37 results on '"Duleva, V"'
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2. Study of rs10177833 polymorphism in SLC4A5 gene and salt sensitivity in Bulgarian population
- Author
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Georgieva, Tz, primary, Kuzova, E, additional, Arsova, St, additional, DImbareva, D, additional, Georgieva, R, additional, and Duleva, V, additional
- Published
- 2021
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3. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight
- Author
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Iurilli, M.L.C. Zhou, B. Bennett, J.E. Carrillo-Larco, R.M. Sophiea, M.K. Rodriguez-Martinez, A. Bixby, H. Solomon, B.D. Taddei, C. Danaei, G. Di Cesare, M. Stevens, G.A. Riley, L.M. Savin, S. Cowan, M.J. Bovet, P. Damasceno, A. Chirita-Emandi, A. Hayes, A.J. Ikeda, N. Jackson, R.T. Khang, Y.-H. Laxmaiah, A. Liu, J. Miranda, J.J. Saidi, O. Sebert, S. Sorić, M. Starc, G. Gregg, E.W. Abarca-Gómez, L. Abdeen, Z.A. Abdrakhmanova, S. Ghaffar, S.A. Rahim, H.F.A. Abu-Rmeileh, N.M. Garba, J.A. Acosta-Cazares, B. Adams, R.J. Aekplakorn, W. Afsana, K. Afzal, S. Agdeppa, I.A. Aghazadeh-Attari, J. Aguilar-Salinas, C.A. Agyemang, C. Ahmad, M.H. Ahmad, N.A. Ahmadi, A. Ahmadi, N. Ahmed, S.H. Ahrens, W. Aitmurzaeva, G. Ajlouni, K. Al-Hazzaa, H.M. Al-Lahou, B. Al-Raddadi, R. Alarouj, M. AlBuhairan, F. AlDhukair, S. Ali, M.M. Alkandari, A. Alkerwi, A. Allin, K. Alvarez-Pedrerol, M. Aly, E. Amarapurkar, D.N. Amiri, P. Amougou, N. Amouyel, P. Andersen, L.B. Anderssen, S.A. Ängquist, L. Anjana, R.M. Ansari-Moghaddam, A. Aounallah-Skhiri, H. Araújo, J. Ariansen, I. Aris, T. Arku, R.E. Arlappa, N. Aryal, K.K. Aspelund, T. Assah, F.K. Assunção, M.C.F. Aung, M.S. Auvinen, J. Mária Avdicová Avi, S. Azevedo, A. Azimi-Nezhad, M. Azizi, F. Azmin, M. Babu, B.V. Bæksgaard Jørgensen, M. Baharudin, A. Bahijri, S. Baker, J.L. Balakrishna, N. Bamoshmoosh, M. Banach, M. Bandosz, P. Banegas, J.R. Baran, J. Barbagallo, C.M. Barceló, A. Barkat, A. Barros, A.J.D. Barros, M.V.G. Basit, A. Bastos, J.L.D. Bata, I. Batieha, A.M. Batista, R.L. Battakova, Z. Batyrbek, A. Baur, L.A. Beaglehole, R. Bel-Serrat, S. Belavendra, A. Romdhane, H.B. Benedics, J. Benet, M. Bergh, I.H. Berkinbayev, S. Bernabe-Ortiz, A. Bernotiene, G. Bettiol, H. Bezerra, J. Bhagyalaxmi, A. Bharadwaj, S. Bhargava, S.K. Bhutta, Z.A. Bi, H. Bi, Y. Bia, D. Lele, E.C.B. Bikbov, M.M. Bista, B. Bjelica, D.J. Bjerregaard, P. Bjertness, E. Bjertness, M.B. Björkelund, C. Bloch, K.V. Blokstra, A. Bo, S. Bobak, M. Boddy, L.M. Boehm, B.O. Boeing, H. Boggia, J.G. Bogova, E. Boissonnet, C.P. Bojesen, S.E. Bonaccio, M. Bongard, V. Bonilla-Vargas, A. Bopp, M. Borghs, H. Braeckevelt, L. Braeckman, L. Bragt, M.C.E. Brajkovich, I. Branca, F. Breckenkamp, J. Breda, J. Brenner, H. Brewster, L.M. Brian, G.R. Brinduse, L. Brophy, S. Bruno, G. Bueno-de-Mesquita, H.B. Bugge, A. Buoncristiano, M. Burazeri, G. Burns, C. de León, A.C. Cacciottolo, J. Cai, H. Cama, T. Cameron, C. Camolas, J. Can, G. Candido, A.P.C. Cañete, F. Capanzana, M.V. Capková, N. Capuano, E. Capuano, V. Cardol, M. Cardoso, V.C. Carlsson, A.C. Carmuega, E. Carvalho, J. Casajús, J.A. Casanueva, F.F. Celikcan, E. Censi, L. Cervantes-Loaiza, M. Cesar, J.A. Chamukuttan, S. Chan, A.W. Chan, Q. Chaturvedi, H.K. Chaturvedi, N. Rahim, N.C.A. Chee, M.L. Chen, C.-J. Chen, F. Chen, H. Chen, S. Chen, Z. Cheng, C.-Y. Cheraghian, B. Chetrit, A. Chikova-Iscener, E. Chiolero, A. Chiou, S.-T. Chirlaque, M.-D. Cho, B. Christensen, K. Christofaro, D.G. Chudek, J. Cifkova, R. Cilia, M. Cinteza, E. Claessens, F. Clarke, J. Clays, E. Cohen, E. Concin, H. Confortin, S.C. Cooper, C. Coppinger, T.C. Corpeleijn, E. Costanzo, S. Cottel, D. Cowell, C. Craig, C.L. Crampin, A.C. Crujeiras, A.B. Csilla, S. Cucu, A.M. Cui, L. Cureau, F.V. Czenczek-Lewandowska, E. D’Arrigo, G. d’Orsi, E. Dacica, L. Dal Re Saavedra, M.A. Dallongeville, J. Damsgaard, C.T. Dankner, R. Dantoft, T.M. Dasgupta, P. Dastgiri, S. Dauchet, L. Davletov, K. De Backer, G. De Bacquer, D. de Gaetano, G. De Henauw, S. de Oliveira, P.D. De Ridder, D. De Ridder, K. de Rooij, S.R. De Smedt, D. Deepa, M. Deev, A.D. DeGennaro, V., Jr Dehghan, A. Delisle, H. Delpeuch, F. Demarest, S. Dennison, E. Dereń, K. Deschamps, V. Dhimal, M. Di Castelnuovo, A.F. Dias-da-Costa, J.S. Díaz-Sánchez, M.E. Diaz, A. Dika, Z. Djalalinia, S. Djordjic, V. Do, H.T.P. Dobson, A.J. Donati, M.B. Donfrancesco, C. Donoso, S.P. Döring, A. Dorobantu, M. Dorosty, A.R. Doua, K. Dragano, N. Drygas, W. Duan, J.L. Duante, C.A. Duboz, P. Duda, R.B. Duleva, V. Dulskiene, V. Dumith, S.C. Dushpanova, A. Dzerve, V. Dziankowska-Zaborszczyk, E. Eddie, R. Eftekhar, E. Egbagbe, E.E. Eggertsen, R. Eghtesad, S. Eiben, G. Ekelund, U. El-Khateeb, M. Ati, J.E. Eldemire-Shearer, D. Eliasen, M. Elliott, P. Engle-Stone, R. Enguerran, M. Erasmus, R.T. Erbel, R. Erem, C. Eriksen, L. Eriksson, J.G. Escobedo-de la Peña, J. Eslami, S. Esmaeili, A. Evans, A. Faeh, D. Fakhretdinova, A.A. Fall, C.H. Faramarzi, E. Farjam, M. Sant’Angelo, V.F. Farzadfar, F. Fattahi, M.R. Fawwad, A. Felix-Redondo, F.J. Ferguson, T.S. Fernandes, R.A. Fernández-Bergés, D. Ferrante, D. Ferrao, T. Ferrari, M. Ferrario, M.M. Ferreccio, C. Ferrer, E. Ferrieres, J. Figueiró, T.H. Fijalkowska, A. Fink, G. Fischer, K. Foo, L.H. Forsner, M. Fouad, H.M. Francis, D.K. Maria do Carmo Franco Frikke-Schmidt, R. Frontera, G. Fuchs, F.D. Fuchs, S.C. Fujiati, I.I. Fujita, Y. Fumihiko, M. Furusawa, T. Gaciong, Z. Gafencu, M. Galbarczyk, A. Galenkamp, H. Galeone, D. Galfo, M. Galvano, F. Gao, J. Garcia-de-la-Hera, M. García-Solano, M. Gareta, D. Garnett, S.P. Gaspoz, J.-M. Gasull, M. Gaya, A.C.A. Gaya, A.R. Gazzinelli, A. Gehring, U. Geiger, H. Geleijnse, J.M. Ghanbari, A. Ghasemi, E. Gheorghe-Fronea, O.-F. Giampaoli, S. Gianfagna, F. Gill, T.K. Giovannelli, J. Gironella, G. Giwercman, A. Gkiouras, K. Godos, J. Gogen, S. Goldberg, M. Goldsmith, R.A. Goltzman, D. Gómez, S.F. Gomula, A. da Silva, B.G.C. Gonçalves, H. Gonzalez-Chica, D.A. Gonzalez-Gross, M. González-Leon, M. González-Rivas, J.P. González-Villalpando, C. González-Villalpando, M.-E. Gonzalez, A.R. Gottrand, F. Graça, A.P. Graff-Iversen, S. Grafnetter, D. Grajda, A. Grammatikopoulou, M.G. Gregor, R.D. Grodzicki, T. Grøholt, E.K. Grøntved, A. Grosso, G. Gruden, G. Gu, D. Gualdi-Russo, E. Guallar-Castillón, P. Gualtieri, A. Gudmundsson, E.F. Gudnason, V. Guerrero, R. Guessous, I. Guimaraes, A.L. Gulliford, M.C. Gunnlaugsdottir, J. Gunter, M.J. Guo, X.-H. Guo, Y. Gupta, P.C. Gupta, R. Gureje, O. Gurzkowska, B. Gutiérrez-González, E. Gutierrez, L. Gutzwiller, F. Ha, S. Hadaegh, F. Hadjigeorgiou, C.A. Haghshenas, R. Hakimi, H. Halkjær, J. Hambleton, I.R. Hamzeh, B. Hange, D. Hanif, A.A.M. Hantunen, S. Hao, J. Kumar, R.H. Hashemi-Shahri, S.M. Hassapidou, M. Hata, J. Haugsgjerd, T. He, J. He, Y. He, Y. Heidinger-Felso, R. Heinen, M. Hejgaard, T. Hendriks, M.E. dos Santos Henrique, R. Henriques, A. Cadena, L.H. Herrala, S. Herrera, V.M. Herter-Aeberli, I. Heshmat, R. Hill, A.G. Ho, S.Y. Ho, S.C. Hobbs, M. Holdsworth, M. Homayounfar, R. Homs, C. Hopman, W.M. Horimoto, A.R.V.R. Hormiga, C.M. Horta, B.L. Houti, L. Howitt, C. Htay, T.T. Htet, A.S. Htike, M.M.T. Hu, Y. Huerta, J.M. Huhtaniemi, I.T. Huiart, L. Petrescu, C.H. Huisman, M. Husseini, A. Huu, C.N. Huybrechts, I. Hwalla, N. Hyska, J. Iacoviello, L. Ibarluzea, J.M. Ibrahim, M.M. Wong, N.I. Ikram, M.A. Iotova, V. Irazola, V.E. Ishida, T. Islam, M. Islam, S.M.S. Iwasaki, M. Jacobs, J.M. Jaddou, H.Y. Jafar, T. James, K. Jamil, K.M. Jamrozik, K. Janszky, I. Janus, E. Jarani, J. Jarvelin, M.-R. Jasienska, G. Jelakovic, A. Jelakovic, B. Jennings, G. Jha, A.K. Jiang, C.Q. Jimenez, R.O. Jöckel, K.-H. Joffres, M. Johansson, M. Jokelainen, J.J. Jonas, J.B. Jonnagaddala, J. Jørgensen, T. Joshi, P. Joukar, F. Jovic, D.P. Jóźwiak, J.J. Juolevi, A. Jurak, G. Simina, I.J. Juresa, V. Kaaks, R. Kaducu, F.O. Kafatos, A. Kajantie, E.O. Kalmatayeva, Z. Kalter-Leibovici, O. Kameli, Y. Kampmann, F.B. Kanala, K.R. Kannan, S. Kapantais, E. Karakosta, A. Kårhus, L.L. Karki, K.B. Katibeh, M. Katz, J. Katzmarzyk, P.T. Kauhanen, J. Kaur, P. Kavousi, M. Kazakbaeva, G.M. Keil, U. Boker, L.K. Keinänen-Kiukaanniemi, S. Kelishadi, R. Kelleher, C. Kemper, H.C.G. Kengne, A.P. Keramati, M. Kerimkulova, A. Kersting, M. Key, T. Khader, Y.S. Khalili, D. Khaw, K.-T. Kheiri, B. Kheradmand, M. Khosravi, A. Khouw, I.M.S.L. Kiechl-Kohlendorfer, U. Kiechl, S. Killewo, J. Kim, D.W. Kim, H.C. Kim, J. Kindblom, J.M. Klakk, H. Klimek, M. Klimont, J. Klumbiene, J. Knoflach, M. Koirala, B. Kolle, E. Kolsteren, P. König, J. Korpelainen, R. Korrovits, P. Korzycka, M. Kos, J. Koskinen, S. Kouda, K. Kovacs, V.A. Kowlessur, S. Koziel, S. Kratenova, J. Kratzer, W. Kriemler, S. Kristensen, P.L. Krokstad, S. Kromhout, D. Kruger, H.S. Kubinova, R. Kuciene, R. Kujala, U.M. Kujundzic, E. Kulaga, Z. Kumar, R.K. Kunešová, M. Kurjata, P. Kusuma, Y.S. Kuulasmaa, K. Kyobutungi, C. La, Q.N. Laamiri, F.Z. Laatikainen, T. Lachat, C. Laid, Y. Lam, T.H. Lambrinou, C.-P. Landais, E. Lanska, V. Lappas, G. Larijani, B. Latt, T.S. Lauria, L. Lazo-Porras, M. Le Coroller, G. Bao, K.L.N. Le Port, A. Le, T.D. Lee, J. Lee, J. Lee, P.H. Lehmann, N. Lehtimäki, T. Lemogoum, D. Levitt, N.S. Li, Y. Liivak, M. Lilly, C.L. Lim, W.-Y. Lima-Costa, M.F. Lin, H.-H. Lin, X. Lin, Y.-T. Lind, L. Linneberg, A. Lissner, L. Litwin, M. Liu, L. Lo, W.-C. Loit, H.-M. Long, K.Q. Lopes, L. Lopes, O. Lopez-Garcia, E. Lopez, T. Lotufo, P.A. Lozano, J.E. Lukrafka, J.L. Luksiene, D. Lundqvist, A. Lundqvist, R. Lunet, N. Lunogelo, C. Lustigová, M. Łuszczki, E. Ma, G. Ma, J. Ma, X. Machado-Coelho, G.L.L. Machado-Rodrigues, A.M. Macieira, L.M. Madar, A.A. Maggi, S. Magliano, D.J. Magnacca, S. Magriplis, E. Mahasampath, G. Maire, B. Majer, M. Makdisse, M. Mäki, P. Malekzadeh, F. Malekzadeh, R. Malhotra, R. Rao, K.M. Malyutina, S.K. Maniego, L.V. Manios, Y. Mann, J.I. Mansour-Ghanaei, F. Manzato, E. Margozzini, P. Markaki, A. Markey, O. Ioannidou, E.M. Marques-Vidal, P. Marques, L.P. Marrugat, J. Martin-Prevel, Y. Martin, R. Martorell, R. Martos, E. Maruszczak, K. Marventano, S. Mascarenhas, L.P. Masoodi, S.R. Mathiesen, E.B. Mathur, P. Matijasevich, A. Matsha, T.E. Mavrogianni, C. Mazur, A. Mbanya, J.C.N. McFarlane, S.R. McGarvey, S.T. McKee, M. McLachlan, S. McLean, R.M. McLean, S.B. McNulty, B.A. Benchekor, S.M. Medzioniene, J. Mehdipour, P. Mehlig, K. Mehrparvar, A.H. Meirhaeghe, A. Meisfjord, J. Meisinger, C. Menezes, A.M.B. Menon, G.R. Mensink, G.B.M. Menzano, M.T. Mereke, A. Meshram, I.I. Metspalu, A. Meyer, H.E. Mi, J. Michaelsen, K.F. Michels, N. Mikkel, K. Milkowska, K. Miller, J.C. Minderico, C.S. Mini, G.K. Miquel, J.F. Mirjalili, M.R. Mirkopoulou, D. Mirrakhimov, E. Mišigoj-Durakovic, M. Mistretta, A. Mocanu, V. Modesti, P.A. Moghaddam, S.S. Mohajer, B. Mohamed, M.K. Mohamed, S.F. Mohammad, K. Mohammadi, Z. Mohammadifard, N. Mohammadpourhodki, R. Mohan, V. Mohanna, S. Yusoff, M.F.M. Mohebbi, I. Mohebi, F. Moitry, M. Molbo, D. Møllehave, L.T. Møller, N.C. Molnár, D. Momenan, A. Mondo, C.K. Monroy-Valle, M. Monterrubio-Flores, E. Monyeki, K.D.K. Moon, J.S. Moosazadeh, M. Moreira, L.B. Morejon, A. Moreno, L.A. Morgan, K. Morin, S.N. Mortensen, E.L. Moschonis, G. Mossakowska, M. Mostafa, A. Mota-Pinto, A. Mota, J. Motlagh, M.E. Motta, J. Moura-dos-Santos, M.A. Mridha, M.K. Msyamboza, K.P. Mu, T.T. Muc, M. Mugoša, B. Muiesan, M.L. Mukhtorova, P. Müller-Nurasyid, M. Murphy, N. Mursu, J. Murtagh, E.M. Musa, K.I. Milanovic, S.M. Musil, V. Mustafa, N. Nabipour, I. Naderimagham, S. Nagel, G. Naidu, B.M. Najafi, F. Nakamura, H. Námešná, J. Nang, E.E.K. Nangia, V.B. Nankap, M. Narake, S. Nardone, P. Nauck, M. Neal, W.A. Nejatizadeh, A. Nekkantti, C. Nelis, K. Nelis, L. Nenko, I. Neovius, M. Nervi, F. Nguyen, C.T. Nguyen, N.D. Nguyen, Q.N. Nieto-Martínez, R.E. Nikitin, Y.P. Ning, G. Ninomiya, T. Nishtar, S. Noale, M. Noboa, O.A. Nogueira, H. Norat, T. Nordendahl, M. Nordestgaard, B.G. Noto, D. Nowak-Szczepanska, N. Al Nsour, M. Nuhoglu, I. Nurk, E. O’Neill, T.W. O’Reilly, D. Obreja, G. Ochimana, C. Ochoa-Avilés, A.M. Oda, E. Oh, K. Ohara, K. Ohlsson, C. Ohtsuka, R. Olafsson, O. Olinto, M.T.A. Oliveira, I.O. Omar, M.A. Onat, A. Ong, S.K. Ono, L.M. Ordunez, P. Ornelas, R. Ortiz, A.P. Ortiz, P.J. Osler, M. Osmond, C. Ostojic, S.M. Ostovar, A. Otero, J.A. Overvad, K. Owusu-Dabo, E. Paccaud, F.M. Padez, C. Pagkalos, I. Pahomova, E. de Paiva, K.M. Pajak, A. Palli, D. Palloni, A. Palmieri, L. Pan, W.-H. Panda-Jonas, S. Pandey, A. Panza, F. Papandreou, D. Park, S.-W. Park, S. Parnell, W.R. Parsaeian, M. Pascanu, I.M. Pasquet, P. Patel, N.D. Pecin, I. Pednekar, M.S. Peer, N. Pei, G. Peixoto, S.V. Peltonen, M. Pereira, A.C. Peres, M.A. Pérez-Farinós, N. Pérez, C.M. Peterkova, V. Peters, A. Petersmann, A. Petkeviciene, J. Petrauskiene, A. Pettenuzzo, E. Peykari, N. Pham, S.T. Pichardo, R.N. Pierannunzio, D. Pigeot, I. Pikhart, H. Pilav, A. Pilotto, L. Pistelli, F. Pitakaka, F. Piwonska, A. Pizarro, A.N. Plans-Rubió, P. Poh, B.K. Pohlabeln, H. Pop, R.M. Popovic, S.R. Porta, M. Posch, G. Poudyal, A. Poulimeneas, D. Pouraram, H. Pourfarzi, F. Pourshams, A. Poustchi, H. Pradeepa, R. Price, A.J. Price, J.F. Providencia, R. Puder, J.J. Pudule, I. Puhakka, S.E. Puiu, M. Punab, M. Qasrawi, R.F. Qorbani, M. Bao, T.Q. Radic, I. Radisauskas, R. Rahimikazerooni, S. Rahman, M. Rahman, M. Raitakari, O. Raj, M. Rakhimova, E. Rakhmatulloev, S. Rakovac, I. Rao, S.R. Ramachandran, A. Ramke, J. Ramos, E. Ramos, R. Rampal, L. Rampal, S. Rarra, V. Rascon-Pacheco, R.A. Rasmussen, M. Rech, C.R. Redon, J. Reganit, P.F.M. Regecová, V. Revilla, L. Rezaianzadeh, A. Ribas-Barba, L. Ribeiro, R. Riboli, E. Richter, A. Rigo, F. Rinaldo, N. de Wit, T.F.R. Rito, A. Ritti-Dias, R.M. Rivera, J.A. Robitaille, C. Roccaldo, R. Rodrigues, D. Rodríguez-Artalejo, F. del Cristo Rodriguez-Perez, M. Rodríguez-Villamizar, L.A. Roggenbuck, U. Rojas-Martinez, R. Rojroongwasinkul, N. Romaguera, D. Romeo, E.L. Rosario, R.V. Rosengren, A. Rouse, I. Roy, J.G.R. Rubinstein, A. Rühli, F.J. Ruidavets, J.-B. Ruiz-Betancourt, B.S. Ruiz-Castell, M. Moreno, E.R. Rusakova, I.A. Jonsson, K.R. Russo, P. Rust, P. Rutkowski, M. Sabanayagam, C. Sacchini, E. Sachdev, H.S. Sadjadi, A. Safarpour, A.R. Safiri, S. Saki, N. Salanave, B. Martinez, E.S. Salmerón, D. Salomaa, V. Salonen, J.T. Salvetti, M. Samoutian, M. Sánchez-Abanto, J. Sans, S. Marina, L.S. Santos, D.A. Santos, I.S. Santos, L.C. Santos, M.P. Santos, O. Santos, R. Sanz, S.S. Saramies, J.L. Sardinha, L.B. Sarrafzadegan, N. Sathish, T. Saum, K.-U. Savva, S. Savy, M. Sawada, N. Sbaraini, M. Scazufca, M. Schaan, B.D. Rosario, A.S. Schargrodsky, H. Schienkiewitz, A. Schipf, S. Schmidt, C.O. Schmidt, I.M. Schnohr, P. Schöttker, B. Schramm, S. Schramm, S. Schröder, H. Schultsz, C. Schutte, A.E. Sein, A.A. Selamat, R. Sember, V. Sen, A. Senbanjo, I.O. Sepanlou, S.G. Sequera, V. Serra-Majem, L. Servais, J. Ševcíková, L. Shalnova, S.A. Shamah-Levy, T. Shamshirgaran, M. Shanthirani, C.S. Sharafkhah, M. Sharma, S.K. Shaw, J.E. Shayanrad, A. Shayesteh, A.A. Shengelia, L. Shi, Z. Shibuya, K. Shimizu-Furusawa, H. Shin, D.W. Shirani, M. Shiri, R. Shrestha, N. Si-Ramlee, K. Siani, A. Siantar, R. Sibai, A.M. Silva, A.M. Silva, D.A.S. Simon, M. Simons, J. Simons, L.A. Sjöberg, A. Sjöström, M. Skodje, G. Slowikowska-Hilczer, J. Slusarczyk, P. Smeeth, L. So, H.-K. Soares, F.C. Sobek, G. Sobngwi, E. Sodemann, M. Söderberg, S. Soekatri, M.Y.E. Soemantri, A. Sofat, R. 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Zargar, A.H. Zaw, K.K. Zdrojewski, T. Zejglicova, K. Vrkic, T.Z. Zeng, Y. Zhang, L. Zhang, Z.-Y. Zhao, D. Zhao, M.-H. Zhao, W. Zhen, S. Zheng, W. Zheng, Y. Zholdin, B. Zhou, M. Zhu, D. Zins, M. Zitt, E. Zocalo, Y. Cisneros, J.Z. Zuziak, M. Ezzati, M. Filippi, S. NCD Risk Factor Collaboration (NCD-RisC)
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nutritional and metabolic diseases ,sense organs ,skin and connective tissue diseases - Abstract
From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions. © Copyright.
