Cited by 575COVID-19 Prevention and ImpactCOVID-19 epidemiological studiesCommunication and COVID-19 Impact

Non-compliance with COVID-19-related public health measures among young adults in Switzerland: Insights from a longitudinal cohort study

Open access
Nivette, Amy, Ribeaud, Denis, Murray, Aja, Steinhoff, Annekatrin, Bechtiger, Laura, Hepp, Urs, Shanahan, Lilly, Eisner, Manuel·2021·Social Science & Medicine

Abstract

RATIONALE: Adolescents and young adults were identified internationally as a group with potentially low compliance rates with public health measures aimed at curbing the spread of coronavirus disease 2019 (COVID-19). Although non-compliance research during pandemics has typically focused on concurrent correlates, less is known about how prior social and psychological risk factors are associated with non-compliance during pandemics. OBJECTIVE: This paper leverages a prospective-longitudinal cohort study with data before and during the pandemic to describe patterns of non-compliance with COVID- 19 related public health measures in young adults and to identify which characteristics increase the risk of non-compliance. METHODS: Data came from an ongoing cohort study in Zurich, Switzerland (n=737). Non-compliance with public health measures and concurrent correlates were measured at age 22. Antecedent sociodemographic, social, and psychological factors were measured at ages 15-20. Young adults generally complied with COVID-19 public health measures, although non-compliance with some measures (e.g., cleaning/disinfecting mobile phones, standing 1.5-2 meters apart) was relatively higher. RESULTS: Non-compliance, especially with hygiene-related measures, was more prevalent in males, and in individuals with higher education, higher SES, and a nonmigrant background. Non-compliance was higher in young adults who had previously scored high on indicators of "antisocial potential," including low acceptance of moral rules, pre-pandemic legal cynicism, low shame/guilt, low self-control, engagement in delinquent behaviors, and association with delinquent peers. Young adults with low trust, including in the government's measures for fighting the virus, also complied less. CONCLUSIONS: In order to increase voluntary compliance with COVID-19 measures, public health campaigns should implement strategies that foster moral obligation and trust in authorities, or leverage trustworthy individuals in the community to disseminate information. For young adults with low self-control, self-monitoring, environmental restructuring, or nudging may increase compliance. Long-term investments into integrating youth with antisocial potential into society may decrease rule-breaking behaviors, including during pandemics when compliance saves lives.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.socscimed.2020.113370

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • There is a dearth of evidence exploring environmental restructuring in the context of social distancing, which raises an important gap in the pandemic behaviour change literature.

    “Despite the speculated benefits of environmental restructuring, there is a dearth of evidence exploring this intervention function in the context of social distancing [35, 36] which raises an important gap in the pandemic behaviour change literature.”

    From Facilitators and barriers to social distancing for young people during the COVID-19 pandemic (2022) · cites this paper as [36]

    The Discussion mentions environmental restructuring as a possible way to manage low self-control, but it does not assess evidence for that intervention in social distancing. Searches for environmental restructuring and a lack of intervention evidence found no passage identifying the claimed research gap; page numbers were unavailable in our copy. (LLM, conf=0.72)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 32

