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1. Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data

Author

Birga M. Schumpe, Caspar J. Van Lissa, Jocelyn J. Bélanger, Kai Ruggeri, Jochen Mierau, Claudia F. Nisa, Erica Molinario, Michele J. Gelfand, Wolfgang Stroebe, Maximilian Agostini, Ben Gützkow, Bertus F. Jeronimus, Jannis Kreienkamp, Maja Kutlaca, Edward P. Lemay, Anne Margit Reitsema, Michelle R. vanDellen, Georgios Abakoumkin, Jamilah Hanum Abdul Khaiyom, Vjollca Ahmedi, Handan Akkas, Carlos A. Almenara, Mohsin Atta, Sabahat Cigdem Bagci, Sima Basel, Edona Berisha Kida, Allan B. I. Bernardo, Nicholas R. Buttrick, Phatthanakit Chobthamkit, Hoon-Seok Choi, Mioara Cristea, Sara Csaba, Kaja Damnjanović, Ivan Danyliuk, Arobindu Dash, Daniela Di Santo, Karen M. Douglas, Violeta Enea, Daiane Faller, Gavan J. Fitzsimons, Alexandra Gheorghiu, Ángel Gómez, Ali Hamaidia, Qing Han, Mai Helmy, Joevarian Hudiyana, Ding-Yu Jiang, Veljko Jovanović, Zeljka Kamenov, Anna Kende, Shian-Ling Keng, Tra Thi Thanh Kieu, Yasin Koc, Kamila Kovyazina, Inna Kozytska, Joshua Krause, Arie W. Kruglanski, Anton Kurapov, Nóra Anna Lantos, Cokorda Bagus J. Lesmana, Winnifred R. Louis, Adrian Lueders, Najma Iqbal Malik, Anton P. Martinez, Kira O. McCabe, Jasmina Mehulić, Mirra Noor Milla, Idris Mohammed, Manuel Moyano, Hayat Muhammad, Silvana Mula, Hamdi Muluk, Solomiia Myroniuk, Reza Najafi, Boglárka Nyúl, Paul A. O’Keefe, Jose Javier Olivas Osuna, Evgeny N. Osin, Joonha Park, Gennaro Pica, Antonio Pierro, Jonas H. Rees, Elena Resta, Marika Rullo, Michelle K. Ryan, Adil Samekin, Pekka Santtila, Edyta Sasin, Heyla A. Selim, Michael Vicente Stanton, Samiah Sultana, Robbie M. Sutton, Eleftheria Tseliou, Akira Utsugi, Jolien A. van Breen, Kees Van Veen, Alexandra Vázquez, Robin Wollast, Victoria Wai-Lan Yeung, Somayeh Zand, Iris Lav Žeželj, Bang Zheng, Andreas Zick, Claudia Zúñiga, and N. Pontus Leander

Subjects
Medicine, Science
Abstract

Abstract The present paper examines longitudinally how subjective perceptions about COVID-19, one’s community, and the government predict adherence to public health measures to reduce the spread of the virus. Using an international survey (N = 3040), we test how infection risk perception, trust in the governmental response and communications about COVID-19, conspiracy beliefs, social norms on distancing, tightness of culture, and community punishment predict various containment-related attitudes and behavior. Autoregressive analyses indicate that, at the personal level, personal hygiene behavior was predicted by personal infection risk perception. At social level, social distancing behaviors such as abstaining from face-to-face contact were predicted by perceived social norms. Support for behavioral mandates was predicted by confidence in the government and cultural tightness, whereas support for anti-lockdown protests was predicted by (lower) perceived clarity of communication about the virus. Results are discussed in light of policy implications and creating effective interventions.

