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1. COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

Author

Blackburn, A, Vestergren, S, Tran, T, Stockli, S, Griffin, S, Ntontis, E, Jeftic, A, Chrona, S, Ikizer, G, Han, H, Milfont, T, Parry, D, Byrne, G, Gomez-Lopez, M, Acosta, A, Kowal, M, De Leon, G, Gallegos, A, Perez, M, Abdelrahman, M, Ahern, E, Yar, A, Ahmed, O, Alami, N, Amin, R, Andersen, L, Araujo, B, Asongu, N, Bartsch, F, Bavolar, J, Bhatta, K, Bircan, T, Bita, S, Bombuwala, H, Brik, T, Cakal, H, Caniels, M, Carballo, M, Carvalho, N, Cely, L, Chang, S, Chayinska, M, Chen, F, Ch'Ng, B, Chukwuorji, J, Costa, A, Dalizu, V, Deschrijver, E, Dilekler Aldemir, I, Doherty, A, Doller, R, Dubrov, D, Elegbede, S, Elizalde, J, Ermagan-Caglar, E, Fernandez-Morales, R, Garcia-Castro, J, Gelpi, R, Ghafori, S, Goldberg, X, Gonzalez-Uribe, C, Alpizar-Rojas, H, Haugestad, C, Higuera, D, Hoorelbeke, K, Hristova, E, Hubena, B, Huq, H, Ihaya, K, Jayathilake, G, Jen, E, Jinadasa, A, Joksimovic, J, Kacmar, P, Kadreva, V, Kalinova, K, Kandeel, H, Kellezi, B, Khan, S, Kontogianni, M, Koszalkowska, K, Krzysztof, H, Lacko, D, Landa-Blanco, M, Lee, Y, Lieberoth, A, Lins, S, Liutsko, L, Londero-Santos, A, Mauritsen, A, Maegli, M, Magidie, P, Maharjan, R, Makaveeva, T, Makhubela, M, Malagon, M, Malykh, S, Mamede, S, Mandillah, S, Mansoor, M, Mari, S, Marin-Lopez, I, Marot, T, Martinez, S, Mauka, J, Moss, S, Mushtaq, A, Musliu, A, Mususa, D, Najmussaqib, A, Nasheeda, A, Nasr, R, Machado, N, Natividade, J, Ngowi, H, Nyarangi, C, Ogunbode, C, Onyutha, C, Padmakumar, K, Paniagua, W, Pena, M, Pirko, M, Portela, M, Pouretemad, H, Rachev, N, Ratodi, M, Reifler, J, Sadeghi, S, Sahayanathan, H, Sanchez, E, Sandbakken, E, Sandesh, D, Sanjesh, S, Schrotter, J, Shanthakumar, S, Sikka, P, Slaveykova, K, Studzinska, A, Subandi, F, Subedi, N, Sullivan, G, Tag, B, Delphine, T, Tamayo-Agudelo, W, Travaglino, G, Tuominen, J, Turk-Kurtca, T, Vakai, M, Volkodav, T, Wang, A, Williams, A, Wu, C, Yamada, Y, Yaneva, T, Yanez, N, Yeh, Y, Zoletic, E, Blackburn A. M., Vestergren S., Tran T. P., Stockli S., Griffin S. M., Ntontis E., Jeftic A., Chrona S., Ikizer G., Han H., Milfont T. L., Parry D., Byrne G., Gomez-Lopez M., Acosta A., Kowal M., De Leon G., Gallegos A., Perez M., Abdelrahman M., Ahern E., Yar A. W. A., Ahmed O., Alami N. H., Amin R., Andersen L. E., Araujo B. O., Asongu N. A., Bartsch F., Bavolar J., Bhatta K. R., Bircan T., Bita S., Bombuwala H., Brik T., Cakal H., Caniels M., Carballo M., Carvalho N. M., Cely L., Chang S., Chayinska M., Chen F. -Y., Ch'ng B., Chukwuorji J. B. C., Costa A. R., Dalizu V. L., Deschrijver E., Dilekler Aldemir I., Doherty A. M., Doller R., Dubrov D., Elegbede S., Elizalde J., Ermagan-Caglar E., Fernandez-Morales R., Garcia-Castro J. D., Gelpi R., Ghafori S., Goldberg X., Gonzalez-Uribe C., Alpizar-Rojas H., Haugestad C. A. P., Higuera D., Hoorelbeke K., Hristova E., Hubena B., Huq H., Ihaya K., Jayathilake G., Jen E., Jinadasa A., Joksimovic J., Kacmar P., Kadreva V., Kalinova K., Kandeel H. A. A., Kellezi B., Khan S., Kontogianni M., Koszalkowska K., Krzysztof H., Lacko D., Landa-Blanco M., Lee Y., Lieberoth A., Lins S., Liutsko L., Londero-Santos A., Mauritsen A. L., Maegli M. A., Magidie P., Maharjan R., Makaveeva T., Makhubela M., Malagon M. G., Malykh S., Mamede S., Mandillah S., Mansoor M. S., Mari S., Marin-Lopez I., Marot T. A., Martinez S., Mauka J., Moss S. M., Mushtaq A., Musliu A., Mususa D., Najmussaqib A., Nasheeda A., Nasr R., Machado N. N., Natividade J. C., Ngowi H. P., Nyarangi C., Ogunbode C., Onyutha C., Padmakumar K., Paniagua W., Pena M. C., Pirko M., Portela M., Pouretemad H., Rachev N., Ratodi M., Reifler J., Sadeghi S., Sahayanathan H. S., Sanchez E., Sandbakken E. M., Sandesh D., Sanjesh S., Schrotter J., Shanthakumar S., Sikka P., Slaveykova K., Studzinska A., Subandi F. D., Subedi N., Sullivan G. B., Tag B., Delphine T. E. A., Tamayo-Agudelo W., Travaglino G. A., Tuominen J., Turk-Kurtca T., Vakai M., Volkodav T., Wang A. H. -E. W., Williams A., Wu