The Interplay Between Strictness of Policies and Individuals' Self-Regulatory Efforts: Associations with Handwashing During the COVID-19 Pandemic.

Adult COVID-19 / prevention & control Hand Disinfection Humans Pandemics / prevention & control Policy SARS-CoV-2
COVID-19 Cross-country HAPA Pandemic Policies

Journal

Annals of behavioral medicine : a publication of the Society of Behavioral Medicine
ISSN: 1532-4796
Titre abrégé: Ann Behav Med
Pays: England
ID NLM: 8510246

Informations de publication

Date de publication:
02 04 2022
Historique:
pubmed: 7 12 2021
medline: 6 4 2022
entrez: 6 12 2021
Statut: ppublish

Résumé

Patterns of protective health behaviors, such as handwashing and sanitizing during the COVID-19 pandemic, may be predicted by macro-level variables, such as regulations specified by public health policies. Health behavior patterns may also be predicted by micro-level variables, such as self-regulatory cognitions specified by health behavior models, including the Health Action Process Approach (HAPA). This study explored whether strictness of containment and health policies was related to handwashing adherence and whether such associations were mediated by HAPA-specified self-regulatory cognitions. The study (NCT04367337) was conducted among 1,256 adults from Australia, Canada, China, France, Gambia, Germany, Israel, Italy, Malaysia, Poland, Portugal, Romania, Singapore, and Switzerland. Self-report data on cross-situational handwashing adherence were collected using an online survey at two time points, 4 weeks apart. Values of the index of strictness of containment and health policies, obtained from the Oxford COVID-19 Government Response Tracker database, were retrieved twice for each country (1 week prior to individual data collection). Across countries and time, levels of handwashing adherence and strictness of policies were high. Path analysis indicated that stricter containment and health policies were indirectly related to lower handwashing adherence via lower self-efficacy and self-monitoring. Less strict policies were indirectly related to higher handwashing adherence via higher self-efficacy and self-monitoring. When policies are less strict, exposure to the SARS-CoV-2 virus might be higher, triggering more self-regulation and, consequently, more handwashing adherence. Very strict policies may need to be accompanied by enhanced information dissemination or psychosocial interventions to ensure appropriate levels of self-regulation.

Sections du résumé

BACKGROUND
Patterns of protective health behaviors, such as handwashing and sanitizing during the COVID-19 pandemic, may be predicted by macro-level variables, such as regulations specified by public health policies. Health behavior patterns may also be predicted by micro-level variables, such as self-regulatory cognitions specified by health behavior models, including the Health Action Process Approach (HAPA).
PURPOSE
This study explored whether strictness of containment and health policies was related to handwashing adherence and whether such associations were mediated by HAPA-specified self-regulatory cognitions.
METHODS
The study (NCT04367337) was conducted among 1,256 adults from Australia, Canada, China, France, Gambia, Germany, Israel, Italy, Malaysia, Poland, Portugal, Romania, Singapore, and Switzerland. Self-report data on cross-situational handwashing adherence were collected using an online survey at two time points, 4 weeks apart. Values of the index of strictness of containment and health policies, obtained from the Oxford COVID-19 Government Response Tracker database, were retrieved twice for each country (1 week prior to individual data collection).
RESULTS
Across countries and time, levels of handwashing adherence and strictness of policies were high. Path analysis indicated that stricter containment and health policies were indirectly related to lower handwashing adherence via lower self-efficacy and self-monitoring. Less strict policies were indirectly related to higher handwashing adherence via higher self-efficacy and self-monitoring.
CONCLUSIONS
When policies are less strict, exposure to the SARS-CoV-2 virus might be higher, triggering more self-regulation and, consequently, more handwashing adherence. Very strict policies may need to be accompanied by enhanced information dissemination or psychosocial interventions to ensure appropriate levels of self-regulation.

Identifiants

DOI: 10.1093/abm/kaab102 PMID: 34871341 PMC: PMC8689736
pubmed: 34871341
pii: 6454393
doi: 10.1093/abm/kaab102
pmc: PMC8689736
doi:

Banques de données

ClinicalTrials.gov
['NCT04367337']

Types de publication

Clinical Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

368-380

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the Society of Behavioral Medicine.