Published
2022
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2. COVID-19 stressors and health behaviors: A multilevel longitudinal study across 86 countries

Author

Shian-Ling Keng, Michael V. Stanton, LeeAnn B. Haskins, Carlos A. Almenara, Jeannette Ickovics, Antwan Jones, Diana Grigsby-Toussaint, Maximilian Agostini, Jocelyn J. Bélanger, Ben Gützkow, Jannis Kreienkamp, Edward P. Lemay, Jr., Michelle R. vanDellen, Georgios Abakoumkin, Jamilah Hanum Abdul Khaiyom, Vjollca Ahmedi, Handan Akkas, Mohsin Atta, Sabahat Cigdem Bagci, Sima Basel, Edona Berisha Kida, Allan B.I. Bernardo, Nicholas R. Buttrick, Phatthanakit Chobthamkit, Hoon–Seok Choi, Mioara Cristea, Sára Csaba, Kaja Damnjanovic, Ivan Danyliuk, Arobindu Dash, Daniela Di Santo, Karen M. Douglas, Violeta Enea, Daiane G. Faller, Gavan Fitzsimons, Alexandra Gheorghiu, Ángel Gómez, Ali Hamaidia, Qing Han, Mai Helmy, Joevarian Hudiyana, Bertus F. Jeronimus, Ding–Yu Jiang, Veljko Jovanović, Željka Kamenov, Anna Kende, Tra Thi Thanh Kieu, Yasin Koc, Kamila Kovyazina, Inna Kozytska, Joshua Krause, Arie W. Kruglanski, Anton Kurapov, Maja Kutlaca, Nóra Anna Lantos, Cokorda Bagus Jaya Lesmana, Winnifred R. Louis, Adrian Lueders, Marta Maj, Najma Iqbal Malik, Anton Martinez, Kira O. McCabe, Jasmina Mehulić, Mirra Noor Milla, Idris Mohammed, Erica Molinario, Manuel Moyano, Hayat Muhammad, Silvana Mula, Hamdi Muluk, Solomiia Myroniuk, Reza Najafi, Claudia F. Nisa, Boglárka Nyúl, Paul A. O'Keefe, Jose Javier Olivas Osuna, Evgeny N. Osin, Joonha Park, Gennaro Pica, Antonio Pierro, Jonas Rees, Anne Margit Reitsema, Elena Resta, Marika Rullo, Michelle K. Ryan, Adil Samekin, Pekka Santtila, Edyta M. Sasin, Birga M. Schumpe, Heyla A. Selim, Wolfgang Stroebe, Samiah Sultana, Robbie M. Sutton, Eleftheria Tseliou, Akira Utsugi, Jolien Anne van Breen, Caspar J. Van Lissa, Kees Van Veen, Alexandra Vázquez, Robin Wollast, Victoria Wai–lan Yeung, Somayeh Zand, Iris Lav Žeželj, Bang Zheng, Andreas Zick, Claudia Zúñiga, and N. Pontus Leander

Subjects
COVID-19, Health behaviors, Infection risk, Economic burden, Medicine
Abstract

Anxiety associated with the COVID-19 pandemic and home confinement has been associated with adverse health behaviors, such as unhealthy eating, smoking, and drinking. However, most studies have been limited by regional sampling, which precludes the examination of behavioral consequences associated with the pandemic at a global level. Further, few studies operationalized pandemic-related stressors to enable the investigation of the impact of different types of stressors on health outcomes. This study examined the association between perceived risk of COVID-19 infection and economic burden of COVID-19 with health-promoting and health-damaging behaviors using data from the PsyCorona Study: an international, longitudinal online study of psychological and behavioral correlates of COVID-19. Analyses utilized data from 7,402 participants from 86 countries across three waves of assessment between May 16 and June 13, 2020. Participants completed self-report measures of COVID-19 infection risk, COVID-19-related economic burden, physical exercise, diet quality, cigarette smoking, sleep quality, and binge drinking. Multilevel structural equation modeling analyses showed that across three time points, perceived economic burden was associated with reduced diet quality and sleep quality, as well as increased smoking. Diet quality and sleep quality were lowest among respondents who perceived high COVID-19 infection risk combined with high economic burden. Neither binge drinking nor exercise were associated with perceived COVID-19 infection risk, economic burden, or their interaction. Findings point to the value of developing interventions to address COVID-related stressors, which have an impact on health behaviors that, in turn, may influence vulnerability to COVID-19 and other health outcomes.

