Characterization of non-adopters of COVID-19 non-pharmaceutical interventions through a national cross-sectional survey to assess attitudes and behaviours

Abstract Adoption of non-pharmaceutical interventions (NPIs) remains critical to curtail the spread of COVID-19. Using self-reported adherence to NPIs in Canada, assessed through a national cross-sectional survey of 4498 respondents, we aimed to identify and characterize non-adopters of NPIs, evalua...

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Autores principales:	Raynell Lang, Omid Atabati, Robert J. Oxoby, Mehdi Mourali, Blake Shaffer, Hasan Sheikh, Madison M. Fullerton, Theresa Tang, Jeanna Parsons Leigh, Braden J. Manns, Deborah A. Marshall, Noah M. Ivers, Scott C. Ratzan, Jia Hu, Jamie L. Benham
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5e9a4eebd18041818b1e7db9f5bd86cd
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spelling	oai:doaj.org-article:5e9a4eebd18041818b1e7db9f5bd86cd2021-11-08T10:53:39ZCharacterization of non-adopters of COVID-19 non-pharmaceutical interventions through a national cross-sectional survey to assess attitudes and behaviours10.1038/s41598-021-01279-22045-2322https://doaj.org/article/5e9a4eebd18041818b1e7db9f5bd86cd2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01279-2https://doaj.org/toc/2045-2322Abstract Adoption of non-pharmaceutical interventions (NPIs) remains critical to curtail the spread of COVID-19. Using self-reported adherence to NPIs in Canada, assessed through a national cross-sectional survey of 4498 respondents, we aimed to identify and characterize non-adopters of NPIs, evaluating their attitudes and behaviours to understand barriers and facilitators of adoption. A cluster analysis was used to group adopters separately from non-adopters of NPIs. Associations with sociodemographic factors, attitudes towards COVID-19 and the public health response were assessed using logistic regression models comparing non-adopters to adopters. Of the 4498 respondents, 994 (22%) were clustered as non-adopters. Sociodemographic factors significantly associated with the non-adoption cluster were: (1) being male, (2) age 18–34 years, (3) Albertans, (4) lower education level and (5) higher conservative political leaning. Participants who expressed low concern for COVID-19 and distrust towards several institutions had greater odds of being non-adopters. This information characterizes individuals at greatest odds for non-adoption of NPIs to inform targeted marketing interventions.Raynell LangOmid AtabatiRobert J. OxobyMehdi MouraliBlake ShafferHasan SheikhMadison M. FullertonTheresa TangJeanna Parsons LeighBraden J. MannsDeborah A. MarshallNoah M. IversScott C. RatzanJia HuJamie L. BenhamNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Raynell Lang Omid Atabati Robert J. Oxoby Mehdi Mourali Blake Shaffer Hasan Sheikh Madison M. Fullerton Theresa Tang Jeanna Parsons Leigh Braden J. Manns Deborah A. Marshall Noah M. Ivers Scott C. Ratzan Jia Hu Jamie L. Benham Characterization of non-adopters of COVID-19 non-pharmaceutical interventions through a national cross-sectional survey to assess attitudes and behaviours
description	Abstract Adoption of non-pharmaceutical interventions (NPIs) remains critical to curtail the spread of COVID-19. Using self-reported adherence to NPIs in Canada, assessed through a national cross-sectional survey of 4498 respondents, we aimed to identify and characterize non-adopters of NPIs, evaluating their attitudes and behaviours to understand barriers and facilitators of adoption. A cluster analysis was used to group adopters separately from non-adopters of NPIs. Associations with sociodemographic factors, attitudes towards COVID-19 and the public health response were assessed using logistic regression models comparing non-adopters to adopters. Of the 4498 respondents, 994 (22%) were clustered as non-adopters. Sociodemographic factors significantly associated with the non-adoption cluster were: (1) being male, (2) age 18–34 years, (3) Albertans, (4) lower education level and (5) higher conservative political leaning. Participants who expressed low concern for COVID-19 and distrust towards several institutions had greater odds of being non-adopters. This information characterizes individuals at greatest odds for non-adoption of NPIs to inform targeted marketing interventions.
format	article
author	Raynell Lang Omid Atabati Robert J. Oxoby Mehdi Mourali Blake Shaffer Hasan Sheikh Madison M. Fullerton Theresa Tang Jeanna Parsons Leigh Braden J. Manns Deborah A. Marshall Noah M. Ivers Scott C. Ratzan Jia Hu Jamie L. Benham
author_facet	Raynell Lang Omid Atabati Robert J. Oxoby Mehdi Mourali Blake Shaffer Hasan Sheikh Madison M. Fullerton Theresa Tang Jeanna Parsons Leigh Braden J. Manns Deborah A. Marshall Noah M. Ivers Scott C. Ratzan Jia Hu Jamie L. Benham
author_sort	Raynell Lang
title	Characterization of non-adopters of COVID-19 non-pharmaceutical interventions through a national cross-sectional survey to assess attitudes and behaviours
title_short	Characterization of non-adopters of COVID-19 non-pharmaceutical interventions through a national cross-sectional survey to assess attitudes and behaviours
title_full	Characterization of non-adopters of COVID-19 non-pharmaceutical interventions through a national cross-sectional survey to assess attitudes and behaviours
title_fullStr	Characterization of non-adopters of COVID-19 non-pharmaceutical interventions through a national cross-sectional survey to assess attitudes and behaviours
title_full_unstemmed	Characterization of non-adopters of COVID-19 non-pharmaceutical interventions through a national cross-sectional survey to assess attitudes and behaviours
title_sort	characterization of non-adopters of covid-19 non-pharmaceutical interventions through a national cross-sectional survey to assess attitudes and behaviours
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/5e9a4eebd18041818b1e7db9f5bd86cd
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Characterization of non-adopters of COVID-19 non-pharmaceutical interventions through a national cross-sectional survey to assess attitudes and behaviours

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