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- 2021
4. PREVALENCE OF OVERWEIGHT AND OBESITY IN BULGARIAN SCHOOLCHILDREN: COMPARISON OF COLE STANDARDS WITH WHO REFERENCE FOR BODY MASS INDEX: 926 accepted poster
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Petrova, S., Rangelova, L., Konstantinova, M., Duleva, V., and Dimitrov, P.
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- 2012
5. ASSOCIATION BETWEEN BODY MASS INDEX AND WAIST CIRCUMFERENCE IN BULGARIAN CHILDREN AND ADOLESCENTS AGED 6 - 18 YEARS: 886 accepted poster
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Konstantinova, M., Petrova, S., Rangelova, L., Dimitrov, P., Duleva, V., and Bojilova, D.
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- 2012
6. Family environment risk factors for overweight in childhood
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Duleva, V, primary, Chikova-Iscener, E, primary, Rangelova, L, primary, and Dimitrov, P l, primary
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- 2019
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7. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults
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SDG 3 - Good Health and Well-being ,Medicine (all) - Abstract
Made available in DSpace on 2018-11-26T20:04:45Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-12-16 Wellcome Trust AstraZeneca Background Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. Methods We pooled 2416 population-based studies with measurements of height and weight on 128.9 million participants aged 5 years and older, including 31.5 million aged 5-19 years. We used a Bayesian hierarchical model to estimate trends from 1975 to 2016 in 200 countries for mean BMI and for prevalence of BMI in the following categories for children and adolescents aged 5-19 years: more than 2 SD below the median of the WHO growth reference for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity). Findings Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (-0.01 kg/m (2) per decade; 95% credible interval -0.42 to 0.39, posterior probability [PP] of the observed decrease being a true decrease= 0.5098) in eastern Europe to an increase of 1.00 kg/m(2) per decade (0.69-1.35, PP> 0.9999) in central Latin America and an increase of 0.95 kg/m (2) per decade (0.64-1.25, PP> 0.9999) in Polynesia and Micronesia. The range for boys was from a non-significant increase of 0.09 kg/m(2) per decade (-0.33 to 0.49, PP= 0.6926) in eastern Europe to an increase of 0.77 kg/m (2) per decade (0.50-1.06, PP> 0.9999) in Polynesia and Micronesia. Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls. By contrast, the rise in BMI has accelerated in east and south Asia for both sexes, and southeast Asia for boys. Global age-standardised prevalence of obesity increased from 0.7% (0.4-1.2) in 1975 to 5.6% (4.8-6.5) in 2016 in girls, and from 0.9% (0.5-1.3) in 1975 to 7.8% (6.7-9.1) in 2016 in boys; the prevalence of moderate and severe underweight decreased from 9.2% (6.0-12.9) in 1975 to 8.4% (6.8-10.1) in 2016 in girls and from 14.8% (10.4-19.5) in 1975 to 12.4% (10.3-14.5) in 2016 in boys. Prevalence of moderate and severe underweight was highest in India, at 22.7% (16.7-29.6) among girls and 30.7% (23.5-38.0) among boys. Prevalence of obesity was more than 30% in girls in Nauru, the Cook Islands, and Palau; and boys in the Cook Islands, Nauru, Palau, Niue, and American Samoa in 2016. Prevalence of obesity was about 20% or more in several countries in Polynesia and Micronesia, the Middle East and north Africa, the Caribbean, and the USA. In 2016, 75 (44-117) million girls and 117 (70-178) million boys worldwide were moderately or severely underweight. In the same year, 50 (24-89) million girls and 74 (39-125) million boys worldwide were obese. Interpretation The rising trends in children's and adolescents' BMI have plateaued in many high-income countries, albeit at high levels, but have accelerated in parts of Asia, with trends no longer correlated with those of adults. 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Rica Al Quds Univ, Jerusalem, Palestine Ctr Diabet & Endocrine Care, Bengaluru, India Birzeit Univ, Birzeit, Palestine Inst Mexicano Seguro Social, Mexico City, DF, Mexico Int Rice Res Inst, Los Banos, Philippines Univ Adelaide, Adelaide, SA, Australia Mahidol Univ, Salaya, Nakhon Pathom, Thailand BARC, Dhaka, Bangladesh Inst Nacl Ciencias Med & Nutr Salvador Zubiran, Mexico City, DF, Mexico Univ Amsterdam, Amsterdam, Netherlands Noncommun Dis Res Ctr, Tehran, Iran Leibniz Inst Prevent Res & Epidemiol BIPS, Leipzig, Germany Natl Ctr Diabet Endocrinol, Amman, Jordan Kazakh Natl Med Univ, Alma Ata, Kazakhstan King Saud Univ, Riyadh, Saudi Arabia Kuwait Inst Sci Res, Kuwait, Kuwait Minist Hlth, Riyadh, Saudi Arabia King Abdullah Int Med Res Ctr, Riyadh, Saudi Arabia Univ Malaysia Sabah, Kota Kinabalu, Malaysia Luxembourg Inst Hlth, Luxembourg, Luxembourg ISGlobal Ctr Res Environm Epidemol, Barcelona, Spain WHO, Reg Off Eastern Mediterranean, Cairo, Egypt Bombay Hosp & Med Res Ctr, Bombay, Maharashtra, India Lille Univ & Hosp, Lille, France London Sch Hyg & Trop Med, London, England Western Norway Univ App Sci, Bergen, Norway Norwegian Sch Sport Sci, Oslo, Norway Univ Cuenca, Cuenca, Ecuador Bispebjerg Hosp, Copenhagen, Denmark Frederiksberg Univ Hosp, Copenhagen, Denmark Madras Diabet Res Fdn, Madras, Tamil Nadu, India Natl Inst Publ Hlth, Tunis, Tunisia Univ Porto, Oporto, Portugal Norwegian Inst Publ Hlth, Oslo, Norway Minist Hlth Malaysia, Putrajaya, Malaysia Natl Inst Nutr, Bangalore, Karnataka, India Univ Strasbourg, Strasbourg, France Strasbourg Univ Hosp, Strasbourg, France Nepal Hlth Res Council, Kathmandu, Nepal Univ Iceland, Reykjavik, Iceland Univ Yaounde, Yaounde, Cameroon Univ Fed Pelotas, Pelotas, Brazil Univ Med, Yangon, Myanmar Univ Porto, Med Sch, Oporto, Portugal Shahid Beheshti Univ Med Sci, Tehran, Iran Indian Council Med Res, New Delhi, India King Abdulaziz Univ, Riyadh, Saudi Arabia Univ Sci & Technol, Taizi, Yemen Med Univ Lodz, Lodz, Poland Med Univ Gdansk, Gdansk, Poland Univ Autonoma Madrid, Madrid, Spain Univ Palermo, Palermo, Italy Pan Amer Hlth Org, Washington, DC USA Mohammed V Univ Rabat, Rabat, Morocco Univ Pernambuco, Recife, PE, Brazil Dalhousie Univ, Calgary, AB, Canada Jordan Univ Technol, Amman, Jordan Univ Fed Maranhao, Sao Luis, Brazil Univ Auckland, Auckland, New Zealand Univ Tunis El Manar, El Manar, Tunisia Fed Minist Hlth & Womens Affairs, Vienna, Austria CAFAM Univ Fdn, Bogota, Colombia Imperial Coll London, London, England Lithuanian Univ Hlth Sci, Kaunas, Lithuania Univ Sao Paulo, Sao Paulo, Brazil BJ Med Coll, Pune, Maharashtra, India Chirayu Med Coll, Bhopal, India Sunder Lal Jain Hosp, Delhi, India Shandong Univ Tradit Chinese Med, Shanghai, Peoples R China Shanghai Jiao Tong Univ, Sch Med, Shanghai, Peoples R China Norwegian Inst Publ, Oslo, Norway Ufa Eye Res Inst, Moscow, Russia Univ Montenegro, Montenegro, Mexico Univ Southern Denmark, Lyngby, Denmark Univ Oslo, Oslo, Norway Univ Gothenburg, Gothenburg, Sweden Natl Inst Publ Hlth & Environm, Amsterdam, Netherlands Univ Turin, Turin, Italy UCL, London, England Liverpool John Moores Univ, Liverpool, Merseyside, England Nanyang Technol Univ, Singapore, Singapore German Inst Human Nutr, Hamburg, Germany Univ Republica, Montevideo, Uruguay CEMIC, La Plata, Buenos Aires, Argentina IRCCS Ist Neurol Mediterraneo Neuromed, Naples, Italy Toulouse Univ, Sch Med, Toulouse, France Univ Lausanne, Minist Hlth, Lausanne, Switzerland Flemish Agcy Care & Hlth, Brussels, Belgium Univ Ghent, Ghent, Belgium FrieslandCampina, Amersfoort, Netherlands Univ Cent Venezuela, Caracas, Venezuela Bielefeld Univ, Bielefeld, Germany WHO, Reg Off Europe, Copenhagen, Denmark German Canc Res Ctr, Heidelberg, Germany Fred Hollows Fdn New Zealand, Auckland, New Zealand Carol Davila Univ Med & Pharm, Bucharest, Romania Natl Inst Publ Hlth & Environm, Amersroot, Netherlands Univ Southern Denmark, Copenhagen, Denmark Inst Publ Hlth, Tirana, Albania Cork Inst Technol, Cork, Ireland Univ La Laguna, San Cristobal la Laguna, Spain Univ Malta, Msida, Malta Vanderbilt Univ, 221 Kirkland Hall, Nashville, TN 37235 USA Minist Hlth, Pangai, Tonga Canadian Fitness & Lifestyle Res Inst, Ottawa, ON, Canada Hosp Santa Maria, Lisbon, Portugal Istanbul Univ, Istanbul, Turkey Univ Fed Juiz de Fora, Juiz De Fora, Portugal Food & Nutr Res Inst, Manila, Philippines Santiago de Compostela Univ, Santiago De Compostela, Spain Assoc Calabrese Epatol, Perugia, Italy India Diabet Res Fdn, Delhi, India Duke NUS Med Sch, Singapore, Singapore Natl Inst Med Stat, New Delhi, India Acad Sinica, Taipei, Taiwan Capital Inst Pediat, Beijing, Peoples R China Duke Univ, Durham, NC 27706 USA Kailuan General Hospital, Tangshan, Peoples R China Univ Oxford, Oxford, England Duke NUS MEd Sch, Singapore, Singapore Gertner Inst Epidemiol & Hlth Policy Res, Tel Aviv, Israel Natl Ctr Publ Hlth & Anal, Sofia, Bulgaria Univ Bern, Bern, Switzerland Minist Hlth & Welfare, Taipei, Taiwan Murcia Reg Hlth Council, Murcia, Spain Seoul Natl Univ, Coll Med, Seoul, South Korea Korea Ctr Dis Control & Prevent, Seoul, South Korea Univ Estadual Paulista, Sao Paulo, Brazil Med Univ Silesia, Katowice, Poland Charles Univ Prague, Prague, Czech Republic Katholieke Univ Leuven, Leuven, Belgium Agcy Prevent & Social Med, Vienna, Austria Univ Fed Santa Catarina, Sao Carlos, SP, Brazil Univ Southampton, Southampton, Hants, England Inst Pasteur, Lille, France CIBEROBN, Barcelona, Spain Natl Inst Publ Hlth, Bucharest, Romania Natl Council Res, Rome, Italy Univ Fed Santa Catarin, Sao Carlos, SP, Brazil Eduardo Mondlane Univ, Maputo, Mozambique Univ Copenhagen, Copenhagen, Denmark Res Ctr Prevent & Hlth, Glostrup, Denmark Tabriz Hlth Serv Managemnet Ctr, Tabriz, Iran Lille Univ Hosp, Lille, France Sci Inst Publ Hlth, Brussels, Belgium Madaras Diabet Res Fdn, Chennai, India Natl Res Ctr Prevent Med, Moscow, Russia Erasmus MC, Rotterdam, Netherlands Univ Montreal, Montreal, PQ, Canada Inst Rech Dev, Montpellier, France French Publ Hlth Agcy, St Maurice, France Univ Vale Rio Sino, Sao Leopoldo, Brazil Natl Council Sci & Tech Res, Buenos Aires, DF, Argentina Univ Zagreb, Zagreb, Croatia Univ Tehran Med Sci, Tehran, Iran Natl Inst Nutr, Hanoi, Vietnam Univ Queensland, Brisbane, Qld, Australia Ist Super Sanita, Rome, Italy Helmholtz Zentrum Munchen, Munich, Germany Minist Sante & Lutte Contre Sida, Abidjan, Cote Ivoire Cardinal Wyszynski Inst Cardiol, Warsaw, Poland Beijing Ctr Dis Prevent & Control, Beijing, Peoples R China Univ Latvia, Riga, Latvia Univ Benin, Benin, Nigeria Univ Skovde, Skovde, Sweden Natl Inst Nutr & Food Technol, Tunis, Tunisia Univ Calif Davis, Davis, CA 95616 USA Univ Stellenbosch, Stellenbosch, South Africa Karadeniz Tech Univ, Trabzon, Turkey Univ Southern Copenhagen, Copenhagen, Denmark Natl Inst Hlth & Welfare, Helsinki, Finland Queens Univ Belfast, Belfast, Antrim, North Ireland Univ Zurich, Zurich, Switzerland Primary Health Care, Floriana, Malta Ctr Salud Villanueva Norte, Villanueva De La Serena, Spain Univ West Indies, Mona, Jamaica Hosp Don Benito Villanueva de la Serena, Villanueva De La Serena, Spain Minist Hlth, Buenos Aires, DF, Argentina Council Agr Res & Econ, Rome, Italy Pontificia Univ Catolica Chile, Santiago, Chile Univ Toulouse, Sch Med, Toulouse, France Univ Manchester, Manchester, Lancs, England Univ Tartu, Tartu, Estonia Inst Nacl Salud Publ, Cuernavaca, Morelos, Mexico Univ Sains Malaysia, George Town, Malaysia Umea Univ, Umea, Sweden Dalarna University, Falun, Sweden Univ West Indies, Kingston, Jamaica Univ Fed Sao Paulo, Sao Paulo, Brazil Hosp Univ Son Espases, Palma De Mallorca, Spain Hosp Clin Porto Alegre, Porto Alegre, RS, Brazil Univ Fed Rio Grande do Sul, Rio Grande, Brazil Kindai Univ, Higashiosaka, Osaka, Japan Kyoto Univ, Kyoto, Japan Med Univ Warsaw, Warsaw, Poland Minist Hlth, Rome, Italy Univ Catania, Catania, Italy CIBER Epidemiol & Salud Publ, Barcelona, Spain Univ KwaZulu Natal, Durban, South Africa Geneva Univ Hosp, Geneva, Switzerland Australian Bur Stat, Canberra, ACT, Australia Agcy Prevent & Social Med, Innsbruck, Austria Wageningen Univ, Wageningen, Netherlands Noncommunicable Dis Res Ctr, Shiraz, Iran Univ Insubria, Varese, Italy Lund Univ, Lund, Sweden Minist Hlth, Ankara, Turkey Minist Hlth, Jerusalem, Israel McGill Univ, Montreal, PQ, Canada Andes Clin Cardiometab Studies, Timotes, Venezuela Univ Politecn Madrid, Madrid, Spain Univ Lille 2, Lille, France Minist Hlth, Lisbon, Portugal Inst Clin & Expt Med, Prague, Czech Republic Childrens Mem Hlth Inst, Warsaw, Poland Alexander Technol Educ Inst, Sindos, Greece Dalhousie Univ, Halifax, NS, Canada Jagiellonian Univ, Med Coll, Krakow, Poland Univ Southern Denmark, Odense, Denmark Azienda Osped Univ Policlin Vittorio Emanuele, Catania, Italy Univ Novi Sad, Novi Sad, Serbia Natl Ctr Cardiovasc Dis, Beijing, Peoples R China Univ Ferrara, Ferrara, Italy Singapore Eye Res Inst, Singapore, Singapore Iceland Heart Assoc, Kopavogur, Iceland Univ Icesi, Cali, Colombia Univ Estadual Montes Claros, Montes Claros, Brazil Kings Coll London, London, England Int Agcy Res Canc, Lyon, France Capital Med Univ, Beijing, Peoples R China Healis Sekhsaria Inst Publ Hlth, Navi Mumbai, India Eternal Heart Care Ctr Res Inst, Jaipur, Rajasthan, India Univ Ibadan, Ibadan, Nigeria Childrens Memorial Hlth Inst, Warsaw, Poland Inst Clin Effectiveness & Hlth Policy, Buenos Aires, DF, Argentina Res & Educ Inst Child Hlth, Nicosia, Cyprus Minist Hlth, Seri Begawan, Brunei Danish Canc Soc, Res Ctr, Copenhagen, Denmark Univ West Indies, Bridgetown, Barbados Alexander Technol Educ Inst Thessaloniki, Sindos, Greece Kyushu Univ, Fukuoka, Japan Tulane Univ, New Orleans, LA 70118 USA Univ Pecs, Pecs, Hungary Univ Coll Dublin, Dublin, Ireland Univ Amsterdam, Acad Med Ctr, Amsterdam, Netherlands Natl Inst Publ Hlth, Cuernavaca, Morelos, Mexico Oulu Univ Hosp, SF-90100 Oulu, Finland Univ Autonoma Bucaramanga, Bucaramanga, Colombia Swiss Fed Inst Technol, Zurich, Switzerland Chron Diseases Res Ctr, Tehran, Iran Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China Chinese Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China Univ Western Australia, Perth, WA, Australia Kingston Gen Hosp, Kingston, ON, Canada Heart Inst, Sao Paulo, Brazil Fdn Oftalmol Santander, Floridablanca, Colombia Univ Oran 1, Oran, Algeria Minist Hlth, Naypyitaw, Myanmar Vrije Univ Amsterdam, Med Ctr, Amsterdam, Netherlands Vrije Univ Amsterdam, Amsterdam, Netherlands Amer Univ Beirut, Beirut, Lebanon IRCCS Ist Neurol Mediterraneo Neuromed, Pozzilli, Italy Cardiol Mercato S Severino, Mercato San Severino, Italy Cairo Univ, Giza, Egypt Natl Inst Hlth & Nutr, Tokyo, Japan UHC Zagreb, Zagreb, Croatia Niigata Univ, Niigata, Japan Hadassah Univ, Med Ctr, Jerusalem, Israel Jordan Univ Sci & Technol, Irbid, Jordan Norwegian Univ Sci & Technol, Trondheim, Norway Sports Univ Tirana, Tirana, Albania Univ Zagreb, Sch Med, Zagreb, Croatia Heart Fdn, Fortitude Valley, Australia Natl Hlth Insurance Serv, Seoul, South Korea Guangzhou 12th Hosp, Guangzhou, Guangdong, Peoples R China Natl Inst Hyg Epidemiol & Microbiol, Havana, Cuba Simon Fraser Univ, Burnaby, BC, Canada Heidelberg Univ, Heidelberg, Germany World Hlth Org Country Off, Agra, Uttar Pradesh, India Inst Publ Hlth Serbia, Belgrade, Serbia Czestochowa Tech Univ, Czestochowa, Poland Univ Ljubljana, Ljubljana, Slovenia Univ Crete, Rethimnon, Greece Univ Kebangsaan Malaysia, Bangi, Malaysia Hellen Med Assoc Obes, Athens, Greece Johns Hopkins Bloomberg Sch Publ Hlth, Baltimore, MD USA Univ Eastern Finland, Joensuu, Finland Natl Inst Epidemiol, Madras, Tamil Nadu, India Ufa Eye Res Inst, Ufa, Russia Univ Munster, Munster, Germany Israel Ctr for Dis Control, Ramat Gan, Israel Oulu Univ Hosp, Oulu, Finland Isfahan Univ Med Sci, Isfahan, Israel Kyrgyz State Med Acad, Bishkek, Kyrgyzstan Res Inst Child Nutr, Dortmund, Germany Natl Ctr Diabetes & Endocrinol, Amman, Jordan Univ Cambridge, Cambridge, England Med Univ Innsbruck, Innsbruck, Austria Muhimbili Univ Hlth & Allied Sci, Dar Es Salaam, Tanzania Natl Canc Ctr, Goyang Si, South Korea Natl Hlh Insurance Serv, Seoul, South Korea Stat Austria, Vienna, Austria BP Koirala Inst Hlth Sci, Dharan, Nepal Inst Trop Med, Antwerp, Belgium Tartu Univ Clin, Tartu, Estonia Natl Inst Pharm & Nutr, Budapest, Hungary Minis Hlth & Qual Life, Port Louis, Mauritius Polish Acad Sci, Anthropol Unit Wroclaw, Wroclaw, Poland Univ Hosp Ulm, Ulm, Germany Univ Groningen, Groningen, Netherlands North West Univ, Potchefstroom, South Africa Natl Inst Publ Hlth, Prague, Czech Republic Univ Jyvaskyla, Jyvaskyla, Finland Amrita Inst Med Sci, Thiruvananthapuram, Kerala, India Inst Endocrinol, Prague, Czech Republic All India Inst Med Sci, New Delhi, India African Populat & Hlth Res Ctr, Nairobi, Kenya Hanoi Univ Publ Hlth, Hanoi, Vietnam Higher Inst Nursing Profess & Tech Hlth Morocco, Rabat, Morocco Natl Inst Publ Hlth Algeria, Algiers, Algeria Minist Salud Publ, Havana, Cuba Sahlgrens Acad, Gothenburg, Sweden Endocrinol & Met Res Ctr, Arak, Iran Indicium Res, Manila, Philippines Food & Agr Org, Rome, Italy Natl Univ Singapore, Singapore, Singapore Tampere Univ Hosp, Tampere, Finland Univ Cape Town, Cape Town, South Africa West Virginia Univ, Morgantown, WV USA Fundacao Oswaldo Cruz, Rene Rachou Res Inst, Belo Horizonte, MG, Brazil Natl Taiwan Univ, Taipei, Taiwan Univ Chinese Acad Sci, Beijing, Peoples R China Uppsala Univ, Uppsala, Sweden Capital Med Univ, Beijing An Zhen Hosp, Beijing, Peoples R China Natl Inst Hlth Dev, Tallinn, Estonia Univ Med Greifswald, Greifswald, Germany Consejeria Sanidad Junta Castilla & Leon, Valladolid, Spain Univ Fed Ouro Pret, Ouro Preto, Brazil Jikei Univ, Sch Med, Tokyo, Japan CNR, Rome, Italy Baker Heart & Diabet Inst, Melbourne, Vic, Australia Agr Univ Athens, Athens, Greece Univ Putra Malaysia, Seri Kembangan, Malaysia Inst Rech Dev, Marseille, France Hosp Israelita Albert Einstein, Sao Paulo, Brazil Shiraz Univ Med Sci, Shiraz, Iran Inst Internal & Prevent Med, Novosibirsk, Russia Harokopio Univ, Kallithea, Greece Univ Otago, Dunedin, New Zealand Univ Padua, Padua, Italy Technol Educ Inst Crete, Iraklion, Greece Loughborough Univ Technol, Loughborough, Leics, England Univ Fed Santa Catarina, Florianopolis, SC, Brazil Lausanne Univ Hosp, Lausanne, Switzerland Inst Hosp Mard Invest Med, Barcelona, Spain Mary Immaculate Coll, Limerick, Ireland Emory Univ, Atlanta, GA 30322 USA Hungarian Soc Sports Med, Budapest, Hungary Sherikashmir Inst Med Sci, Srinagar, Jammu & Kashmir, India UiT Arctic Univ Norway, Tromso, Norway Cape Peninsula Univ Technol, Cape Town, South Africa Univ Rzeszow, Rzeszow, Poland Univ Yaounde I, Yaounde, Cameroon Brown Univ, Providence, RI 02912 USA Univ Edinburgh, Edinburgh, Midlothian, Scotland Stat Canada, Ottawa, ON, Canada Int Med Univ, Kuala Lumpur, Malaysia INSERM, Villejuif, France Helmholtz Zentrum Munchen, Oberschleissheim, Germany Robert Koch Inst, Berlin, Germany Lusofona Univ, Lisbon, Portugal Democritus Univ Greece, Komotini, Greece Grigore T Popa Univ Med & Pharm, Iasi, Romania Univ Firenze, Florence, Italy Hypertens Res Ctr, Esfahan, Iran Mulago Hosp, Kampala, Uganda Univ Limpopo, Polokwane, South Africa Seoul Natl Univ, Childrens Hosp, Seoul, South Korea Univ Fed Rio Grande do Sul, Porto Alegre, RS, Brazil Univ Med Sci, Havana, Cuba Univ Zaragoza, Zaragoza, Spain R CSI Dublin, Dublin, Ireland Int Inst Mol & Cell Biol, Warsaw, Poland Ain Shams University, Cairo, Egypt Ahvaz Jundishapur Univ Med Sci, Ahwaz, Iran Gorgas Memorial Inst Publ Hlth, Panama City, Panama Dept Publ Hlth, Nay Pyi Taw, Myanmar Univ Brescia, Brescia, Italy Helmholtz Zentrum Munchen, Neuherberg, Germany Univ Eastern Finland, Kuopio, Finland Mary Immaculate Coll, Tours, France Bushehr Univ Med Sci, Bushehr, Iran Ulm Univ, Ulm, Germany Inst Publ Hlth, Kuala Lumpur, Malaysia Kobe Univ, Kobe, Hyogo, Japan Banska Bystrica Reg Author Publ Hlth, Banska Bystrica, Slovakia Suraj Eye Inst, Nagpur, Maharashtra, India Helen Keller Int, Yaounde, Cameroon Karolinska Inst, Solna, Sweden Natl Inst Hyg & Epidemiol, Hanoi, Vietnam Univ Pharm & Med Ho Chi Minh City, Ho Chi Minh City, Vietnam Hanoi Med Univ, Hanoi, Vietnam Miami Vet Affairs Healthcare Syst, Miami, FL USA Heartfile, Islamabad, Pakistan Natl Canc Ctr, Tokyo, Japan Eastern Mediterranean Publ Hlth Network, Amman, Jordan State Univ Med & Pharm, Kishinev, Moldova Tachikawa Gen Hosp, Tachikawa, Tokyo, Japan Acad Hosp Paramaribo, Paramaribo, Surinam Univ Vale Rio dos Sinos, Sao Leopoldo, Brazil Natl Food & Nutr Inst, Warsaw, Poland Minist Hlth, Bandar Seri Begawan, Brunei Univ Fed Santa Catarin, Florianopolis, SC, Brazil Univ Madeira, Funchal, Portugal Univ Puerto Rico, San Juan, PR USA MRC Lifecourse Epidemiol Unit, Southampton, Hants, England Aarhus Univ, Aarhus, Denmark Kwame Nkrumah Univ Sci & Technol, Kumasi, Ghana Inst Social & Prevent, Lausanne, Switzerland Canc Prevent & Res Inst, Florence, Italy Univ Wisconsin Madison, Madison, WI USA IRCCS Casa Sollievo Sofferenz, San Giovanni Rotondo, Italy Zayed Univ, Dubai, U Arab Emirates Catholic Univ Daegu, Gyongsan, South Korea Tg Mures Univ Med & Pharm, Targu Mures, Romania Jivandeep Hosp, Surat, India South African Med Res Council, Tygerberg, South Africa Univ Med Ctr Utrecht, Utrecht, Netherlands Fundacao Oswaldo Cruz, Rene Rachou Res Inst, Rio De Janeiro, Brazil Spanish Agcy Consumer Affairs Social Serv & Nutr, Madrid, Spain Univ Puerto Rico, Med Sci Campus, San Juan, PR USA Minist Hlth & Med Educ, Tehran, Iran Vietnam Natl Heart Inst, Hanoi, Vietnam Leibniz Inst Prevent Res & Epidemiol BIPS, Bremen, Germany Univ Sarajevo, Sarajevo, Bosnia & Herceg Cardiovasc Prevent Ctr Udine, Udine, Italy Univ Hosp Pisa, Pisa, Italy Minist Hlth & Med Serv, Honiara, Solomon Islands Publ Hlth Agcy Catalonia, Barcelona, Spain Univ Kebangsaan Malaysia, Kuala Lumpur, Malaysia Univ Montenegro, Podgorica, Montenegro Inst Hosp Mar Invest Med, Barcelona, Spain Agcy Prevent and Social Med, Innsbruck, Austria Digest Oncol Res Ctr, Tehran, Iran Digest Dis Res Inst, Tehran, Iran CHU Vaudois, Lausanne, Switzerland Ctr Dis & Prevent Control, Riga, Latvia Al Quds Univ, Jerusalem, Israel Alborz Univ Med Sci, Karaj, Iran Minist Hlth, Hanoi, Vietnam BRAC, Dhaka, Bangladesh Inst Epidemiol Dis Control & Res, Dhaka, Bangladesh Univ Turku, Turku, Finland India Diabet Res Fdn, Madras, Tamil Nadu, India Univ New South Wales, Sydney, NSW, Australia Inst Univ Invest Atencio Primaria Jordi Gol, Barcelona, Spain Univ Malaya, Kuala Lumpur, Malaysia Univ Valencia, Valencia, Spain Univ Philippines, Quezon City, Philippines Nutr Res Fdn, Barcelona, Spain Minas Gerais State Secretariat Hlth, Belo Horizonte, MG, Brazil Hlth Ctr San Agustin, San AgustIn, Spain PharmAccess Fdn, Amsterdam, Netherlands Natl Inst Hlth Doutor Ricardo Jorge, Lisbon, Portugal Publ Hlth Agcy Canada, Ottawa, ON, Canada Canarian Hlth Serv, Barcelona, Spain Univ Ind Santander, Bucaramanga, Colombia Inst Nacl Salud Publ, Mexico City, DF, Mexico CIBEROBN, Madrid, Spain Gothenburg Univ, Gothenburg, Sweden Fiji Natl Univ, Suva, Fiji CNR, Inst Food Sci, Rome, Italy Sitaram Bhartia Inst Sci & Res, New Delhi, India Univ Tunis El Mana, Tunis, Tunisia Natl Inst Publ Hlth, Mexico City, DF, Mexico Univ Helsinki, Helsinki, Finland Natl Inst Hlth Peru, Lima, Peru Minist Hlth, South Jakarta, Indonesia Catalan Dept Hlth, Barcelona, Spain Publ Hlth Subdelegate Off, Barcelona, Spain Univ Lisbon, Lisbon, Portugal Prevent Med & Publ Hlth, Lisbon, Portugal Univ Sao Paulo, Clin Hosp, Sao Paulo, Brazil South Karelia Social & Hlth Care Dist, Lappeenranta, Finland Isfahan Cardiovasc Res Ctr, Esfahan, Iran Hosp Italiano Buenos Aires, Buenos Aires, DF, Argentina Rigshosp, Copenhagen, Denmark Minist Hlth, Naypyidaw, Myanmar Lagos State Univ, Coll Med, Lagos, Nigeria Univ Las Palmas Gran Canaria, Las Palmas Gran Canaria, Spain Baker Heart and Diabet Inst, Melbourne, Vic, Australia Univ Tokyo, Tokyo, Japan Samsung Med Ctr, Seoul, South Korea Finnish Inst Occupat Hlth, Helsinki, Finland St Vincents Hosp, Melbourne, Vic, Australia Acad Med Ctr Amsterdam, Amsterdam, Netherlands Hlth Polytech Jakarta II Inst, Jakarta, Indonesia Univ Bari, Bari, Italy Inst Reg Sante Publ, Cotonou, Benin Univ Bordeaux, Bordeaux, France Inst Publ Hlth Republ Macedonia, Skopje, Macedonia Univ Leuven, Leuven, Belgium Lamprecht & Stamm Sozialforsch & Beratung AG, Zurich, Switzerland INSERM, Paris, France Univ Bonn, Bonn, Germany Sotiria Hosp, Athens, Greece Natl Inst Publ Hlth, Natl Inst Hyg, Warsaw, Poland Swansea Univ, Swansea, W Glam, Wales Fu Jen Catholic Univ, New Taipei, Taiwan Minist Hlth, Amman, Jordan Natl Inst Hlth, Lima, Peru UNICEF, Yaounde, Cameroon Danish Canc Soc Res Ctr, Copenhagen, Denmark Hlth Serv Murcia, Murcia, Spain Res & Educ Inst, Nicosia, Cyprus IB SALUT Area Salut Menorca, Palma de Mallorca, Spain Univ Bologna, Bologna, Italy Hellen Hlth Fdn, Athens, Greece Univ Pharm & Med Ho Chi Min City, Ho Chi Minh, Vietnam Governm Med Coll, Secunderabad, India Sefako Makgatho Hlth Sci Univ, Kangnung, South Korea Addis Ababa Univ, Addis Ababa, Ethiopia Dasman Diabet Inst, Kuwait, Kuwait Minist Hlth, Thorndon, New Zealand Hellen Med Associat Obes, Athens, Greece Univ Ctr Occidental Lisandro Alvarado, Barquisimeto, Venezuela Meharry Med Coll, Nashville, TN USA Dokuz Eylul Univ, Izmir, Turkey Univ Tampere, Tays Eye Ctr, Tampere, Finland Polytech Inst Porto, Oporto, Portugal Univ Utrecht, Utrecht, Netherlands Amsterdam Publ Hlth Res Inst, Amsterdam, Netherlands Univ Fed Minas Gerais, Belo Horizonte, MG, Brazil Natl Inst Publ Hlth & Environm, Bilthoven, Netherlands Fed Univ Pelota, Pelotas, Brazil Italian Natl Res Council, Rome, Italy Univ Miguel Hernandez, Elche, Spain Minist Hlth, Victoria, Seychelles North Karelian Ctr Publ Hlth, Joensuu, Finland ISGlobal Ctr Res Environm Epidemiol, Barcelona, Spain Univ Witwatersrand, Johannesburg, South Africa Med Univ Vienna, Vienna, Austria Univ Coll Cork, Cork, Ireland Inst Med Res, Kuala Lumpur, Malaysia Xinjiang Med Univ, Urumqi, Peoples R China St Georges Univ London, London, England Univ Indonesia, Depok, Indonesia Natl Inst Hyg, Warsaw, Poland Caja Costarricense Seguro Social, Atenas, Costa Rica Univ Kebangsaan Malaysia, Bangi Selangor, Malaysia Univ New South Wales, Kensington, NSW, Australia Univ Mancheste, Manchester, Lancs, England Shandong Univ Tradit Chinese Med, Jinan, Shandong, Peoples R China Kailuan Gen Hosp, Tangshan, Peoples R China Minist Agr, Inst Food & Dev, Beijing, Peoples R China Fudan Univ, Childrens Hosp, Shanghai, Peoples R China Chinese Ctr Dis Control & Prevent, Beijing, Peoples R China Univ Cyprus, Nicosia, Cyprus Univ Teknol MARA, Shah Alam, Malaysia Capital Med Univ Beijing, An Zhen Hosp, Beijing, Peoples R China West Kazakhstan State Med Univ, Aktobe, Kazakhstan Inner Mongolia Med Univ, Hohhot, Peoples R China Gorgas Mem Inst Publ Hlth, Panama City, Panama Univ Estadual Paulista, Sao Paulo, Brazil
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- 2017
8. Socioeconomic inequalities in childhood overweight : heterogeneity across five countries in the WHO European Childhood Obesity Surveillance Initiative (COSI-2008)
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Lissner, L., Wijnhoven, T. M. A., Mehlig, K., Sjöberg, A., Kunesova, M., Yngve, Agneta, Petrauskiene, A., Duleva, V., Rito, A. I., Breda, J., Lissner, L., Wijnhoven, T. M. A., Mehlig, K., Sjöberg, A., Kunesova, M., Yngve, Agneta, Petrauskiene, A., Duleva, V., Rito, A. I., and Breda, J.