Published
2022
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3. Concern with COVID-19 pandemic threat and attitudes towards immigrants: The mediating effect of the desire for tightness

Author

Silvana Mula, Daniela Di Santo, Elena Resta, Farin Bakhtiari, Conrad Baldner, Erica Molinario, Antonio Pierro, Michele J. Gelfand, Emmy Denison, Maximilian Agostini, Jocelyn J. Bélanger, Ben Gützkow, Jannis Kreienkamp, Georgios Abakoumkin, Jamilah Hanum Abdul Khaiyom, Vjollca Ahmedi, Handan Akkas, Carlos A. Almenara, Mohsin Atta, Sabahat Cigdem Bagci, Sima Basel, Edona Berisha Kida, Allan B.I. Bernardo, Nicholas R. Buttrick, Phatthanakit Chobthamkit, Hoon-Seok Choi, Mioara Cristea, Sára Csaba, Kaja Damnjanovic, Ivan Danyliuk, Arobindu Dash, Karen M. Douglas, Violeta Enea, Daiane Gracieli Faller, Gavan J. Fitzsimons, Alexandra Gheorghiu, Ángel Gómez, Ali Hamaidia, Qing Han, Mai Helmy, Joevarian Hudiyana, Bertus F. Jeronimus, Ding-Yu Jiang, Veljko Jovanović, Željka Kamenov, Anna Kende, Shian-Ling Keng, Tra Thi Thanh Kieu, Yasin Koc, Kamila Kovyazina, Inna Kozytska, Joshua Krause, Arie W. Kruglanski, Anton Kurapov, Maja Kutlaca, Nóra Anna Lantos, Edward P. Lemay, Jr, Cokorda Bagus Jaya Lesmana, Winnifred R. Louis, Adrian Lueders, Najma Iqbal Malik, Anton Martinez, Kira O. McCabe, Jasmina Mehulić, Mirra Noor Milla, Idris Mohammed, Manuel Moyano, Hayat Muhammad, Hamdi Muluk, Solomiia Myroniuk, Reza Najafi, Claudia F. Nisa, Boglárka Nyúl, Paul A. O'Keefe, Jose Javier Olivas Osuna, Evgeny N. Osin, Joonha Park, Gennaro Pica, Jonas H. Rees, Anne Margit Reitsema, Marika Rullo, Michelle K. Ryan, Adil Samekin, Pekka Santtila, Edyta Sasin, Birga Mareen Schumpe, Heyla A. Selim, Michael Vicente Stanton, Wolfgang Stroebe, Samiah Sultana, Robbie M. Sutton, Eleftheria Tseliou, Akira Utsugi, Jolien Anne van Breen, Caspar J. van Lissa, Kees Van Veen, Michelle R. vanDellen, Alexandra Vázquez, Robin Wollast, Victoria Wai-lan Yeung, Somayeh Zand, Iris Lav Žeželj, Bang Zheng, Andreas Zick, Claudia Zúñiga, and N. Pontus Leander

Subjects
COVID-19, Threat, Desire for tightness, Negative attitudes, Psychology, BF1-990
Abstract

Tightening social norms is thought to be adaptive for dealing with collective threat yet it may have negative consequences for increasing prejudice. The present research investigated the role of desire for cultural tightness, triggered by the COVID-19 pandemic, in increasing negative attitudes towards immigrants. We used participant-level data from 41 countries (N = 55,015) collected as part of the PsyCorona project, a cross-national longitudinal study on responses to COVID-19. Our predictions were tested through multilevel and SEM models, treating participants as nested within countries. Results showed that people's concern with COVID-19 threat was related to greater desire for tightness which, in turn, was linked to more negative attitudes towards immigrants. These findings were followed up with a longitudinal model (N = 2,349) which also showed that people's heightened concern with COVID-19 in an earlier stage of the pandemic was associated with an increase in their desire for tightness and negative attitudes towards immigrants later in time. Our findings offer insight into the trade-offs that tightening social norms under collective threat has for human groups.

