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COVID-19 Protective Behaviors: The Role of Living Arrangements and Localities

OBJECTIVES: Guided by the human-ecological model, we aimed to identify contextual factors related to protective behaviors during the COVID-19 outbreak. METHOD: Data are based on a nationally representative survey of adults aged 50+ in Israel during the COVID-19 outbreak (N = 1,019). Regression model...

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Autores principales: Cohn-Schwartz, Ella, Ayalon, Liat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8239996/
https://www.ncbi.nlm.nih.gov/pubmed/33563067
http://dx.doi.org/10.1177/0733464821992611
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author Cohn-Schwartz, Ella
Ayalon, Liat
author_facet Cohn-Schwartz, Ella
Ayalon, Liat
author_sort Cohn-Schwartz, Ella
collection PubMed
description OBJECTIVES: Guided by the human-ecological model, we aimed to identify contextual factors related to protective behaviors during the COVID-19 outbreak. METHOD: Data are based on a nationally representative survey of adults aged 50+ in Israel during the COVID-19 outbreak (N = 1,019). Regression models predicted three behaviors: using hand sanitizers and masks, stocking up food, and avoiding social meetings. The independent variables were living arrangements (microsystems) and type of localities (macrosystems). RESULTS: Participants who lived alone or lived in rural localities were less likely to adopt protective measures. CONCLUSION: Policy makers should pay particular attention to adults who live alone or live in rural areas as they might be less likely to adopt protective behaviors and face higher health risks during the pandemic.
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spelling pubmed-82399962021-07-13 COVID-19 Protective Behaviors: The Role of Living Arrangements and Localities Cohn-Schwartz, Ella Ayalon, Liat J Appl Gerontol COVID-19 Research OBJECTIVES: Guided by the human-ecological model, we aimed to identify contextual factors related to protective behaviors during the COVID-19 outbreak. METHOD: Data are based on a nationally representative survey of adults aged 50+ in Israel during the COVID-19 outbreak (N = 1,019). Regression models predicted three behaviors: using hand sanitizers and masks, stocking up food, and avoiding social meetings. The independent variables were living arrangements (microsystems) and type of localities (macrosystems). RESULTS: Participants who lived alone or lived in rural localities were less likely to adopt protective measures. CONCLUSION: Policy makers should pay particular attention to adults who live alone or live in rural areas as they might be less likely to adopt protective behaviors and face higher health risks during the pandemic. SAGE Publications 2021-02-09 2021-08 /pmc/articles/PMC8239996/ /pubmed/33563067 http://dx.doi.org/10.1177/0733464821992611 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle COVID-19 Research
Cohn-Schwartz, Ella
Ayalon, Liat
COVID-19 Protective Behaviors: The Role of Living Arrangements and Localities
title COVID-19 Protective Behaviors: The Role of Living Arrangements and Localities
title_full COVID-19 Protective Behaviors: The Role of Living Arrangements and Localities
title_fullStr COVID-19 Protective Behaviors: The Role of Living Arrangements and Localities
title_full_unstemmed COVID-19 Protective Behaviors: The Role of Living Arrangements and Localities
title_short COVID-19 Protective Behaviors: The Role of Living Arrangements and Localities
title_sort covid-19 protective behaviors: the role of living arrangements and localities
topic COVID-19 Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8239996/
https://www.ncbi.nlm.nih.gov/pubmed/33563067
http://dx.doi.org/10.1177/0733464821992611
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