- Abstract
BACKGROUND: Excess risk of childhood overweight and obesity occurring in socioeconomically disadvantaged families has been demonstrated in numerous studies from high-income regions, including Europe. It is well known that socioeconomic characteristics such as parental education, income and occupation are etiologically relevant to childhood obesity. However, in the pan-European setting, there is reason to believe that inequalities in childhood weight status may vary among countries as a function of differing degrees of socioeconomic development and equity. SUBJECTS AND METHODS: In this cross-sectional study, we have examined socioeconomic differences in childhood obesity in different parts of the European region using nationally representative data from Bulgaria, the Czech Republic, Lithuania, Portugal and Sweden that were collected in 2008 during the first round of the World Health Organization ( WHO) European Childhood Obesity Surveillance Initiative. RESULTS: Heterogeneity in the association between parental socioeconomic indicators and childhood overweight or obesity was clearly observed across the five countries studied. Positive as well as negative associations were observed between parental socioeconomic indicators and childhood overweight, with statistically significant interactions between country and parental indicators. CONCLUSIONS: These findings have public health implications for the WHO European Region and underscore the necessity to continue documenting socioeconomic inequalities in obesity in all countries through international surveillance efforts in countries with diverse geographic, social and economic environments. This is a prerequisite for universal as well as targeted preventive actions., Funding Agencies:Ministry of HealthNational Center of Public Health and AnalysesRegional Health InspectoratesInternal Grant Agency of the Ministry of Health IGA NS/9832-4Lithuanian State Science and Studies FoundationLithuanian University of Health SciencesResearch Council of Lithuania SIN-17/2012Ministry of Health and Regional Health DirectoratesSwedish Research Council for Health, Working Life and Welfare (FORTE)Directorate-General for Health of PortugalNational Health Institute Doutor Ricardo Jorge in Lisbon, PortugalNational Institute of Health in Rome, ItalyNorwegian Institute of Public Health in Oslo, NorwayHellenic Medical Association for Obesity in Athens, GreeceDirectorate-General for Health of FranceKarolinska Institute in Huddinge, Sweden
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- 2016
- Full Text
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9. Pilot study in the view of a Pan-European dietary survey - adolescents, adults and elderly
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Ambrus, Á., Horváth, Zs., Farkas, Zs., Cseh, J., Petrova, S., Dimitrov, P., Duleva, V., Rangelova, L., Iscener, E., Ovaskainen, M., Pakkala, H., Heinemeyer, G., Lindtner, O., Schweter, A., Naska, A., Sekula, W., Guiomar, Carla, Lopes, Carla, Torres, Duarte, and Faculdade de Ciências da Nutrição e Alimentação
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Health sciences, Medical and Health sciences ,Ciências médicas e da saúde ,Medical and Health sciences ,Ciências da Saúde, Ciências médicas e da saúde - Abstract
The project was performed in the context of EFSA's plan for a pan-European data collection,namely. "What's on the Menu in Europe" ("EU Menu") survey. The goals of the PILOT-PANEUproject were to develop, test and evaluate the applicability of tools and procedures for conducting adietary survey including adolescents, adults and elderly people, based on 2 x 24-hr recall performedwith EPIC-Soft methodology. The Manual, protocols, questionnaires and other documents assistingthe implementation of the surveys were developed jointly by all partners; five participants prepared thecountry-specific files. Approximately 25% of picture series selected for estimation of the amount offood consumed was tested, involving persons aged 10-74 years, with perception andconceptualisation-memory methods within validation studies performed by five partners. The studyrevealed that the picture series can be best used for foods of similar appearance and density. The 2x24-hr recall dietary surveys were carried out by four partners involving 1012 interviewed persons selectedwith the combination of random and convenience sampling. The Greek partner carried out thecomparative analysis of the results of the 2011 national nutrition survey and those obtained with thenew Hellenic Health Foundation nutrition tool. The response rate was generally low, except inBulgaria, suggesting that the highest rate can be achieved if the random samples are selected incooperation with the National Statistical Offices taking into account the varying practices of handlingconfidential personal information. The present version of EPIC-Soft methodology tested had severalshortcomings which would likely be eliminated with the development of the e-StandardisedMethodologies Platform (e-SMP). The consortium made a number of recommendations for theimprovement and further development of the tools and procedures. Assuming that the recommendedmodifications are made, the tools and procedures developed and tested are considered applicable forthe EFSA "EU Menu" survey.
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- 2013
10. WHO European Childhood Obesity Surveillance Initiative: School Nutrition Environment and Body Mass Index in Primary Schools
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Wijnhoven, T.M.A., van Raaij, J.M.A., Sjöberg, A., Eldin, N., Yngve, A., Kunesova, M., Stare, G., Rito, A.I., Duleva, V., Hassapidou, M., Martos, E., Pudule, I., Petrauskiene, A., Farrugia Sant Angelo, V., Hovengen, R., Breda, J., Wijnhoven, T.M.A., van Raaij, J.M.A., Sjöberg, A., Eldin, N., Yngve, A., Kunesova, M., Stare, G., Rito, A.I., Duleva, V., Hassapidou, M., Martos, E., Pudule, I., Petrauskiene, A., Farrugia Sant Angelo, V., Hovengen, R., and Breda, J.
- Abstract
Background: Schools are important settings for the promotion of a healthy diet and sufficient physical activity and thus overweight prevention. Objective: To assess differences in school nutrition environment and body mass index (BMI) in primary schools between and within 12 European countries. Methods: Data from the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative (COSI) were used (1831 and 2045 schools in 2007/2008 and 2009/2010, respectively). School personnel provided information on 18 school environmental characteristics on nutrition and physical activity. A school nutrition environment score was calculated using five nutrition-related characteristics whereby higher scores correspond to higher support for a healthy school nutrition environment. Trained field workers measured children’s weight and height; BMI-for-age (BMI/A) Z-scores were computed using the 2007 WHO growth reference and, for each school, the mean of the children’s BMI/A Z-scores was calculated. Results: Large between-country differences were found in the availability of food items on the premises (e.g., fresh fruit could be obtained in 12%-95% of schools) and school nutrition environment scores (range: 0.30-0.93). Low-score countries (Bulgaria, Czech Republic, Greece, Hungary, Latvia and Lithuania) graded less than three characteristics as supportive. High-score (=0.70) countries were Ireland, Malta, Norway, Portugal, Slovenia and Sweden. The combined absence of cold drinks containing sugar, sweet snacks and salted snacks were more observed in high-score countries than in low-score countries. Largest within-country school nutrition environment scores were found in Bulgaria, Czech Republic, Greece, Hungary, Latvia and Lithuania. All country-level BMI/A Z-scores were positive (range: 0.20-1.02), indicating higher BMI values than the 2007 WHO growth reference. With the exception of Norway and Sweden, a country-specific association between the school nutrition envir
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- 2014
11. Progreens-promotion of fruit and vegetable intake in school children across Europe
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Bjarnholt, C., Yngve, A.K., Krawinkel, M., Kristjansdottir, A.G., Ribic, C.H., de Almeida, M.D.V., Francini, B., Papadaki, A., Karlsson, C., Brug, J., Maucec-Zakotnik, J., Ehrenblad, B., Duleva, V., Lien, N., te Velde, S.J., de Santiago, R.I., Roos, E.C., Klepp, K.I., Binard, P., Petrova, S., Thorsdottir, I., Epidemiology and Data Science, Pediatrics, and EMGO - Lifestyle, overweight and diabetes
- Published
- 2009
12. Turning dilemmas into opportunities: a UNU/SCN capacity development network in public nutrition in Central and Eastern Europe
- Author
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Pavlovic, M., Pepping, F., Demes, M., Biro, L., Szabolcs, P., Dimitrovska, Z., Duleva, V., Parvan, C., Hadziomeragic, A.F., Glibetic, M., Oshaug, A., Pavlovic, M., Pepping, F., Demes, M., Biro, L., Szabolcs, P., Dimitrovska, Z., Duleva, V., Parvan, C., Hadziomeragic, A.F., Glibetic, M., and Oshaug, A.
- Abstract
Capacity development in nutrition is a process whereby individuals, groups, institutions, organizations and societies enhance their abilities to identify and meet challenges in a sustainable manner. To address these issues, in 2001 the UN System Standing Committee on Nutrition (SCN) established a Working Group on Capacity Development under the joint coordination of the United Nations University (UNU) and the International Union of Nutritional Sciences. Several regional professional networks have developed under this working group, the latest for the Central and Eastern Europe (CEE) countries. Ten CEE countries formed a network in 2006 and identified major nutritional challenges in the region, which included: irregular meal patterns; low consumption of fruits/vegetables, milk products and fish; low intake of some micronutrients; and high intakes of fat, sugar and salt. Public policies in nutrition were either weak or absent. Some countries had recently developed nutrition plans. Higher education in nutrition was seen as very important for public nutrition work by professionals in the region, who considered it a prerequisite for reversing the negative trend of the nutrition transition. The network will continue to work on issues that are still not covered adequately. Its activities to date and prospects for the future are assessed against ten principles for good capacity development suggested by the United Nations Development Programme
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- 2009
13. Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants
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Mansour-Ghanaei F., Manzato E., Margozzini P., Markaki A., Markey O., Markidou Ioannidou E., Marques-Vidal P., Marques L.P., Marrugat J., Martin-Prevel Y., Martin R., Martorell R., Martos E., Marventano S., Mascarenhas L.P., Masoodi S.R., Mathiesen E.B., Mathur P., Matijasevich A., Matsha T.E., Mavrogianni C., Mazur A., Mbanya J.C.N., McFarlane S.R., McGarvey S.T., McKee M., McLachlan S., McLean R.M., McLean S.B., McNulty B.A., Mediene-Benchekor S., Medzioniene J., Mehdipour P., Mehlig K., Mehrparvar A.H., Meirhaeghe A., Meisfjord J., Meisinger C., Menezes A.M.B., Menon G.R., Mensink G.B., Menzano M.T., Mereke A., Meshram I.I., Metspalu A., Mi J., Michaelsen K.F., Michels N., Mikkel K., Milkowska K., Miller J.C., Minderico C.S., Mini G.K., Miquel J.F., Mirjalili M.R., Mirkopoulou D., Mirrakhimov E., Misigoj-Durakovic M., Mistretta A., Mocanu V., Modesti P.A., Moghaddam S.S., Mohajer B., Mohamed M.K., Mohamed S.F., Mohammad K., Mohammadi Z., Mohammadifard N., Mohammadpourhodki R., Mohan V., Mohanna S., Mohd Yusoff M.F., Mohebbi I., Mohebi F., Moitry M., Molbo D., Mollehave L.T., Moller N.C., Molnar D., Momenan A., Mondo C.K., Monroy-Valle M., Monterrubio-Flores E., Monyeki K.D.K., Moosazadeh M., Moreira L.B., Morejon A., Moreno L.A., Morgan K., Morin S.N., Mortensen E.L., Moschonis G., Mossakowska M., Mostafa A., Mota-Pinto A., Mota J., Motlagh M.E., Motta J., Moura-dos-Santos M.A., Mridha M.K., Msyamboza K.P., Mu T.T., Muc M., Mugosa B., Muiesan M.L., Mukhtorova P., Muller-Nurasyid M., Murphy N., Mursu J., Murtagh E.M., Musa K.I., Music Milanovic S., Musil V., Mustafa N., Nabipour I., Naderimagham S., Nagel G., Naidu B.M., Najafi F., Nakamura H., Namesna J., Nang E.E.K., Nangia V.B., Nankap M., Narake S., Nardone P., Nauck M., Neal W.A., Nejatizadeh A., Nelis K., Nelis L., Nenko I., Neovius M., Nervi F., Nguyen C.T., Nguyen D., Nguyen Q.N., Nieto-Martinez R.E., Nikitin Y.P., Ning G., Ninomiya T., Nishtar S., Noale M., Noboa O.A., Nogueira H., Norat T., Nordendahl M., Nordestgaard B.G., Noto D., Nowak-Szczepanska N., Nsour M.A., Nuhoglu I., Nurk E., O'Neill T.W., O'Reilly D., Obreja G., Ochimana C., Ochoa-Aviles A.M., Oda E., Oh K., Ohara K., Ohlsson C., Ohtsuka R., Olafsson O., Olinto M.T.A., Oliveira I.O., Omar M.A., Onat A., Ong S.K., Ono L.M., Ordunez P., Ornelas R., Ortiz A.P., Ortiz P.J., Osler M., Osmond C., Ostojic S.M., Ostovar A., Otero J.A., Overvad K., Owusu-Dabo E., Paccaud F.M., Padez C., Pagkalos I., Pahomova E., Paiva K.M.D., Pajak A., Palli D., Palloni A., Palmieri L., Pan W.-H., Panda-Jonas S., Pandey A., Panza F., Papandreou D., Park S.-W., Park S., Parnell W.R., Parsaeian M., Pascanu I.M., Pasquet P., Patel N.D., Pednekar M.S., Peer N., Peixoto S.V., Peltonen M., Pereira A.C., Peres M.A., Perez-Farinos N., Perez C.M., Peterkova V., Peters A., Petersmann A., Petkeviciene J., Petrauskiene A., Pettenuzzo E., Peykari N., Pham S.T., Pichardo R.N., Pierannunzio D., Pigeot I., Pikhart H., Pilav A., Pilotto L., Pistelli F., Pitakaka F., Piwonska A., Pizarro A.N., Plans-Rubio P., Poh B.K., Pohlabeln H., Pop R.M., Porta M., Posch G., Poudyal A., Poulimeneas D., Pouraram H., Pourfarzi F., Pourshams A., Poustchi H., Pradeepa R., Price A.J., Price J.F., Providencia R., Puder J.J., Pudule I., Puhakka S.E., Puiu M., Punab M., Qasrawi R.F., Qorbani M., Quoc Bao T., Radic I., Radisauskas R., Rahimikazerooni S., Rahman M., Raitakari O., Raj M., Rakhimova E., Rakhmatulloev S., Rakovac I., Ramachandra Rao S., Ramachandran A., Ramke J., Ramos E., Ramos R., Rampal L., Rampal S., Rarra V., Rascon-Pacheco R.A., Rasmussen M., Rech C.R., Redon J., Reganit P.F.M., Regecova V., Revilla L., Rezaianzadeh A., Ribas-Barba L., Ribeiro R., Riboli E., Richter A., Rigo F., Rinaldo N., Rinke de Wit T.F., Rito A., Ritti-Dias R.M., Rivera J.A., Robitaille C., Roccaldo R., Rodrigues D., Rodriguez-Artalejo F., Rodriguez-Perez M.D.C., Rodriguez-Villamizar L.A., Roggenbuck U., Rojas-Martinez R., Rojroongwasinkul N., Romaguera D., Romeo E.L., Rosario 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Uysal N., Vaitkeviciute J., Valdivia G., Vale S., Valvi D., van Dam R.M., Van der Heyden J., van der Schouw Y.T., Van Herck K., Van Minh H., van Valkengoed I.G., Vanderschueren D., Vanuzzo D., Varbo A., Varela-Moreiras G., Varona-Perez P., Vasan S.K., Vega T., Veidebaum T., Velasquez-Melendez G., Velika B., Veronesi G., Verschuren W.M., Victora C.G., Viegi G., Viet L., Villalpando S., Vineis P., Vioque J., Virtanen J.K., Visser M., Visvikis-Siest S., Viswanathan B., Vladulescu M., Vlasoff T., Vocanec D., Volzke H., Voutilainen A., Voutilainen S., Vrijheid M., Vrijkotte T.G., Wade A.N., Wagner A., Waldhor T., Walton J., Wambiya E.O., Wan Bebakar W.M., Wan Mohamud W.N., Wanderley Junior R.D.S., Wang M.-D., Wang N., Wang Q., Wang X., Wang Y.X., Wang Y.-W., Wannamethee S.G., Wareham N., Weber A., Wedderkopp N., Weerasekera D., Weghuber D., Wei W., Weres A., Werner B., Whincup P.H., Widhalm K., Widyahening I.S., Wiecek A., Wilks R.J., Willeit J., Willeit P., Williams J., Wilsgaard T., 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Male ,body-mass index ,ADULTHOOD ,Adolescents ,pituuskasvu ,Pediatrics ,Body Mass Index ,0302 clinical medicine ,Child Development ,nuoret ,Public health surveillance ,Medicine ,Health Status Indicators ,10. No inequality ,Child ,11 Medical and Health Sciences ,Body mass index ,ComputingMilieux_MISCELLANEOUS ,education.field_of_study ,VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801 ,General Medicine ,Body mass indexes ,kansainvälinen vertailu ,3. Good health ,Geography ,Health ,030220 oncology & carcinogenesis ,Child, Preschool ,Medical and Health sciences ,purl.org/becyt/ford/3 [https] ,medicine.medical_specialty ,School-aged adolescents ,Socio-culturale ,lapset (ikäryhmät) ,Nursing ,territories ,ravinto ,purl.org/becyt/ford/3.3 [https] ,03 medical and health sciences ,School Children ,SDG 3 - Good Health and Well-being ,SYSTEMATIC ANALYSIS ,Humans ,school-aged children and adolescents ,Montenegro ,education ,Science & Technology ,Omvårdnad ,Health sciences, Medical and Health sciences ,Ciências médicas e da saúde ,Bayes Theorem ,Anthropometry ,Adolescent Development ,medicine.disease ,TRENDS ,Height and Body-mass Index ,Faculdade de Ciências Sociais ,UNDERNUTRITION ,Height index trajectories ,Height, body mass index, children , epidemiology ,risk factors, growth ,Stature ,Demography ,Settore MED/09 - Medicina Interna ,Internationality ,[SDV]Life Sciences [q-bio] ,030204 cardiovascular system & hematology ,Body-mass index trajectories ,Epidemiology ,Medicine and Health Sciences ,risk factors ,countries ,EPIDEMIOLOGY ,height ,children ,adolescents ,BMI ,030212 general & internal medicine ,painoindeksi ,Child development ,2. Zero hunger ,Medicine(all) ,School age child ,obestity children cardiovascular ,Population Health ,1. No poverty ,Pediatrik ,Public Health, Global Health, Social Medicine and Epidemiology ,3142 Public health care science, environmental and occupational health ,Pooled analysis ,NUTRITION ,Female ,medicine.symptom ,pooled analysis ,Life Sciences & Biomedicine ,terveys ,height, BMI, nutrition, health, children, adolescents ,Adolescent ,growth ,Population ,body-mass ,Population based ,Body-mass index ,Young Adult ,Medicine, General & Internal ,Meta-Analysis as Topic ,General & Internal Medicine ,parasitic diseases ,Weight gain ,School-aged childrens ,Age trajectories ,business.industry ,Height ,Weight ,Body Height ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Malnutrition ,ONSET ,Ciências da Saúde, Ciências médicas e da saúde ,School-aged children ,VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801 ,business ,terveysriskit ,Estilos de Vida e Impacto na Saúde - Abstract
