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). This research received support from the New York University Abu Dhabi (VCDSF/75-71015), the University of Groningen (Sustainable Society & Ubbo Emmius Fund), and the Instituto de Salud Carlos III (COV20/00086), co-funded by the European Regional Development Fund (ERDF) “A way to make Europe.”

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 -