Evidence map›Paper›PMID 34649397›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2021

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

Tasuku Okui

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Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Tasuku OkuiMedical Information Center, Kyushu University Hospital, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe 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.

methodsDiabetes 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.

resultsThe 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.

conclusionsSocioeconomic factors of municipalities in Japan were found to affect geographic differences in diabetes mortality.

Indexed as

Diabetes MellitusBayes TheoremCitiesFemaleHumansJapanMaleMortalitySocioeconomic FactorsDiabetesGeographic differenceJapanMortalitySocioeconomic factorsVital statistics

Identifiers

PMID34649397
PMCPMC8517364

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