BACKGROUND: Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents., METHODS: For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence., FINDINGS: We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls., INTERPRETATION: The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks., Wellcome Trust, AstraZeneca Young Health Programme, EU., peer-reviewed
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- 2020
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14. Rising rural body-mass index is the main driver of the global obesity epidemic in adults
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Bixby, Honor, Bentham, James, Zhou, Bin, Di Cesare, Mariachiara, Paciorek, Christopher J., Bennett, James E., Taddei, Cristina, Stevens, Gretchen A., Rodriguez-Martinez, Andrea, Carrillo-Larco, Rodrigo M., Khang, Young-Ho, Soric, Maroje, Gregg, Edward W., Miranda, J. Jaime, Bhutta, Zulfiqar A., Savin, Stefan, Sophiea, Marisa K., Iurilli, Maria L. C., Solomon, Bethlehem D., Cowan, Melanie J., Riley, Leanne M., Danaei, Goodarz, Bovet, Pascal, Chirita-Emandi, Adela, Hambleton, Ian R., Hayes, Alison J., Ikeda, Nayu, Kengne, Andre P., Laxmaiah, Avula, Li, Yanping, McGarvey, Stephen T., Mostafa, Aya, Neovius, Martin, Starc, Gregor, Zainuddin, Ahmad A., Abarca-Gomez, Leandra, Abdeen, Ziad A., Abdrakhmanova, Shynar, Ghaffar, Suhaila Abdul, Hamid, Zargar Abdul, Garba, Jamila Abubakar, Abu-Rmeileh, Niveen M., Acosta-Cazares, Benjamin, Adams, Robert J., Aekplakorn, Wichai, Afsana, Kaosar, Agdeppa, Imelda A., Aguilar-Salinas, Carlos A., Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Naser, Ahmadvand, Alireza, Ahrens, Wolfgang, Ajlouni, Kamel, AlBuhairan, Fadia, AlDhukair, Shahla, Al-Hazzaa, Hazzaa M., Ali, Mohamed M., Ali, Osman, Alkerwi, Ala'a, Al-Othman, Amani Rashed, Al-Raddadi, Rajaa, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N., Amouyel, Philippe, Amuzu, Antoinette, Bo, Lars, Anderssen, Sigmund A., Angquist, Lars H., Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araujo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E., Arlappa, Nimmathota, Aryal, Krishna K., Aspelund, Thor, Assah, Felix K., Assuncao, Maria Cecilia F., Aung, May Soe, Auvinen, Juha, Avdicova, Maria, Azevedo, Ana, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V., Baharudin, Azli, Bahijri, Suhad, Baker, Jennifer L., Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, Jose R., Barbagallo, Carlo M., Barcelo, Alberto, Barkat, Amina, Barros, Aluisio J. D., Barros, Mauro V. G., Bata, Iqbal, Batieha, Anwar M., Batista, Rosangela L., Battakova, Zhamilya, Batyrbek, Assembekov, Baur, Louise A., Beaglehole, Robert, Bel-Serrat, Silvia, Ben Romdhane, Habiba, Benedics, Judith, Benet, Mikhail, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloisa, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K., Bi, Hongsheng, Bi, Yufang, Biehl, Anna, Lele, Elysee Claude Bika, Bikbov, Mukharram, Bista, Bihungum, Bjelica, Dusko J., Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B., Bjorkelund, Cecilia, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M., Boehm, Bernhard O., Boeing, Heiner, Boggia, Jose G., Boissonnet, Carlos P., Bonaccio, Marialaura, Bongard, Vanina, Bopp, Matthias, Borchini, Rossana, Borghs, Herman, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn C. E., Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Breda, Joao, Brenner, Hermann, Brewster, Lizzy M., Brian, Garry R., Brinduse, Lacramioara, Bruno, Graziella, Bueno-de-Mesquita, H. Bas, Bugge, Anna, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, Cabrera de Leon, Antonio, Cacciottolo, Joseph, Cai, Hui, Cama, Tilema, Cameron, Christine, Camolas, Jose, Can, Gamze, Can, Gunay, Candido, Ana Paula C., Canete, Felicia, Capanzana, Mario V., Capuano, Eduardo, Capuano, Vincenzo, Cardoso, Viviane C., Carlsson, Axel C., Carmuega, Esteban, Carvalho, Maria J., Casanueva, Felipe F., Casas, Juan-Pablo, Caserta, Carmelo A., Celikcan, Ertugrul, Censi, Laura, Cesar, Juraci A., Chamukuttan, Snehalatha, Chan, Angelique W., Chan, Queenie, Chaturvedi, Himanshu K., Chaturvedi, Nishi, Rahim, Norsyamlina Che Abdul, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheng, Yiling J., Chetrit, Angela, Chikova-Iscener, Ekaterina, Chiolero, Arnaud, Chiou, Shu-Ti, Chirlaque, Maria-Dolores, Cho, Belong, Cho, Yumi, Christensen, Kaare, Christofaro, Diego G., Chudek, Jerzy, Cifkova, Renata, Cilia, Michelle, Cinteza, Eliza, Claessens, Frank, Clarke, Janine, Clays, Els, Concin, Hans, Confortin, Susana C., Cooper, Cyrus, Coppinger, Tara C., Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L., Crampin, Amelia C., Crujeiras, Ana B., Cruz, Juan J., Cucu, Alexandra, Cui, Liufu, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T., Dankner, Rachel, Dantoft, Thomas M., D'Arrigo, Graziella, Dasgupta, Parasmani, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, De Backer, Guy, De Bacquer, Dirk, De Curtis, Amalia, de Gaetano, Giovanni, De Henauw, Stefaan, de Oliveira, Paula Duarte, De Ridder, Karin, de Rooij, Susanne R., De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D., Dehghan, Abbas, Delisle, Helene, Delpeuch, Francis, Dennison, Elaine, Deschamps, Valerie, Dhana, Klodian, Dhimal, Meghnath, Di Castelnuovo, Augusto F., Dias-da-Costa, Juvenal Soares, Diaz, Alejandro, Dika, Zivka, Djalalinia, Shirin, Do, Ha T. 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Cinteza E, Claessens F, Clarke J, Clays E, Concin H, Confortin SC, Cooper C, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Crujeiras AB, Cruz JJ, Cucu A, Cui L, Dallongeville J, Damasceno A, Damsgaard CT, Dankner R, Dantoft TM, D’Arrigo G, Dasgupta P, Dastgiri S, Dauchet L, Davletov K, De Backer G, De Bacquer D, De Curtis A, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder K, de Rooij SR, De Smedt D, Deepa M, Deev AD, Dehghan A, Delisle H, Delpeuch F, Dennison E, Deschamps V, Dhana K, Dhimal M, Di Castelnuovo AF, Dias-da-Costa JS, Diaz A, Dika Z, Djalalinia S, Do HTP, Dobson AJ, Donati MB, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dorosty AR, d’Orsi E, Doua K, Drygas W, Duan JL, Duante CA, Duda RB, Duleva V, Dulskiene V, Dumith SC, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Egbagbe EE, Eggertsen R, Eiben G, Ekelund U, El Ati J, Eldemire-Shearer D, Eliasen M, Elliott P, Engle-Stone R, Erasmus RT, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Evans A, Faeh D, Fall CH, Farrugia Sant’Angelo V, Farzadfar F, Fattahi MR, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrari M, Ferreccio C, Ferrer E, Ferrieres J, Fijalkowska A, Fink G, Fischer K, Flores EM, Föger B, Foo LH, Forslund A-S, Forsner M, Fouad HM, Francis DK, Franco MC, Franco OH, Frontera G, Fuchs FD, Fuchs SC, Fujita Y, Furusawa T, Gaciong Z, Gafencu M, Galeone D, Galvano F, Gao J, Garcia-de-la-Hera M, Gareta D, Garnett SP, Gaspoz J-M, Gasull M, Gates L, Gazzinelli A, Geiger H, Geleijnse JM, Ghanbari A, Ghasemi E, Ghasemian A, Gheorghe-Fronea O-F, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Gironella G, Giwercman A, Godos J, Gogen S, Goldsmith RA, Goltzman D, Gonçalves H, Gonzalez AR, Gonzalez-Chica DA, Gonzalez-Gross M, González-Leon M, González-Rivas JP, González-Villalpando M-E, Gottrand F, Graça AP, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøntved A, Grosso G, Gruden G, Gu D, Gualdi-Russo E, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter M, Guo X, Guo Y, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Hadaegh F, Hadjigeorgiou CA, Haghshenas R, Halkjær J, Hardy R, Hari Kumar R, Hassapidou M, Hata J, Haugsgjerd T, He J, He Y, Heidinger-Felso R, Heinen M, Hejgaard T, Hendriks ME, Henriques A, Hernandez Cadena L, Herrala S, Herrera VM, Herter-Aeberli I, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Hofman A, Hopman WM, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Huerta JM, Huhtaniemi IT, Huidumac Petrescu C, Huisman M, Husseini A, Huu CN, Huybrechts I, Hwalla N, Hyska J, Iacoviello L, Ibarluzea JM, Ibrahim MM, Ibrahim Wong N, Ikram MA, Irazola VE, Ishida T, Islam M, Ismail A-S, Ivkovic V, Iwasaki M, Jääskeläinen T, Jackson RT, Jacobs JM, Jaddou H, Jafar T, James K, Jamil KM, Jamrozik K, Janszky I, Janus E, Jarani J, Jarvelin M-R, Jasienska G, Jelakovic A, Jelakovic B, Jennings G, Jeong S-L, Jiang CQ, Jimenez RO, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Jovic DP, Józwiak J, Juolevi A, Jurak G, Juresa V, Kaaks R, Kafatos A, Kajantie EO, Kalter-Leibovici O, Kamaruddin NA, Kameli Y, Kapantais E, Karki KB, Kasaeian A, Katibeh M, Katz J, Katzmarzyk PT, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva G, Keil U, Keinan-Boker L, Keinänen-Kiukaanniemi S, Kelishadi R, Kelleher C, Kemper HCG, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khateeb M, Khaw K-T, Kheiri B, Khosravi A, Khouw IMSL, Kiechl S, Kiechl-Kohlendorfer U, Killewo J, Kim J, Kim Y-Y, Klimont J, Klumbiene J, Knoflach M, Koirala B, Kolle E, Kolsteren P, König J, Korpelainen R, Korrovits P, Korzycka M, Koskinen S, Kouda K, Kovacs VA, Kowlessur S, Koziel S, Kratzer W, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kuciene R, Kuh D, Kujala UM, Kujundzic E, Kulaga Z, Kumar RK, Kunešová M, Kurjata P, Kusuma YS, Kuulasmaa K, Kyobutungi C, La QN, Laamiri FZ, Laatikainen T, Lachat C, Laid Y, Lam TH, Lang Morovic M, Lanska V, Lappas G, Larijani B, Latt TS, Laugsand LE, Lauria L, Lazo-Porras M, Le Nguyen Bao K, Le Port A, Le TD, Lee J, Lee PH, Lehtimäki T, Lemogoum D, Levitt NS, Lilly CL, Lim W-Y, Lima-Costa MF, Lin H-H, Lin X, Lind L, Linneberg A, Lissner L, Litwin M, Liu J, Loit H-M, Lopes L, Lopez T, López-García E, Lorbeer R, Lotufo PA, Lozano JE, Luksiene D, Lundqvist A, Lundqvist R, Lunet N, Lytsy P, Ma G, Ma J, Machado-Coelho GLL, Machado-Rodrigues AM, Machi S, Maggi S, Magliano DJ, Magriplis E, Maire B, Majer M, Makdisse M, Malekzadeh F, Malekzadeh R, Malhotra R, Malyutina S, Maniego LV, Manios Y, Mann JI, Manzato E, Margozzini P, Markaki A, Markey O, Markidou Ioannidou E, Marques LP, Marques-Vidal P, Marrugat J, Martin R, Martin-Prevel Y, Martorell R, Martos E, Marventano S, Masoodi SR, Mathiesen EB, Mathur P, Matijasevich A, Matsha TE, Mazur A, Mbanya JCN, McFarlane SR, McKee M, McLachlan S, McLean RM, McLean SB, McNulty BA, Md Yusof S, Mediene-Benchekor S, Medzioniene J, Mehdipour P, Meirhaeghe A, Meisfjord J, Meisinger C, Menezes AMB, Menon GR, Mensink GBM, Mereke A, Meshram II, Metspalu A, Meyer HE, Mi J, Michaelsen KF, Michels N, Mikkel K, Miller JC, Minderico CS, Miquel JF, Mirkopoulou D, Mirrakhimov E, Misigoj-Durakovic M, Mistretta A, Mocanu V, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohammad K, Mohammadifard N, Mohan V, Mohanna S, Mohd Yusoff MF, Mohebi F, Moitry M, Molbo D, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monterrubio EA, Monyeki KDK, Moon JS, Moreira LB, Morejon A, Moreno LA, Morgan K, Morin S, Mortensen EL, Moschonis G, Mossakowska M, Mota J, Mota-Pinto A, Motlagh ME, Motta J, Msyamboza KP, Mu TT, Muc M, Mugoša B, Muiesan ML, Mukhtorova P, Müller-Nurasyid M, Murphy N, Mursu J, Murtagh EM, Milanovic SM, Musil V, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nankap M, 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A, Plans-Rubió P, Poh BK, Pohlabeln H, Pop RM, Popovic SR, Porta M, Portegies MLP, Posch G, Poulimeneas D, Pouraram H, Pourshams A, Poustchi H, Pradeepa R, Price AJ, Price JF, Puder JJ, Pudule I, Puhakka SE, Puiu M, Punab M, Qasrawi RF, Qorbani M, Quoc Bao T, Radhika MS, Radic I, Radisauskas R, Rahman M, Raitakari O, Raj M, Rajkumar H, Rakhmatulloev S, Ramachandra Rao S, Ramachandran A, Ramke J, Ramos E, Ramos R, Rampal L, Rampal S, Rao KM, Rascon-Pacheco RA, Rasmussen M, Redon J, Reganit PFM, Regecová V, Revilla L, Ribas-Barba L, Ribeiro R, Riboli E, Rigo F, Rinaldo N, Rinke de Wit TF, Rito A, Ritti-Dias RM, Rivera JA, Robitaille C, Rodrigues D, Rodríguez-Artalejo F, Rodriguez-Perez MC, Rodríguez-Villamizar LA, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Rosengren A, Rouse I, Roy JGR, Rubinstein A, Rühli FJ, Ruidavets J-B, Ruiz Moreno E, Ruiz-Betancourt BS, Russo P, Rust P, Rutkowski M, Sabanayagam C, Sachdev HS, Safiri S, Saidi O, Salanave B, Salazar-Martinez E, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sandjaja, Sans S, Santa-Marina L, Santos DA, Santos IS, Santos O, Santos R, Sanz SS, Saramies JL, Sardinha LB, Sarrafzadegan N, Saum K-U, Savva S, Savy M, Scazufca M, Schaffrath Rosario A, Schargrodsky H, Schienkiewitz A, Schindler K, Schipf S, Schmidt CO, Schmidt IM, Schöttker B, Schultsz C, Schutte AE, Sebert S, Sein AA, Selamat R, Sember V, Sen A, Senbanjo IO, Sepanlou SG, Sequera V, Serra-Majem L, Servais J, Shalnova SA, Sharma SK, Shaw JE, Shengelia L, Shibuya K, Shimizu-Furusawa H, Shin DW, Shin Y, Siani A, Siantar R, Sibai AM, Silva AM, Silva DAS, Simon M, Simons J, Simons LA, Si-Ramlee K, Sjöberg A, Sjöström M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Snijder MB, So H-K, Sobngwi E, Söderberg S, Soekatri MYE, Soemantri A, Solfrizzi V, Sonestedt E, Song Y, Sørensen TIA, Sossa Jérome C, Soumaré A, Spinelli A, Spiroski I, Staessen JA, Stamm H, Stathopoulou MG, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, 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Vanderschueren D, Vanuzzo D, Varela-Moreiras G, Varona-Pérez P, Vatten L, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Vineis P, Vioque J, Virtanen JK, Visser M, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Völzke H, Voutilainen A, Voutilainen S, Vrijheid M, Vrijkotte TGM, Wade AN, Wagner A, Waldhör T, Walton J, Wan Bebakar WM, Wan Mohamud WN, Wanderley RS, Jr, Wang M-D, Wang Q, Wang X, Wang YX, Wang Y-W, Wannamethee SG, Wareham N, Weber A, Weerasekera D, Weghuber D, Wei W, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Willeit P, Wilsgaard T, Wojtyniak B, Wong JE, Wong TY, Wong-McClure RA, Woo J, Woodward M, Wu FC, Wu J, Wu S, Xu H, Xu L, Yamborisut U, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yaseri M, Ye X, Yiallouros PK, Yngve A, Yoosefi M, Yoshihara A, You QS, You S-L, Younger-Coleman NO, Yusoff AF, Zaccagni L, Zafiropulos V, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zaw KK, Zdrojewski T, Zeljkovic Vrkic T, Zeng Y, Zhao D, Zhao W, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zhussupov B, Zimmermann E, Zuñiga Cisneros J, Ezzati M, Yiallouros, Panayiotis K. [0000-0002-8339-9285], APH - Societal Participation & Health, APH - Aging & Later Life, Epidemiology and Data Science, Public and occupational health, APH - Health Behaviors & Chronic Diseases, and APH - Personalized Medicine
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Male ,Rural Population ,obesity ,Obesity, body mass index ,Settore MED/09 - Medicina Interna ,Letter ,Urban Population ,Epidemiology ,[SDV]Life Sciences [q-bio] ,humanos ,body-mass index ,adolescente ,Geographic Mapping ,Sex Factor ,países desarrollados ,Rural Health ,purl.org/pe-repo/ocde/ford#3.03.09 [https] ,systematic analysis ,Body Mass Index ,países en desarrollo ,80 and over ,risk factors ,Age Factor ,physical-activity ,mediana edad ,mapeo geográfico ,Aged, 80 and over ,anciano ,purl.org/pe-repo/ocde/ford#3.02.18 [https] ,dieta ,Age Factors ,health ,adulto ,Middle Aged ,Multidisciplinary Sciences ,adulto joven ,[SDV] Life Sciences [q-bio] ,estado nutricional ,nutrition ,Science & Technology - Other Topics ,NUTRITION ,Female ,HEALTH ,pooled analysis ,Diet, Healthy ,worldwide trends ,Human ,Developed Countrie ,Adult ,Adolescent ,purl.org/pe-repo/ocde/ford#3.03.04 [https] ,FOOD SYSTEM ,Socio-culturale ,Nutritional Status ,URBAN ,Aged ,Developed Countries ,Developing Countries ,Humans ,Obesity ,Sex Factors ,Urban Health ,Young Adult ,POOLED ANALYSIS ,Developing Countrie ,MIDDLE-INCOME COUNTRIES ,SYSTEMATIC ANALYSIS ,Urban rural Obesity Body-Mass-Index ,obesidad ,Middle-income countries ,food system ,urban ,weight ,Healthy ,Science & Technology ,índice de masa corporal ,Diet ,PHYSICAL-ACTIVITY ,WORLDWIDE TRENDS ,Risk factors ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,WEIGHT - Abstract
Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories., This study was funded by the Wellcome Trust. H.B. was supported by a Medical Research Council Doctoral Training Partnership Studentship, J.B. by a Royal Society Research Grant, and M.D.C. by an Academy of Medical Sciences Springboard Award. We thank L. Jaacks, B. Popkin, S. Sundberg and W. Willett for recommendations of relevant citations. The authors are responsible for the views expressed in this Letter and they do not necessarily represent the views, decisions, or policies of the institutions with which they are affiliated.
