Search

Your search keyword '"Zoletic, E."' showing total 7 results
Start Over Author "Zoletic, E."
7 results on '"Zoletic, E."'

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 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

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

Author

Vestergren S., Zoletic E., Stöckli S., Tran T.P., Blackburn A.M., Vestergren S., Zoletic E., Stöckli S., Tran T.P., and Blackburn A.M.

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, ???, 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
2022

4. Contributing Factors to the Quality of Life in Multiple Sclerosis

Author

Sehanovic, A. (Aida), Kunic, S. (Suljo), Ibrahimagic, O.C. (Omer C.), Smajlovic, D. (Dzevdet), Tupkovic, E. (Emir), Mehicevic, A. (Admir), Zoletic, E. (Emina), Sehanovic, A. (Aida), Kunic, S. (Suljo), Ibrahimagic, O.C. (Omer C.), Smajlovic, D. (Dzevdet), Tupkovic, E. (Emir), Mehicevic, A. (Admir), and Zoletic, E. (Emina)

Abstract

Introduction: Multiple sclerosis (MS) is a chronic, inflammatory, (auto) immune disease of the central nervous system (CNS). Quality of life (QoL) refers to the perception of an individual's life in the context of the system of culture and values in which they live. Aim: The

Published
2020
Full Text
View/download PDF

5. 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
Full Text
View/download PDF

6. Contributing Factors to the Quality of Life in Multiple Sclerosis.

Author

Sehanovic A, Kunic S, Ibrahimagic OC, Smajlovic D, Tupkovic E, Mehicevic A, and Zoletic E

Subjects
Adult, Disability Evaluation, Female, Healthy Volunteers, Humans, Male, Middle Aged, Prospective Studies, Psychiatric Status Rating Scales, Risk Factors, Cognition Disorders etiology, Depression etiology, Multiple Sclerosis complications, Multiple Sclerosis psychology, Quality of Life psychology
Abstract

Introduction: Multiple sclerosis (MS) is a chronic, inflammatory, (auto) immune disease of the central nervous system (CNS). Quality of life (QoL) refers to the perception of an individual's life in the context of the system of culture and values in which they live., Aim: The aim of the study was to determine the distribution of cognitive disorders in people with MS., Methods: The prospective study included 135 participants with MS and 50 healthy participants. Participants were divided into three groups: the first group consisted of 85 participants where the disease lasted longer than one year, the second group consisted of 50 participants with newly diagnosed MS, the third group consisted of 50 healthy participants. The instruments of clinical assessment were: Extended Disability Score in Multiple Sclerosis Patients, Mini Mental Status, Beck Depression Scale, and Quality of Life Scale (SF-36, Contemporary Health Survey)., Results: The quality of life related to health is impaired in the physical, mental dimension and overall quality of life. In the first group of participants, 62% had mild depression, and in the second group 38% of participants, while more severe forms were recorded in 16% of participants in both groups. As depression increases, the quality of life decreases in all measured dimensions, which would mean that depression negatively affects the quality of life. The results of all dimensions as well as the overall quality of life score are worse with the increase in the degree of clinical disability, for both groups of study patients., Conclusion: Quality of life is impaired in MS patients, and a higher degree of clinical disability and an increase in depressive disorder are predictors of deteriorating quality of life in MS patients., Competing Interests: The authors declare no conflicts of interest., (© 2020 Aida Sehanovic, Suljo Kunic, Omer C. Ibrahimagic, Dzevdet Smajlovic, Emir Tupkovic, Admir Mehicevic, Emina Zoletic.)

Published
2020
Full Text
View/download PDF

7. Cognitive Disorders in Patients with Multiple Sclerosis.

Author

Sehanovic A, Smajlovic D, Tupkovic E, Ibrahimagic OC, Kunic S, Dostovic Z, Zoletic E, and Pasic Z

Abstract

Introduction: Multiple sclerosis (MS) is a chronic, inflammatory, (auto) immune disease of the central nervous system (CNS). Cognitive disorders are found in over 50% of patients., Aim: The aim of the study was to determine the distribution of cognitive disorders in people with MS., Methods: The prospective study included 135 respondents with MS and 50 healthy respondents. The respondents were divided into three groups: the first group consisted of 85 respondents where the disease lasted longer than one year, the second group consisted of 50 respondents with newly diagnosed MS, the third group consisted of 50 healthy respondents. Clinical assessment instruments were: Extended Disability Score in Multiple Sclerosis Patients, Mini Mental Status, Battery of Tests to Assess Cognitive Functions: Wechsler Intelligence Scale, Revised Beta Test, Raven Colored Progressive Matrices, Wechsler Memory Scale, Rey Audio Verbal Learning Test -Osterriecht's complex character test, verbal fluency test., Results: Cognitive disorders were present in 40-60% of respondents with MS. Visuospatial, visuoconstructive and visuoperceptive functions are worse in the first group. Mnestic functions (learning process, short-term and long-term memory, recollection, verbal-logical memory) were most affected in both groups of respondents, ranging from 30-60%. Poorer cognitive domains are in the first groups of respondents. Immediate working process memory (current learning), memory, attention, short-term and logical memory is worse in the examinees of the first group. At the beginning of the disease, 16% had verbal fluency difficulties, and as the disease progresses, the difficulties become more pronounced., Conclusion: Cognitive disorders are heterogeneous, they can be noticed in the early stages of the disease. They refer to impairments of working memory, executive functions and attention, while global intellectual efficiency is later reduced., Competing Interests: The author has no conflict of interest., (© 2020 Aida Sehanovic, Dzevdet Smajlovic, Emir Tupkovic, Omer C. Ibrahimagic, Suljo Kunic, Zikrija Dostovic, Emina Zoletic, Zejneba Pasic.)

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results