Published
2022
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4. Correction: Politicization of COVID-19 health-protective behaviors in the United States: Longitudinal and cross-national evidence

Author

Wolfgang Stroebe, Michelle R. vanDellen, Georgios Abakoumkin, Edward P. Lemay, William M Schiavone, Maximilian Agostini, Jocelyn J. Bélanger, Ben Gützkow, Jannis Kreienkamp, Anne Margit Reitsema, Jamilah Hanum Abdul Khaiyom, Vjolica Ahmedi, Handan Akkas, Carlos A. Almenara, Mohsin Atta, Sabahat Cigdem Bagci, Sima Basel, Edona Berisha Kida, Allan B. I. Bernardo, Nicholas R. Buttrick, Phatthanakit Chobthamkit, Hoon-Seok Choi, Mioara Cristea, Sára Csaba, Kaja Damnjanović, Ivan Danyliuk, Arobindu Dash, Daniela Di Santo, Karen M Douglas, Violeta Enea, Daiane Gracieli Faller, Gavan Fitzsimons, Alexandra Gheorghiu, Ángel Gómez, Ali Hamaidia, Qing Han, Mai Helmy, Joevarian Hudiyana, Bertus F. Jeronimus, Ding-Yu Jiang, Veljko Jovanović, Željka Kamenov, Anna Kende, Shian-Ling Keng, Tra Thi Thanh Kieu, Yasin Koc, Kamila Kovyazina, Inna Kozytska, Joshua Krause, Arie W. Kruglanksi, Anton Kurapov, Maja Kutlaca, Nóra Anna Lantos, Cokorda Bagus Jaya Lemsmana, Winnifred R. Louis, Adrian Lueders, Najma Iqbal Malik, Anton Martinez, Kira O. McCabe, Jasmina Mehulić, Mirra Noor Milla, Idris Mohammed, Erica Molinario, Manuel Moyano, Hayat Muhammad, Silvana Mula, Hamdi Muluk, Solomiia Myroniuk, Reza Najafi, Claudia F. Nisa, Boglárka Nyú, Paul A. O’Keefe, Jose Javier Olivas Osuna, Evgeny N. Osin, Joonha Park, Gennaro Pica, Antonio Pierro, Jonas Rees, Elena Resta, Marika Rullo, Michelle K. Ryan, Adil Samekin, Pekka Santtila, Edyta Sasin, Birga M. Schumpe, Heyla A. Selim, Michael Vicente Stanton, Samiah Sultana, Robbie M. Sutton, Eleftheria Tseliou, Akira Utsugi, Jolien Anne van Breen, Caspar J. Van Lissa, Kees Van Veen, Alexandra Vázquez, Robin Wollast, Victoria Wai-Lan Yeung, Somayeh Zand, Iris Lav Žeželj, Bang Zheng, Andreas Zick, Claudia Zúñiga, and N. Pontus Leander

Subjects
Medicine, Science
Published
2022

5. Trust in government regarding COVID-19 and its associations with preventive health behaviour and prosocial behaviour during the pandemic

Author

Han, Q., Zheng, B., Cristea, M., Agostini, M., Belanger, J. J., Gutzkow, B., Kreienkamp, J., Georgios, Abakoumkin, Jamilah, Hanum, Abdul Khaiyom Vjollca Ahmedi, Handan, Akkas, Almenara, Carlos A., Anton, Kurapov, Mohsin, Atta, Sabahat Cigdem Bagci, Daniel, Balliet, Sima, Basel, Edona Berisha Kida, Buttrick, Nicholas R., Phatthanakit, Chobthamkit, Hoon-Seok, Choi, Sára, Csaba, Kaja, Damnjanovic, Ivan, Danyliuk, Arobindu, Dash, DI SANTO, Daniela, Douglas, Karen M., Violeta, Enea, Daiane Gracieli Faller, Gavan, Fitzsimons, Alexandra, Gheorghiu, Ángel, Gómez, Mai, Helmy, Joevarian, Hudiyana, Jeronimus, Bertus F., Ding-Yu, Jiang, Shuxian, Jin, Veljko, Jovanović, Željka, Kamenov, Anna, Kende, Shian-Ling, Keng, Tra Thi Thanh Kieu, Yasin, Koc, Kamila, Kovyazina, Inna, Kozytska, Joshua, Krause, Kruglanski, Arie W., Maja, Kutlaca, Nóra Anna Lantos, Lemay, Edward P., Cokorda Bagus Jaya Lesmana, Louis, Winnifred R., Adrian, Lueders, Najma, Malik, Anton, Martinez, Mccabe, Kira O., Jasmina, Mehulić, Mirra Noor Milla, Idris, Mohammed, Erica, Molinario, Manuel, Moyano, Hayat, Muhammad, Mula, Silvana, Hamdi, Muluk, Solomiia, Myroniuk, Reza, Najafi, Nisa, Claudia F., Boglárka, Nyúl, O'Keefe, Paul A., Jose Javier Olivas Osuna, Osin, Evgeny N., Joonha, Park, Gennaro, Pica, Pierro, Antonio, Jonas, Rees, Anne Margit Reitsema, Resta, Elena, Angelo, Romano, Marika, Rullo, Ryan, Michelle K., Adil, Samekin, Pekka, Santtila, Edyta, Sasin, Birga Mareen Schumpe, Heyla, A Selim, Giuliana, Spadaro, Michael Vicente Stanton, Wolfgang, Stroebe, Samiah, Sultana, Sutton, Robbie M., Eleftheria, Tseliou, Akira, Utsugi, Jolien Anne van Breen, van Lissa, Caspar J., Kees Van Veen, Vandellen, Michelle R., Alexandra, Vázquez, Robin, Wollast, Victoria Wai-lan Yeung, Somayeh, Zand, Iris Lav Žeželj, Andreas, Zick, Claudia, Zúñiga, Pontus, Leander., Social Psychology, and Developmental Psychology