C., Yamada Y., Yaneva T., Yanez N., Yeh Y. -Y., Zoletic E., Blackburn, A, Vestergren, S, Tran, T, Stockli, S, Griffin, S, Ntontis, E, Jeftic, A, Chrona, S, Ikizer, G, Han, H, Milfont, T, Parry, D, Byrne, G, Gomez-Lopez, M, Acosta, A, Kowal, M, De Leon, G, Gallegos, A, Perez, M, Abdelrahman, M, Ahern, E, Yar, A, Ahmed, O, Alami, N, Amin, R, Andersen, L, Araujo, B, Asongu, N, Bartsch, F, Bavolar, J, Bhatta, K, Bircan, T, Bita, S, Bombuwala, H, Brik, T, Cakal, H, Caniels, M, Carballo, M, Carvalho, N, Cely, L, Chang, S, Chayinska, M, Chen, F, Ch'Ng, B, Chukwuorji, J, Costa, A, Dalizu, V, Deschrijver, E, Dilekler Aldemir, I, Doherty, A, Doller, R, Dubrov, D, Elegbede, S, Elizalde, J, Ermagan-Caglar, E, Fernandez-Morales, R, Garcia-Castro, J, Gelpi, R, Ghafori, S, Goldberg, X, Gonzalez-Uribe, C, Alpizar-Rojas, H, Haugestad, C, Higuera, D, Hoorelbeke, K, Hristova, E, Hubena, B, Huq, H, Ihaya, K, Jayathilake, G, Jen, E, Jinadasa, A, Joksimovic, J, Kacmar, P, Kadreva, V, Kalinova, K, Kandeel, H, Kellezi, B, Khan, S, Kontogianni, M, Koszalkowska, K, Krzysztof, H, Lacko, D, Landa-Blanco, M, Lee, Y, Lieberoth, A, Lins, S, Liutsko, L, Londero-Santos, A, Mauritsen, A, Maegli, M, Magidie, P, Maharjan, R, Makaveeva, T, Makhubela, M, Malagon, M, Malykh, S, Mamede, S, Mandillah, S, Mansoor, M, Mari, S, Marin-Lopez, I, Marot, T, Martinez, S, Mauka, J, Moss, S, Mushtaq, A, Musliu, A, Mususa, D, Najmussaqib, A, Nasheeda, A, Nasr, R, Machado, N, Natividade, J, Ngowi, H, Nyarangi, C, Ogunbode, C, Onyutha, C, Padmakumar, K, Paniagua, W, Pena, M, Pirko, M, Portela, M, Pouretemad, H, Rachev, N, Ratodi, M, Reifler, J, Sadeghi, S, Sahayanathan, H, Sanchez, E, Sandbakken, E, Sandesh, D, Sanjesh, S, Schrotter, J, Shanthakumar, S, Sikka, P, Slaveykova, K, Studzinska, A, Subandi, F, Subedi, N, Sullivan, G, Tag, B, Delphine, T, Tamayo-Agudelo, W, Travaglino, G, Tuominen, J, Turk-Kurtca, T, Vakai, M, Volkodav, T, Wang, A, Williams, A, Wu, C, Yamada, Y, Yaneva, T, Yanez, N, Yeh, Y, Zoletic, E, Blackburn A. M., Vestergren S., Tran T. P., Stockli S., Griffin S. M., Ntontis E., Jeftic A., Chrona S., Ikizer G., Han H., Milfont T. L., Parry D., Byrne G., Gomez-Lopez M., Acosta A., Kowal M., De Leon G., Gallegos A., Perez M., Abdelrahman M., Ahern E., Yar A. W. A., Ahmed O., Alami N. H., Amin R., Andersen L. E., Araujo B. O., Asongu N. A., Bartsch F., Bavolar J., Bhatta K. R., Bircan T., Bita S., Bombuwala H., Brik T., Cakal H., Caniels M., Carballo M., Carvalho N. M., Cely L., Chang S., Chayinska M., Chen F. -Y., Ch'ng B., Chukwuorji J. B. C., Costa A. R., Dalizu V. L., Deschrijver E., Dilekler Aldemir I., Doherty A. M., Doller R., Dubrov D., Elegbede S., Elizalde J., Ermagan-Caglar E., Fernandez-Morales R., Garcia-Castro J. D., Gelpi R., Ghafori S., Goldberg X., Gonzalez-Uribe C., Alpizar-Rojas H., Haugestad C. A. P., Higuera D., Hoorelbeke K., Hristova E., Hubena B., Huq H., Ihaya K., Jayathilake G., Jen E., Jinadasa A., Joksimovic J., Kacmar P., Kadreva V., Kalinova K., Kandeel H. A. A., Kellezi B., Khan S., Kontogianni M., Koszalkowska K., Krzysztof H., Lacko D., Landa-Blanco M., Lee Y., Lieberoth A., Lins S., Liutsko L., Londero-Santos A., Mauritsen A. L., Maegli M. A., Magidie P., Maharjan R., Makaveeva T., Makhubela M., Malagon M. G., Malykh S., Mamede S., Mandillah S., Mansoor M. S., Mari S., Marin-Lopez I., Marot T. A., Martinez S., Mauka J., Moss S. M., Mushtaq A., Musliu A., Mususa D., Najmussaqib A., Nasheeda A., Nasr R., Machado N. N., Natividade J. C., Ngowi H. P., Nyarangi C., Ogunbode C., Onyutha C., Padmakumar K., Paniagua W., Pena M. C., Pirko M., Portela M., Pouretemad H., Rachev N., Ratodi M., Reifler J., Sadeghi S., Sahayanathan H. S., Sanchez E., Sandbakken E. M., Sandesh D., Sanjesh S., Schrotter J., Shanthakumar S., Sikka P., Slaveykova K., Studzinska A., Subandi F. D., Subedi N., Sullivan G. B., Tag B., Delphine T. E. A., Tamayo-Agudelo W., Travaglino G. A., Tuominen J., Turk-Kurtca T., Vakai M., Volkodav T., Wang A. H. -E. W., Williams A., Wu C., Yamada Y., Yaneva T., Yanez N., Yeh Y. -Y., and Zoletic E.

