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Inequality in physical activity, global trends by income inequality and gender in adults
BACKGROUND: Physical inactivity is a global pandemic associated with a high burden of disease and premature mortality. There is also a trend in growing economic inequalities which impacts population health. There is no global analysis of the relationship between income inequality and population leve...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690175/ https://www.ncbi.nlm.nih.gov/pubmed/33239036 http://dx.doi.org/10.1186/s12966-020-01039-x |
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author | SFM, Chastin Van Cauwenberg, J. Maenhout, L. Cardon, G. Lambert, E. V. Van Dyck, D. |
author_facet | SFM, Chastin Van Cauwenberg, J. Maenhout, L. Cardon, G. Lambert, E. V. Van Dyck, D. |
author_sort | SFM, Chastin |
collection | PubMed |
description | BACKGROUND: Physical inactivity is a global pandemic associated with a high burden of disease and premature mortality. There is also a trend in growing economic inequalities which impacts population health. There is no global analysis of the relationship between income inequality and population levels of physical inactivity. METHODS: Two thousand sixteen World Health Organisation’s country level data about compliance with the 2010 global physical activity guidelines were analysed against country level income interquantile ratio data obtained from the World Bank, OECD and World Income Inequality Database. The analysis was stratified by country income (Low, Middle and High) according to the World Bank classification and gender. Multiple regression was used to quantify the association between physical activity and income inequality. Models were adjusted for GDP and percentage of GDP spent on health care for each country and out of pocket health care spent. RESULTS: Significantly higher levels of inactivity and a wider gap between the percentage of women and men meeting global physical activity guidelines were found in countries with higher income inequality in high and middle income countries irrespective of a country wealth and spend on health care. For example, in higher income countries, for each point increase in the interquantile ratio data, levels of inactivity in women were 3.73% (CI 0.89 6.57) higher, levels of inactivity in men were 2.04% (CI 0.08 4.15) higher and the gap in inactivity levels between women and men was 1.50% larger (CI 0.16 2.83). Similar relationships were found in middle income countries with lower effect sizes. These relationships were, however, not demonstrated in the low-income countries. CONCLUSIONS: Economic inequalities, particularly in high- and middle- income countries might contribute to physical inactivity and might be an important factor to consider and address in order to combat the global inactivity pandemic and to achieve the World Health Organisation target for inactivity reduction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-020-01039-x. |
format | Online Article Text |
id | pubmed-7690175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76901752020-11-30 Inequality in physical activity, global trends by income inequality and gender in adults SFM, Chastin Van Cauwenberg, J. Maenhout, L. Cardon, G. Lambert, E. V. Van Dyck, D. Int J Behav Nutr Phys Act Research BACKGROUND: Physical inactivity is a global pandemic associated with a high burden of disease and premature mortality. There is also a trend in growing economic inequalities which impacts population health. There is no global analysis of the relationship between income inequality and population levels of physical inactivity. METHODS: Two thousand sixteen World Health Organisation’s country level data about compliance with the 2010 global physical activity guidelines were analysed against country level income interquantile ratio data obtained from the World Bank, OECD and World Income Inequality Database. The analysis was stratified by country income (Low, Middle and High) according to the World Bank classification and gender. Multiple regression was used to quantify the association between physical activity and income inequality. Models were adjusted for GDP and percentage of GDP spent on health care for each country and out of pocket health care spent. RESULTS: Significantly higher levels of inactivity and a wider gap between the percentage of women and men meeting global physical activity guidelines were found in countries with higher income inequality in high and middle income countries irrespective of a country wealth and spend on health care. For example, in higher income countries, for each point increase in the interquantile ratio data, levels of inactivity in women were 3.73% (CI 0.89 6.57) higher, levels of inactivity in men were 2.04% (CI 0.08 4.15) higher and the gap in inactivity levels between women and men was 1.50% larger (CI 0.16 2.83). Similar relationships were found in middle income countries with lower effect sizes. These relationships were, however, not demonstrated in the low-income countries. CONCLUSIONS: Economic inequalities, particularly in high- and middle- income countries might contribute to physical inactivity and might be an important factor to consider and address in order to combat the global inactivity pandemic and to achieve the World Health Organisation target for inactivity reduction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-020-01039-x. BioMed Central 2020-11-26 /pmc/articles/PMC7690175/ /pubmed/33239036 http://dx.doi.org/10.1186/s12966-020-01039-x Text en © The Author(s) 2020 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 SFM, Chastin Van Cauwenberg, J. Maenhout, L. Cardon, G. Lambert, E. V. Van Dyck, D. Inequality in physical activity, global trends by income inequality and gender in adults |
title | Inequality in physical activity, global trends by income inequality and gender in adults |
title_full | Inequality in physical activity, global trends by income inequality and gender in adults |
title_fullStr | Inequality in physical activity, global trends by income inequality and gender in adults |
title_full_unstemmed | Inequality in physical activity, global trends by income inequality and gender in adults |
title_short | Inequality in physical activity, global trends by income inequality and gender in adults |
title_sort | inequality in physical activity, global trends by income inequality and gender in adults |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690175/ https://www.ncbi.nlm.nih.gov/pubmed/33239036 http://dx.doi.org/10.1186/s12966-020-01039-x |
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