Subjects
Longitudinal study, SATISFACTION, Public policy, BF, Trust, Structural equation modeling, Compliance (psychology), LESSONS, 03 medical and health sciences, 0302 clinical medicine, Environmental health, Pandemic, 050602 political science & public administration, 030212 general & internal medicine, Trust in government, COVID-19, Health Behaviours, Pro-social Behaviours, Baseline (configuration management), Applied Psychology, Government, CONSEQUENCES, POLITICAL RELEVANCE, Health Behaviours, 05 social sciences, GOVERNANCE, 0506 political science, Coronavirus, Psychiatry and Mental health, Prosocial behavior, Health, PUBLIC-HEALTH, Original Article, Psychology, DIFFICULTIES, PsyCorona, Covid-19
Abstract

BackgroundThe effective implementation of government policies and measures for controlling the coronavirus disease 2019 (COVID-19) pandemic requires compliance from the public. This study aimed to examine cross-sectional and longitudinal associations of trust in government regarding COVID-19 control with the adoption of recommended health behaviours and prosocial behaviours, and potential determinants of trust in government during the pandemic.MethodsThis study analysed data from the PsyCorona Survey, an international project on COVID-19 that included 23 733 participants from 23 countries (representative in age and gender distributions by country) at baseline survey and 7785 participants who also completed follow-up surveys. Specification curve analysis was used to examine concurrent associations between trust in government and self-reported behaviours. We further used structural equation model to explore potential determinants of trust in government. Multilevel linear regressions were used to examine associations between baseline trust and longitudinal behavioural changes.ResultsHigher trust in government regarding COVID-19 control was significantly associated with higher adoption of health behaviours (handwashing, avoiding crowded space, self-quarantine) and prosocial behaviours in specification curve analyses (median standardised β = 0.173 and 0.229, p < 0.001). Government perceived as well organised, disseminating clear messages and knowledge on COVID-19, and perceived fairness were positively associated with trust in government (standardised β = 0.358, 0.230, 0.056, and 0.249, p < 0.01). Higher trust at baseline survey was significantly associated with lower rate of decline in health behaviours over time (p for interaction = 0.001).ConclusionsThese results highlighted the importance of trust in government in the control of COVID-19.