Abstract

During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals’ experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy.

Published
2022

2. COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

Author

Yamada, Y, Cepulic, D, Coll-Martin, T, Debove, S, Gautreau, G, Han, H, Rasmussen, J, Tran, T, Travaglino, G, Blackburn, A, Boullu, L, Bujic, M, Byrne, G, Caniels, M, Flis, I, Kowal, M, Rachev, N, Reynoso-Alcantara, V, Zerhouni, O, Ahmed, O, Amin, R, Aquino, S, Areias, J, Aruta, J, Bamwesigye, D, Bavolar, J, Bender, A, Bhandari, P, Bircan, T, Cakal, H, Capelos, T, Cenek, J, Ch'Ng, B, Chen, F, Chrona, S, Contreras-Ibanez, C, Correa, P, Cristofori, I, Cyrus-Lai, W, Delgado-Garcia, G, Deschrijver, E, Diaz, C, Dilekler, I, Dranseika, V, Dubrov, D, Eichel, K, Ermagan-Caglar, E, Gelpi, R, Gonzalez, R, Griffin, A, Hakim, M, Hanusz, K, Ho, Y, Hristova, D, Hubena, B, Ihaya, K, Ikizer, G, Islam, M, Jeftic, A, Jha, S, Juarez, F, Kacmar, P, Kalinova, K, Kavanagh, P, Kosa, M, Koszalkowska, K, Kumaga, R, Lacko, D, Lee, Y, Lentoor, A, De Leon, G, Lin, S, Lins, S, Lopez, C, Lys, A, Mahlungulu, S, Makaveeva, T, Mamede, S, Mari, S, Marot, T, Martinez, L, Meshi, D, Mola, D, Morales-Izquierdo, S, Musliu, A, Naidu, P, Najmussaqib, A, Natividade, J, Nebel, S, Nezkusilova, J, Nikolova, I, Ninaus, M, Noreika, V, Ortiz, M, Ozery, D, Pankowski, D, Pennato, T, Pirko, M, Pummerer, L, Reyna, C, Romano, E, Sahin, H, Sanli, A, Sayilan, G, Scarpaci, A, Sechi, C, Shani, M, Shata, A, Sikka, P, Sinha, N, Stockli, S, Studzinska, A, Sungailaite, E, Szebeni, Z, Tag, B, Taranu, M, Tisocco, F, Tuominen, J, Turk, F, Uddin, M, Uzelac, E, Vestergren, S, Vilar, R, Wang, A, West, J, Wu, C, Yaneva, T, Yeh, Y, Lieberoth, A, Yamada Y., Cepulic D. -B., Coll-Martin T., Debove S., Gautreau G., Han H., Rasmussen J., Tran T. P., Travaglino G. A., Blackburn A. M., Boullu L., Bujic M., Byrne G., Caniels M. C. J., Flis I., Kowal M., Rachev N. R., Reynoso-Alcantara V., Zerhouni O., Ahmed O., Amin R., Aquino S., Areias J. C., Aruta J. J. B. R., Bamwesigye D., Bavolar J., Bender A. R., Bhandari P., Bircan T., Cakal H., Capelos T., Cenek J., Ch'ng B., Chen F. -Y., Chrona S., Contreras-Ibanez C. C., Correa P. S., Cristofori I., Cyrus-Lai W., Delgado-Garcia G., Deschrijver E., Diaz C., Dilekler I., Dranseika V., Dubrov D., Eichel K., Ermagan-Caglar E., Gelpi R., Gonzalez R. F., Griffin A., Hakim M. A., Hanusz K., Ho Y. W., Hristova D., Hubena B., Ihaya K., Ikizer G., Islam M. N., Jeftic A., Jha S., Juarez F. P. -G., Kacmar P., Kalinova K., Kavanagh P. S., Kosa M., Koszalkowska K., Kumaga R., Lacko D., Lee Y., Lentoor A. G., De Leon G. A., Lin S. -Y., Lins S., Lopez C. R. C., Lys A. E., Mahlungulu S., Makaveeva T., Mamede S., Mari S., Marot T. A., Martinez L., Meshi D., Mola D. J., Morales-Izquierdo S., Musliu A., Naidu P. A., Najmussaqib A., Natividade J. C., Nebel S., Nezkusilova J., Nikolova I., Ninaus M., Noreika V., Ortiz M. V., Ozery D. H., Pankowski D., Pennato T., Pirko M., Pummerer L., Reyna C., Romano E., Sahin H., Sanli A. M., Sayilan G., Scarpaci A., Sechi C., Shani M., Shata A., Sikka P., Sinha N., Stockli S., Studzinska A., Sungailaite E., Szebeni Z., Tag B., Taranu M., Tisocco F., Tuominen J., Turk F., Uddin M. K., Uzelac E., Vestergren S., Vilar R., Wang A. H. -E., West J. N., Wu C. K. S., Yaneva T., Yeh Y. -Y., Lieberoth A., Yamada, Y, Cepulic, D, Coll-Martin, T, Debove, S, Gautreau, G, Han, H, Rasmussen, J, Tran, T, Travaglino, G, Blackburn, A, Boullu, L, Bujic, M, Byrne, G, Caniels, M, Flis, I, Kowal, M, Rachev, N, Reynoso-Alcantara, V, Zerhouni, O, Ahmed, O, Amin, R, Aquino, S, Areias, J, Aruta, J, Bamwesigye, D, Bavolar, J, Bender, A, Bhandari, P, Bircan, T, Cakal, H, Capelos, T, Cenek, J, Ch'Ng, B, Chen, F, Chrona, S, Contreras-Ibanez, C, Correa, P, Cristofori, I, Cyrus-Lai, W, Delgado-Garcia, G, Deschrijver, E, Diaz, C, Dilekler, I, Dranseika, V, Dubrov, D, Eichel, K, Ermagan-Caglar, E, Gelpi, R, Gonzalez, R, Griffin, A, Hakim, M, Hanusz, K, Ho, Y, Hristova, D, Hubena, B, Ihaya, K, Ikizer, G, Islam, M, Jeftic, A, Jha, S, Juarez, F, Kacmar, P, Kalinova, K, Kavanagh, P, Kosa, M, Koszalkowska, K, Kumaga, R, Lacko, D, Lee, Y, Lentoor, A, De Leon, G, Lin, S, Lins, S, Lopez, C, Lys, A, Mahlungulu, S, Makaveeva, T, Mamede, S, Mari, S, Marot, T, Martinez, L, Meshi, D, Mola, D, Morales-Izquierdo, S, Musliu, A, Naidu, P, Najmussaqib, A, Natividade, J, Nebel, S, Nezkusilova, J, Nikolova, I, Ninaus, M, Noreika, V, Ortiz, M, Ozery, D, Pankowski, D, Pennato, T, Pirko, M, Pummerer, L, Reyna, C, Romano, E, Sahin, H, Sanli, A, Sayilan, G, Scarpaci, A, Sechi, C, Shani, M, Shata, A, Sikka, P, Sinha, N, Stockli, S, Studzinska, A, Sungailaite, E, Szebeni, Z, Tag, B, Taranu, M, Tisocco, F, Tuominen, J, Turk, F, Uddin, M, Uzelac, E, Vestergren, S, Vilar, R, Wang, A, West, J, Wu, C, Yaneva, T, Yeh, Y, Lieberoth, A, Yamada Y., Cepulic D. -B., Coll-Martin T., Debove S., Gautreau G., Han H., Rasmussen J., Tran T. P., Travaglino G. A., Blackburn A. M., Boullu L., Bujic M., Byrne G., Caniels M. C. J., Flis I., Kowal M., Rachev N. R., Reynoso-Alcantara V., Zerhouni O., Ahmed O., Amin R., Aquino S., Areias J. C., Aruta J. J. B. R., Bamwesigye D., Bavolar J., Bender A. R., Bhandari P., Bircan T., Cakal H., Capelos T., Cenek J., Ch'ng B., Chen F. -Y., Chrona S., Contreras-Ibanez C. C., Correa P. S., Cristofori I., Cyrus-Lai W., Delgado-Garcia G., Deschrijver E., Diaz C., Dilekler I., Dranseika V., Dubrov D., Eichel K., Ermagan-Caglar E., Gelpi R., Gonzalez R. F., Griffin A., Hakim M. A., Hanusz K., Ho Y. W., Hristova D., Hubena B., Ihaya K., Ikizer G., Islam M. N., Jeftic A., Jha S., Juarez F. P. -G., Kacmar P., Kalinova K., Kavanagh P. S., Kosa M., Koszalkowska K., Kumaga R., Lacko D., Lee Y., Lentoor A. G., De Leon G. A., Lin S. -Y., Lins S., Lopez C. R. C., Lys A. E., Mahlungulu S., Makaveeva T., Mamede S., Mari S., Marot T. A., Martinez L., Meshi D., Mola D. J., Morales-Izquierdo S., Musliu A., Naidu P. A., Najmussaqib A., Natividade J. C., Nebel S., Nezkusilova J., Nikolova I., Ninaus M., Noreika V., Ortiz M. V., Ozery D. H., Pankowski D., Pennato T., Pirko M., Pummerer L., Reyna C., Romano E., Sahin H., Sanli A. M., Sayilan G., Scarpaci A., Sechi C., Shani M., Shata A., Sikka P., Sinha N., Stockli S., Studzinska A., Sungailaite E., Szebeni Z., Tag B., Taranu M., Tisocco F., Tuominen J., Turk F., Uddin M. K., Uzelac E., Vestergren S., Vilar R., Wang A. H. -E., West J. N., Wu C. K. S., Yaneva T., Yeh Y. -Y., and Lieberoth A.

