Mapping the sociodemographic distribution and self-reported justifications for non-compliance with COVID-19 guidelines in the United Kingdom.

COVID-19 behaviour compliance natural language processing topic modelling

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2023
Historique:
received: 10 03 2023
accepted: 28 06 2023
medline: 4 8 2023
pubmed: 4 8 2023
entrez: 4 8 2023
Statut: epublish

Résumé

Which population factors have predisposed people to disregard government safety guidelines during the COVID-19 pandemic and what justifications do they give for this non-compliance? To address these questions, we analyse fixed-choice and free-text responses to survey questions about compliance and government handling of the pandemic, collected from tens of thousands of members of the UK public at three 6-monthly timepoints. We report that sceptical opinions about the government and mainstream-media narrative, especially as pertaining to justification for guidelines, significantly predict non-compliance. However, free text topic modelling shows that such opinions are diverse, spanning from scepticism about government competence and self-interest to full-blown conspiracy theories, and covary in prevalence with sociodemographic variables. These results indicate that attempts to counter non-compliance through argument should account for this diversity in peoples' underlying opinions, and inform conversations aimed at bridging the gap between the general public and bodies of authority accordingly.

Identifiants

pubmed: 37539003
doi: 10.3389/fpsyg.2023.1183789
pmc: PMC10395087
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1183789

Informations de copyright

Copyright © 2023 Bălăeț, Kurtin, Gruia, Lerede, Custovic, Trender, Jolly, Hellyer and Hampshire.

Déclaration de conflit d'intérêts

AH is owner and director of Future Cognition LTD and H2 Cognitive Designs LTD, which support online studies and develop custom cognitive assessment software, respectively. PH is owner and director of H2 Cognitive Designs LTD and reports personal fees from H2 Cognitive Designs LTD outside the submitted work. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

J Epidemiol Community Health. 2022 Feb;76(2):109-115
pubmed: 34244309
Pers Individ Dif. 2020 Nov 1;166:110199
pubmed: 32565591
Int J Environ Res Public Health. 2020 Oct 26;17(21):
pubmed: 33114542
J Epidemiol Community Health. 2022 Mar;76(3):247-253
pubmed: 34521650
BJPsych Open. 2021 Feb 09;7(2):e47
pubmed: 33557964
Int J Inf Manage. 2020 Dec;55:102180
pubmed: 32836637
EClinicalMedicine. 2021 Sep;39:101044
pubmed: 34316551
Comput Human Behav. 2022 Mar;128:107087
pubmed: 34744298
Glob Transit. 2020;2:76-82
pubmed: 32835202
Front Psychiatry. 2023 Jun 15;14:1184681
pubmed: 37398594
Interface Focus. 2021 Oct 12;11(6):20210051
pubmed: 34956602
Psychol Med. 2022 Jan;52(2):251-263
pubmed: 32436485
Annu Rev Psychol. 2012;63:539-69
pubmed: 21838546
Appl Res Qual Life. 2022;17(2):559-578
pubmed: 33564341
Lancet Digit Health. 2021 Mar;3(3):e175-e194
pubmed: 33518503
Psychol Med. 2021 Jul;51(10):1763-1769
pubmed: 32513320
Front Psychol. 2013 May 21;4:279
pubmed: 23734136
Curr Dir Psychol Sci. 2017 Dec;26(6):538-542
pubmed: 29276345
Nat Hum Behav. 2021 Apr;5(4):529-538
pubmed: 33686204
J Public Econ. 2020 Dec;192:104316
pubmed: 33162621
Psychol Med. 2023 Jan;53(1):149-159
pubmed: 33769242
Front Artif Intell. 2020 Jul 14;3:42
pubmed: 33733159
Psychol Med. 2022 Mar;52(4):791-793
pubmed: 32684197
Nat Commun. 2021 Jul 16;12(1):4111
pubmed: 34272365
PLoS One. 2021 Feb 16;16(2):e0239247
pubmed: 33591985
Sci Rep. 2020 Oct 6;10(1):16598
pubmed: 33024152
Mod Healthc (Short Term Care). 1975 Dec;4(6):33-6
pubmed: 600
J Loss Trauma. 2011;16(4):358-385
pubmed: 24077677
Nat Commun. 2021 Jan 4;12(1):29
pubmed: 33397962
Sci Rep. 2021 Sep 24;11(1):19009
pubmed: 34561514
Pers Individ Dif. 2020 Nov 1;166:110201
pubmed: 32565592
Lancet Reg Health Eur. 2021 Feb;1:100016
pubmed: 34173622

Auteurs

Maria Bălăeț (M)

Department of Brain Sciences, Imperial College London, London, United Kingdom.

Danielle L Kurtin (DL)

Neuromodulation Lab, Department of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.

Dragos C Gruia (DC)

Department of Brain Sciences, Imperial College London, London, United Kingdom.

Annalaura Lerede (A)

Department of Brain Sciences, Imperial College London, London, United Kingdom.
UKRI Centre for Doctoral Training in AI for Healthcare, Department of Computing, Imperial College London, London, United Kingdom.

Darije Custovic (D)

Department of Brain Sciences, Imperial College London, London, United Kingdom.
UK Dementia Research Institute: Care Research & Technology, London, United Kingdom.

William Trender (W)

Department of Brain Sciences, Imperial College London, London, United Kingdom.
Engineering and Physical Sciences Research Council CDT Neurotechnology, Imperial College London, London, United Kingdom.

Amy E Jolly (AE)

NMR Unit, Queen Square Multiple Sclerosis Centre, UCL, Queen Square Institute of Neurology, Department of Neuroinflammation, Faculty of Brain Sciences, University College London, London, United Kingdom.

Peter J Hellyer (PJ)

Department of Brain Sciences, Imperial College London, London, United Kingdom.
Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Adam Hampshire (A)

Department of Brain Sciences, Imperial College London, London, United Kingdom.

Classifications MeSH