, our results reinforce the need of further studies to better understand the role of awareness campaigns in suicide reduction interventions, including potential unintended effects., Competing Interests: Declaration of competing interest Rodolfo Furlan Damiano: Declares no conflict of Interest Loren Beiram: Declares no conflict of Interest Bianca Besteti Fernandes: Declares no conflict of Interest Maurício Scopel Hoffmann: Declares no conflict of Interest Alexander Moreira-Almeida: Declares no conflict of Interest Christian Rück: Declares no conflict of Interest Hermano Tavares: Declares no conflict of Interest André R. Brunoni: Declares no conflict of Interest Euripedes Constantino Miguel: Declares no conflict of Interest Paulo Rossi Menezes: Declares no conflict of Interest Giovanni Abrahão Salum: Declares no conflict of InterestAcknowledgements We acknowledge Daniela Lopes Ângelo for helping to do the first statistical analysis., (Copyright © 2024 Elsevier B.V. All rights reserved.)
Published: 2024
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46. The dose-effect relationship of six stimulation parameters with rTMS over left DLPFC on treatment-resistant depression: A systematic review and meta-analysis.

Author: Hsu TW, Yeh TC, Kao YC, Thompson T, Brunoni AR, Carvalho AF, Hsu CW, Tu YK, and Liang CS
Subjects: Humans, Transcranial Magnetic Stimulation methods, Depressive Disorder, Treatment-Resistant therapy, Dorsolateral Prefrontal Cortex physiology
Abstract: This study aimed to evaluate the association of the six parameters, namely stimulation intensity, stimulation frequency, pulses per session, treatment duration, number of sessions, and total number of pulses with the efficacy of conventional transcranial magnetic stimulation (rTMS) over left dorsolateral prefrontal cortex for patients with treatment-resistant depression (TRD). A random-effects dose-response meta-analysis of blinded randomized controlled trials (RCTs) involving 2391 participants were conducted to examine the dose-effect relationship of six stimulation parameters. Any of the six parameters significantly individually predicted proportion of variance in efficacy: pulses per session (R²=52.7%), treatment duration (R²=51.2%), total sessions (R²=50.9%), frequency (R²=49.6%), total pulses (R²=49.5%), and intensity (R²= 40.4%). Besides, we identified frequency as a potential parameter interacting with the other five parameters, resulting in a significant increase in variance(ΔR 2 ) ranging from 5.0% to 16.7%. Finally, we found that RCTs using frequency > 10 Hz compared to those of 10 Hz showed better dose-effect relationships. We conclude that the six stimulation parameters significantly predict the dose-effect relationship of conventional rTMS on TRD. Besides, higher stimulation frequency, higher stimulation intensity, and adequate number of pulses were associated with treatment efficacy., Competing Interests: Declaration of Competing Interest All authors declared no conflict of interest., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
Published: 2024
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47. Dose-dependent response of prefrontal transcranial direct current stimulation on the heart rate variability: An electric field modeling study.

