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Does it matter how we measure the health of older people in places for associations with labour market outcomes? A cross-sectional study

BACKGROUND: Inequalities between different areas in the United Kingdom (UK) according to health and employment outcomes are well-documented. Yet it is unclear which health indicator is most closely linked to labour market outcomes, and whether associations are restricted to the older population. MET...

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Autores principales: Murray, Emily T., Head, Jenny, Shelton, Nicola, Beach, Brian, Norman, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9719185/
https://www.ncbi.nlm.nih.gov/pubmed/36460979
http://dx.doi.org/10.1186/s12889-022-14661-0
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author Murray, Emily T.
Head, Jenny
Shelton, Nicola
Beach, Brian
Norman, Paul
author_facet Murray, Emily T.
Head, Jenny
Shelton, Nicola
Beach, Brian
Norman, Paul
author_sort Murray, Emily T.
collection PubMed
description BACKGROUND: Inequalities between different areas in the United Kingdom (UK) according to health and employment outcomes are well-documented. Yet it is unclear which health indicator is most closely linked to labour market outcomes, and whether associations are restricted to the older population. METHODS: We used the Office for National Statistics (ONS) Longitudinal Study (LS) to analyse which measures of health-in-a-place were cross-sectionally associated with three employment outcomes in 2011: not being in paid work, working hours (part-time, full-time), and economic inactivity (unemployed, retired, sick/disabled, other). Seven health indicators from local-authority census and vital records data were chosen to represent the older working age population (self-rated health 50-74y, long-term illness 50-74y, Age-specific mortality rate 50-74y, avoidable mortality, life expectancy at birth and 65 years, disability-free life expectancy at 50 years, and healthy life expectancy at 50 years). An additional two health indicators (life expectancy at birth and infant mortality rate) were included as test indicators to determine if associations were limited to the health of older people in a place. These nine health indicators were then linked with the LS sample aged 16-74y with data on employment outcomes and pertinent demographic and individual health information. Interactions by gender and age category (16-49y vs. 50-74y) were also tested. FINDINGS: For all health-in-a-place measures, LS members aged 16–74 who resided in the tertile of local authorities with the ‘unhealthiest’ older population, had higher odds of not being in paid work, including all four types of economic inactivity. The strongest associations were seen for the health-in-a-place measures that were self-reported, long-term illness (Odds Ratio 1.60 [95% Confidence Intervals 1.52, 1.67]) and self-rated health (1.60 [1.52, 1.68]). Within each measure, associations were slightly stronger for men than women and for the 16-49y versus 50-74y LS sample. In models adjusted for individual self-rated health and gender and age category interactions, health-in-a-place gradients were apparent across all economic inactivity’s. However, these same gradients were only apparent for women in part-time work and men in full-time work. CONCLUSION: Improving health of older populations may lead to wider economic benefits for all. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14661-0.
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spelling pubmed-97191852022-12-04 Does it matter how we measure the health of older people in places for associations with labour market outcomes? A cross-sectional study Murray, Emily T. Head, Jenny Shelton, Nicola Beach, Brian Norman, Paul BMC Public Health Research BACKGROUND: Inequalities between different areas in the United Kingdom (UK) according to health and employment outcomes are well-documented. Yet it is unclear which health indicator is most closely linked to labour market outcomes, and whether associations are restricted to the older population. METHODS: We used the Office for National Statistics (ONS) Longitudinal Study (LS) to analyse which measures of health-in-a-place were cross-sectionally associated with three employment outcomes in 2011: not being in paid work, working hours (part-time, full-time), and economic inactivity (unemployed, retired, sick/disabled, other). Seven health indicators from local-authority census and vital records data were chosen to represent the older working age population (self-rated health 50-74y, long-term illness 50-74y, Age-specific mortality rate 50-74y, avoidable mortality, life expectancy at birth and 65 years, disability-free life expectancy at 50 years, and healthy life expectancy at 50 years). An additional two health indicators (life expectancy at birth and infant mortality rate) were included as test indicators to determine if associations were limited to the health of older people in a place. These nine health indicators were then linked with the LS sample aged 16-74y with data on employment outcomes and pertinent demographic and individual health information. Interactions by gender and age category (16-49y vs. 50-74y) were also tested. FINDINGS: For all health-in-a-place measures, LS members aged 16–74 who resided in the tertile of local authorities with the ‘unhealthiest’ older population, had higher odds of not being in paid work, including all four types of economic inactivity. The strongest associations were seen for the health-in-a-place measures that were self-reported, long-term illness (Odds Ratio 1.60 [95% Confidence Intervals 1.52, 1.67]) and self-rated health (1.60 [1.52, 1.68]). Within each measure, associations were slightly stronger for men than women and for the 16-49y versus 50-74y LS sample. In models adjusted for individual self-rated health and gender and age category interactions, health-in-a-place gradients were apparent across all economic inactivity’s. However, these same gradients were only apparent for women in part-time work and men in full-time work. CONCLUSION: Improving health of older populations may lead to wider economic benefits for all. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14661-0. BioMed Central 2022-12-03 /pmc/articles/PMC9719185/ /pubmed/36460979 http://dx.doi.org/10.1186/s12889-022-14661-0 Text en © The Author(s) 2022 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
Murray, Emily T.
Head, Jenny
Shelton, Nicola
Beach, Brian
Norman, Paul
Does it matter how we measure the health of older people in places for associations with labour market outcomes? A cross-sectional study
title Does it matter how we measure the health of older people in places for associations with labour market outcomes? A cross-sectional study
title_full Does it matter how we measure the health of older people in places for associations with labour market outcomes? A cross-sectional study
title_fullStr Does it matter how we measure the health of older people in places for associations with labour market outcomes? A cross-sectional study
title_full_unstemmed Does it matter how we measure the health of older people in places for associations with labour market outcomes? A cross-sectional study
title_short Does it matter how we measure the health of older people in places for associations with labour market outcomes? A cross-sectional study
title_sort does it matter how we measure the health of older people in places for associations with labour market outcomes? a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9719185/
https://www.ncbi.nlm.nih.gov/pubmed/36460979
http://dx.doi.org/10.1186/s12889-022-14661-0
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