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Contextualising COVID-19 prevention behaviour over time in Australia: Patterns and long-term predictors from April to July 2020 in an online social media sample

BACKGROUND: In Australia in March 2020 a national public health directive required that non-essential workers stay at home, except for essential activities. These restrictions began easing in May 2020 as community transmission slowed. OBJECTIVES: This study investigated changes in COVID prevention b...

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Autores principales: Ayre, Julie, Cvejic, Erin, McCaffery, Kirsten, Copp, Tessa, Cornell, Samuel, Dodd, Rachael H., Pickles, Kristen, Batcup, Carys, Isautier, Jennifer M. J., Nickel, Brooke, Dakin, Thomas, Bonner, Carissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241082/
https://www.ncbi.nlm.nih.gov/pubmed/34185816
http://dx.doi.org/10.1371/journal.pone.0253930
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author Ayre, Julie
Cvejic, Erin
McCaffery, Kirsten
Copp, Tessa
Cornell, Samuel
Dodd, Rachael H.
Pickles, Kristen
Batcup, Carys
Isautier, Jennifer M. J.
Nickel, Brooke
Dakin, Thomas
Bonner, Carissa
author_facet Ayre, Julie
Cvejic, Erin
McCaffery, Kirsten
Copp, Tessa
Cornell, Samuel
Dodd, Rachael H.
Pickles, Kristen
Batcup, Carys
Isautier, Jennifer M. J.
Nickel, Brooke
Dakin, Thomas
Bonner, Carissa
author_sort Ayre, Julie
collection PubMed
description BACKGROUND: In Australia in March 2020 a national public health directive required that non-essential workers stay at home, except for essential activities. These restrictions began easing in May 2020 as community transmission slowed. OBJECTIVES: This study investigated changes in COVID prevention behaviours from April-July 2020, and psychosocial predictors of these behaviours. METHODS: An Australia-wide (national) survey was conducted in April, with monthly follow-up over four months. Participants who were adults (18+ years), currently residing in Australia and who could read and understand English were eligible. Recruitment was via online social media. Analysis sample included those who provided responses to the baseline survey (April) and at least one subsequent follow-up survey (N = 1834 out of a possible 3216 who completed the April survey). 71.7% of the sample was female (n = 1,322). Principal components analysis (PCA) combined self-reported adherence across seven prevention behaviours. PCA identified two behaviour types: ‘distancing’ (e.g. staying 1.5m away) and ‘hygiene’ (e.g. washing hands), explaining 28.3% and 24.2% of variance, respectively. Distancing and hygiene behaviours were analysed individually using multivariable regression models. RESULTS: On average, participants agreed with statements of adherence for all behaviours (means all above 4 out of 7). Distancing behaviours declined each month (p’s < .001), whereas hygiene behaviours remained relatively stable. For distancing, stronger perceptions of societal risk, self-efficacy to maintain distancing, and greater perceived social obligation at baseline were associated with adherence in June and July (p’s<0.05). For hygiene, the only significant correlate of adherence in June and July was belief that one’s actions could prevent infection of family members (p < .001). CONCLUSION: High adherence to COVID prevention behaviours were reported in this social media sample; however, distancing behaviours tended to decrease over time. Belief in social responsibility may be an important aspect to consider in encouraging distancing behaviours. These findings have implications for managing a shift from government-imposed restrictions to individual responsibility.
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spelling pubmed-82410822021-07-09 Contextualising COVID-19 prevention behaviour over time in Australia: Patterns and long-term predictors from April to July 2020 in an online social media sample Ayre, Julie Cvejic, Erin McCaffery, Kirsten Copp, Tessa Cornell, Samuel Dodd, Rachael H. Pickles, Kristen Batcup, Carys Isautier, Jennifer M. J. Nickel, Brooke Dakin, Thomas Bonner, Carissa PLoS One Research Article BACKGROUND: In Australia in March 2020 a national public health directive required that non-essential workers stay at home, except for essential activities. These restrictions began easing in May 2020 as community transmission slowed. OBJECTIVES: This study investigated changes in COVID prevention behaviours from April-July 2020, and psychosocial predictors of these behaviours. METHODS: An Australia-wide (national) survey was conducted in April, with monthly follow-up over four months. Participants who were adults (18+ years), currently residing in Australia and who could read and understand English were eligible. Recruitment was via online social media. Analysis sample included those who provided responses to the baseline survey (April) and at least one subsequent follow-up survey (N = 1834 out of a possible 3216 who completed the April survey). 71.7% of the sample was female (n = 1,322). Principal components analysis (PCA) combined self-reported adherence across seven prevention behaviours. PCA identified two behaviour types: ‘distancing’ (e.g. staying 1.5m away) and ‘hygiene’ (e.g. washing hands), explaining 28.3% and 24.2% of variance, respectively. Distancing and hygiene behaviours were analysed individually using multivariable regression models. RESULTS: On average, participants agreed with statements of adherence for all behaviours (means all above 4 out of 7). Distancing behaviours declined each month (p’s < .001), whereas hygiene behaviours remained relatively stable. For distancing, stronger perceptions of societal risk, self-efficacy to maintain distancing, and greater perceived social obligation at baseline were associated with adherence in June and July (p’s<0.05). For hygiene, the only significant correlate of adherence in June and July was belief that one’s actions could prevent infection of family members (p < .001). CONCLUSION: High adherence to COVID prevention behaviours were reported in this social media sample; however, distancing behaviours tended to decrease over time. Belief in social responsibility may be an important aspect to consider in encouraging distancing behaviours. These findings have implications for managing a shift from government-imposed restrictions to individual responsibility. Public Library of Science 2021-06-29 /pmc/articles/PMC8241082/ /pubmed/34185816 http://dx.doi.org/10.1371/journal.pone.0253930 Text en © 2021 Ayre et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ayre, Julie
Cvejic, Erin
McCaffery, Kirsten
Copp, Tessa
Cornell, Samuel
Dodd, Rachael H.
Pickles, Kristen
Batcup, Carys
Isautier, Jennifer M. J.
Nickel, Brooke
Dakin, Thomas
Bonner, Carissa
Contextualising COVID-19 prevention behaviour over time in Australia: Patterns and long-term predictors from April to July 2020 in an online social media sample
title Contextualising COVID-19 prevention behaviour over time in Australia: Patterns and long-term predictors from April to July 2020 in an online social media sample
title_full Contextualising COVID-19 prevention behaviour over time in Australia: Patterns and long-term predictors from April to July 2020 in an online social media sample
title_fullStr Contextualising COVID-19 prevention behaviour over time in Australia: Patterns and long-term predictors from April to July 2020 in an online social media sample
title_full_unstemmed Contextualising COVID-19 prevention behaviour over time in Australia: Patterns and long-term predictors from April to July 2020 in an online social media sample
title_short Contextualising COVID-19 prevention behaviour over time in Australia: Patterns and long-term predictors from April to July 2020 in an online social media sample
title_sort contextualising covid-19 prevention behaviour over time in australia: patterns and long-term predictors from april to july 2020 in an online social media sample
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241082/
https://www.ncbi.nlm.nih.gov/pubmed/34185816
http://dx.doi.org/10.1371/journal.pone.0253930
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