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Geographical socioeconomic inequalities in healthy life expectancy in Japan, 2010-2014: An ecological study

BACKGROUND: Area differences in life expectancy (LE) and healthy life expectancy (HLE) in large geographical units have been monitored around the world. Area characteristics may be based on culture, history, socioeconomic status and discrimination in smaller geographical units, so it is important to...

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Autores principales: Kataoka, Aoi, Fukui, Keisuke, Sato, Tomoharu, Kikuchi, Hiroyuki, Inoue, Shigeru, Kondo, Naoki, Nakaya, Tomoki, Ito, Yuri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355904/
https://www.ncbi.nlm.nih.gov/pubmed/34527999
http://dx.doi.org/10.1016/j.lanwpc.2021.100204
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author Kataoka, Aoi
Fukui, Keisuke
Sato, Tomoharu
Kikuchi, Hiroyuki
Inoue, Shigeru
Kondo, Naoki
Nakaya, Tomoki
Ito, Yuri
author_facet Kataoka, Aoi
Fukui, Keisuke
Sato, Tomoharu
Kikuchi, Hiroyuki
Inoue, Shigeru
Kondo, Naoki
Nakaya, Tomoki
Ito, Yuri
author_sort Kataoka, Aoi
collection PubMed
description BACKGROUND: Area differences in life expectancy (LE) and healthy life expectancy (HLE) in large geographical units have been monitored around the world. Area characteristics may be based on culture, history, socioeconomic status and discrimination in smaller geographical units, so it is important to consider these when looking at health inequality. We aimed to evaluate LE, HLE, and non-healthy life expectancy (NHLE) in 1707 municipalities using Areal Deprivation Index (ADI) in Japan for the first time. METHODS: We calculated the observed LE, HLE, and NHLE using death, population, and Long-term care insurance data for 2010-2014 and applied the variance weighted least squares model to estimate LE, HLE, and NHLE by 100 percentiles using the standardized ADI. FINDINGS: The estimated LE, HLE, and NHLE became lower as the deprivation index worsened: the differences between the most and least deprived areas for HLE were 2·49 years for LE and 2·32 years for HLE in males; 1·22 years for LE and 0·93 years for HLE in females. The observed LE and HLE in the most deprived areas were much lower than other areas. INTERPRETATION: Using ADI has enabled us to see the disparity within municipalities precisely. LE and HLE outlier for the 100th percentile might be linked to historical areal deprivation and marginalization. Precise monitoring of socioeconomic status-based health inequalities could help manage these inequalities by identifying the groups most in need of intervention. FUNDING: The Ministry of Education, Science and Culture of Japan (a Grant-in-Aid for Scientific Research [A] No. 20H00040 and 18H04071).
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spelling pubmed-83559042021-09-14 Geographical socioeconomic inequalities in healthy life expectancy in Japan, 2010-2014: An ecological study Kataoka, Aoi Fukui, Keisuke Sato, Tomoharu Kikuchi, Hiroyuki Inoue, Shigeru Kondo, Naoki Nakaya, Tomoki Ito, Yuri Lancet Reg Health West Pac Research Paper BACKGROUND: Area differences in life expectancy (LE) and healthy life expectancy (HLE) in large geographical units have been monitored around the world. Area characteristics may be based on culture, history, socioeconomic status and discrimination in smaller geographical units, so it is important to consider these when looking at health inequality. We aimed to evaluate LE, HLE, and non-healthy life expectancy (NHLE) in 1707 municipalities using Areal Deprivation Index (ADI) in Japan for the first time. METHODS: We calculated the observed LE, HLE, and NHLE using death, population, and Long-term care insurance data for 2010-2014 and applied the variance weighted least squares model to estimate LE, HLE, and NHLE by 100 percentiles using the standardized ADI. FINDINGS: The estimated LE, HLE, and NHLE became lower as the deprivation index worsened: the differences between the most and least deprived areas for HLE were 2·49 years for LE and 2·32 years for HLE in males; 1·22 years for LE and 0·93 years for HLE in females. The observed LE and HLE in the most deprived areas were much lower than other areas. INTERPRETATION: Using ADI has enabled us to see the disparity within municipalities precisely. LE and HLE outlier for the 100th percentile might be linked to historical areal deprivation and marginalization. Precise monitoring of socioeconomic status-based health inequalities could help manage these inequalities by identifying the groups most in need of intervention. FUNDING: The Ministry of Education, Science and Culture of Japan (a Grant-in-Aid for Scientific Research [A] No. 20H00040 and 18H04071). Elsevier 2021-07-15 /pmc/articles/PMC8355904/ /pubmed/34527999 http://dx.doi.org/10.1016/j.lanwpc.2021.100204 Text en © 2021 The Authors. Published by Elsevier Ltd. 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 Research Paper
Kataoka, Aoi
Fukui, Keisuke
Sato, Tomoharu
Kikuchi, Hiroyuki
Inoue, Shigeru
Kondo, Naoki
Nakaya, Tomoki
Ito, Yuri
Geographical socioeconomic inequalities in healthy life expectancy in Japan, 2010-2014: An ecological study
title Geographical socioeconomic inequalities in healthy life expectancy in Japan, 2010-2014: An ecological study
title_full Geographical socioeconomic inequalities in healthy life expectancy in Japan, 2010-2014: An ecological study
title_fullStr Geographical socioeconomic inequalities in healthy life expectancy in Japan, 2010-2014: An ecological study
title_full_unstemmed Geographical socioeconomic inequalities in healthy life expectancy in Japan, 2010-2014: An ecological study
title_short Geographical socioeconomic inequalities in healthy life expectancy in Japan, 2010-2014: An ecological study
title_sort geographical socioeconomic inequalities in healthy life expectancy in japan, 2010-2014: an ecological study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355904/
https://www.ncbi.nlm.nih.gov/pubmed/34527999
http://dx.doi.org/10.1016/j.lanwpc.2021.100204
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