Published
2023

6. Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic

Author

Caspar J. Van Lissa, Wolfgang Stroebe, Michelle R. vanDellen, N. Pontus Leander, Maximilian Agostini, Tim Draws, Andrii Grygoryshyn, Ben Gützgow, Jannis Kreienkamp, Clara S. Vetter, Georgios Abakoumkin, Jamilah Hanum Abdul Khaiyom, Vjolica Ahmedi, Handan Akkas, Carlos A. Almenara, Mohsin Atta, Sabahat Cigdem Bagci, Sima Basel, Edona Berisha Kida, Allan B.I. Bernardo, Nicholas R. Buttrick, Phatthanakit Chobthamkit, Hoon-Seok Choi, Mioara Cristea, Sára Csaba, Kaja Damnjanović, Ivan Danyliuk, Arobindu Dash, Daniela Di Santo, Karen M. Douglas, Violeta Enea, Daiane Gracieli Faller, Gavan J. Fitzsimons, Alexandra Gheorghiu, Ángel Gómez, Ali Hamaidia, Qing Han, Mai Helmy, Joevarian Hudiyana, Bertus F. Jeronimus, Ding-Yu Jiang, Veljko Jovanović, Željka Kamenov, Anna Kende, Shian-Ling Keng, Tra Thi Thanh Kieu, Yasin Koc, Kamila Kovyazina, Inna Kozytska, Joshua Krause, Arie W. Kruglanksi, Anton Kurapov, Maja Kutlaca, Nóra Anna Lantos, Edward P. Lemay, Cokorda Bagus Jaya Lesmana, Winnifred R. Louis, Adrian Lueders, Najma Iqbal Malik, Anton P. Martinez, Kira O. McCabe, Jasmina Mehulić, Mirra Noor Milla, Idris Mohammed, Erica Molinario, Manuel Moyano, Hayat Muhammad, Silvana Mula, Hamdi Muluk, Solomiia Myroniuk, Reza Najafi, Claudia F. Nisa, Boglárka Nyúl, Paul A. O’Keefe, Jose Javier Olivas Osuna, Evgeny N. Osin, Joonha Park, Gennaro Pica, Antonio Pierro, Jonas H. Rees, Anne Margit Reitsema, Elena Resta, Marika Rullo, Michelle K. Ryan, Adil Samekin, Pekka Santtila, Edyta M. Sasin, Birga M. Schumpe, Heyla A. Selim, Michael Vicente Stanton, Samiah Sultana, Robbie M. Sutton, Eleftheria Tseliou, Akira Utsugi, Jolien Anne van Breen, Kees Van Veen, Alexandra Vázquez, Robin Wollast, Victoria Wai-Lan Yeung, Somayeh Zand, Iris Lav Žeželj, Bang Zheng, Andreas Zick, Claudia Zúñiga, Jocelyn J. Bélanger, Social Psychology, Developmental Psychology, Research programme OB, Research programme GEM, Sociale Psychologie (Psychologie, FMG), University of Groningen, SOM OB, Experimental Psychology, and SOM GEM

Subjects
Infection risk, public goods dilemma, General Decision Sciences, Health sciences, COVID-19, implemented, Economic burden, Proof-of-concept: Data science output has been formulated, implemented, and tested for one domain/problem [DSML2], and tested for one domain/problem, Social norms, health behaviors, Machine learning, Health Behaviors, Social Norms, Public Goods DilemmaJo, DSML2: Proof-of-concept: Data science output has been formulated, machine learning, DSML2: Proof-of-concept: Data science output has been formulated, implemented, and tested for one domain/problem, Public goods dilemma, covid-19, social norms, random forest, Health behaviors, Random forest
Abstract

Before vaccines for coronavirus disease 2019 (COVID-19) became available, a set of infection-prevention behaviors constituted the primary means to mitigate the virus spread. Our study aimed to identify important predictors of this set of behaviors. Whereas social and health psychological theories suggest a limited set of predictors, machine-learning analyses can identify correlates from a larger pool of candidate predictors. We used random forests to rank 115 candidate correlates of infection-prevention behavior in 56,072 participants across 28 countries, administered in March to May 2020. The machine-learning model predicted 52% of the variance in infection-prevention behavior in a separate test sample—exceeding the performance of psychological models of health behavior. Results indicated the two most important predictors related to individual-level injunctive norms. Illustrating how data-driven methods can complement theory, some of the most important predictors were not derived from theories of health behavior—and some theoretically derived predictors were relatively unimportant. New York University Abu Dhabi Revisión por pares

Published
2022

7. ‘We are all in the same boat’: How societal discontent affects intention to help during the COVID-19 pandemic

