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Factors associated with non-adherence to social distancing rules during the COVID-19 pandemic: a logistic regression analysis

BACKGROUND: On March 23, 2020, the government of the United Kingdom told the British people to stay home, an unprecedented request designed to limit the spread of the COVID-19 virus and stop the National Health Service from being overwhelmed. METHODS: This study undertook a cross-sectional design to...

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Autores principales: Hills, Stephen, Eraso, Yolanda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881344/
https://www.ncbi.nlm.nih.gov/pubmed/33581734
http://dx.doi.org/10.1186/s12889-021-10379-7
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author Hills, Stephen
Eraso, Yolanda
author_facet Hills, Stephen
Eraso, Yolanda
author_sort Hills, Stephen
collection PubMed
description BACKGROUND: On March 23, 2020, the government of the United Kingdom told the British people to stay home, an unprecedented request designed to limit the spread of the COVID-19 virus and stop the National Health Service from being overwhelmed. METHODS: This study undertook a cross-sectional design to survey a convenience sample of 681 residents of North London on their social distancing (SD) behaviours, demographics, housing situation, politics, psychology and social support using an online questionnaire. Logistic regression was used to measure the associations between these explanatory factors and non-adherence to all SD rules and intentional non-adherence to SD rules. RESULTS: The vast majority (92.8%) of participants did not adhere to all SD rules and nearly half (48.6%) engaged in intentional non-adherence of rules. The odds of not adhering to all SD rules increased if a participant was not identified as highly vulnerable to COVID-19 [OR = 4.5], had lower control over others’ distancing [OR = .724], had lower control over responsibilities for which coming into contact with others was unavoidable [OR = .642], and if SD behaviours were reported after lockdown was first relaxed [OR = .261]. The odds of intentionally not adhering to SD rules increased if a participant had a lower intention to socially distance [OR = .468], had lower control over others’ distancing [OR = .829], had a doctoral degree compared to a master’s degree [OR = .332], a professional qualification [OR = .307], a bachelor’s degree [OR = .361] or work-related qualification [OR = .174], voted for the UK Government compared to not voting for the Government [OR = .461], perceived higher normative pressure from neighbours [OR = 1.121] and had greater support from friends [OR = 1.465]. CONCLUSIONS: Non-adherence to all SD rules had a stronger association with vulnerability to COVID-19 and control over SD, whereas intentional non-adherence had a stronger association with intention and anti-social psychological factors. It is recommended that people living in high-risk environments, such as those living in houses of multiple occupancy, should be specially supported when asked to stay at home, and public health messaging should emphasise shared responsibility and public consciousness. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10379-7.
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spelling pubmed-78813442021-02-16 Factors associated with non-adherence to social distancing rules during the COVID-19 pandemic: a logistic regression analysis Hills, Stephen Eraso, Yolanda BMC Public Health Research Article BACKGROUND: On March 23, 2020, the government of the United Kingdom told the British people to stay home, an unprecedented request designed to limit the spread of the COVID-19 virus and stop the National Health Service from being overwhelmed. METHODS: This study undertook a cross-sectional design to survey a convenience sample of 681 residents of North London on their social distancing (SD) behaviours, demographics, housing situation, politics, psychology and social support using an online questionnaire. Logistic regression was used to measure the associations between these explanatory factors and non-adherence to all SD rules and intentional non-adherence to SD rules. RESULTS: The vast majority (92.8%) of participants did not adhere to all SD rules and nearly half (48.6%) engaged in intentional non-adherence of rules. The odds of not adhering to all SD rules increased if a participant was not identified as highly vulnerable to COVID-19 [OR = 4.5], had lower control over others’ distancing [OR = .724], had lower control over responsibilities for which coming into contact with others was unavoidable [OR = .642], and if SD behaviours were reported after lockdown was first relaxed [OR = .261]. The odds of intentionally not adhering to SD rules increased if a participant had a lower intention to socially distance [OR = .468], had lower control over others’ distancing [OR = .829], had a doctoral degree compared to a master’s degree [OR = .332], a professional qualification [OR = .307], a bachelor’s degree [OR = .361] or work-related qualification [OR = .174], voted for the UK Government compared to not voting for the Government [OR = .461], perceived higher normative pressure from neighbours [OR = 1.121] and had greater support from friends [OR = 1.465]. CONCLUSIONS: Non-adherence to all SD rules had a stronger association with vulnerability to COVID-19 and control over SD, whereas intentional non-adherence had a stronger association with intention and anti-social psychological factors. It is recommended that people living in high-risk environments, such as those living in houses of multiple occupancy, should be specially supported when asked to stay at home, and public health messaging should emphasise shared responsibility and public consciousness. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10379-7. BioMed Central 2021-02-13 /pmc/articles/PMC7881344/ /pubmed/33581734 http://dx.doi.org/10.1186/s12889-021-10379-7 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Hills, Stephen
Eraso, Yolanda
Factors associated with non-adherence to social distancing rules during the COVID-19 pandemic: a logistic regression analysis
title Factors associated with non-adherence to social distancing rules during the COVID-19 pandemic: a logistic regression analysis
title_full Factors associated with non-adherence to social distancing rules during the COVID-19 pandemic: a logistic regression analysis
title_fullStr Factors associated with non-adherence to social distancing rules during the COVID-19 pandemic: a logistic regression analysis
title_full_unstemmed Factors associated with non-adherence to social distancing rules during the COVID-19 pandemic: a logistic regression analysis
title_short Factors associated with non-adherence to social distancing rules during the COVID-19 pandemic: a logistic regression analysis
title_sort factors associated with non-adherence to social distancing rules during the covid-19 pandemic: a logistic regression analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881344/
https://www.ncbi.nlm.nih.gov/pubmed/33581734
http://dx.doi.org/10.1186/s12889-021-10379-7
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