A network approach to understanding social distancing behaviour during the first UK lockdown of the COVID-19 pandemic.
Given the highly infectious nature of COVID-19, social distancing practices are key in stemming the spread of the virus. We aimed to assess the complex interplay among psychological factors, socio-demographic characteristics and social distancing behaviours within the framework of the widely used Ca...
| Published in: | Psychology & Health Vol. 39; no. 1; pp. 109 - 128 |
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| Main Authors: | , , , , , , , , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Taylor & Francis Ltd
Jan2024
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=174419928&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 174419928 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08870446 7WK jtl: Psychology & Health issn: 08870446 maglogo: N pubinfo: dt: Jan2024 vid: 39 iid: 1 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 174419928 155999841 174419928 174419928 10.1080/08870446.2022.2057497 174419928 ppf: 109 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A network approach to understanding social distancing behaviour during the first UK lockdown of the COVID-19 pandemic. aug: au: Gibson-Miller, Jilly Zavlis, Orestis Hartman, Todd K. Bennett, Kate M. Butter, Sarah Levita, Liat Martinez, Anton P. Mason, Liam McBride, Orla McKay, Ryan Murphy, Jamie Shevlin, Mark Stocks, Thomas V. A Bentall, Richard P. affil: Department of Psychology, University of Sheffield, Sheffield, UK sug: subj: Adaptation, Psychological Sociodemographic Factors Social Distancing Health Behavior COVID-19 Prevention and Control Stay-at-Home Orders United Kingdom COVID-19 Pandemic Human United Kingdom COVID-19 Transmission Disease Transmission Prevention and Control Conceptual Framework Motivation Psychometrics Income Age Factors Educational Status Behavioral Sciences Funding Source ab: Given the highly infectious nature of COVID-19, social distancing practices are key in stemming the spread of the virus. We aimed to assess the complex interplay among psychological factors, socio-demographic characteristics and social distancing behaviours within the framework of the widely used Capability, Opportunity, Motivation-Behaviour (COM-B) model. The present research employed network psychometrics on data collected during the first UK lockdown in April 2020 as part of the COVID-19 Psychological Research Consortium (C19PRC) Study. Using a network approach, we examined the predictions of psychological and demographic variables onto social distancing practices at two levels of analysis: macro and micro. Our findings revealed several factors that influenced social distancing behaviour during the first UK lockdown. The COM-B model was successful in predicting particular aspects of social-distancing via the influence of psychological capability and motivation at the macro-and micro-levels, respectively. Notably, demographic variables, such as education, income, and age, were directly and uniquely predictive of certain social distancing behaviours. Our findings reveal psychological factors that are key predictors of social distancing behaviour and also illustrate how demographic variables directly influence such behaviour. Our research has implications for the design of empirically-driven interventions to promote adherence to social distancing practices in this and future pandemics. Supplemental data for this article is available online at pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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