Auteurs

Aleksandra Luszczynska (A)

Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland.
Melbourne Centre for Behaviour Change, Melbourne School of Psychological Sciences, The University of Melbourne, Australia.
ORCID: 0000-0002-4704-9544

Zofia Szczuka (Z)

Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland.

Charles Abraham (C)

School of Psychology, Deakin University, Geelong, Australia.

Adriana Baban (A)

Department of Psychology, Babes-Bolyai University, Cluj-Napoca, Romania.

Sydney Brooks (S)

Faculty of Kinesiology, University of New Brunswick, Fredericton, Canada.

Sabrina Cipolletta (S)

Department of General Psychology, University of Padova, Padova, Italy.

Ebrima Danso (E)

Medical Research Council Unit-The Gambia at London School of Hygiene and Tropical Medicine, Serrekunda, Gambia.

Stephan U Dombrowski (SU)

Faculty of Kinesiology, University of New Brunswick, Fredericton, Canada.

Yiqun Gan (Y)

School of Psychological and Cognitive Sciences, Peking University, Beijing, China.

Tania Gaspar (T)

Institute of Environmental Health, Medical School, University of Lisbon, Lisbon, Portugal.

Margarida Gaspar de Matos (MG)

Institute of Environmental Health, Medical School, University of Lisbon, Lisbon, Portugal.

Konstadina Griva (K)

Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.

Michelle I Jongenelis (MI)

Melbourne Centre for Behaviour Change, Melbourne School of Psychological Sciences, The University of Melbourne, Australia.

Jan Keller (J)

Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.

Nina Knoll (N)

Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.

Jinjin Ma (J)

School of Psychological and Cognitive Sciences, Peking University, Beijing, China.

Mohammad Adbdul Awal Miah (MAA)

School of Medicine, Perdana University-Royal College of Surgeons in Ireland, Kuala Lumpur, Malaysia.

Karen Morgan (K)

School of Medicine, Perdana University-Royal College of Surgeons in Ireland, Kuala Lumpur, Malaysia.

William Peraud (W)

Department of Psychology, INSERM 1219, University of Bordeaux, Bordeaux, France.

Bruno Quintard (B)

Department of Psychology, INSERM 1219, University of Bordeaux, Bordeaux, France.

Vishna Shah (V)

Department of Infectious Diseases, Environmental Health Group, London School of Hygiene and Tropical Medicine, London, UK.

Konstantin Schenkel (K)

Department of Psychology, Applied Social and Health Psychology, University of Zurich , Zurich, Switzerland.

Urte Scholz (U)

Department of Psychology, Applied Social and Health Psychology, University of Zurich , Zurich, Switzerland.
University Research Priority Program "Dynamics of Healthy Ageing", University of Zurich , Zurich, Switzerland.
ORCID: 0000-0003-0184-5921

Ralf Schwarzer (R)

Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.

Maria Siwa (M)

Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland.

Diana Taut (D)

Department of Psychology, Babes-Bolyai University, Cluj-Napoca, Romania.

Silvia C M Tomaino (SCM)

Department of General Psychology, University of Padova, Padova, Italy.

Noa Vilchinsky (N)

Department of Psychology, Bar-Ilan University, Ramat-Gan, Israel.

Hodaya Wolf (H)

Department of Psychology, Bar-Ilan University, Ramat-Gan, Israel.

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › The Interplay Between Strictness of Policies...
questionsmedicales.fr › Maladies de l'appareil respiratoire › Infections de l'appareil respiratoire › Pneumopathie infectieuse › Pneumopathie virale › COVID-19 › The Interplay Between Strictness of Policies...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Hygiène › Hygiène des mains › Désinfection des mains › The Interplay Between Strictness of Policies...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › The Interplay Between Strictness of Policies...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Épidémies de maladies › Épidémies › Pandémies › The Interplay Between Strictness of Policies...
questionsmedicales.fr › Organisations et économie des soins de santé › Politique (principe) › The Interplay Between Strictness of Policies...
questionsmedicales.fr › Virus › Virus à ARN › Virus à ARN à brin positif › Nidovirales › Coronaviridae › Coronavirus › Betacoronavirus › Virus du SRAS › SARS-CoV-2 › The Interplay Between Strictness of Policies...