Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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in: Scientific Reports, Jahrgang 12, Nr. 1, 3824, 01.12.2022.
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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TY - JOUR
T1 - Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data
AU - Schumpe, Birga M.
AU - Van Lissa, Caspar J.
AU - Bélanger, Jocelyn J.
AU - Ruggeri, Kai
AU - Mierau, Jochen
AU - Nisa, Claudia F.
AU - Molinario, Erica
AU - Gelfand, Michele J.
AU - Stroebe, Wolfgang
AU - Agostini, Maximilian
AU - Gützkow, Ben
AU - Jeronimus, Bertus F.
AU - Kreienkamp, Jannis
AU - Kutlaca, Maja
AU - Lemay, Edward P.
AU - Reitsema, Anne Margit
AU - vanDellen, Michelle R.
AU - Abakoumkin, Georgios
AU - Abdul Khaiyom, Jamilah Hanum
AU - Ahmedi, Vjollca
AU - Akkas, Handan
AU - Almenara, Carlos A.
AU - Atta, Mohsin
AU - Bagci, Sabahat Cigdem
AU - Basel, Sima
AU - Berisha Kida, Edona
AU - Bernardo, Allan B.I.
AU - Buttrick, Nicholas R.
AU - Chobthamkit, Phatthanakit
AU - Choi, Hoon Seok
AU - Cristea, Mioara
AU - Csaba, Sara
AU - Damnjanović, Kaja
AU - Danyliuk, Ivan
AU - Dash, Arobindu
AU - Di Santo, Daniela
AU - Douglas, Karen M.
AU - Enea, Violeta
AU - Faller, Daiane
AU - Fitzsimons, Gavan J.
AU - Gheorghiu, Alexandra
AU - Gómez, Ángel
AU - Hamaidia, Ali
AU - Han, Qing
AU - Helmy, Mai
AU - Hudiyana, Joevarian
AU - Jiang, Ding Yu
AU - Jovanović, Veljko
AU - Kamenov, Zeljka
AU - Kende, Anna
AU - Keng, Shian Ling
AU - Kieu, Tra Thi Thanh
AU - Koc, Yasin
AU - Kovyazina, Kamila
AU - Kozytska, Inna
AU - Krause, Joshua
AU - Kruglanski, Arie W.
AU - Kurapov, Anton
AU - Lantos, Nóra Anna
AU - Lesmana, Cokorda Bagus J.
AU - Louis, Winnifred R.
AU - Lueders, Adrian
AU - Malik, Najma Iqbal
AU - Martinez, Anton P.
AU - McCabe, Kira O.
AU - Mehulić, Jasmina
AU - Milla, Mirra Noor
AU - Mohammed, Idris
AU - Moyano, Manuel
AU - Muhammad, Hayat
AU - Mula, Silvana
AU - Muluk, Hamdi
AU - Myroniuk, Solomiia
AU - Najafi, Reza
AU - Nyúl, Boglárka
AU - O'Keefe, Paul A.
AU - Olivas Osuna, Jose Javier
AU - Osin, Evgeny N.
AU - Park, Joonha
AU - Pica, Gennaro
AU - Pierro, Antonio
AU - Rees, Jonas H.
AU - Resta, Elena
AU - Rullo, Marika
AU - Ryan, Michelle K.
AU - Samekin, Adil
AU - Santtila, Pekka
AU - Sasin, Edyta
AU - Selim, Heyla A.
AU - Stanton, Michael Vicente
AU - Sultana, Samiah
AU - Sutton, Robbie M.
AU - Tseliou, Eleftheria
AU - Utsugi, Akira
AU - van Breen, Jolien A.
AU - Van Veen, Kees
AU - Vázquez, Alexandra
AU - Wollast, Robin
AU - Yeung, Victoria Wai Lan
AU - Zand, Somayeh
AU - Žeželj, Iris Lav
AU - Zheng, Bang
AU - Zick, Andreas
AU - Zúñiga, Claudia
AU - Leander, N. Pontus
N1 - © 2022. The Author(s).
PY - 2022/12/1
Y1 - 2022/12/1
N2 - 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.
AB - 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.
KW - Health sciences
KW - Attitude
KW - COVID-19/prevention & control
KW - Guideline Adherence
KW - Health Behavior
KW - Humans
KW - Longitudinal Studies
KW - Public Health
KW - SARS-CoV-2
KW - Social Norms
KW - Surveys and Questionnaires
UR - http://www.scopus.com/inward/record.url?scp=85126077662&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/14d8f611-0499-3719-9907-fa5363edee7b/
U2 - 10.1038/s41598-021-04703-9
DO - 10.1038/s41598-021-04703-9
M3 - Journal articles
C2 - 35264597
AN - SCOPUS:85126077662
VL - 12
JO - Scientific Reports
JF - Scientific Reports
SN - 2045-2322
IS - 1
M1 - 3824
ER -