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Socio-economic accounting of inequalities in excess weight: a population-based analysis

BACKGROUND: The prevalence of excess weight has been increasing globally in the last decades, affecting disproportionally adults from low socio-economic backgrounds and putting undue pressure on health systems and societal resources. In England, tackling unfair and unjust health inequalities is at t...

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Autores principales: Candio, Paolo, Mujica, Fiorella Parra, Frew, Emma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116779/
https://www.ncbi.nlm.nih.gov/pubmed/37081498
http://dx.doi.org/10.1186/s12889-023-15592-0
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author Candio, Paolo
Mujica, Fiorella Parra
Frew, Emma
author_facet Candio, Paolo
Mujica, Fiorella Parra
Frew, Emma
author_sort Candio, Paolo
collection PubMed
description BACKGROUND: The prevalence of excess weight has been increasing globally in the last decades, affecting disproportionally adults from low socio-economic backgrounds and putting undue pressure on health systems and societal resources. In England, tackling unfair and unjust health inequalities is at the heart of national public health policy, and a prerequisite for enabling these decision makers to set policy priorities is an understanding of the prevalence and determinants of excess weight inequalities in their local population. METHODS: We conducted both pooled (England) and regional-level (nine regions: North-East, North-West, Yorkshire and Humber, East Midlands, West Midlands, East of England, London, South East and South West) analyses of individual level data from a nationally representative sample of adults (N = 6,387). We used the Corrected Concentration Index (CCI) to measure absolute inequalities in excess weight across three dimensions of socio-economic deprivation: neighbourhood-level deprivation, occupational status and educational qualification. We used a Shapley decomposition method to evaluate their relative contribution to inequality. RESULTS: At a national level, all three dimensions of socio-economic deprivation were found to be positively associated with excess weight across the adult population, as measured by the CCI, with educational qualification ranking first [CCI: -0.090, p < 0.01], closely followed by neighbourhood-level deprivation [CCI: -0.050, p < 0.01]. Large variation was found between regions and genders, with inequality being either considerably higher or exclusively patterned among women. The strongest independent factor contributing to excess weight inequalities was having a long-lasting limiting illness, especially among women and towards the right tail of the excess weight spectrum. Heterogeneous patterns of contribution across the excess weight spectrum were found, however age played a dominant role toward the left tail of the distribution. CONCLUSIONS: While socio-economic inequalities in excess weight exist in the English adult population, our findings underscore the importance of considering multiple dimensions of deprivation and the unique needs of different populations when developing policies to address overweight and obesity. Targeted interventions for adults with overweight and obesity with long-lasting illnesses and women can generate both short-term and long-term economic benefits, by reducing healthcare costs and increasing workforce productivity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15592-0.
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spelling pubmed-101167792023-04-21 Socio-economic accounting of inequalities in excess weight: a population-based analysis Candio, Paolo Mujica, Fiorella Parra Frew, Emma BMC Public Health Research BACKGROUND: The prevalence of excess weight has been increasing globally in the last decades, affecting disproportionally adults from low socio-economic backgrounds and putting undue pressure on health systems and societal resources. In England, tackling unfair and unjust health inequalities is at the heart of national public health policy, and a prerequisite for enabling these decision makers to set policy priorities is an understanding of the prevalence and determinants of excess weight inequalities in their local population. METHODS: We conducted both pooled (England) and regional-level (nine regions: North-East, North-West, Yorkshire and Humber, East Midlands, West Midlands, East of England, London, South East and South West) analyses of individual level data from a nationally representative sample of adults (N = 6,387). We used the Corrected Concentration Index (CCI) to measure absolute inequalities in excess weight across three dimensions of socio-economic deprivation: neighbourhood-level deprivation, occupational status and educational qualification. We used a Shapley decomposition method to evaluate their relative contribution to inequality. RESULTS: At a national level, all three dimensions of socio-economic deprivation were found to be positively associated with excess weight across the adult population, as measured by the CCI, with educational qualification ranking first [CCI: -0.090, p < 0.01], closely followed by neighbourhood-level deprivation [CCI: -0.050, p < 0.01]. Large variation was found between regions and genders, with inequality being either considerably higher or exclusively patterned among women. The strongest independent factor contributing to excess weight inequalities was having a long-lasting limiting illness, especially among women and towards the right tail of the excess weight spectrum. Heterogeneous patterns of contribution across the excess weight spectrum were found, however age played a dominant role toward the left tail of the distribution. CONCLUSIONS: While socio-economic inequalities in excess weight exist in the English adult population, our findings underscore the importance of considering multiple dimensions of deprivation and the unique needs of different populations when developing policies to address overweight and obesity. Targeted interventions for adults with overweight and obesity with long-lasting illnesses and women can generate both short-term and long-term economic benefits, by reducing healthcare costs and increasing workforce productivity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15592-0. BioMed Central 2023-04-20 /pmc/articles/PMC10116779/ /pubmed/37081498 http://dx.doi.org/10.1186/s12889-023-15592-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Candio, Paolo
Mujica, Fiorella Parra
Frew, Emma
Socio-economic accounting of inequalities in excess weight: a population-based analysis
title Socio-economic accounting of inequalities in excess weight: a population-based analysis
title_full Socio-economic accounting of inequalities in excess weight: a population-based analysis
title_fullStr Socio-economic accounting of inequalities in excess weight: a population-based analysis
title_full_unstemmed Socio-economic accounting of inequalities in excess weight: a population-based analysis
title_short Socio-economic accounting of inequalities in excess weight: a population-based analysis
title_sort socio-economic accounting of inequalities in excess weight: a population-based analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116779/
https://www.ncbi.nlm.nih.gov/pubmed/37081498
http://dx.doi.org/10.1186/s12889-023-15592-0
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