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- 2019
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15. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults
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NCD Risk Factor Collaboration (NCD-RisC), Abarca-Gómez, L., Abdeen, Z.A., Hamid, Z.A., Abu-Rmeileh, N.M., Acosta-Cazares, B., Acuin, C., Adams, R.J., Aekplakorn, W., Afsana, K., Aguilar-Salinas, C.A., Agyemang, C., Ahmadvand, A., Ahrens, W., Ajlouni, K., Akhtaeva, N., Al-Hazzaa, H.M., Al-Othman, A.R., Al-Raddadi, R., Al Buhairan, F., Al Dhukair, S., Ali, M.M., Ali, O., Alkerwi, A., Alvarez-Pedrerol, M., Aly, E., Amarapurkar, D.N., Amouyel, P., Amuzu, A., Andersen, L.B., Anderssen, S.A., Andrade, D.S., Ängquist, L.H., Anjana, R.M., Aounallah-Skhiri, H., Araújo, J., Ariansen, I., Aris, T., Arlappa, N., Arveiler, D., Aryal, K.K., Aspelund, T., Assah, F.K., Assunção, MCF, Aung, M.S., Avdicová, M., Azevedo, A., Azizi, F., Babu, B.V., Bahijri, S., Baker, J.L., Balakrishna, N., Bamoshmoosh, M., Banach, M., Bandosz, P., Banegas, J.R., Barbagallo, C.M., Barceló, A., Barkat, A., Barros, A.J., Barros, M.V., Bata, I., Batieha, A.M., Batista, R.L., Batyrbek, A., Baur, L.A., Beaglehole, R., Romdhane, H.B., Benedics, J., Benet, M., Bennett, J.E., Bernabe-Ortiz, A., Bernotiene, G., Bettiol, H., Bhagyalaxmi, A., Bharadwaj, S., Bhargava, S.K., Bhatti, Z., Bhutta, Z.A., Bi, H., Bi, Y., Biehl, A., Bikbov, M., Bista, B., Bjelica, D.J., Bjerregaard, P., Bjertness, E., Bjertness, M.B., Björkelund, C., Blokstra, A., Bo, S., Bobak, M., Boddy, L.M., Boehm, B.O., Boeing, H., Boggia, J.G., Boissonnet, C.P., Bonaccio, M., Bongard, V., Bovet, P., Braeckevelt, L., Braeckman, L., Bragt, M.C., Brajkovich, I., Branca, F., Breckenkamp, J., Breda, J., Brenner, H., Brewster, L.M., Brian, G.R., Brinduse, L., Bruno, G., Bueno-de-Mesquita, HBA, Bugge, A., Buoncristiano, M., Burazeri, G., Burns, C., de León, A.C., Cacciottolo, J., Cai, H., Cama, T., Cameron, C., Camolas, J., Can, G., Cândido, APC, Capanzana, M., Capuano, V., Cardoso, V.C., Carlsson, A.C., Carvalho, M.J., Casanueva, F.F., Casas, J.P., Caserta, C.A., Chamukuttan, S., Chan, A.W., Chan, Q., Chaturvedi, H.K., Chaturvedi, N., Chen, C.J., Chen, F., Chen, H., Chen, S., Chen, Z., Cheng, C.Y., Chetrit, A., Chikova-Iscener, E., Chiolero, A., Chiou, S.T., Chirita-Emandi, A., Chirlaque, M.D., Cho, B., Cho, Y., Christensen, K., Christofaro, D.G., Chudek, J., Cifkova, R., Cinteza, E., Claessens, F., Clays, E., Concin, H., Confortin, S.C., Cooper, C., Cooper, R., Coppinger, T.C., Costanzo, S., Cottel, D., Cowell, C., Craig, C.L., Crujeiras, A.B., Cucu, A., D'Arrigo, G., d'Orsi, E., Dallongeville, J., Damasceno, A., Damsgaard, C.T., Danaei, G., Dankner, R., Dantoft, T.M., Dastgiri, S., Dauchet, L., Davletov, K., De Backer, G., De Bacquer, D., De Curtis, A., de Gaetano, G., De Henauw, S., de Oliveira, P.D., De Ridder, K., De Smedt, D., Deepa, M., Deev, A.D., Dehghan, A., Delisle, H., Delpeuch, F., Deschamps, V., Dhana, K., Di Castelnuovo, A.F., Dias-da-Costa, J.S., Diaz, A., Dika, Z., Djalalinia, S., Do, H.T., Dobson, A.J., Donati, M.B., Donfrancesco, C., Donoso, S.P., Döring, A., Dorobantu, M., Dorosty, A.R., Doua, K., Drygas, 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Zheng, W., Zheng, Y., Zholdin, B., Zhou, M., Zhu, D., Zhussupov, B., Zimmermann, E., Cisneros, J.Z., Bentham, J., Di Cesare, M., Bilano, V., Bixby, H., Zhou, B., Stevens, G.A., Riley, L.M., Taddei, C., Hajifathalian, K., Lu, Y., Savin, S., Cowan, M.J., Paciorek, C.J., Zhu, A., and Ezzati, M.
- Abstract
Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. We pooled 2416 population-based studies with measurements of height and weight on 128·9 million participants aged 5 years and older, including 31·5 million aged 5-19 years. We used a Bayesian hierarchical model to estimate trends from 1975 to 2016 in 200 countries for mean BMI and for prevalence of BMI in the following categories for children and adolescents aged 5-19 years: more than 2 SD below the median of the WHO growth reference for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity). Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (-0·01 kg/m2 per decade; 95% credible interval -0·42 to 0·39, posterior probability [PP] of the observed decrease being a true decrease=0·5098) in eastern Europe to an increase of 1·00 kg/m2 per decade (0·69-1·35, PP>0·9999) in central Latin America and an increase of 0·95 kg/m2 per decade (0·64-1·25, PP>0·9999) in Polynesia and Micronesia. The range for boys was from a non-significant increase of 0·09 kg/m2 per decade (-0·33 to 0·49, PP=0·6926) in eastern Europe to an increase of 0·77 kg/m2 per decade (0·50-1·06, PP>0·9999) in Polynesia and Micronesia. Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls. By contrast, the rise in BMI has accelerated in east and south Asia for both sexes, and southeast Asia for boys. Global age-standardised prevalence of obesity increased from 0·7% (0·4-1·2) in 1975 to 5·6% (4·8-6·5) in 2016 in girls, and from 0·9% (0·5-1·3) in 1975 to 7·8% (6·7-9·1) in 2016 in boys; the prevalence of moderate and severe underweight decreased from 9·2% (6·0-12·9) in 1975 to 8·4% (6·8-10·1) in 2016 in girls and from 14·8% (10·4-19·5) in 1975 to 12·4% (10·3-14·5) in 2016 in boys. Prevalence of moderate and severe underweight was highest in India, at 22·7% (16·7-29·6) among girls and 30·7% (23·5-38·0) among boys. Prevalence of obesity was more than 30% in girls in Nauru, the Cook Islands, and Palau; and boys in the Cook Islands, Nauru, Palau, Niue, and American Samoa in 2016. Prevalence of obesity was about 20% or more in several countries in Polynesia and Micronesia, the Middle East and north Africa, the Caribbean, and the USA. In 2016, 75 (44-117) million girls and 117 (70-178) million boys worldwide were moderately or severely underweight. In the same year, 50 (24-89) million girls and 74 (39-125) million boys worldwide were obese. The rising trends in children's and adolescents' BMI have plateaued in many high-income countries, albeit at high levels, but have accelerated in parts of Asia, with trends no longer correlated with those of adults. Wellcome Trust, AstraZeneca Young Health Programme.
- Published
- 2017
16. Methodology and implementation of the WHO European Childhood Obesity Surveillance Initiative (COSI).
- Author
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Breda J, McColl K, Buoncristiano M, Williams J, Abdrakhmanova S, Abdurrahmonova Z, Ahrens W, Akhmedova D, Bakacs M, Boer JMA, Boymatova K, Brinduse LA, Cucu A, Duleva V, Endevelt R, Sant'Angelo VF, Fijałkowska A, Hadžiomeragić AF, García-Solano M, Grøholt EK, Gualtieri A, Hassapidou M, Hejgaard T, Hyska J, Kelleher CC, Kujundžić E, Mäki P, Markidou Ioannidou E, Melkumova M, Moyersoen I, Milanović SM, Nurk E, Ostojic SM, Peterkova V, Petrauskienė A, Pudule I, Rito AI, Russell Jonsson K, Rutter H, Salanave B, Seyidov N, Shengelia L, Silitrari N, Spinelli A, Spiroski I, Starc G, Stojisavljević D, Tanrygulyyeva M, Tichá Ľ, Usupova Z, Weghuber D, Yardim N, Zamrazilová H, Zbanatskyi V, Branca F, Weber M, and Rakovac I
- Subjects
- Child, Exercise, Humans, Overweight, Prevalence, Schools, World Health Organization, Pediatric Obesity epidemiology
- Abstract
Establishment of the WHO European Childhood Obesity Surveillance Initiative (COSI) has resulted in a surveillance system which provides regular, reliable, timely, and accurate data on children's weight status-through standardized measurement of bodyweight and height-in the WHO European Region. Additional data on dietary intake, physical activity, sedentary behavior, family background, and school environments are collected in several countries. In total, 45 countries in the European Region have participated in COSI. The first five data collection rounds, between 2007 and 2021, yielded measured anthropometric data on over 1.3 million children. In COSI, data are collected according to a common protocol, using standardized instruments and procedures. The systematic collection and analysis of these data enables intercountry comparisons and reveals differences in the prevalence of childhood thinness, overweight, normal weight, and obesity between and within populations. Furthermore, it facilitates investigation of the relationship between overweight, obesity, and potential risk or protective factors and improves the understanding of the development of overweight and obesity in European primary-school children in order to support appropriate and effective policy responses., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)
- Published
- 2021
- Full Text
- View/download PDF
17. Socioeconomic differences in food habits among 6- to 9-year-old children from 23 countries-WHO European Childhood Obesity Surveillance Initiative (COSI 2015/2017).
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Fismen AS, Buoncristiano M, Williams J, Helleve A, Abdrakhmanova S, Bakacs M, Bergh IH, Boymatova K, Duleva V, Fijałkowska A, García-Solano M, Gualtieri A, Gutiérrez-González E, Hejgaard T, Huidumac-Petrescu C, Hyska J, Kelleher CC, Kierkegaard L, Kujundžić E, Kunešová M, Milanović SM, Nardone P, Nurk E, Ostojic SM, Ozcebe LH, Peterkova V, Petrauskiene A, Pudule I, Rakhmatulleoeva S, Rakovac I, Rito AI, Rutter H, Sacchini E, Stojisavljević D, Farrugia Sant'Angelo V, Shengelia L, Spinelli A, Spiroski I, Tanrygulyyeva M, Usupova Z, Weghuber D, and Breda J
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- Child, Cross-Sectional Studies, Diet, Feeding Behavior, Humans, Parents, Socioeconomic Factors, Surveys and Questionnaires, World Health Organization, Pediatric Obesity epidemiology
- Abstract
Background: Socioeconomic differences in children's food habits are a key public health concern. In order to inform policy makers, cross-country surveillance studies of dietary patterns across socioeconomic groups are required. The purpose of this study was to examine associations between socioeconomic status (SES) and children's food habits., Methods: The study was based on nationally representative data from children aged 6-9 years (n = 129,164) in 23 countries in the World Health Organization (WHO) European Region. Multivariate multilevel analyses were used to explore associations between children's food habits (consumption of fruit, vegetables, and sugar-containing soft drinks) and parental education, perceived family wealth and parental employment status., Results: Overall, the present study suggests that unhealthy food habits are associated with lower SES, particularly as assessed by parental education and family perceived wealth, but not parental employment status. We found cross-national and regional variation in associations between SES and food habits and differences in the extent to which the respective indicators of SES were related to children's diet., Conclusion: Socioeconomic differences in children's food habits exist in the majority of European and Asian countries examined in this study. The results are of relevance when addressing strategies, policy actions, and interventions targeting social inequalities in children's diets., (© 2021 The World Health Organization. Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation.)
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- 2021
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18. Waist circumference and waist-to-height ratio in 7-year-old children-WHO Childhood Obesity Surveillance Initiative.
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Taxová Braunerová R, Kunešová M, Heinen MM, Rutter H, Hassapidou M, Duleva V, Pudule I, Petrauskienė A, Sjöberg A, Lissner L, Spiroski I, Gutiérrez-González E, Kelleher CC, Bergh IH, Metelcová T, Vignerová J, Brabec M, Buoncristiano M, Williams J, Simmonds P, Zamrazilová H, Hainer V, Yngve A, Rakovac I, and Breda J
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- Body Height, Body Mass Index, Child, Female, Humans, Male, Obesity, Abdominal epidemiology, Waist Circumference, Waist-Height Ratio, World Health Organization, Pediatric Obesity epidemiology
- Abstract
Childhood obesity is a serious global health problem. Waist circumference (WC) and waist-to-height ratio (WHtR) reflect body fat distribution in children. The objectives of this study were to assess WC and WHtR in 7-year-old children and to determine body mass index (BMI), WC, and WHtR differences in children from 10 selected countries across Europe (Bulgaria, Czechia, Greece, Ireland, Latvia, Lithuania, North Macedonia, Norway, Spain, and Sweden) participating in the World Health Organization (WHO) Europe Childhood Obesity Surveillance Initiative (COSI). The 50th and 90th percentile of WC (according to COSI and "Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS" (IDEFICS) cutoff values) and WHtR above 0.5 were used as measures of abdominal obesity in a unique sample of 38,975 children aged 7.00-7.99 years. Southern European countries, including Greece and Spain, showed significantly higher BMI, WC, and WHtRin both genders (p < 0.0001) than Eastern and Northern Europe. The highest values for WC were observed in Greece (60.8 ± 7.36 cm boys; 60.3 ± 7.48 cm girls), North Macedonia (60.4 ± 7.91 cm boys; 59.0 ± 8.01 cm girls), and Spain (59.7 ± 6.96 cm boys; 58.9 ± 6.77 cm girls). WC and WHtRin may add an information about the occurrence of central obesity in children., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)
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- 2021
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19. Socioeconomic inequalities in overweight and obesity among 6- to 9-year-old children in 24 countries from the World Health Organization European region.
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Buoncristiano M, Williams J, Simmonds P, Nurk E, Ahrens W, Nardone P, Rito AI, Rutter H, Bergh IH, Starc G, Jonsson KR, Spinelli A, Vandevijvere S, Mäki P, Milanović SM, Salanave B, Yardim MS, Hejgaard T, Fijałkowska A, Abdrakhmanova S, Abdurrahmonova Z, Duleva V, Farrugia Sant'Angelo V, García-Solano M, Gualtieri A, Gutiérrez-González E, Huidumac-Petrescu C, Hyska J, Kelleher CC, Kujundžić E, Peterkova V, Petrauskiene A, Pudule I, Sacchini E, Shengelia L, Tanrygulyyeva M, Taxová Braunerová R, Usupova Z, Maruszczak K, Ostojic SM, Spiroski I, Stojisavljević D, Wickramasinghe K, and Breda J
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- Child, Cross-Sectional Studies, Humans, Prevalence, Social Class, Socioeconomic Factors, World Health Organization, Overweight epidemiology, Pediatric Obesity epidemiology
- Abstract
Childhood overweight and obesity have significant short- and long-term negative impacts on children's health and well-being. These challenges are unequally distributed according to socioeconomic status (SES); however, previous studies have often lacked standardized and objectively measured data across national contexts to assess these differences. This study provides a cross-sectional picture of the association between SES and childhood overweight and obesity, based on data from 123,487 children aged 6-9 years in 24 countries in the World Health Organization (WHO) European region. Overall, associations were found between overweight/obesity and the three SES indicators used (parental education, parental employment status, and family-perceived wealth). Our results showed an inverse relationship between the prevalence of childhood overweight/obesity and parental education in high-income countries, whereas the opposite relationship was observed in most of the middle-income countries. The same applied to family-perceived wealth, although parental employment status appeared to be less associated with overweight and obesity or not associated at all. This paper highlights the need for close attention to context when designing interventions, as the association between SES and childhood overweight and obesity varies by country economic development. Population-based interventions have an important role to play, but policies that target specific SES groups are also needed to address inequalities., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)
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- 2021
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20. Mobilizing governments and society to combat obesity: Reflections on how data from the WHO European Childhood Obesity Surveillance Initiative are helping to drive policy progress.
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Breda J, Farrugia Sant'Angelo V, Duleva V, Galeone D, Heinen MM, Kelleher CC, Menzano MT, Musić Milanović S, Mitchell L, Pudule I, Rito AI, Shengelia L, Spinelli A, Spiroski I, Yardim N, Buoncristiano M, Williams J, Rakovac I, and McColl K
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- Child, Government, Humans, Overweight, Policy, World Health Organization, Pediatric Obesity epidemiology, Pediatric Obesity prevention & control
- Abstract
To meet the need for regular and reliable data on the prevalence of overweight and obesity among children in Europe, the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative (COSI) was established in 2007. The resulting robust surveillance system has improved understanding of the public health challenge of childhood overweight and obesity in the WHO European Region. For the past decade, data from COSI have helped to inform and drive policy action on nutrition and physical activity in the region. This paper describes illustrative examples of how COSI data have fed into national and international policy, but the real scope of COSI's impact is likely to be much broader. In some countries, there are signs that policy responses to COSI data have helped halt the rise in childhood obesity. As the countries of the WHO European Region commit to pursuing United Action for Better Health in Europe in WHO's new European Programme of Work, COSI provides an excellent example of such united action in practice. Further collaborative action will be key to tackling this major public health challenge which affects children throughout the region., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)
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- 2021
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21. Urban and rural differences in frequency of fruit, vegetable, and soft drink consumption among 6-9-year-old children from 19 countries from the WHO European region.
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Heinen MM, Bel-Serrat S, Kelleher CC, Buoncristiano M, Spinelli A, Nardone P, Milanović SM, Rito AI, Bosi ATB, Gutiérrrez-González E, Pudule I, Abdrakhmanova S, Abdurrahmonova Z, Brinduse LA, Cucu A, Duleva V, Fijałkowska A, Gualtieri A, Hejgaard T, Hyska J, Kujundžić E, Petrauskiene A, Sacchini E, Shengelia L, Tanrygulyyeva M, Usupova Z, Bergh IH, Weghuber D, Taxová Braunerová R, Kunešová M, Sant'Angelo VF, Nurk E, Ostojic SM, Spiroski I, Tichá Ľ, Rutter H, Williams J, Boymatova K, Rakovac I, Weber MW, and Breda J
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- Carbonated Beverages, Child, Cross-Sectional Studies, Diet, Feeding Behavior, Fruit, Humans, Internationality, Surveys and Questionnaires, Vegetables, World Health Organization, Access to Healthy Foods, Pediatric Obesity epidemiology, Pediatric Obesity prevention & control
- Abstract
In order to address the paucity of evidence on the association between childhood eating habits and urbanization, this cross-sectional study describes urban-rural differences in frequency of fruit, vegetable, and soft drink consumption in 123,100 children aged 6-9 years from 19 countries participating in the fourth round (2015-2017) of the WHO European Childhood Obesity Surveillance Initiative (COSI). Children's parents/caregivers completed food-frequency questionnaires. A multivariate multilevel logistic regression analysis was performed and revealed wide variability among countries and within macroregions for all indicators. The percentage of children attending rural schools ranged from 3% in Turkey to 70% in Turkmenistan. The prevalence of less healthy eating habits was high, with between 30-80% and 30-90% children not eating fruit or vegetables daily, respectively, and up to 45% consuming soft drinks on >3 days a week. For less than one third of the countries, children attending rural schools had higher odds (OR-range: 1.1-2.1) for not eating fruit or vegetables daily or consuming soft drinks >3 days a week compared to children attending urban schools. For the remainder of the countries no significant associations were observed. Both population-based interventions and policy strategies are necessary to improve access to healthy foods and increase healthy eating behaviors among children., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)
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- 2021
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22. Socioeconomic disparities in physical activity, sedentary behavior and sleep patterns among 6- to 9-year-old children from 24 countries in the WHO European region.
