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

Schumpe BM 1 , Van Lissa CJ 2 , Bélanger JJ 3 , Ruggeri K 4 , Mierau J 5 , Nisa CF 3 Show all authors , Molinario E 6 , Gelfand MJ 7 , Stroebe W 5 , Agostini M 5 , Gützkow B 5 , Jeronimus BF 5 , Kreienkamp J 5 , Kutlaca M 8 , Lemay EP 9 , Reitsema AM 5 , vanDellen MR 10 , Abakoumkin G 11 , Abdul Khaiyom JH 12 , Ahmedi V 13 , Akkas H 14 , Almenara CA 15 , Atta M 16 , Bagci SC 17 , Basel S 3 , Berisha Kida E 13 , Bernardo ABI 18 , Buttrick NR 19 , Chobthamkit P 20 , Choi HS 21 , Cristea M 22 , Csaba S 23 , Damnjanović K 24 , Danyliuk I 25 , Dash A 26 , Di Santo D 27 , Douglas KM 28 , Enea V 29 , Faller D 30 , Fitzsimons GJ 31 , Gheorghiu A 29 , Gómez Á 32 , Hamaidia A 33 , Han Q 34 , Helmy M 35 , Hudiyana J 36 , Jiang DY 37 , Jovanović V 38 , Kamenov Z 39 , Kende A 23 , Keng SL 40 , Kieu TTT 41 , Koc Y 5 , Kovyazina K 42 , Kozytska I 25 , Krause J 43 , Kruglanski AW 9 , Kurapov A 25 , Lantos NA 23 , Lesmana CBJ 44 , Louis WR 45 , Lueders A 46 , Malik NI 16 , Martinez AP 47 , McCabe KO 48 , Mehulić J 39 , Milla MN 36 , Mohammed I 49 , Moyano M 50 , Muhammad H 51 , Mula S 27 , Muluk H 36 , Myroniuk S 5 , Najafi R 52 , Nyúl B 23 , O'Keefe PA 53 , Olivas Osuna JJ 54 , Osin EN 55 , Park J 56 , Pica G 57 , Pierro A 27 , Rees JH 58 , Resta E 27 , Rullo M 59 , Ryan MK 60 , Samekin A 61 , Santtila P 62 , Sasin E 3 , Selim HA 63 , Stanton MV 64 , Sultana S 5 , Sutton RM 28 , Tseliou E 11 , Utsugi A 65 , van Breen JA 66 , Van Veen K 5 , Vázquez A 32 , Wollast R 67 , Yeung VW 68 , Zand S 69 , Žeželj IL 24 , Zheng B 70 , Zick A 71 , Zúñiga C 72 , Leander NP 73

Affiliations 

  • 1 University of Amsterdam, Amsterdam, The Netherlands. b.m.schumpe@uva.nl
  • 2 Utrecht University, Utrecht, Netherlands
  • 3 New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
  • 4 Columbia University, New York, USA
  • 5 University of Groningen, Groningen, Netherlands
  • 6 Florida Gulf Coast University, Fort Myers, USA
  • 7 Stanford University, Palo Alto, USA
  • 8 Durham University, Durham, UK
  • 9 University of Maryland, College Park, USA
  • 10 University of Georgia, Athens, USA
  • 11 University of Thessaly, Volos, Greece
  • 12 International Islamic University Malaysia, Kuala Lumpur, Malaysia
  • 13 Pristine University, Pristine, Kosovo
  • 14 Ankara Science University, Ankara, Turkey
  • 15 Universidad Peruana de Ciencias Aplicadas, Lima, Peru
  • 16 University of Sargodha, Sargodha, Pakistan
  • 17 Sabanci University, Istanbul, Turkey
  • 18 De La Salle University, Manila, Philippines
  • 19 University of Virginia, Charlottesville, USA
  • 20 Thammasat University, Pathumthani, Thailand
  • 21 Sungkyunkwan University, Seoul, Korea
  • 22 Heriot Watt University, Edinburgh, UK
  • 23 ELTE Eötvös Loránd University, Budapest, Hungary
  • 24 University of Belgrade, Belgarde, Serbia
  • 25 Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
  • 26 Leuphana University of Lüneburg, Lüneburg, Germany
  • 27 University "La Sapienza", Rome, Italy
  • 28 University of Kent, Canterbury, UK
  • 29 Alexandru Ioan Cuza University, Iași, Romania
  • 30 National University of Singapore, Singapore, Singapore
  • 31 Duke University, Durham, USA
  • 32 Universidad Nacional de Educación a Distancia, Madrid, Spain
  • 33 Setif 2 University, Setif, Algeria
  • 34 University of Bristol, Bristol, UK
  • 35 Sultan Qaboos University, Muscat, Oman
  • 36 Universitas Indonesia, Depok, Indonesia
  • 37 National Chung-Cheng University, Minxiong, Taiwan
  • 38 University of Novi Sad, Novi Sad, Serbia
  • 39 University of Zagreb, Zagreb, Croatia
  • 40 Monash University Malaysia, Subang Jaya, Malaysia
  • 41 HCMC University of Education, Ho Chi Minh City, Vietnam
  • 42 , Nur-Sultan, Kazakhstan
  • 43 University of Groningen, Kazakhstan, Netherlands
  • 44 Udayana University, Denpasar, Indonesia
  • 45 University of Queensland, Brisbane, Australia
  • 46 University of Limerick, Limerick, Ireland
  • 47 University of Sheffield, Sheffield, UK
  • 48 Carleton University, Ottawa, Canada
  • 49 Usmanu Danfodiyo University Sokoto, Sokoto, Nigeria
  • 50 University of Cordoba, Cordoba, Spain
  • 51 University of Peshawar, Peshawar, Pakistan
  • 52 University of Padova, Padova, Italy
  • 53 Yale-NUS College, Singapore, Singapore
  • 54 National Distance Education University (UNED), Madrid, Spain
  • 55 HSE University, Moscow, Russia
  • 56 NUCB Business School, Nagoya, Japan
  • 57 University of Camerino, Camerino, MC, Italy
  • 58 University of Bielefeld, Bielefeld, Germany
  • 59 University of Siena, Siena, Italy
  • 60 University of Exeter, Exeter, UK
  • 61 M. Narikbayev KAZGUU University, Nur-Sultan, Kazakhstan
  • 62 New York University Shanghai, Shanghai, China
  • 63 King Saud University, Riyadh, Saudi Arabia
  • 64 California State University, East Bay, USA
  • 65 Nagoya University, Nagoya, Japan
  • 66 Leiden University, Leiden, Netherlands
  • 67 Université Clermont-Auvergne, Clermont-Ferrand, France
  • 68 Lingnan University, Tuen Mun, Hong Kong
  • 69 University of Milano-Bicocca, Milan, Italy
  • 70 Imperial College London, London, UK
  • 71 Bielefeld University, Bielefeld, Germany
  • 72 Universidad de Chile, Santiago, Chile
  • 73 Wayne State University, Detroit, USA
Sci Rep, 2022 Mar 09;12(1):3824.
PMID: 35264597 DOI: 10.1038/s41598-021-04703-9

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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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