Author

Zeljka Kamenov, Hoon Seok Choi, Marika Rullo, N. Pontus Leander, Joonha Park, Ángel Gómez, Violeta Enea, Alexandra Gheorghiu, Alexandra Vázquez, Bertus F. Jeronimus, Ben Gützkow, Jonas Rees, Boglárka Nyúl, Daiane Gracieli Faller, Daniela Di Santo, Sára Csaba, Vjollca Ahmedi, Mirra Noor Milla, Ivan Danyliuk, Ding-Yu Jiang, Jannis Kreienkamp, Jasmina Mehulić, Elena Resta, Hayat Muhammad, Najma Iqbal Malik, Jolien Anne van Breen, Handan Akkas, Reza Najafi, Nick Buttrick, Claudia F. Nisa, Silvana Mula, Sabahat Cigdem Bagci, Caspar J. van Lissa, Maximilian Agostini, Karen M. Douglas, Victoria Wai-lan Yeung, Anna Kende, Arie W. Kruglanski, Evgeny Osin, Antonio Pierro, Idris Mohammed, Kees van Veen, Pekka Santtila, Edona Berisha Kida, Bang Zheng, Maja Kutlaca, Michelle K. Ryan, Mioara Cristea, Anton P. Martinez, Ali Hamaidia, Kira O. McCabe, Jocelyn J. Bélanger, Cokorda Bagus Jaya Lesmana, Shian-Ling Keng, Heyla A. Selim, Birga M. Schumpe, Michelle R. van Dellen, Yasin Koc, Solomiia Myroniuk, Phatthanakit Chobthamkit, Robin Wollast, Adil Samekin, Sima Basel, Manuel Moyano, Inna Kozytska, Edyta Sasin, Somayeh Zand, Arobindu Dash, Akira Utsugi, Kaja Damnjanović, Georgios Abakoumkin, Conrad Baldner, Wolfgang Stroebe, Robbie M. Sutton, Claudia Zúñiga, Joshua Krause, Edward P. Lemay, Eleftheria Tseliou, Kamila Kovyazina, Joevarian Hudiyana, Andreas Zick, Hamdi Muluk, Carlos A. Almenara, Adrian Lueders, Nóra Anna Lantos, Erica Molinario, Winnifred R. Louis, Gavan J. Fitzsimons, José Javier Olivas Osuna, Tra Thi Thanh Kieu, Iris Žeželj, Samiah Sultana, Mohsin Atta, Paul A. O’Keefe, Anton Kurapov, Anne Margit Reitsema, Qing Han, Allan B. I. Bernardo, Jamilah Hanum Abdul Khaiyom, Gennaro Pica, Veljko Jovanović, Mai Helmy, Michael Vicente Stanton, Sociale Psychologie (Psychologie, FMG), Social Psychology, Developmental Psychology, Research programme OB, Research programme GEM, Organizational Psychology, Afd Sociale-,gezondheids- en organ.psych, Leerstoel Heijden, and Methodology and statistics for the behavioural and social sciences

Subjects
Longitudinal study, COVID-19, intention to help, societal discontent, Coronavirus disease 2019 (COVID-19), Social Psychology, Sociology and Political Science, media_common.quotation_subject, 050109 social psychology, Crisis management, State (polity), COVID‐19, Political science, Phenomenon, 0502 economics and business, Pandemic, Global health, 0501 psychology and cognitive sciences, Research Articles, media_common, 05 social sciences, Multilevel model, 1. No poverty, 3. Good health, Social psychology, 050203 business & management, Research Article
Abstract

The coronavirus disease 2019 (COVID-19) pandemic has caused a global health crisis. Consequently, many countries have adopted restrictive measures that caused a substantial change in society. Within this framework, it is reasonable to suppose that a sentiment of societal discontent, defined as generalized concern about the precarious state of society, has arisen. Literature shows that collectively experienced situations can motivate people to help each other. Since societal discontent is conceptualized as a collective phenomenon, we argue that it could influence intention to help others, particularly those who suffer from coronavirus. Thus, in the present study, we aimed (a) to explore the relationship between societal discontent and intention to help at the individual level and (b) to investigate a possible moderating effect of societal discontent at the country level on this relationship. To fulfil our purposes, we used data collected in 42 countries (N = 61,734) from the PsyCorona Survey, a cross-national longitudinal study. Results of multilevel analysis showed that, when societal discontent is experienced by the entire community, individuals dissatisfied with society are more prone to help others. Testing the model with longitudinal data (N = 3,817) confirmed our results. Implications for those findings are discussed in relation to crisis management. Please refer to the Supplementary Material section to find this article's Community and Social Impact Statement. New York University Abu Dhabi

