Socioeconomic Predictors of Diabetes Mortality in Japan: An Ecological Study Using Municipality-specific Data
- Author:
Tasuku OKUI
1
Author Information
- Publication Type:Original Article
- From:Journal of Preventive Medicine and Public Health 2021;54(5):352-359
- CountryRepublic of Korea
- Language:English
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Abstract:
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 per-capita income was associated with a 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.
