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Socioeconomic Predictors of Diabetes Mortality in Japan: An Ecological Study Using Municipality-specific Data

OBJECTIVES: The aim of this study was to examine the geographic distribution of diabetes mortality in Japan and identify socioeconomic factors affecting differences in municipality-specific diabetes mortality. METHODS: Diabetes mortality data by year and municipality from 2013 to 2017 were extracted...

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Autor principal: Okui, Tasuku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Preventive Medicine 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8517364/
https://www.ncbi.nlm.nih.gov/pubmed/34649397
http://dx.doi.org/10.3961/jpmph.21.215
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author Okui, Tasuku
author_facet Okui, Tasuku
author_sort Okui, Tasuku
collection PubMed
description OBJECTIVES: The aim of this study was to examine the geographic distribution of diabetes mortality in Japan and identify socioeconomic factors affecting differences in municipality-specific diabetes mortality. METHODS: Diabetes mortality data by year and municipality from 2013 to 2017 were extracted from Japanese Vital Statistics, and the socioeconomic characteristics of municipalities were obtained from government statistics. We calculated the standardized mortality ratio (SMR) of diabetes for each municipality using the empirical Bayes method and represented geographic differences in SMRs in a map of Japan. Multiple linear regression was conducted to identify the socioeconomic factors affecting differences in SMR. Statistically significant socioeconomic factors were further assessed by calculating the relative risk of mortality of quintiles of municipalities classified according to the degree of each socioeconomic factor using Poisson regression analysis. RESULTS: The geographic distribution of diabetes mortality differed by gender. Of the municipality-specific socioeconomic factors, high rates of single-person households and unemployment and a high number of hospital beds were associated with a high SMR for men. High rates of fatherless households and blue-collar workers were associated with a high SMR for women, while high taxable income per-capita income and total population were associated with low SMR for women. Quintile analysis revealed a complex relationship between taxable income and mortality for women. The mortality risk of quintiles with the highest and lowest taxable per-capita income was significantly lower than that of the middle-income quintile. CONCLUSIONS: Socioeconomic factors of municipalities in Japan were found to affect geographic differences in diabetes mortality.
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spelling pubmed-85173642021-10-26 Socioeconomic Predictors of Diabetes Mortality in Japan: An Ecological Study Using Municipality-specific Data Okui, Tasuku J Prev Med Public Health Original Article OBJECTIVES: The aim of this study was to examine the geographic distribution of diabetes mortality in Japan and identify socioeconomic factors affecting differences in municipality-specific diabetes mortality. METHODS: Diabetes mortality data by year and municipality from 2013 to 2017 were extracted from Japanese Vital Statistics, and the socioeconomic characteristics of municipalities were obtained from government statistics. We calculated the standardized mortality ratio (SMR) of diabetes for each municipality using the empirical Bayes method and represented geographic differences in SMRs in a map of Japan. Multiple linear regression was conducted to identify the socioeconomic factors affecting differences in SMR. Statistically significant socioeconomic factors were further assessed by calculating the relative risk of mortality of quintiles of municipalities classified according to the degree of each socioeconomic factor using Poisson regression analysis. RESULTS: The geographic distribution of diabetes mortality differed by gender. Of the municipality-specific socioeconomic factors, high rates of single-person households and unemployment and a high number of hospital beds were associated with a high SMR for men. High rates of fatherless households and blue-collar workers were associated with a high SMR for women, while high taxable income per-capita income and total population were associated with low SMR for women. Quintile analysis revealed a complex relationship between taxable income and mortality for women. The mortality risk of quintiles with the highest and lowest taxable per-capita income was significantly lower than that of the middle-income quintile. CONCLUSIONS: Socioeconomic factors of municipalities in Japan were found to affect geographic differences in diabetes mortality. Korean Society for Preventive Medicine 2021-09 2021-08-14 /pmc/articles/PMC8517364/ /pubmed/34649397 http://dx.doi.org/10.3961/jpmph.21.215 Text en Copyright © 2021 The Korean Society for Preventive Medicine https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Okui, Tasuku
Socioeconomic Predictors of Diabetes Mortality in Japan: An Ecological Study Using Municipality-specific Data
title Socioeconomic Predictors of Diabetes Mortality in Japan: An Ecological Study Using Municipality-specific Data
title_full Socioeconomic Predictors of Diabetes Mortality in Japan: An Ecological Study Using Municipality-specific Data
title_fullStr Socioeconomic Predictors of Diabetes Mortality in Japan: An Ecological Study Using Municipality-specific Data
title_full_unstemmed Socioeconomic Predictors of Diabetes Mortality in Japan: An Ecological Study Using Municipality-specific Data
title_short Socioeconomic Predictors of Diabetes Mortality in Japan: An Ecological Study Using Municipality-specific Data
title_sort socioeconomic predictors of diabetes mortality in japan: an ecological study using municipality-specific data
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8517364/
https://www.ncbi.nlm.nih.gov/pubmed/34649397
http://dx.doi.org/10.3961/jpmph.21.215
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