Published
2022

8. Intentions to be Vaccinated Against COVID-19: The Role of Prosociality and Conspiracy Beliefs across 20 Countries

Author

Violeta Enea, Nikolett Eisenbeck, David F. Carreno, Karen M. Douglas, Robbie M. Sutton, Maximilian Agostini, Jocelyn J. Bélanger, Ben Gützkow, Jannis Kreienkamp, Georgios Abakoumkin, Jamilah Hanum Abdul Khaiyom, Vjollca Ahmedi, Handan Akkas, Carlos A. Almenara, Mohsin Atta, Sabahat Cigdem Bagci, Sima Basel, Edona Berisha Kida, Allan B. I. Bernardo, Nicholas R. Buttrick, Phatthanakit Chobthamkit, Hoon-Seok Choi, Mioara Cristea, Sára Csaba, Kaja Damnjanovic, Ivan Danyliuk, Arobindu Dash, Daniela Di Santo, Daiane Gracieli Faller, Gavan Fitzsimons, Alexandra Gheorghiu, Ángel Gómez, Joanna Grzymala-Moszczynska, Ali Hamaidia, Qing Han, Mai Helmy, Joevarian Hudiyana, Bertus F. Jeronimus, Ding-Yu Jiang, Veljko Jovanović, Željka Kamenov, Anna Kende, Shian-Ling Keng, Tra Thi Thanh Kieu, Yasin Koc, Kamila Kovyazina, Inna Kozytska, Joshua Krause, Arie W. Kruglanski, Anton Kurapov, Maja Kutlaca, Nóra Anna Lantos, Edward P. Lemay, Cokorda Bagus Jaya Lesmana, Winnifred R. Louis, Adrian Lueders, Najma Iqbal Malik, Anton Martinez, Kira O. McCabe, Jasmina Mehulić, Mirra Noor Milla, Idris Mohammed, Erica Molinario, Manuel Moyano, Hayat Muhammad, Silvana Mula, Hamdi Muluk, Solomiia Myroniuk, Reza Najafi, Claudia F. Nisa, Boglárka Nyúl, Paul A. O’Keefe, Jose Javier Olivas Osuna, Evgeny N. Osin, Joonha Park, Gennaro Pica, Antonio Pierro, Jonas Rees, Anne Margit Reitsema, Elena Resta, Marika Rullo, Michelle K. Ryan, Adil Samekin, Pekka Santtila, Edyta Sasin, Birga M. Schumpe, Heyla A. Selim, Michael Vicente Stanton, Samiah Sultana, Eleftheria Tseliou, Akira Utsugi, Jolien Anne van Breen, Caspar J. Van Lissa, Kees Van Veen, Michelle R. vanDellen, Alexandra Vázquez, Robin Wollast, Victoria Wai-Lan Yeung, Somayeh Zand, Iris Lav Žeželj, Bang Zheng, Andreas Zick, Claudia Zúñiga, N. Pontus Leander, Social Psychology, Developmental Psychology, Research programme OB, and Research programme GEM

Subjects
Health (social science), Communication, Vaccination, Health sciences, COVID-19, vaccination, intentions, vaccinaton, prosociality, conspiracy beliefs, Conspiracy beliefs, Sociology, Prosociality
Abstract

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. Understanding the determinants of COVID-19 vaccine uptake is important to inform policy decisions and plan vaccination campaigns. The aims of this research were to: (1) explore the individual- and country-level determinants of intentions to be vaccinated against SARS-CoV-2, and (2) examine worldwide variation in vaccination intentions. This cross-sectional online survey was conducted during the first wave of the pandemic, involving 6697 respondents across 20 countries. Results showed that 72.9% of participants reported positive intentions to be vaccinated against COVID-19, whereas 16.8% were undecided, and 10.3% reported they would not be vaccinated. At the individual level, prosociality was a significant positive predictor of vaccination intentions, whereas generic beliefs in conspiracy theories and religiosity were negative predictors. Country-level determinants, including cultural dimensions of individualism/collectivism and power distance, were not significant predictors of vaccination intentions. Altogether, this study identifies individual-level predictors that are common across multiple countries, provides further evidence on the importance of combating conspiracy theories, involving religious institutions in vaccination campaigns, and stimulating prosocial motives to encourage vaccine uptake.

Published
2022

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