دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data.
المؤلفون: Schumpe, Birga M, Van Lissa, Caspar J, Bélanger, Jocelyn J, Ruggeri, Kai, Mierau, Jochen, Nisa, Claudia F, Molinario, Erica, Gelfand, Michele J, Stroebe, Wolfgang, Agostini, Maximilian, Gützkow, Ben, Jeronimus, Bertus F, Kreienkamp, Jannis, Kutlaca, Maja, Lemay, Edward P, Reitsema, Anne Margit, vanDellen, Michelle R, Abakoumkin, Georgios, Abdul Khaiyom, Jamilah Hanum, Ahmedi, Vjollca, Akkas, Handan, Almenara, Carlos A, Atta, Mohsin, Bagci, Sabahat Cigdem, Basel, Sima, Berisha Kida, Edona, Bernardo, Allan BI, Buttrick, Nicholas R, Chobthamkit, Phatthanakit, Choi, Hoon-Seok, Cristea, Mioara, Csaba, Sara, Damnjanović, Kaja, Danyliuk, Ivan, Dash, Arobindu, Di Santo, Daniela, Douglas, Karen M, Enea, Violeta, Faller, Daiane, Fitzsimons, Gavan J, Gheorghiu, Alexandra, Gómez, Ángel, Hamaidia, Ali, Han, Qing, Helmy, Mai, Hudiyana, Joevarian, Jiang, Ding-Yu, Jovanović, Veljko, Kamenov, Zeljka, Kende, Anna, Keng, Shian-Ling, Kieu, Tra Thi Thanh, Koc, Yasin, Kovyazina, Kamila, Kozytska, Inna, Krause, Joshua, Kruglanski, Arie W, Kurapov, Anton, Lantos, Nóra Anna, Lesmana, Cokorda Bagus J, Louis, Winnifred R, Lueders, Adrian, Malik, Najma Iqbal, Martinez, Anton P, McCabe, Kira O, Mehulić, Jasmina, Milla, Mirra Noor, Mohammed, Idris, Moyano, Manuel, Muhammad, Hayat, Mula, Silvana, Muluk, Hamdi, Myroniuk, Solomiia, Najafi, Reza, Nyúl, Boglárka, O'Keefe, Paul A, Olivas Osuna, Jose Javier, Osin, Evgeny N, Park, Joonha, Pica, Gennaro, Pierro, Antonio, Rees, Jonas H, Resta, Elena, Rullo, Marika, Ryan, Michelle K, Samekin, Adil, Santtila, Pekka, Sasin, Edyta, Selim, Heyla A, Stanton, Michael Vicente, Sultana, Samiah, Sutton, Robbie M, Tseliou, Eleftheria, Utsugi, Akira, van Breen, Jolien A, Van Veen, Kees, Vázquez, Alexandra, Wollast, Robin, Yeung, Victoria Wai-Lan, Zand, Somayeh, Žeželj, Iris Lav, Zheng, Bang, Zick, Andreas, Zúñiga, Claudia, Leander, N Pontus
بيانات النشر: Springer Science and Business Media LLC
Centre For Business Research
//dx.doi.org/10.1038/s41598-021-04703-9
Sci Rep
سنة النشر: 2022
المجموعة: Apollo - University of Cambridge Repository
مصطلحات موضوعية: Attitude, COVID-19, Guideline Adherence, Health Behavior, Humans, Longitudinal Studies, Public Health, SARS-CoV-2, Social Norms, Surveys and Questionnaires
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
وصف الملف: Electronic; application/pdf
اللغة: English
العلاقة: https://www.repository.cam.ac.uk/handle/1810/335635Test
DOI: 10.17863/CAM.83066
الإتاحة: https://doi.org/10.17863/CAM.83066Test
https://www.repository.cam.ac.uk/handle/1810/335635Test
حقوق: Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.F48DE875
قاعدة البيانات: BASE