Abstract

This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.

Published
2021

3. COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

Author

Blackburn, A. M., Vestergren, S., Tran, T. P., Stöckli, S., Griffin, S. M., Ntontis, E., Jeftic, A., Chrona, S., Ikizer, G., Mandillah, S., Chang, S., Sahayanathan, H. S., Sanchez, E., Sandbakken, E. M., Sandesh, D., Sanjesh, S., Schrötter, J., Shanthakumar, S., Sikka, P., Slaveykova, K., Studzinska, A., Chayinska, M., Byrne, G., Subandi, F. D., Subedi, N., Sullivan, G. B., Tag, B., Delphine, T. E. A., Tamayo-Agudelo, W., Travaglino, G. A., Tuominen, J., Türk-Kurtça, T., Chen, F. -Y., Vakai, M., Gómez-López, M., Volkodav, T., Wang, A. H. -E. W., Williams, A., Wu, C., Yamada, Y., Yaneva, T., Yañez, N., Yeh, Y. -Y., Ch’ng, B., Zoletic, E., Acosta, A., Kowal, M., De, Leon, G., Gallegos, A., Perez, M., Abdelrahman, M., Ahern, E., Yar, A. W. A., Ahmed, O., Chukwuorji, J. B. C., Alami, N. H., Amin, R., Andersen, L. E., Araújo, B. O., Asongu, N. A., Bartsch, F., Bavoľár, J., Bhatta, K. R., Bircan, T., Bita, S., Costa, A. R., Bombuwala, H., Brik, T., Cakal, H., Caniëls, M., Carballo, M., Carvalho, N. M., Cely, L., Dalizu, V. L., Deschrijver, E., Dilekler, Aldemir, İ., Doherty, A. M., Mansoor, M. S., Doller, R., Dubrov, D., Elegbede, S., Elizalde, J., Ermagan-Caglar, E., Fernández-Morales, R., García-Castro, J. D., Gelpí, R., Ghafori, S., Goldberg, X., Mari, S., González-Uribe, C., Alpízar-Rojas, H., Haugestad, C. A. P., Higuera, D., Hoorelbeke, K., Hristova, E., Hubená, B., Huq, H., Ihaya, K., Jayathilake, G., Marín-López, I., Jen, E., Jinadasa, A., Joksimovic, J., Kačmár, P., Kadreva, V., Kalinova, K., Kandeel, H. A. A., Kellezi, B., Khan, S., Kontogianni, M., Marot, T. A., Koszałkowska, K., Krzysztof, H., Lacko, D., Landa-Blanco, M., Lee, Y., Lieberoth, A., Lins, S., Liutsko, L., Londero-Santos, A., Mauritsen, A. L., Martínez, S., Maegli, M. A., Magidie, P., Maharjan, R., Makaveeva, T., Makhubela, M., Malagón, M. G., Malykh, S., Mamede, S., Mauka, J., Moss, S. M., Mushtaq, A., Musliu, A., Han, H., Mususa, D., Najmussaqib, A., Nasheeda, A., Nasr, R., Machado, N. N., Natividade, J. C., Ngowi, H. P., Nyarangi, C., Ogunbode, C., Onyutha, C., Milfont, T. L., Padmakumar, K., Paniagua, W., Pena, M. C., Pírko, M., Portela, M., Pouretemad, H., Rachev, N., Ratodi, M., Reifler, J., Sadeghi, S., Parry, D., Blackburn, A. M., Vestergren, S., Tran, T. P., Stöckli, S., Griffin, S. M., Ntontis, E., Jeftic, A., Chrona, S., Ikizer, G., Mandillah, S., Chang, S., Sahayanathan, H. S., Sanchez, E., Sandbakken, E. M., Sandesh, D., Sanjesh, S., Schrötter, J., Shanthakumar, S., Sikka, P., Slaveykova, K., Studzinska, A., Chayinska, M., Byrne, G., Subandi, F. D., Subedi, N., Sullivan, G. B., Tag, B., Delphine, T. E. A., Tamayo-Agudelo, W., Travaglino, G. A., Tuominen, J., Türk-Kurtça, T., Chen, F. -Y., Vakai, M., Gómez-López, M., Volkodav, T., Wang, A. H. -E. W., Williams, A., Wu, C., Yamada, Y., Yaneva, T., Yañez, N., Yeh, Y. -Y., Ch’ng, B., Zoletic, E., Acosta, A., Kowal, M., De, Leon, G., Gallegos, A., Perez, M., Abdelrahman, M., Ahern, E., Yar, A. W. A., Ahmed, O., Chukwuorji, J. B. C., Alami, N. H., Amin, R., Andersen, L. E., Araújo, B. O., Asongu, N. A., Bartsch, F., Bavoľár, J., Bhatta, K. R., Bircan, T., Bita, S., Costa, A. R., Bombuwala, H., Brik, T., Cakal, H., Caniëls, M., Carballo, M., Carvalho, N. M., Cely, L., Dalizu, V. L., Deschrijver, E., Dilekler, Aldemir, İ., Doherty, A. M., Mansoor, M. S., Doller, R., Dubrov, D., Elegbede, S., Elizalde, J., Ermagan-Caglar, E., Fernández-Morales, R., García-Castro, J. D., Gelpí, R., Ghafori, S., Goldberg, X., Mari, S., González-Uribe, C., Alpízar-Rojas, H., Haugestad, C. A. P., Higuera, D., Hoorelbeke, K., Hristova, E., Hubená, B., Huq, H., Ihaya, K., Jayathilake, G., Marín-López, I., Jen, E., Jinadasa, A., Joksimovic, J., Kačmár, P., Kadreva, V., Kalinova, K., Kandeel, H. A. A., Kellezi, B., Khan, S., Kontogianni, M., Marot, T. A., Koszałkowska, K., Krzysztof, H., Lacko, D., Landa-Blanco, M., Lee, Y., Lieberoth, A., Lins, S., Liutsko, L., Londero-Santos, A., Mauritsen, A. L., Martínez, S., Maegli, M. A., Magidie, P., Maharjan, R., Makaveeva, T., Makhubela, M., Malagón, M. G., Malykh, S., Mamede, S., Mauka, J., Moss, S. M., Mushtaq, A., Musliu, A., Han, H., Mususa, D., Najmussaqib, A., Nasheeda, A., Nasr, R., Machado, N. N., Natividade, J. C., Ngowi, H. P., Nyarangi, C., Ogunbode, C., Onyutha, C., Milfont, T. L., Padmakumar, K., Paniagua, W., Pena, M. C., Pírko, M., Portela, M., Pouretemad, H., Rachev, N., Ratodi, M., Reifler, J., Sadeghi, S., and Parry, D.