  1. Andrews J.L. Foulkes L. Blakemore S.J. Peer influence in adolescence: public-health implications for COVID-19 Trends Cognit. Sci. 24 2020 585 587 32444200 PMC7205648
  2. Azur M.J. Stuart E.A. Frangakis C. Leaf P.J. Multiple imputations by chained equations: what is it and how does it work? Int J Meth Psych 20 2011 40 49 PMC3074241 21499542
  3. Barari S. Caria S. Davola A. Falco P. Fetzer T. Fiorin S. Evaluating COVID-19 Public Health Messaging in Italy: Self-Reported Compliance and Growing Mental Health Concerns 2020 MedRxiv https://www.medrxiv.org/content/10.1101/2020.03.27.20042820v2 · DOI
  4. Baum N.M. Jacobson P.D. Goold S.D. “Listen to the people”: public deliberation about social distancing measures in a pandemic Am. J. Bioeth. 9 2009 4 14 19882444
  5. Bish A. Michie S. Demographic and attitudinal determinants of protective behaviours during a pandemic: a review Br. J. Health Psychol. 15 2010 797 824 20109274 PMC7185452
  6. Bodas M. Peleg K. Self-isolation compliance in the COVID-19 era influenced by compensation: findings from a recent survey in Israel Health Aff. 39 2020 1 4 32271627
  7. Bults M. Beaujean J.M.A. Richardus J.H. Voeten H.A. Perceptions and behavioral responses of the general public during the 2009 Influenza A (H1N1) pandemic: a systematic review Disaster Med Public 9 2015 207 219 25882127
  8. Centers for Disease Control COVID-19 Response Team Severe outcomes among patients with coronavirus disease 2019 (COVID-19) – United States, February 12-March 16, 2020 MMWR Morb. Mortal. Wkly. Rep. 69 2020 https://www.cdc.gov/mmwr/volumes/69/wr/mm6912e2.htm PMC7725513 32214079
  9. Cheng K.K. Lam T.H. Leung C.C. Wearing face masks in the community during COVID-19 pandemic: altruism and solidarity Lancet 2020 10.1016/S0140-6736(20)30918-1 PMC7162638 32305074 · DOI
  10. Clark C. Davila A. Regis M. Kraus S. Predictors of COVID-19 voluntary compliance behaviors: an international investigation Global Transitions 2 2020 76 82 32835202 PMC7318969
  11. Coetzee B.J. Kagee A. Structural barriers to adhering to health behaviors in the context of the COVID-19 crisis: considerations for low- and middle-income countries Global Publ. Health 15 2020 1093 1102 32524893
  12. Eisner M. Malti T. Ribeaud D. Large-scale criminological field experiments: the Zurich project on the social development of children Gadd D. Karstedt D. Messner S. The SAGE Handbook of Criminological Research Methods 2011 Sage London 410 424
  13. Farrington D.P. The integrated cognitive antisocial potential (ICAP) theory: past, present, and future J Dev Life Course Criminol 6 2019 172 187 10.1007/s40865-019-00112-9 · DOI
  14. Gordon S.H. Huberfeld N. Jones D.K. What Federalism Means for the US Reponse to Coronavirus Disease 2019 2020 JAMA Health Forum https://jamanetwork.com/channels/health-forum/fullarticle/2766033 36218490
  15. Hagger M.S. Gucciardi D.F. Turrell A.S. Hamilton K. Self-control and health-related behavior: the role of implicit self-control, trait self-control, and lay beliefs in self-control Br. J. Health Psychol. 24 2019 764 786 31392774
  16. Harkin B. Webb T.L. Chang B.P.I. Prestwich A. Conner M. Kellar I. Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence Psychol. Bull. 142 2016 198 229 26479070
  17. Kampf G. Todt D. Pfaender S. Steinmann E. Persistence of coronaviruses on inanimate surfaces and their inactivation with biocidal agents J. Hosp. Infect. 104 2020 246 251 32035997 PMC7132493
  18. Kuiper M.E. de Bruijn A.L. Folmer C.R. Olthuis E. Brownlee M. Kooistra E.B. Fine A. van Rooij B. The Intelligent Lockdown: Compliance with COVID-19 Mitigation Measures in the Netherlands 2020 Amsterdam Law School Research Paper No. 2020-20 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3598215
  19. Lammers J. Crusius J. Gast A. Correcting misconceptions of exponential coronavirus growth increases support for social distancing Proc. Natl. Acad. Sci. Unit. States Am. 117 2020 16264 16266 PMC7368332 32581118
  20. Markides K.S. Rote S. Immigrant health paradox Scott R. Kosslyn S. Emerging Trends in the Social and Behavioral Sciences 2015 John Wiley & Sons
  21. Moffitt T.E. Arseneault L. Belsky D. Dickson N. Hancox R.J. Harrington H. A gradient of childhood self-control predicts health, wealth, and public safety Proc. Natl. Acad. Sci. Unit. States Am. 108 2011 2693 2698 PMC3041102 21262822
  22. Oosterhoff B. Palmer C.A. Wilson J. Shook N. Adolescents' motivations to engage in social distancing during the COVID-19 pandemic: associations with mental and social health J. Adolesc. Health 67 2020 179 185 32487491 PMC7205689
  23. Prati G. Pietrantoni L. Zani B. Compliance with recommendations for pandemic influenza H1N1 2009: the role of trust and personal beliefs Health Educ. Res. 26 2011 761 769 21613380
  24. Prati G. Pietrantoni L. Zani B. A social-cognitive model of pandemic influenza H1N1 risk perception and recommended behaviors in Italy Risk Anal. 31 2011 645 656 21077927
  25. Salathé M. Althaus C.L. Neher R. Stringhini S. Hodcroft E. Fallay J. COVID-19 epidemic in Switzerland: on the importance of testing, contract tracing and isolation Swiss Med. Wkly. 150 2020 w202205 32191813
  26. Setbon M. Le Pape M.-C. Létroublon C. Caille-Brillet A.-L. Raude J. The public's preventive strategies in response to the pandemic influenza A/H1N1 in France: distribution and determinants Prev. Med. 52 2011 178 181 21108960
  27. Shao W. Hao F. Confidence in political leaders can slant risk perceptions of COVID-19 in a highly polarized environment Soc. Sci. Med. 261 2020 113235 32730961 PMC7377700
  28. Templeton A. Guven S.T. Hoerst C. Vestergren S. Davidson L. Ballentyne S. Madsen H. Choudhury S. Inequalities and identity processes in crises: recommendations for facilitating safe response to the COVID-19 pandemic Br. J. Soc. Psychol. 59 2020 674 685 32583423 PMC7383992
  29. Van der Weerd W. Timmermans D.R.M. Beaujean D.J.M.A. Oudhoff J. van Steenbergen J.E. Monitoring the level of government trust, risk perception and intention of the general public to adopt protective measures during the influenza A (H1N1) pandemic in The Netherlands BMC Publ. Health 11 2011 575 PMC3152536 21771296
  30. Wrzus C. Hänel M. Wagner J. Neyer F. Social network changes and life events across the life span: a meta-analysis Psychol. Bull. 139 2013 53 80 22642230
  31. Zajenowski M. Jonason P.K. Leniarska M. Kozakiewicz Z. Who complies with the restrictions to reduce the spread of COVID-19?: personality and perceptions of the COVID-19 situation Pers. Indiv. Differ. 166 2020 110199 PMC7296320 32565591
  32. Zettler I. Schild C. Lillehold L. Böhm R. Individual Differences in Accepting Personal Restrictions to Fight the COVID-19 Pandemic: Results from a Danish Sample 2020 PsyArXiv https://psyarxiv.com/pkm2a/

