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The health potential of neighborhoods: A population-wide study in the Netherlands

BACKGROUND: While differences in population health across neighborhoods with different socioeconomic characteristics are well documented, health disparities across neighborhoods with similar socioeconomic characteristics are less well understood. We aimed to estimate population health inequalities,...

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Detalles Bibliográficos
Autores principales: Dekker, L.H., Rijnks, R.H., Mierau, J.O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327128/
https://www.ncbi.nlm.nih.gov/pubmed/34377761
http://dx.doi.org/10.1016/j.ssmph.2021.100867
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author Dekker, L.H.
Rijnks, R.H.
Mierau, J.O.
author_facet Dekker, L.H.
Rijnks, R.H.
Mierau, J.O.
author_sort Dekker, L.H.
collection PubMed
description BACKGROUND: While differences in population health across neighborhoods with different socioeconomic characteristics are well documented, health disparities across neighborhoods with similar socioeconomic characteristics are less well understood. We aimed to estimate population health inequalities, both within and between neighborhoods with similar socioeconomic status, and assessed the association of neighborhood characteristics and socioeconomic spillover effects from adjacent neighborhoods. METHODS: Based on Dutch whole-population data we determined the percentage of inhabitants with good or very good self-assessed health (SAH) and the percentage of inhabitants with at least one chronic disease (CD) in 11,504 neighborhoods. Neighborhoods were classified by quintiles of a composite neighborhoods socioeconomic status score (NSES). A set of spatial models was estimated accounting for spatial effects in the dependent, independent, and error components of the model. RESULTS: Substantial population health disparities in SAH and CD both within and between neighborhoods NSES quintiles were observed, with the largest SAH variance in the lowest NSES group. Neighborhoods adjacent to higher SES neighborhoods showed a higher SAH and a lower prevalence of CD. Projected impacts from the spatial regressions indicate how modest changes in NSES among the lowest socioeconomic neighborhoods can contribute to population health in both low- and high-SES neighborhoods. CONCLUSION: Population health differs substantially among neighborhoods with similar socioeconomic characteristics, which can partially be explained by a spatial socio-economic spillover effect.
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spelling pubmed-83271282021-08-09 The health potential of neighborhoods: A population-wide study in the Netherlands Dekker, L.H. Rijnks, R.H. Mierau, J.O. SSM Popul Health Article BACKGROUND: While differences in population health across neighborhoods with different socioeconomic characteristics are well documented, health disparities across neighborhoods with similar socioeconomic characteristics are less well understood. We aimed to estimate population health inequalities, both within and between neighborhoods with similar socioeconomic status, and assessed the association of neighborhood characteristics and socioeconomic spillover effects from adjacent neighborhoods. METHODS: Based on Dutch whole-population data we determined the percentage of inhabitants with good or very good self-assessed health (SAH) and the percentage of inhabitants with at least one chronic disease (CD) in 11,504 neighborhoods. Neighborhoods were classified by quintiles of a composite neighborhoods socioeconomic status score (NSES). A set of spatial models was estimated accounting for spatial effects in the dependent, independent, and error components of the model. RESULTS: Substantial population health disparities in SAH and CD both within and between neighborhoods NSES quintiles were observed, with the largest SAH variance in the lowest NSES group. Neighborhoods adjacent to higher SES neighborhoods showed a higher SAH and a lower prevalence of CD. Projected impacts from the spatial regressions indicate how modest changes in NSES among the lowest socioeconomic neighborhoods can contribute to population health in both low- and high-SES neighborhoods. CONCLUSION: Population health differs substantially among neighborhoods with similar socioeconomic characteristics, which can partially be explained by a spatial socio-economic spillover effect. Elsevier 2021-07-07 /pmc/articles/PMC8327128/ /pubmed/34377761 http://dx.doi.org/10.1016/j.ssmph.2021.100867 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dekker, L.H.
Rijnks, R.H.
Mierau, J.O.
The health potential of neighborhoods: A population-wide study in the Netherlands
title The health potential of neighborhoods: A population-wide study in the Netherlands
title_full The health potential of neighborhoods: A population-wide study in the Netherlands
title_fullStr The health potential of neighborhoods: A population-wide study in the Netherlands
title_full_unstemmed The health potential of neighborhoods: A population-wide study in the Netherlands
title_short The health potential of neighborhoods: A population-wide study in the Netherlands
title_sort health potential of neighborhoods: a population-wide study in the netherlands
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327128/
https://www.ncbi.nlm.nih.gov/pubmed/34377761
http://dx.doi.org/10.1016/j.ssmph.2021.100867
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