Abstract

During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals’ experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy. © 2022, The Author(s).

Published
2022

4. Stress and worry in the 2020 coronavirus pandemic: relationships to trust and compliance with preventive measures across 48 countries in the COVIDiSTRESS global survey

Author

Lieberoth, A, Lin, S-Y, Stockli, S, Han, H, Kowal, M, Gelpi, R, Chrona, S, Tran, TP, Jeftic, A, Rasmussen, J, Cakal, H, Milfont, TL, Yamada, Y, Amin, R, Debove, S, Flis, I, Sahin, H, Turk, F, Yeh, Y-Y, Ho, YW, Sikka, P, Delgado-Garcia, G, Lacko, D, Mamede, S, Zerhouni, O, Tuominen, J, Bircan, T, Wang, AH-E, Ikizer, G, Lins, S, Studzinska, A, Uddin, MK, Juarez, FP-G, Chen, F-Y, Sanli, AM, Lys, AE, Reynoso-Alcantara, V, Flores Gonzalez, R, Griffin, AM, Lopez, CRC, Nezkusilova, J, Cepulic, D-B, Aquino, S, Marot, TA, Blackburn, AM, Boullu, L, Bavolar, J, Kacmar, P, Wu, CKS, Areias, JC, Natividade, JC, Mari, S, Ahmed, O, Dranseika, V, Cristofori, I, Coll-Martin, T, Eichel, K, Kumaga, R, Ermagan-Caglar, E, Bamwesigye, D, Tag, B, Contreras-Ibanez, CC, Aruta, JJBR, Naidu, PA, Dilekler, I, Cenek, J, Islam, MN, Ch'ng, B, Sechi, C, Nebel, S, Sayilan, G, Jha, S, Vestergren, S, Ihaya, K, Guillaume, G, Travaglino, GA, Rachev, NR, Hanusz, K, Pirko, M, West, JN, Cyrus-Lai, W, Najmussaqib, A, Romano, E, Noreika, V, Musliu, A, Sungailaite, E, Kosa, M, Lentoor, AG, Sinha, N, Bender, AR, Meshi, D, Bhandari, P, Byrne, G, Kalinova, K, Hubena, B, Ninaus, M, Diaz, C, Scarpaci, A, Koszalkowska, K, Pankowski, D, Yaneva, T, Morales-Izquierdo, S, Uzelac, E, Lee, Y, Hristova, D, Hakim, MA, Deschrijver, E, Kavanagh, PS, Shata, A, Reyna, C, De Leon, GA, Tisocco, F, Mola, DJ, Shani, M, Mahlungulu, S, Ozery, DH, Caniels, MCJ, Correa, PS, Ortiz, MV, Vilar, R, Makaveeva, T, Pummerer, L, Nikolova, I, Bujic, M, Szebeni, Z, Pennato, T, Taranu, M, Martinez, L, Capelos, T, Belaus, A, Dubrov, D, Lieberoth, A, Lin, S-Y, Stockli, S, Han, H, Kowal, M, Gelpi, R, Chrona, S, Tran, TP, Jeftic, A, Rasmussen, J, Cakal, H, Milfont, TL, Yamada, Y, Amin, R, Debove, S, Flis, I, Sahin, H, Turk, F, Yeh, Y-Y, Ho, YW, Sikka, P, Delgado-Garcia, G, Lacko, D, Mamede, S, Zerhouni, O, Tuominen, J, Bircan, T, Wang, AH-E, Ikizer, G, Lins, S, Studzinska, A, Uddin, MK, Juarez, FP-G, Chen, F-Y, Sanli, AM, Lys, AE, Reynoso-Alcantara, V, Flores Gonzalez, R, Griffin, AM, Lopez, CRC, Nezkusilova, J, Cepulic, D-B, Aquino, S, Marot, TA, Blackburn, AM, Boullu, L, Bavolar, J, Kacmar, P, Wu, CKS, Areias, JC, Natividade, JC, Mari, S, Ahmed, O, Dranseika, V, Cristofori, I, Coll-Martin, T, Eichel, K, Kumaga, R, Ermagan-Caglar, E, Bamwesigye, D, Tag, B, Contreras-Ibanez, CC, Aruta, JJBR, Naidu, PA, Dilekler, I, Cenek, J, Islam, MN, Ch'ng, B, Sechi, C, Nebel, S, Sayilan, G, Jha, S, Vestergren, S, Ihaya, K, Guillaume, G, Travaglino, GA, Rachev, NR, Hanusz, K, Pirko, M, West, JN, Cyrus-Lai, W, Najmussaqib, A, Romano, E, Noreika, V, Musliu, A, Sungailaite, E, Kosa, M, Lentoor, AG, Sinha, N, Bender, AR, Meshi, D, Bhandari, P, Byrne, G, Kalinova, K, Hubena, B, Ninaus, M, Diaz, C, Scarpaci, A, Koszalkowska, K, Pankowski, D, Yaneva, T, Morales-Izquierdo, S, Uzelac, E, Lee, Y, Hristova, D, Hakim, MA, Deschrijver, E, Kavanagh, PS, Shata, A, Reyna, C, De Leon, GA, Tisocco, F, Mola, DJ, Shani, M, Mahlungulu, S, Ozery, DH, Caniels, MCJ, Correa, PS, Ortiz, MV, Vilar, R, Makaveeva, T, Pummerer, L, Nikolova, I, Bujic, M, Szebeni, Z, Pennato, T, Taranu, M, Martinez, L, Capelos, T, Belaus, A, and Dubrov, D