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Musić Milanović S, Buoncristiano M, Križan H, Rathmes G, Williams J, Hyska J, Duleva V, Zamrazilová H, Hejgaard T, Jørgensen MB, Salanave B, Shengelia L, Kelleher CC, Spinelli A, Nardone P, Abdrakhmanova S, Usupova Z, Pudule I, Petrauskiene A, Farrugia Sant'Angelo V, Kujundžić E, Fijałkowska A, Rito AI, Cucu A, Brinduse LA, Peterkova V, Gualtieri A, García-Solano M, Gutiérrez-González E, Boymatova K, Yardim MS, Tanrygulyyeva M, Melkumova M, Weghuber D, Nurk E, Mäki P, Bergh IH, Ostojic SM, Russell Jonsson K, Spiroski I, Rutter H, Ahrens W, Rakovac I, Whiting S, and Breda J
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- Child, Child Behavior, Cross-Sectional Studies, Exercise, Humans, Sleep, Social Class, Socioeconomic Factors, World Health Organization, Pediatric Obesity epidemiology, Sedentary Behavior
- Abstract
Physical activity, sedentary behavior, and sleep are important predictors of children's health. This paper aimed to investigate socioeconomic disparities in physical activity, sedentary behavior, and sleep across the WHO European region. This cross-sectional study used data on 124,700 children aged 6 to 9 years from 24 countries participating in the WHO European Childhood Obesity Surveillance Initiative between 2015 and 2017. Socioeconomic status (SES) was measured through parental education, parental employment status, and family perceived wealth. Overall, results showed different patterns in socioeconomic disparities in children's movement behaviors across countries. In general, high SES children were more likely to use motorized transportation. Low SES children were less likely to participate in sports clubs and more likely to have more than 2 h/day of screen time. Children with low parental education had a 2.24 [95% CI 1.94-2.58] times higher risk of practising sports for less than 2 h/week. In the pooled analysis, SES was not significantly related to active play. The relationship between SES and sleep varied by the SES indicator used. Importantly, results showed that low SES is not always associated with a higher prevalence of "less healthy" behaviors. There is a great diversity in SES patterns across countries which supports the need for country-specific, targeted public health interventions., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)
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- 2021
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23. Thinness, overweight, and obesity in 6- to 9-year-old children from 36 countries: The World Health Organization European Childhood Obesity Surveillance Initiative-COSI 2015-2017.
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Spinelli A, Buoncristiano M, Nardone P, Starc G, Hejgaard T, Júlíusson PB, Fismen AS, Weghuber D, Musić Milanović S, García-Solano M, Rutter H, Rakovac I, Cucu A, Brinduse LA, Rito AI, Kovacs VA, Heinen MM, Nurk E, Mäki P, Abdrakhmanova S, Rakhmatulleoeva S, Duleva V, Farrugia Sant'Angelo V, Fijałkowska A, Gualtieri A, Sacchini E, Hassapidou M, Hyska J, Kelleher CC, Kujundžić E, Kunešová M, Markidou Ioannidou E, Ostojic SM, Peterkova V, Petrauskienė A, Popović S, Pudule I, Russell Jonsson K, Dal-Re Saavedra MÁ, Salanave B, Shengelia L, Spiroski I, Tanrygulyyeva M, Tichá Ľ, Usupova Z, Ozcebe LH, Abildina A, Schindler K, Weber MW, Filipović Hadžiomeragić A, Melkumova M, Stojisavljević D, Boymatova K, Williams J, and Breda J
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- Body Mass Index, Child, Female, Humans, Male, Overweight epidemiology, Prevalence, World Health Organization, Pediatric Obesity epidemiology, Thinness epidemiology
- Abstract
In 2015-2017, the fourth round of the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative (COSI) was conducted in 36 countries. National representative samples of children aged 6-9 (203,323) were measured by trained staff, with similar equipment and using a standardized protocol. This paper assesses the children's body weight status and compares the burden of childhood overweight, obesity, and thinness in Northern, Eastern, and Southern Europe and Central Asia. The results show great geographic variability in height, weight, and body mass index. On average, the children of Northern Europe were the tallest, those of Southern Europe the heaviest, and the children living in Central Asia the lightest and the shortest. Overall, 28.7% of boys and 26.5% of girls were overweight (including obesity) and 2.5% and 1.9%, respectively, were thin according to the WHO definitions. The prevalence of obesity varied from 1.8% of boys and 1.1% of girls in Tajikistan to 21.5% and 19.2%, respectively, in Cyprus, and tended to be higher for boys than for girls. Levels of thinness, stunting, and underweight were relatively low, except in Eastern Europe (for thinness) and in Central Asia. Despite the efforts to halt it, unhealthy weight status is still an important problem in the WHO European Region., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)
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- 2021
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24. Childhood overweight and obesity in Europe: Changes from 2007 to 2017.
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Buoncristiano M, Spinelli A, Williams J, Nardone P, Rito AI, García-Solano M, Grøholt EK, Gutiérrez-González E, Klepp KI, Starc G, Petrauskienė A, Kunešová M, Hassapidou M, Pérez-Farinós N, Pudule I, Kelleher CC, Duleva V, Rakovac I, Chatterjee S, and Breda J
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- Body Mass Index, Child, Europe epidemiology, Female, Humans, Male, Overweight epidemiology, Prevalence, Schools, Pediatric Obesity epidemiology
- Abstract
The Childhood Obesity Surveillance Initiative (COSI) routinely measures height and weight of primary school children aged 6-9 years and calculates overweight and obesity prevalence within the World Health Organization (WHO) European Region using a standard methodology. This study examines the trends in the prevalence of overweight and obesity from the first round of COSI carried out in 2007/2008 to the latest of 2015/2017 in 11 European countries in which data were collected for at least three rounds. In total 303,155 children were measured. In general, the prevalence of overweight and obesity among boys and girls decreased in countries with high prevalence (Southern Europe) and remained stable or slightly increased in Northern European and Eastern European countries included in the analysis. Among boys, the highest decrease in overweight (including obesity) was observed in Portugal (from 40.5% in 2007/2008 to 28.4 in 2015/2017) and in Greece for obesity (from 30.5% in 2009/2010 to 21.7% in 2015/2017). Lithuania recorded the strongest increase in the proportion of boys with overweight (from 24.8% to 28.5%) and obesity (from 9.4% to 12.2%). The trends were similar for boys and girls in most countries. Several countries in Europe have successfully implemented policies and interventions to counteract the increase of overweight and obesity, but there is still much to be done., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)
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- 2021
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25. Parental Perceptions of Children's Weight Status in 22 Countries: The WHO European Childhood Obesity Surveillance Initiative: COSI 2015/2017.
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Ramos Salas X, Buoncristiano M, Williams J, Kebbe M, Spinelli A, Nardone P, Rito A, Duleva V, Musić Milanović S, Kunesova M, Braunerová RT, Hejgaard T, Rasmussen M, Shengelia L, Abdrakhmanova S, Abildina A, Usuopva Z, Hyska J, Burazeri G, Petrauskiene A, Pudule I, Sant'Angelo VF, Kujundzic E, Fijałkowska A, Cucu A, Brinduse LA, Peterkova V, Bogova E, Gualtieri A, Solano MG, Gutiérrez-González E, Rakhmatullaeva S, Tanrygulyyeva M, Yardim N, Weghuber D, Mäki P, Russell Jonsson K, Starc G, Juliusson PB, Heinen MM, Kelleher C, Ostojic S, Popovic S, Kovacs VA, Akhmedova D, Farpour-Lambert NJ, Rutter H, Li B, Boymatova K, Rakovac I, Wickramasinghe K, and Breda J
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- Body Mass Index, Body Weight, Child, Health Knowledge, Attitudes, Practice, Humans, Male, Overweight epidemiology, Parents, Surveys and Questionnaires, World Health Organization, Pediatric Obesity diagnosis, Pediatric Obesity epidemiology
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Introduction: Parents can act as important agents of change and support for healthy childhood growth and development. Studies have found that parents may not be able to accurately perceive their child's weight status. The purpose of this study was to measure parental perceptions of their child's weight status and to identify predictors of potential parental misperceptions., Methods: We used data from the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative and 22 countries. Parents were asked to identify their perceptions of their children's weight status as "underweight," "normal weight," "a little overweight," or "extremely overweight." We categorized children's (6-9 years; n = 124,296) body mass index (BMI) as BMI-for-age Z-scores based on the 2007 WHO-recommended growth references. For each country included in the analysis and pooled estimates (country level), we calculated the distribution of children according to the WHO weight status classification, distribution by parental perception of child's weight status, percentages of accurate, overestimating, or underestimating perceptions, misclassification levels, and predictors of parental misperceptions using a multilevel logistic regression analysis that included only children with overweight (including obesity). Statistical analyses were performed using Stata version 15 1., Results: Overall, 64.1% of parents categorized their child's weight status accurately relative to the WHO growth charts. However, parents were more likely to underestimate their child's weight if the child had overweight (82.3%) or obesity (93.8%). Parents were more likely to underestimate their child's weight if the child was male (adjusted OR [adjOR]: 1.41; 95% confidence intervals [CI]: 1.28-1.55); the parent had a lower educational level (adjOR: 1.41; 95% CI: 1.26-1.57); the father was asked rather than the mother (adjOR: 1.14; 95% CI: 0.98-1.33); and the family lived in a rural area (adjOR: 1.10; 95% CI: 0.99-1.24). Overall, parents' BMI was not strongly associated with the underestimation of children's weight status, but there was a stronger association in some countries., Discussion/conclusion: Our study supplements the current literature on factors that influence parental perceptions of their child's weight status. Public health interventions aimed at promoting healthy childhood growth and development should consider parents' knowledge and perceptions, as well as the sociocultural contexts in which children and families live., (© 2021 The Author(s). Published by S. Karger AG, Basel.)
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- 2021
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26. Physical Activity, Screen Time, and Sleep Duration of Children Aged 6-9 Years in 25 Countries: An Analysis within the WHO European Childhood Obesity Surveillance Initiative (COSI) 2015-2017.
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Whiting S, Buoncristiano M, Gelius P, Abu-Omar K, Pattison M, Hyska J, Duleva V, Musić Milanović S, Zamrazilová H, Hejgaard T, Rasmussen M, Nurk E, Shengelia L, Kelleher CC, Heinen MM, Spinelli A, Nardone P, Abildina A, Abdrakhmanova S, Aitmurzaeva G, Usuopva Z, Pudule I, Petrauskiene A, Sant'Angelo VF, Kujundzic E, Popovic S, Fismen AS, Bergh IH, Fijalkowska A, Rito AI, Cucu A, Brinduse LA, Peterkova V, Gualtieri A, García-Solano M, Gutiérrez-González E, Abdurrahmonova Z, Boymatova K, Yardim N, Tanrygulyyeva M, Weghuber D, Schindler K, Stojisavljević D, Filipović Hadžiomeragić A, Markidou Ionnaidu E, Ahrens W, Hassapidou M, Kovacs VA, Ostojic SM, Ticha L, Starc G, Russell Jonsson K, Spiroski I, Rutter H, Mendes R, Williams J, Rakovac I, and Breda J
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- Child, Europe, Female, Humans, Leisure Activities, Male, Motor Activity, Parents, Schools, Screen Time, Sports, World Health Organization, Exercise, Pediatric Obesity epidemiology, Sleep
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Background: Children are becoming less physically active as opportunities for safe active play, recreational activities, and active transport decrease. At the same time, sedentary screen-based activities both during school and leisure time are increasing., Objectives: This study aimed to evaluate physical activity (PA), screen time, and sleep duration of girls and boys aged 6-9 years in Europe using data from the WHO European Childhood Obesity Surveillance Initiative (COSI)., Method: The fourth COSI data collection round was conducted in 2015-2017, using a standardized protocol that included a family form completed by parents with specific questions about their children's PA, screen time, and sleep duration., Results: Nationally representative data from 25 countries was included and information on the PA behaviour, screen time, and sleep duration of 150,651 children was analysed. Pooled analysis showed that: 79.4% were actively playing for >1 h each day, 53.9% were not members of a sport or dancing club, 50.0% walked or cycled to school each day, 60.2% engaged in screen time for <2 h/day, and 84.9% slept for 9-11 h/night. Country-specific analyses of these behaviours showed pronounced differences, with national prevalences in the range of 61.7-98.3% actively playing for >1 h/day, 8.2-85.6% were not members of a sport or dancing club, 17.7-94.0% walked or cycled to school each day, 32.3-80.0% engaged in screen time for <2 h/day, and 50.0-95.8% slept for 9-11 h/night., Conclusions: The prevalence of engagement in PA and the achievement of healthy screen time and sleep duration are heterogenous across the region. Policymakers and other stakeholders, including school administrators and parents, should increase opportunities for young people to participate in daily PA as well as explore solutions to address excessive screen time and short sleep duration to improve the overall physical and mental health and well-being of children., (© 2020 The Author(s) Published by S. Karger AG, Basel.)
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- 2021
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27. A Snapshot of European Children's Eating Habits: Results from the Fourth Round of the WHO European Childhood Obesity Surveillance Initiative (COSI).
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Williams J, Buoncristiano M, Nardone P, Rito AI, Spinelli A, Hejgaard T, Kierkegaard L, Nurk E, Kunešová M, Musić Milanović S, García-Solano M, Gutiérrez-González E, Brinduse LA, Cucu A, Fijałkowska A, Farrugia Sant'Angelo V, Abdrakhmanova S, Pudule I, Duleva V, Yardim N, Gualtieri A, Heinen M, Bel-Serrat S, Usupova Z, Peterkova V, Shengelia L, Hyska J, Tanrygulyyeva M, Petrauskiene A, Rakhmatullaeva S, Kujundzic E, Ostojic SM, Weghuber D, Melkumova M, Spiroski I, Starc G, Rutter H, Rathmes G, Bunge AC, Rakovac I, Boymatova K, Weber M, and Breda J
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- Breakfast, Carbonated Beverages, Child, Cross-Sectional Studies, Europe epidemiology, Female, Fruit, Humans, Male, Snacks, Surveys and Questionnaires, Vegetables, Child Nutritional Physiological Phenomena physiology, Diet, Healthy, Eating physiology, Feeding Behavior physiology, Health Promotion, Malnutrition prevention & control, Noncommunicable Diseases prevention & control, Nutrition Surveys, Parents, Pediatric Obesity epidemiology, Pediatric Obesity prevention & control, World Health Organization
- Abstract
Consuming a healthy diet in childhood helps to protect against malnutrition and noncommunicable diseases (NCDs). This cross-sectional study described the diets of 132,489 children aged six to nine years from 23 countries participating in round four (2015-2017) of the WHO European Childhood Obesity Surveillance Initiative (COSI). Children's parents or caregivers were asked to complete a questionnaire that contained indicators of energy-balance-related behaviors (including diet). For each country, we calculated the percentage of children who consumed breakfast, fruit, vegetables, sweet snacks or soft drinks "every day", "most days (four to six days per week)", "some days (one to three days per week)", or "never or less than once a week". We reported these results stratified by country, sex, and region. On a daily basis, most children (78.5%) consumed breakfast, fewer than half (42.5%) consumed fruit, fewer than a quarter (22.6%) consumed fresh vegetables, and around one in ten consumed sweet snacks or soft drinks (10.3% and 9.4%, respectively); however, there were large between-country differences. This paper highlights an urgent need to create healthier food and drink environments, reinforce health systems to promote healthy diets, and continue to support child nutrition and obesity surveillance.
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- 2020
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28. Clustering of Multiple Energy Balance-Related Behaviors in School Children and its Association with Overweight and Obesity-WHO European Childhood Obesity Surveillance Initiative (COSI 2015⁻2017).
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Bel-Serrat S, Ojeda-Rodríguez A, Heinen MM, Buoncristiano M, Abdrakhmanova S, Duleva V, Sant'Angelo VF, Fijałkowska A, Hejgaard T, Huidumac C, Hyska J, Kujundzic E, Milanović SM, Ovezmyradova G, Pérez-Farinós N, Petrauskiene A, Rito AI, Shengelia L, Braunerová RT, Rutter H, Murrin CM, Kelleher CC, and Breda J
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- Child, Cluster Analysis, Europe, Exercise, Female, Humans, Male, World Health Organization, Energy Metabolism physiology, Health Behavior, Obesity epidemiology
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It is unclear how dietary, physical activity and sedentary behaviors co-occur in school-aged children. We investigated the clustering of energy balance-related behaviors and whether the identified clusters were associated with weight status. Participants were 6- to 9-year-old children ( n = 63,215, 49.9% girls) from 19 countries participating in the fourth round (2015/2017) of the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative. Energy balance-related behaviors were parentally reported. Weight and height were objectively measured. We performed cluster analysis separately per group of countries (North Europe, East Europe, South Europe/Mediterranean countries and West-Central Asia). Seven clusters were identified in each group. Healthier clusters were common across groups. The pattern of distribution of healthy and unhealthy behaviors within each cluster was group specific. Associations between the clustering of energy balance-related behaviors and weight status varied per group. In South Europe/Mediterranean countries and East Europe, all or most of the cluster solutions were associated with higher risk of overweight/obesity when compared with the cluster 'Physically active and healthy diet'. Few or no associations were observed in North Europe and West-Central Asia, respectively. These findings support the hypothesis that unfavorable weight status is associated with a particular combination of energy balance-related behavior patterns, but only in some groups of countries.
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- 2019
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29. Prevalence of Severe Obesity among Primary School Children in 21 European Countries.
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Spinelli A, Buoncristiano M, Kovacs VA, Yngve A, Spiroski I, Obreja G, Starc G, Pérez N, Rito AI, Kunešová M, Sant'Angelo VF, Meisfjord J, Bergh IH, Kelleher C, Yardim N, Pudule I, Petrauskiene A, Duleva V, Sjöberg A, Gualtieri A, Hassapidou M, Hyska J, Burazeri G, Petrescu CH, Heinen M, Takacs H, Zamrazilová H, Bosi TB, Sacchini E, Pagkalos I, Cucu A, Nardone P, Gately P, Williams J, and Breda J
- Subjects
- Adolescent, Child, Cross-Sectional Studies, Europe epidemiology, Female, Humans, Male, Overweight epidemiology, Prevalence, Students statistics & numerical data, World Health Organization, Obesity, Morbid epidemiology, Pediatric Obesity epidemiology, Schools statistics & numerical data
- Abstract
Background: The World Health Organization (WHO) European Childhood Obesity Surveillance Initiative (COSI) was established more than 10 years ago to estimate prevalence and monitor changes in overweight and obesity in children aged 6-9 years. Since then, there have been five rounds of data collection in more than 40 countries involving more than half a million children. To date, no comparative studies with data on severe childhood obesity from European countries have been published., Objectives: The aim of this work was to present the prevalence of severe obesity in school-aged children from 21 countries participating in COSI., Method: The data are from cross-sectional studies in 21 European WHO member states that took part in the first three COSI rounds of data collection (2007/2008, 2009/2010, 2012/2013). School-aged children were measured using standardized instruments and methodology. Children were classified as severely obese using the definitions provided by WHO and the International Obesity Task Force (IOTF). Analyses overtime, by child's age and mother's educational level, were performed in a select group of countries., Results: A total of 636,933 children were included in the analysis (323,648 boys and 313,285 girls). The prevalence of severe obesity varied greatly among countries, with higher values in Southern Europe. According to the WHO definition, severe obesity ranged from 1.0% in Swedish and Moldovan children (95% CI 0.7-1.3 and 0.7-1.5, respectively) to 5.5% (95% CI 4.9-6.1) in Maltese children. The prevalence was generally higher among boys compared to girls. The IOTF cut-offs lead to lower estimates, but confirm the differences among countries, and were more similar for both boys and girls. In many countries 1 in 4 obese children were severely obese. Applying the estimates of prevalence based on the WHO definition to the whole population of children aged 6-9 years in each country, around 398,000 children would be expected to be severely obese in the 21 European countries. The trend between 2007 and 2013 and the analysis by child's age did not show a clear pattern. Severe obesity was more common among children whose mother's educational level was lower., Conclusions: Severe obesity is a serious public health issue which affects a large number of children in Europe. Because of the impact on educational, health, social care, and economic systems, obesity needs to be addressed via a range of approaches from early prevention of overweight and obesity to treatment of those who need it., (© 2019 The Author(s) Published by S. Karger AG, Basel.)
