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

Publication ,  Journal Article
Schumpe, BM; Van Lissa, CJ; Bélanger, JJ; Ruggeri, K; Mierau, J; Nisa, CF; Molinario, E; Gelfand, MJ; Stroebe, W; Agostini, M; Gützkow, B ...
Published in: Scientific reports
March 2022

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.

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Published In

Scientific reports

DOI

EISSN

2045-2322

ISSN

2045-2322

Publication Date

March 2022

Volume

12

Issue

1

Start / End Page

3824

Related Subject Headings

  • Surveys and Questionnaires
  • Social Norms
  • SARS-CoV-2
  • Public Health
  • Longitudinal Studies
  • Humans
  • Health Behavior
  • Guideline Adherence
  • COVID-19
  • Attitude
 

Citation

APA
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ICMJE
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Schumpe, B. M., Van Lissa, C. J., Bélanger, J. J., Ruggeri, K., Mierau, J., Nisa, C. F., … Leander, N. P. (2022). Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data. Scientific Reports, 12(1), 3824. https://doi.org/10.1038/s41598-021-04703-9
Schumpe, Birga M., Caspar J. Van Lissa, Jocelyn J. Bélanger, Kai Ruggeri, Jochen Mierau, Claudia F. Nisa, Erica Molinario, et al. “Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data.Scientific Reports 12, no. 1 (March 2022): 3824. https://doi.org/10.1038/s41598-021-04703-9.
Schumpe BM, Van Lissa CJ, Bélanger JJ, Ruggeri K, Mierau J, Nisa CF, et al. Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data. Scientific reports. 2022 Mar;12(1):3824.
Schumpe, Birga M., et al. “Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data.Scientific Reports, vol. 12, no. 1, Mar. 2022, p. 3824. Epmc, doi:10.1038/s41598-021-04703-9.
Schumpe BM, Van Lissa CJ, Bélanger JJ, Ruggeri K, Mierau J, Nisa CF, Molinario E, Gelfand MJ, Stroebe W, Agostini M, Gützkow B, Jeronimus BF, Kreienkamp J, Kutlaca M, Lemay EP, Reitsema AM, vanDellen MR, Abakoumkin G, Abdul Khaiyom JH, Ahmedi V, Akkas H, Almenara CA, Atta M, Bagci SC, Basel S, Berisha Kida E, Bernardo ABI, Buttrick NR, Chobthamkit P, Choi H-S, Cristea M, Csaba S, Damnjanović K, Danyliuk I, Dash A, Di Santo D, Douglas KM, Enea V, Faller D, Fitzsimons GJ, Gheorghiu A, Gómez Á, Hamaidia A, Han Q, Helmy M, Hudiyana J, Jiang D-Y, Jovanović V, Kamenov Z, Kende A, Keng S-L, Kieu TTT, Koc Y, Kovyazina K, Kozytska I, Krause J, Kruglanski AW, Kurapov A, Lantos NA, Lesmana CBJ, Louis WR, Lueders A, Malik NI, Martinez AP, McCabe KO, Mehulić J, Milla MN, Mohammed I, Moyano M, Muhammad H, Mula S, Muluk H, Myroniuk S, Najafi R, Nyúl B, O’Keefe PA, Olivas Osuna JJ, Osin EN, Park J, Pica G, Pierro A, Rees JH, Resta E, Rullo M, Ryan MK, Samekin A, Santtila P, Sasin E, Selim HA, Stanton MV, Sultana S, Sutton RM, Tseliou E, Utsugi A, van Breen JA, Van Veen K, Vázquez A, Wollast R, Yeung VW-L, Zand S, Žeželj IL, Zheng B, Zick A, Zúñiga C, Leander NP. Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data. Scientific reports. 2022 Mar;12(1):3824.

Published In

Scientific reports

DOI

EISSN

2045-2322

ISSN

2045-2322

Publication Date

March 2022

Volume

12

Issue

1

Start / End Page

3824

Related Subject Headings

  • Surveys and Questionnaires
  • Social Norms
  • SARS-CoV-2
  • Public Health
  • Longitudinal Studies
  • Humans
  • Health Behavior
  • Guideline Adherence
  • COVID-19
  • Attitude