Abstract

The COVIDiSTRESS global survey collects data on early human responses to the 2020 COVID-19 pandemic from 173 429 respondents in 48 countries. The open science study was co-designed by an international consortium of researchers to investigate how psychological responses differ across countries and cultures, and how this has impacted behaviour, coping and trust in government efforts to slow the spread of the virus. Starting in March 2020, COVIDiSTRESS leveraged the convenience of unpaid online recruitment to generate public data. The objective of the present analysis is to understand relationships between psychological responses in the early months of global coronavirus restrictions and help understand how different government measures succeed or fail in changing public behaviour. There were variations between and within countries. Although Western Europeans registered as more concerned over COVID-19, more stressed, and having slightly more trust in the governments' efforts, there was no clear geographical pattern in compliance with behavioural measures. Detailed plots illustrating between-countries differences are provided. Using both traditional and Bayesian analyses, we found that individuals who worried about getting sick worked harder to protect themselves and others. However, concern about the coronavirus itself did not account for all of the variances in experienced stress during the early months of COVID-19 restrictions. More alarmingly, such stress was associated with less compliance. Further, those most concerned over the coronavirus trusted in government measures primarily where policies were strict. While concern over a disease is a source of mental distress, other factors including strictness of protective measures, social support and personal lockdown conditions must also be taken into consideration to fully appreciate the psychological impact of COVID-19 and to understand why some people fail to follow behavioural guidelines intended to protect themselv