- Published
- 2019
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30. Association between Characteristics at Birth, Breastfeeding and Obesity in 22 Countries: The WHO European Childhood Obesity Surveillance Initiative - COSI 2015/2017.
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Rito AI, Buoncristiano M, Spinelli A, Salanave B, Kunešová M, Hejgaard T, García Solano M, Fijałkowska A, Sturua L, Hyska J, Kelleher C, Duleva V, Musić Milanović S, Farrugia Sant'Angelo V, Abdrakhmanova S, Kujundzic E, Peterkova V, Gualtieri A, Pudule I, Petrauskienė A, Tanrygulyyeva M, Sherali R, Huidumac-Petrescu C, Williams J, Ahrens W, and Breda J
- Subjects
- Child, Child, Preschool, Cross-Sectional Studies, Europe epidemiology, Female, Humans, Infant, Infant, Newborn, Male, Overweight epidemiology, Pediatric Obesity etiology, Population Surveillance, Prevalence, World Health Organization, Birth Weight physiology, Breast Feeding statistics & numerical data, Parturition physiology, Pediatric Obesity epidemiology
- Abstract
Background: In Europe, although the prevalence of childhood obesity seems to be plateauing in some countries, progress on tackling this important public health issue remains slow and inconsistent. Breastfeeding has been described as a protective factor, and the more exclusively and the longer children are breastfed, the greater their protection from obesity. Birth weight has been shown to have a positive association with later risk for obesity., Objectives: It was the aim of this paper to investigate the association of early-life factors, namely breastfeeding, exclusive breastfeeding and birth weight, with obesity among children., Method: Data from 22 participating countries in the WHO European COSI study (round 4: 2015/2017) were collected using cross-sectional, nationally representative samples of 6- to 9-year-olds (n = 100,583). The children's standardized weight and height measurements followed a common WHO protocol. Information on the children's birth weight and breastfeeding practice and duration was collected through a family record form. A multivariate multilevel logistic regression analysis regarding breastfeeding practice (both general and exclusive) and characteristics at birth was performed., Results: The highest prevalence rates of obesity were observed in Spain (17.7%), Malta (17.2%) and Italy (16.8%). A wide between-country disparity in breastfeeding prevalence was found. Tajikistan had the highest percentage of children that were breastfed for ≥6 months (94.4%) and exclusively breastfed for ≥6 months (73.3%). In France, Ireland and Malta, only around 1 in 4 children was breastfed for ≥6 months. Italy and Malta showed the highest prevalence of obesity among children who have never been breastfed (21.2%), followed by Spain (21.0%). The pooled analysis showed that, compared to children who were breastfed for at least 6 months, the odds of being obese were higher among children never breastfed or breastfed for a shorter period, both in case of general (adjusted odds ratio [adjOR] [95% CI] 1.22 [1.16-1.28] and 1.12 [1.07-1.16], respectively) and exclusive breastfeeding (adjOR [95% CI] 1.25 [1.17-1.36] and 1.05 [0.99-1.12], respectively). Higher birth weight was associated with a higher risk of being overweight, which was reported in 11 out of the 22 countries. Bulgaria, Croatia, France, Italy, Poland and Romania showed that children who were preterm at birth had higher odds of being obese, compared to children who were full-term babies., Conclusion: The present work confirms the beneficial effect of breastfeeding against obesity, which was highly increased if children had never been breastfed or had been breastfed for a shorter period. Nevertheless, adoption of exclusive breastfeeding is below global recommendations and far from the target endorsed by the WHO Member States at the World Health Assembly Global Targets for Nutrition of increasing the prevalence of exclusive breastfeeding in the first 6 months up to at least 50% by 2025., (© 2019 The Author(s) Published by S. Karger AG, Basel.)
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- 2019
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31. Good practice criteria for childhood obesity prevention in kindergartens and schools-elaboration, content and use.
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Kovacs VA, Sarkadi-Nagy E, Sandu P, Duleva V, Spinelli A, Kaposvari C, Hassapidou M, Janssen D, Grochowska-Niedworok E, Messing S, and Martos E
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- Child, Child, Preschool, Delphi Technique, Europe, Humans, Evidence-Based Practice, Health Promotion standards, Pediatric Obesity prevention & control, Schools
- Abstract
Background: In accordance with the policy actions that address childhood overweight and obesity at European level and as a contribution to the EU Action Plan on Childhood Obesity 2014-20, a Joint Action on Nutrition and Physical Activity (JANPA) was established. As part of JANPA work package 6, an evaluation framework to identify good practices, targeting childhood obesity prevention in kindergartens and schools, was developed. This article describes the WP 6 JANPA framework of good practice criteria and its development, compares it to other frameworks and discusses its potential for future use., Methods: Based on the analysis of scientific literature, a set of 47 potential good practice criteria was drafted, that was then revised and complemented through a series of online Delphi consultations., Results: A final list of 48 good practice criteria (9 of which were rated as core criteria) was developed and grouped into three categories: intervention characteristics (n = 17), implementation (n = 17) and monitoring and evaluation (n = 14)., Conclusion: The identified JANPA framework of good practice criteria complements the existing frameworks by focussing on kindergarten- and school-based initiatives and provides guidance for evaluators, programme planners and decision makers bearing in mind that a one-size-fits-all approach is inadequate. To ensure the effectiveness of future practices, programme planners should endeavour to meet at least the nine JANPA core criteria.
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- 2018
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32. WHO European Childhood Obesity Surveillance Initiative: health-risk behaviours on nutrition and physical activity in 6-9-year-old schoolchildren.
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Wijnhoven TM, van Raaij JM, Yngve A, Sjöberg A, Kunešová M, Duleva V, Petrauskiene A, Rito AI, and Breda J
- Subjects
- Body Mass Index, Breakfast, Child, Cross-Sectional Studies, Epidemiological Monitoring, Europe epidemiology, Female, Humans, Male, Nutrition Surveys, Parents, Pediatric Obesity etiology, Pediatric Obesity prevention & control, Prevalence, Risk, Sedentary Behavior, World Health Organization, Child Behavior, Child Nutritional Physiological Phenomena, Diet adverse effects, Health Promotion, Motor Activity, Patient Compliance, Pediatric Obesity epidemiology
- Abstract
Objective: To assess to what extent eight behavioural health risks related to breakfast and food consumption and five behavioural health risks related to physical activity, screen time and sleep duration are present among schoolchildren, and to examine whether health-risk behaviours are associated with obesity., Design: Cross-sectional design as part of the WHO European Childhood Obesity Surveillance Initiative (school year 2007/2008). Children's behavioural data were reported by their parents and children's weight and height measured by trained fieldworkers. Descriptive statistics and logistic regression analyses were performed., Setting: Primary schools in Bulgaria, Lithuania, Portugal and Sweden; paediatric clinics in the Czech Republic., Subjects: Nationally representative samples of 6-9-year-olds (n 15 643)., Results: All thirteen risk behaviours differed statistically significantly across countries. Highest prevalence estimates of risk behaviours were observed in Bulgaria and lowest in Sweden. Not having breakfast daily and spending screen time ≥2 h/d were clearly positively associated with obesity. The same was true for eating 'foods like pizza, French fries, hamburgers, sausages or meat pies' >3 d/week and playing outside <1 h/d. Surprisingly, other individual unhealthy eating or less favourable physical activity behaviours showed either no or significant negative associations with obesity. A combination of multiple less favourable physical activity behaviours showed positive associations with obesity, whereas multiple unhealthy eating behaviours combined did not lead to higher odds of obesity., Conclusions: Despite a categorization based on international health recommendations, individual associations of the thirteen health-risk behaviours with obesity were not consistent, whereas presence of multiple physical activity-related risk behaviours was clearly associated with higher odds of obesity.
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- 2015
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33. WHO European Childhood Obesity Surveillance Initiative: associations between sleep duration, screen time and food consumption frequencies.
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Börnhorst C, Wijnhoven TM, Kunešová M, Yngve A, Rito AI, Lissner L, Duleva V, Petrauskiene A, and Breda J
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- Child, Cross-Sectional Studies, Diet, Europe, Female, Food Preferences, Fruit, Humans, Male, Odds Ratio, Parents, Time Factors, Vegetables, Computers statistics & numerical data, Feeding Behavior, Pediatric Obesity epidemiology, Population Surveillance methods, Sleep, Television statistics & numerical data, World Health Organization
- Abstract
Background: Both sleep duration and screen time have been suggested to affect children's diet, although in different directions and presumably through different pathways. The present cross-sectional study aimed to simultaneously investigate the associations between sleep duration, screen time and food consumption frequencies in children., Methods: The analysis was based on 10 453 children aged 6-9 years from five European countries that participated in the World Health Organization European Childhood Obesity Surveillance Initiative. Logistic multilevel models were used to assess associations of parent-reported screen time as well as sleep duration (exposure variables) with consumption frequencies of 16 food items (outcome variables). All models were adjusted for age, sex, outdoor play time, maximum educational level of parents and sleep duration or screen time, depending on the exposure under investigation., Results: One additional hour of screen time was associated with increased consumption frequencies of 'soft drinks containing sugar' (1.28 [1.19;1.39]; odds ratio and 99% confidence interval), 'diet/light soft drinks' (1.21 [1.14;1.29]), 'flavoured milk' (1.18 [1.08;1.28]), 'candy bars or chocolate' (1.31 [1.22;1.40]), 'biscuits, cakes, doughnuts or pies' (1.22 [1.14;1.30]), 'potato chips (crisps), corn chips, popcorn or peanuts' (1.32 [1.20;1.45]), 'pizza, French fries (chips), hamburgers'(1.30 [1.18;1.43]) and with a reduced consumption frequency of 'vegetables (excluding potatoes)' (0.89 [0.83;0.95]) and 'fresh fruits' (0.91 [0.86;0.97]). Conversely, one additional hour of sleep duration was found to be associated with increased consumption frequencies of 'fresh fruits' (1.11 [1.04;1.18]) and 'vegetables (excluding potatoes)' (1.14 [1.07;1.23])., Conclusion: The results suggest a potential relation between high screen time exposure and increased consumption frequencies of foods high in fat, free sugar or salt whereas long sleep duration may favourably be related to children's food choices. Both screen time and sleep duration are modifiable behaviours that may be tackled in childhood obesity prevention efforts.
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- 2015
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34. Mediation of parental educational level on fruit and vegetable intake among schoolchildren in ten European countries.
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Lehto E, Ray C, Te Velde S, Petrova S, Duleva V, Krawinkel M, Behrendt I, Papadaki A, Kristjansdottir A, Thorsdottir I, Yngve A, Lien N, Lynch C, Ehrenblad B, Vaz de Almeida MD, Ribic CH, Simčic I, and Roos E
- Subjects
- Child, Cross-Sectional Studies, Diet economics, Diet ethnology, Diet Surveys, Europe, Female, Food Preferences ethnology, Food Supply economics, Humans, Male, Nutrition Policy, Parenting ethnology, Patient Compliance ethnology, Self Efficacy, Child Nutritional Physiological Phenomena ethnology, Diet adverse effects, Educational Status, Fruit economics, Parents education, Vegetables economics
- Abstract
Objective: To examine which factors act as mediators between parental educational level and children's fruit and vegetable (F&V) intake in ten European countries., Design: Cross-sectional data were collected in ten European countries participating in the PRO GREENS project (2009). Schoolchildren completed a validated FFQ about their daily F&V intake and filled in a questionnaire about availability of F&V at home, parental facilitation of F&V intake, knowledge of recommendations about F&V intake, self-efficacy to eat F&V and liking for F&V. Parental educational level was determined from a questionnaire given to parents. The associations were examined with multilevel mediation analyses., Setting: Schools in Bulgaria, Finland, Germany, Greece, Iceland, the Netherlands, Norway, Portugal, Slovenia and Sweden., Subjects: Eleven-year-old children (n 8159, response rate 72%) and their parents., Results: In five of the ten countries, children with higher educated parents were more likely to report eating fruits daily. This association was mainly mediated by knowledge but self-efficacy, liking, availability and facilitation also acted as mediators in some countries. Parents' education was positively associated with their children's daily vegetable intake in seven countries, with knowledge and availability being the strongest mediators and self-efficacy and liking acting as mediators to some degree., Conclusions: Parental educational level correlated positively with children's daily F&V intake in most countries and the pattern of mediation varied among the participating countries. Future intervention studies that endeavour to decrease the educational-level differences in F&V intake should take into account country-specific features in the relevant determinants of F&V intake.
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- 2015
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35. Does eating family meals and having the television on during dinner correlate with overweight? A sub-study of the PRO GREENS project, looking at children from nine European countries.
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Roos E, Pajunen T, Ray C, Lynch C, Kristiansdottir AG, Halldorsson TI, Thorsdottir I, Te Velde SJ, Krawinkel M, Behrendt I, de Almeida MD, Franchini B, Papadaki A, Moschandreas J, Ribič CH, Petrova S, Duleva V, Simčič I, and Yngve A
- Subjects
- Body Mass Index, Child, Cross-Sectional Studies, Europe epidemiology, Health Education, Humans, Life Style, Logistic Models, Meals, Motor Activity, Risk Factors, Socioeconomic Factors, Surveys and Questionnaires, Feeding Behavior, Overweight epidemiology, Pediatric Obesity epidemiology, Television
- Abstract
Objective: Family meals have been negatively associated with overweight in children, while television (TV) viewing during meals has been associated with a poorer diet. The aim of the present study was to assess the association of eating family breakfast and dinner, and having a TV on during dinner, with overweight in nine European countries and whether these associations differed between Northern and Southern & Eastern Europe., Design: Cross-sectional data. Schoolchildren reported family meals and TV viewing. BMI was based on parental reports on height and weight of their children. Cut-off points for overweight by the International Obesity Task Force were used. Logistic regressions were performed adjusted by age, gender and parental education., Setting: Schools in Northern European (Sweden, the Netherlands, Iceland, Germany and Finland) and Southern & Eastern European (Portugal, Greece, Bulgaria and Slovenia) countries, participating in the PRO GREENS project., Subjects: Children aged 10-12 years in (n 6316)., Results: In the sample, 21 % of the children were overweight, from 35 % in Greece to 10 % in the Netherlands. Only a few associations were found between family meals and TV viewing during dinner with overweight in the nine countries. Northern European children, compared with other regions, were significantly more likely to be overweight if they had fewer family breakfasts and more often viewed TV during dinner., Conclusions: The associations between family meals and TV viewing during dinner with overweight were few and showed significance only in Northern Europe. Differences in foods consumed during family meals and in health-related lifestyles between Northern and Southern & Eastern Europe may explain these discrepancies.
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- 2014
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36. WHO European Childhood Obesity Surveillance Initiative: School nutrition environment and body mass index in primary schools.
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Wijnhoven TM, van Raaij JM, Sjöberg A, Eldin N, Yngve A, Kunešová M, Starc G, Rito AI, Duleva V, Hassapidou M, Martos E, Pudule I, Petrauskiene A, Sant'Angelo VF, Hovengen R, and Breda J
- Subjects
- Child, Europe, Female, Humans, Male, Pediatric Obesity etiology, Schools, World Health Organization, Body Mass Index, Nutritional Status, Pediatric Obesity epidemiology
- Abstract
Background: Schools are important settings for the promotion of a healthy diet and sufficient physical activity and thus overweight prevention., Objective: To assess differences in school nutrition environment and body mass index (BMI) in primary schools between and within 12 European countries., Methods: Data from the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative (COSI) were used (1831 and 2045 schools in 2007/2008 and 2009/2010, respectively). School personnel provided information on 18 school environmental characteristics on nutrition and physical activity. A school nutrition environment score was calculated using five nutrition-related characteristics whereby higher scores correspond to higher support for a healthy school nutrition environment. Trained field workers measured children's weight and height; BMI-for-age (BMI/A) Z-scores were computed using the 2007 WHO growth reference and, for each school, the mean of the children's BMI/A Z-scores was calculated., Results: Large between-country differences were found in the availability of food items on the premises (e.g., fresh fruit could be obtained in 12%-95% of schools) and school nutrition environment scores (range: 0.30-0.93). Low-score countries (Bulgaria, Czech Republic, Greece, Hungary, Latvia and Lithuania) graded less than three characteristics as supportive. High-score (≥0.70) countries were Ireland, Malta, Norway, Portugal, Slovenia and Sweden. The combined absence of cold drinks containing sugar, sweet snacks and salted snacks were more observed in high-score countries than in low-score countries. Largest within-country school nutrition environment scores were found in Bulgaria, Czech Republic, Greece, Hungary, Latvia and Lithuania. All country-level BMI/A Z-scores were positive (range: 0.20-1.02), indicating higher BMI values than the 2007 WHO growth reference. With the exception of Norway and Sweden, a country-specific association between the school nutrition environment score and the school BMI/A Z-score was not observed., Conclusions: Some European countries have implemented more school policies that are supportive to a healthy nutrition environment than others. However, most countries with low school nutrition environment scores also host schools with supportive school environment policies, suggesting that a uniform school policy to tackle the "unhealthy" school nutrition environment has not been implemented at the same level throughout a country and may underline the need for harmonized school policies.
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- 2014
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37. Turning dilemmas into opportunities: a UNU/SCN capacity development network in public nutrition in Central and Eastern Europe.
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Pavlovic M, Pepping F, Demes M, Biro L, Szabolcs P, Dimitrovska Z, Duleva V, Parvan C, Hadziomeragic AF, Glibetic M, and Oshaug A
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- Europe, Humans, Models, Organizational, Professional Competence, Public Policy, United Nations, International Cooperation, Nutritional Sciences education, Nutritional Sciences standards, Public Health Practice standards
- Abstract
Capacity development in nutrition is a process whereby individuals, groups, institutions, organizations and societies enhance their abilities to identify and meet challenges in a sustainable manner. To address these issues, in 2001 the UN System Standing Committee on Nutrition (SCN) established a Working Group on Capacity Development under the joint coordination of the United Nations University (UNU) and the International Union of Nutritional Sciences. Several regional professional networks have developed under this working group, the latest for the Central and Eastern Europe (CEE) countries. Ten CEE countries formed a network in 2006 and identified major nutritional challenges in the region, which included: irregular meal patterns; low consumption of fruits/vegetables, milk products and fish; low intake of some micronutrients; and high intakes of fat, sugar and salt. Public policies in nutrition were either weak or absent. Some countries had recently developed nutrition plans. Higher education in nutrition was seen as very important for public nutrition work by professionals in the region, who considered it a prerequisite for reversing the negative trend of the nutrition transition. The network will continue to work on issues that are still not covered adequately. Its activities to date and prospects for the future are assessed against ten principles for good capacity development suggested by the United Nations Development Programme.
- Published
- 2009
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