Author: Razza LB, De Smet S, Cornelis X, Nikolin S, Pulopulos MM, De Raedt R, Brunoni AR, and Vanderhasselt MA
Subjects: Humans, Male, Female, Young Adult, Adult, Double-Blind Method, Autonomic Nervous System physiology, Heart Rate physiology, Transcranial Direct Current Stimulation, Prefrontal Cortex physiology
Abstract: Transcranial direct current stimulation (tDCS) of the prefrontal cortex (PFC) modulates the autonomic nervous system by activating deeper brain areas via top-down pathway. However, effects on the nervous system are heterogeneous and may depend on the amount of current that penetrates. Therefore, we aimed to investigate the variable effects of tDCS on heart rate variability (HRV), a measure of the functional state of the autonomic nervous system. Using three prefrontal tDCS protocols (1.5, 3 mA and sham), we associated the simulated individual electric field (E-field) magnitude in brain regions of interest with the HRV effects. This was a randomized, double-blinded, sham-controlled and within-subject trial, in which healthy young-adult participants received tDCS sessions separated by 2 weeks. The brain regions of interest were the dorsolateral PFC (DLPFC), anterior cingulate cortex, insula and amygdala. Overall, 37 participants were investigated, corresponding to a total of 111 tDCS sessions. The findings suggested that HRV, measured by root mean squared of successive differences (RMSSD) and high-frequency HRV (HF-HRV), were significantly increased by the 3.0 mA tDCS when compared to sham and 1.5 mA. No difference was found between sham and 1.5 mA. E-field analysis showed that all brain regions of interest were associated with the HRV outcomes. However, this significance was associated with the protocol intensity, rather than inter-individual brain structural variability. To conclude, our results suggest a dose-dependent effect of tDCS for HRV. Therefore, further research is warranted to investigate the optimal current dose to modulate HRV., (© 2024 Society for Psychophysiological Research.)
Published: 2024
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48. Efficacy and acceptability of noninvasive brain stimulation for treating posttraumatic stress disorder symptoms: A network meta-analysis of randomized controlled trials.

Author: Tseng PT, Zeng BY, Wang HY, Zeng BS, Liang CS, Chen YB, Stubbs B, Carvalho AF, Brunoni AR, Su KP, Tu YK, Wu YC, Chen TY, Li DJ, Lin PY, Chen YW, Hsu CW, Hung KC, Shiue YL, and Li CT
Subjects: Humans, Patient Acceptance of Health Care, Treatment Outcome, Vagus Nerve Stimulation methods, Network Meta-Analysis, Randomized Controlled Trials as Topic, Stress Disorders, Post-Traumatic therapy, Transcranial Direct Current Stimulation methods, Transcranial Magnetic Stimulation methods
Abstract: Introduction: Despite its high lifetime prevalence rate and the elevated disability caused by posttraumatic stress disorder (PTSD), treatments exhibit modest efficacy. In consideration of the abnormal connectivity between the dorsolateral prefrontal cortex (DLPFC) and amygdala in PTSD, several randomized controlled trials (RCTs) addressing the efficacy of different noninvasive brain stimulation (NIBS) modalities for PTSD management have been undertaken. However, previous RCTs have reported inconsistent results. The current network meta-analysis (NMA) aimed to compare the efficacy and acceptability of various NIBS protocols in PTSD management., Methods: We systematically searched ClinicalKey, Cochrane Central Register of Controlled Trials, Embase, ProQuest, PubMed, ScienceDirect, Web of Science, and ClinicalTrials.gov to identify relevant RCTs. The targeted RCTs was those comparing the efficacy of NIBS interventions, such as transcranial direct current stimulation (tDCS), repetitive transcranial magnetic stimulation (rTMS), and transcutaneous cervical vagal nerve stimulation, in patients with PTSD. The NMA was conducted using a frequentist model. The primary outcomes were changes in the overall severity of PTSD and acceptability (to be specific, rates of dropouts for any reason)., Results: We identified 14 RCTs that enrolled 686 participants. The NMA demonstrated that among the investigated NIBS types, high-frequency rTMS over bilateral DLPFCs was associated with the greatest reduction in overall PTSD severity. Further, in comparison with the sham controls, excitatory stimulation over the right DLPFC with/without excitatory stimulation over left DLPFC were associated with significant reductions in PTSD-related symptoms, including depression and anxiety symptoms, and overall PTSD severity., Conclusions: This NMA demonstrated that excitatory stimulation over the right DLPFC with or without excitatory stimulation over left DLPFC were associated with significant reductions in PTSD-related symptoms., Trial Registration: PROSPERO CRD42023391562., (© 2024 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)
Published: 2024
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49. Increases in functional connectivity between the default mode network and sensorimotor network correlate with symptomatic improvement after transcranial direct current stimulation for obsessive-compulsive disorder.

