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Age and Gender Demographics Predict Compliance with COVID-19 Public Health Measures: Data from a Global Sample
The COVID-19 global pandemic has brought far-reaching consequences on individual and societal levels. Social distancing and physical hygiene constitute effective public health measures to limit the spread of the virus. The current study investigates individual age and gender demographics, in interac...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968961/ http://dx.doi.org/10.1093/geroni/igab046.3207 |
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author | Heemskerk, Amber Lin, Tian Harris, Elizabeth Van Bavel, Jay Ebner, Natalie |
author_facet | Heemskerk, Amber Lin, Tian Harris, Elizabeth Van Bavel, Jay Ebner, Natalie |
author_sort | Heemskerk, Amber |
collection | PubMed |
description | The COVID-19 global pandemic has brought far-reaching consequences on individual and societal levels. Social distancing and physical hygiene constitute effective public health measures to limit the spread of the virus. The current study investigates individual age and gender demographics, in interaction with a country’s human development index (HDI), as crucial factors influencing compliance with public health measures in a large multi-national adult lifespan sample. This report leverages data from a large-scale international collaboration (Van Bavel et al., 2020; https://psyarxiv.com/ydt95/) comprising 45,576 individuals from 66 countries/territories. Participants provided self-reports of their compliance/agreement with three public health measures (i.e., spatial distancing, physical hygiene, policy support). Older age, female gender, and lower HDI were independently associated with greater compliance with public health measures. In addition, a significant three-way interaction between participant age, participant gender, and a country’s HDI revealed that compliance was lowest in younger adults from well-developed countries, while compliance was highest among females across all ages from less-developed countries. Compliance with public health measures is crucial in effectively reducing coronavirus spread. Our findings suggest that age and gender as individual-level demographics, in tandem with HDI as a country-level predictor, affect individuals’ willingness to comply with public health measures. These results highlight the potential of data-driven, tailored (i.e., towards specific demographics) health campaigns and public policies in the fight against a global pandemic. |
format | Online Article Text |
id | pubmed-8968961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-89689612022-04-01 Age and Gender Demographics Predict Compliance with COVID-19 Public Health Measures: Data from a Global Sample Heemskerk, Amber Lin, Tian Harris, Elizabeth Van Bavel, Jay Ebner, Natalie Innov Aging Abstracts The COVID-19 global pandemic has brought far-reaching consequences on individual and societal levels. Social distancing and physical hygiene constitute effective public health measures to limit the spread of the virus. The current study investigates individual age and gender demographics, in interaction with a country’s human development index (HDI), as crucial factors influencing compliance with public health measures in a large multi-national adult lifespan sample. This report leverages data from a large-scale international collaboration (Van Bavel et al., 2020; https://psyarxiv.com/ydt95/) comprising 45,576 individuals from 66 countries/territories. Participants provided self-reports of their compliance/agreement with three public health measures (i.e., spatial distancing, physical hygiene, policy support). Older age, female gender, and lower HDI were independently associated with greater compliance with public health measures. In addition, a significant three-way interaction between participant age, participant gender, and a country’s HDI revealed that compliance was lowest in younger adults from well-developed countries, while compliance was highest among females across all ages from less-developed countries. Compliance with public health measures is crucial in effectively reducing coronavirus spread. Our findings suggest that age and gender as individual-level demographics, in tandem with HDI as a country-level predictor, affect individuals’ willingness to comply with public health measures. These results highlight the potential of data-driven, tailored (i.e., towards specific demographics) health campaigns and public policies in the fight against a global pandemic. Oxford University Press 2021-12-17 /pmc/articles/PMC8968961/ http://dx.doi.org/10.1093/geroni/igab046.3207 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Heemskerk, Amber Lin, Tian Harris, Elizabeth Van Bavel, Jay Ebner, Natalie Age and Gender Demographics Predict Compliance with COVID-19 Public Health Measures: Data from a Global Sample |
title | Age and Gender Demographics Predict Compliance with COVID-19 Public Health Measures: Data from a Global Sample |
title_full | Age and Gender Demographics Predict Compliance with COVID-19 Public Health Measures: Data from a Global Sample |
title_fullStr | Age and Gender Demographics Predict Compliance with COVID-19 Public Health Measures: Data from a Global Sample |
title_full_unstemmed | Age and Gender Demographics Predict Compliance with COVID-19 Public Health Measures: Data from a Global Sample |
title_short | Age and Gender Demographics Predict Compliance with COVID-19 Public Health Measures: Data from a Global Sample |
title_sort | age and gender demographics predict compliance with covid-19 public health measures: data from a global sample |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968961/ http://dx.doi.org/10.1093/geroni/igab046.3207 |
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