Cited by

Sorted by citations

Authors
Nivette, A., Ribeaud, D., Murray, A., Steinhoff, A., Bechtiger, L., Hepp, U., Shanahan, L., & Eisner, M.
Affiliations
  • Utrecht University (NL)
  • University of Zurich (CH)
  • University of Edinburgh (GB)
  • Integrierte Psychiatrie Winterthur (CH)
Corresponding author
Nivette, Amy
Venue
Social Science & Medicine
Publisher
Elsevier BV
Published
2021-01
Volume
268
Pages
113370
ISSN
0277-9536 (ISSN-L)
OpenAlex
W3086421641
Cited by
575
References
6
Citations by year
2026: 17 · 2025: 30 · 2024: 74 · 2023: 94 · 2022: 177 · 2021: 168 · 2020: 15
FWCI
151.83
Type
journal article
Language
en
Open access
Locations
  • Social Science & Medicine (publishedVersion, cc-by)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, cc-by-nc-nd)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
  • Apollo (University of Cambridge) (submittedVersion, cc-by)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion, cc-by-nc-nd)
  • Apollo (cc-by)
  • Zurich Open Repository and Archive (University of Zurich)
Funders
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Topics
  • Social Sciences › Sociology and Political Science › COVID-19 Prevention and Impact
  • Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
  • Social Sciences › Communication › Communication and COVID-19 Impact
Keywords
COVID-19 pandemic, public health compliance, non-compliance, young adults, self-control, delinquency, public trust in government, moral norms, legal cynicism, guilt and shame, hygiene practices, social risk factors, nudging
MeSH terms
COVID-19, Adolescent, Female, Humans, Longitudinal Studies, Male, Prospective Studies, Public Health, Switzerland, Guidelines as Topic, Guideline Adherence, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review