Author: Echevarria MAN, Batistuzzo MC, Silva RMF, Brunoni AR, Sato JR, Miguel EC, Hoexter MQ, and Shavitt RG
Subjects: Humans, Default Mode Network, Treatment Outcome, Brain diagnostic imaging, Magnetic Resonance Imaging, Transcranial Direct Current Stimulation methods, Obsessive-Compulsive Disorder diagnostic imaging, Obsessive-Compulsive Disorder therapy
Abstract: Background: Non-invasive neuromodulation is a promising intervention for obsessive-compulsive disorder (OCD), although its neurobiological mechanisms of action are still poorly understood. Recent evidence suggests that abnormalities in the connectivity of the default mode network (DMN) and the supplementary motor area (SMA) with other brain regions and networks are involved in OCD pathophysiology. We examined if transcranial direct current stimulation (tDCS) alters these connectivity patterns and if they correlate with symptom improvement in treatment-resistant OCD., Methods: In 23 patients from a larger clinical trial (comparing active tDCS to sham) who underwent pre- and post-treatment MRI scans, we assessed resting-state functional MRI (rs-fMRI) data. The treatment involved 30-minute daily tDCS sessions for four weeks (weekdays only), with the cathode over the SMA and the anode over the left deltoid. We conducted whole-brain connectivity analysis comparing active tDCS-treated to sham-treated patients., Results: We found that active tDCS, but not sham, led to connectivity increasing between the DMN and the bilateral pre/postcentral gyri (p = 0.004, FDR corrected) and temporal-auditory areas plus the SMA (p = 0.028, FDR corrected). Also, symptom improvement was directly associated with connectivity increasing between the left lateral sensorimotor network and the left precuneus (r = 0.589, p = 0.034)., Limitations: Limited sample size (23 participants with resting-state neuroimaging), inability to analyze specific OCD symptom dimensions (e.g., harm, sexual/religious, symmetry/checking, cleaning/contamination)., Conclusions: These data offer novel information concerning functional connectivity changes associated with non-invasive neuromodulation interventions in OCD and can guide new brain stimulation interventions in the framework of personalized interventions., Competing Interests: Declaration of competing interest All authors declare no competing interests., (Copyright © 2024 Elsevier B.V. All rights reserved.)
Published: 2024
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50. The S20 Brazilian Mental Health Report for Building a Just World and a Sustainable Planet: Part II.

Author: Mari JJ, Kapczinski F, Brunoni AR, Gadelha A, Baldez DP, Miguel EC, Scorza FA, Caye A, Quagliato LA, De Boni RB, Salum G, and Nardi AE
Abstract: This is the second part of the Brazilian S20 mental health report. The mental health working group is dedicated to leveraging scientific insights to foster innovation and propose actionable recommendations for implementation in Brazil and participating countries. In addressing the heightened mental health challenges in a post-pandemic world, strategies should encompass several key elements. This second part of the S20 Brazilian Mental Health Report will delve into some of these elements, including: the impact of climate change on mental health, the influence of environmental factors on neurodevelopmental disorders, the intersection of serious mental illness and precision psychiatry, the co-occurrence of physical and mental disorders, advancements in biomarkers for mental disorders, the utilization of digital health in mental healthcare, the implementation of interventional psychiatry, and the design of innovative mental health systems integrating principles of innovation and human rights. Reassessing the treatment settings for psychiatric patients within general hospitals, where their mental health and physical needs are addressed should be prioritized in mental health policy. As the S20 countries prepare for the future, we need principles that stand to advance innovation, uphold human rights, and strive for the highest standards in mental health care., Competing Interests: JJM Honoraria for lectures for Apsen, Janssen, and Abbot. Dr. Kapczinski is a speaker or board member for Daiichi Sankyo, Teva, Abbott, Libbs Johnson & Johnson’s Jansen laboratories. ARB is a consultant for MagVenture, FlowNeuroscience, and SoterixMedical companies. No other conflicts of interest declared concerning the publication of this article.
Published: 2024
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