Published
2021

13. COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

Author

Blackburn, Angélique M., Vestergren, Sara, Tran, Thao P., Stöckli, Sabrina, Griffin, Siobhán M., Ntontis, Evangelos, Jeftic, Alma, Chrona, Stavroula, Ikizer, Gözde, Han, Hyemin, Milfont, Taciano L., Parry, Douglas, Byrne, Grace, Gómez-López, Mercedes, Acosta, Alida, Kowal, Marta, De Leon, Gabriel, Gallegos, Aranza, Perez, Miles, Abdelrahman, Mohamed, Ahern, Elayne, Yar, Ahmad Wali Ahmad, Ahmed, Oli, Alami, Nael H., Amin, Rizwana, Andersen, Lykke E., Araújo, Bráulio Oliveira, Asongu, Norah Aziamin, Bartsch, Fabian, Bavoľár, Jozef, Bhatta, Khem Raj, Bircan, Tuba, Bita, Shalani, Bombuwala, Hasitha, Brik, Tymofii, Cakal, Huseyin, Caniëls, Marjolein, Carballo, Marcela, Carvalho, Nathalia M., Cely, Laura, Chang, Sophie, Chayinska, Maria, Chen, Fang-Yu, Ch’ng, Brendan, Chukwuorji, JohnBosco Chika, Costa, Ana Raquel, Dalizu, Vidijah Ligalaba, Deschrijver, Eliane, Dilekler Aldemir, İlknur, Doherty, Anne M., Doller, Rianne, Dubrov, Dmitrii, Elegbede, Salem, Elizalde, Jefferson, Ermagan-Caglar, Eda, Fernández-Morales, Regina, García-Castro, Juan Diego, Gelpí, Rebekah, Ghafori, Shagofah, Goldberg, Ximena, González-Uribe, Catalina, Alpízar-Rojas, Harlen, Haugestad, Christian Andres Palacios, Higuera, Diana, Hoorelbeke, Kristof, Hristova, Evgeniya, Hubená, Barbora, Huq, Hamidul, Ihaya, Keiko, Jayathilake, Gosith, Jen, Enyi, Jinadasa, Amaani, Joksimovic, Jelena, Kačmár, Pavol, Kadreva, Veselina, Kalinova, Kalina, Kandeel, Huda Anter Abdallah, Kellezi, Blerina, Khan, Sammyh, Kontogianni, Maria, Koszałkowska, Karolina, Krzysztof, Hanusz, Lacko, David, Landa-Blanco, Miguel, Lee, Yookyung, Lieberoth, Andreas, Lins, Samuel, Liutsko, Liudmila, Londero-Santos, Amanda, Mauritsen, Anne Lundahl, Maegli, María Andrée, Magidie, Patience, Maharjan, Roji, Makaveeva, Tsvetelina, Makhubela, Malose, Malagón, María Gálvis, Malykh, Sergey, Mamede, Salomé, Mandillah, Samuel, Mansoor, Mohammad Sabbir, Mari, Silvia, Marín-López, Inmaculada, Marot, Tiago A., Martínez, Sandra, Mauka, Juma, Moss, Sigrun Marie, Mushtaq, Asia, Musliu, Arian, Mususa, Daniel, Najmussaqib, Arooj, Nasheeda, Aishath, Nasr, Ramona, Machado, Natalia Niño, Natividade, Jean Carlos, Ngowi, Honest Prosper, Nyarangi, Carolyne, Ogunbode, Charles, Onyutha, Charles, Padmakumar, K., Paniagua, Walter, Pena, Maria Caridad, Pírko, Martin, Portela, Mayda, Pouretemad, Hamidreza, Rachev, Nikolay, Ratodi, Muhamad, Reifler, Jason, Sadeghi, Saeid, Sahayanathan, Harishanth Samuel, Sanchez, Eva, Sandbakken, Ella Marie, Sandesh, Dhakal, Sanjesh, Shrestha, Schrötter, Jana, Shanthakumar, Sabarjah, Sikka, Pilleriin, Slaveykova, Konstantina, Studzinska, Anna, Subandi, Fadelia Deby, Subedi, Namita, Sullivan, Gavin Brent, Tag, Benjamin, Delphine, Takem Ebangha Agbor, Tamayo-Agudelo, William, Travaglino, Giovanni A., Tuominen, Jarno, Türk-Kurtça, Tuğba, Vakai, Matutu, Volkodav, Tatiana, Wang, Austin Horng-En Wang, Williams, Alphonsus, Wu, Charles, Yamada, Yuki, Yaneva, Teodora, Yañez, Nicolás, Yeh, Yao-Yuan, Zoletic, Emina, Department of Organisation, RS-Research Line Learning (part of LIRS program), Bircan, Tuba, Faculty of Sciences and Bioengineering Sciences, Brussels Centre for Urban Studies, Sociology, Faculty of Economic and Social Sciences and Solvay Business School, Faculdade de Psicologia e de Ciências da Educação, Blackburn, A, Vestergren, S, Tran, T, Stockli, S, Griffin, S, Ntontis, E, Jeftic, A, Chrona, S, Ikizer, G, Han, H, Milfont, T, Parry, D, Byrne, G, Gomez-Lopez, M, Acosta, A, Kowal, M, De Leon, G, Gallegos, A, Perez, M, Abdelrahman, M, Ahern, E, Yar, A, Ahmed, O, Alami, N, Amin, R, Andersen, L, Araujo, B, Asongu, N, Bartsch, F, Bavolar, J, Bhatta, K, Bircan, T, Bita, S, Bombuwala, H, Brik, T, Cakal, H, Caniels, M, Carballo, M, Carvalho, N, Cely, L, Chang, S, Chayinska, M, Chen, F, Ch'Ng, B, Chukwuorji, J, Costa, A, Dalizu, V, Deschrijver, E, Dilekler Aldemir, I, Doherty, A, Doller, R, Dubrov, D, Elegbede, S, Elizalde, J, Ermagan-Caglar, E, Fernandez-Morales, R, Garcia-Castro, J, Gelpi, R, Ghafori, S, Goldberg, X, Gonzalez-Uribe, C, Alpizar-Rojas, H, Haugestad, C, Higuera, D, Hoorelbeke, K, Hristova, E, Hubena, B, Huq, H, Ihaya, K, Jayathilake, G, Jen, E, Jinadasa, A, Joksimovic, J, Kacmar, P, Kadreva, V, Kalinova, K, Kandeel, H, Kellezi, B, Khan, S, Kontogianni, M, Koszalkowska, K, Krzysztof, H, Lacko, D, Landa-Blanco, M, Lee, Y, Lieberoth, A, Lins, S, Liutsko, L, Londero-Santos, A, Mauritsen, A, Maegli, M, Magidie, P, Maharjan, R, Makaveeva, T, Makhubela, M, Malagon, M, Malykh, S, Mamede, S, Mandillah, S, Mansoor, M, Mari, S, Marin-Lopez, I, Marot, T, Martinez, S, Mauka, J, Moss, S, Mushtaq, A, Musliu, A, Mususa, D, Najmussaqib, A, Nasheeda, A, Nasr, R, Machado, N, Natividade, J, Ngowi, H, Nyarangi, C, Ogunbode, C, Onyutha, C, Padmakumar, K, Paniagua, W, Pena, M, Pirko, M, Portela, M, Pouretemad, H, Rachev, N, Ratodi, M, Reifler, J, Sadeghi, S, Sahayanathan, H, Sanchez, E, Sandbakken, E, Sandesh, D, Sanjesh, S, Schrotter, J, Shanthakumar, S, Sikka, P, Slaveykova, K, Studzinska, A, Subandi, F, Subedi, N, Sullivan, G, Tag, B, Delphine, T, Tamayo-Agudelo, W, Travaglino, G, Tuominen, J, Turk-Kurtca, T, Vakai, M, Volkodav, T, Wang, A, Williams, A, Wu, C, Yamada, Y, Yaneva, T, Yanez, N, Yeh, Y, and Zoletic, E

Subjects
Statistics and Probability, perceived stress, 300 Social sciences, sociology & anthropology, compiance, Social Sciences, Library and Information Sciences, compliance, PANDEMIC, Education, stress, cross-cultural, well-being, Naturvetenskap, 650 Management & public relations, Samfund/samtid, Psychology, Humans, vaccine willingness, social norms, Social Behavior, resilience, Pandemics, SCALE, Psykologi, Pandemic, Trivsel, SARS-CoV-2, Statistics, HUMAN, COVID-19, health, trust, Public Health, Global Health, Social Medicine and Epidemiology, vaccines, Computer Science Applications, Coronavirus, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Probability and Uncertainty, Statistics, Probability and Uncertainty, Natural Sciences, GOVERNMENT, Human, Information Systems
Abstract

During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals’ experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy. © 2022, The Author(s). U.S. Department of Education, ED: P031S190304; Texas A and M International University, TAMIU; National Research University Higher School of Economics, ВШЭ The COVIDiSTRESS Consortium would like to acknowledge the contributions of friends and collaborators in translating and sharing the COVIDiSTRESS survey, as well as the study participants. Data analysis was supported by Texas A&M International University (TAMIU) Research Grant, TAMIU Act on Ideas, and the TAMIU Advancing Research and Curriculum Initiative (TAMIU ARC) awarded by the US Department of Education Developing Hispanic-Serving Institutions Program (Award # P031S190304). Data collection by Dmitrii Dubrov was supported within the framework of the Basic Research Program at HSE University, RF.

