Resultados de Búsqueda por Autor

1

artículo

Lives versus Livelihoods? Perceived economic risk has a stronger association with support for COVID-19 preventive measures than perceived health risk

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

Publicado 2021

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This paper examines whether compliance with COVID-19 mitigation measures is motivated by wanting to save lives or save the economy (or both), and which implications this carries to fight the pandemic. National representative samples were collected from 24 countries (N = 25,435). The main predictors were (1) perceived risk to contract coronavirus, (2) perceived risk to suffer economic losses due to coronavirus, and (3) their interaction effect. Individual and country-level variables were added as covariates in multilevel regression models. We examined compliance with various preventive health behaviors and support for strict containment policies. Results show that perceived economic risk consistently predicted mitigation behavior and policy support—and its effects were positive. Perceived health risk had mixed effects. Only two significant interactions between health and economic risk w...

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artículo

COVID-19 stressors and health behaviors: A multilevel longitudinal study across 86 countries

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

Publicado 2022

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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 betwee...

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artículo

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

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

Publicado 2022

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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 ...