Evidence map›Paper›PMID 41219958›Full record

ArticleInternational journal of health geographics2025

Spatial spillover effects of area-level socioeconomic factors on life expectancy in Japan: an ecological study.

Ayu Tabuchi, Tomohiro Shinozaki, Yuichi Imanaka

Abstract read
In one paragraph

Article in International journal of health geographics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ayu TabuchiDepartment of Healthcare Economics and Quality Management, School of Public Health, Graduate School of Medicine, Kyoto University, Yoshida Konoe-Cho, Sakyo-Ku, Kyoto, 606-8501, Japan.
Tomohiro ShinozakiInterfaculty Initiative in Information Studies, the University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan.
Yuichi ImanakaDepartment of Healthcare Economics and Quality Management, School of Public Health, Graduate School of Medicine, Kyoto University, Yoshida Konoe-Cho, Sakyo-Ku, Kyoto, 606-8501, Japan. imanaka-y@umin.net.

Funding

Japan Society for the Promotion of Science JP23H00448JST SPRING JPMJSP2110
6 · The paper itself

Abstract

backgroundArea-level socioeconomic status is a well-established determinant of geographical disparities in life expectancy. However, limited attention has been paid to spatial spillover effects, whereby socioeconomic conditions in neighbouring regions influence health outcomes. This study aimed to estimate the direct and spatial spillover effects of socioeconomic factors on life expectancy in Japan and to explore possible mechanisms underlying the observed spillover patterns.

methodsLife expectancy at birth by sex at the municipal level in Japan for 2020 was the outcome variable. A spatial Durbin error model was used to estimate the direct and spatial spillover effects of ten regional socioeconomic factors, along with six control variables, on life expectancy. To ensure robustness, six spatial weight matrices were used. The results were compared with those obtained from a non-spatial linear regression model.

resultsMoran's I values for the residuals of the non-spatial model were statistically significant, indicating spatial autocorrelation. The unemployment rate and the proportion of individuals with no high school diploma showed negative direct and spillover effects, suggesting that being surrounded by regions with employment instability and low educational attainment is associated with lower life expectancy. Taxable income per capita showed no statistically significant spillover effects.

conclusionThe findings indicate that socioeconomic conditions in neighbouring regions, in addition to those within a region, are associated with life expectancy. The observed spillover effects for employment and education support the role of collective resources in shaping regional health. These results indicate the need to incorporate interregional socioeconomic contexts into public health strategies to address geographical disparities in health.

Indexed as

Life ExpectancySocial ClassSocioeconomic FactorsSpatial AnalysisFemaleHealth Status DisparitiesHumansJapanMaleGeographical health disparitiesLife expectancySocioeconomic statusSpatial regressionSpatial spillover

Identifiers

PMID41219958
PMCPMC12606987

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.