Published
2021

14. Gender-Specific Effect of CYP2C8*3 on the Risk of Essential Hypertension in Bulgarian Patients.

Author

Tzveova R, Naydenova G, Yaneva T, Dimitrov G, Vandeva S, Matrozova Y, Pendicheva-Duhlenska D, Popov I, Beltheva O, Naydenov C, Tarnovska-Kadreva R, Nachev G, Mitev V, and Kaneva R

Subjects
Adult, Bulgaria, Coronary Artery Disease genetics, Cytochrome P-450 CYP2C8 genetics, Essential Hypertension, Female, Humans, Hypertension epidemiology, Hypertension genetics, Male, Middle Aged, Myocardial Infarction genetics, Polymorphism, Genetic, Risk Factors, Sex Factors, Young Adult, Cytochrome P-450 CYP2C8 metabolism, Hypertension metabolism
Abstract

We conducted a case-control study to determine the contribution of polymorphisms in CYP2C8 (CYP2C8*3) and CYP2J2 (CYP2J2*7) to increased risk of coronary artery disease and essential hypertension in Bulgarians. The current analysis included 192 unrelated hypertensive patients, 261 patients with angiographically documented CAD (153 with myocardial infarction and 108 without myocardial infarction), and 496 population controls. The CYP2C8*3 and CYP2J2*7 polymorphisms were genotyped by TaqMan SNP Genotyping Assay. PLINK version 1.07 was used for the statistical analysis. No overall association was observed for the studied polymorphisms with coronary artery disease and essential hypertension. The frequency of -50T mutant allele of CYP2J2*7 was significantly higher in male with coronary artery disease without history of myocardial infarction (OR 2.16 95% CI 1.04-4.48 p = 0.035) compared to population control group, but this association did not survive after Bonferroni correction (p adj = 0.07). A significant association of CYP2C8*3 allele with increased risk of essential hypertension has found in men (OR 2.12 95% CI 1.18-3.81 p = 0.015) and this relationship remained significant after adjustment for multiple comparisons (p adj = 0.03). This is the first study showing significant gene-sex interaction for CYP2C8*3 with twofold increase in the relative risk of essential hypertension and a similar tendency for CYP2J2*7 associated with coronary artery disease without myocardial infarction in Bulgarian males. The association is not seen in females and in the whole group of patients. This result could be partly explained by the effect of estrogens on the vascular tone of coronary arteries and CYP2C8 gene expression.

Published
2015
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15. IL-27 increases the proliferation and effector functions of human naïve CD8+ T lymphocytes and promotes their development into Tc1 cells.

Author

Schneider R, Yaneva T, Beauseigle D, El-Khoury L, and Arbour N

Subjects
Antigens, Neoplasm analysis, Antigens, Neoplasm immunology, Antigens, Neoplasm metabolism, CD3 Complex immunology, CD8-Positive T-Lymphocytes metabolism, Carrier Proteins analysis, Carrier Proteins immunology, Carrier Proteins metabolism, Cell Proliferation, Cells, Cultured, Cytokine Receptor gp130 analysis, Cytokine Receptor gp130 immunology, Cytokine Receptor gp130 metabolism, Granzymes analysis, Granzymes immunology, Granzymes metabolism, Humans, Interferon-gamma analysis, Interferon-gamma immunology, Interferon-gamma metabolism, Interleukin-17 metabolism, STAT1 Transcription Factor analysis, STAT1 Transcription Factor immunology, STAT1 Transcription Factor metabolism, STAT3 Transcription Factor analysis, STAT3 Transcription Factor immunology, STAT3 Transcription Factor metabolism, STAT5 Transcription Factor immunology, STAT5 Transcription Factor metabolism, T-Box Domain Proteins analysis, T-Box Domain Proteins immunology, T-Box Domain Proteins metabolism, T-Lymphocytes, Cytotoxic metabolism, Th1 Cells immunology, Th1 Cells metabolism, CD8-Positive T-Lymphocytes immunology, Interleukin-17 immunology, Lymphocyte Activation immunology, T-Lymphocytes, Cytotoxic immunology
Abstract

IL-27 has been shown to exhibit both pro- and anti-inflammatory properties; it favors mouse naïve CD4(+) T-cell differentiation into Th1 cells to the detriment of Th17 and Th2 skewing and regulates IL-10 and IL-17 production by human CD4(+) T cells. Moreover, IL-27 promotes proliferation and cytotoxic functions of mouse CD8(+) T lymphocytes, but no data are available on human CD8(+) T cells. We investigated the impact of IL-27 on human CD8(+) T cells. In contrast to mouse T cells, the IL-27 receptor (IL-27R), composed of T cell cytokine receptor (TCCR) and gp130, was detected on a greater percentage of human CD8(+) than CD4(+) T cells and these proportions increased upon polyclonal activation. IL-27 induced rapid STAT1 and STAT3 signaling, enhanced STAT1 protein levels, and induced SOCS1 and SOCS3 expression in a STAT1-dependent manner by human CD8(+) T cells. Addition of IL-27 to α-CD3-activated naïve CD8(+) T cells significantly increased T-box transcription factor expression levels, cell proliferation, and IFN-γ and granzyme B production leading to increased CD8(+) T-cell-mediated cytotoxicity. These results demonstrate that IL-27, a rapidly produced cytokine by activated APC, has a profound impact on human naïve CD8(+) T cells, driving them to become highly efficient Tc1 cells., (Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Published
2011
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