Evidence map›Paper›PMID 42572269›Full record

ArticleEnvironmental health and preventive medicine2026

Association between hypertension prevalence and neighborhood characteristics in Japan using combined claims data and geographic information systems: a neighborhood correlation study from LIFE Study.

Kan Oishi, Rei Ono, Kojiro Ishii, Futoshi Oda, Megumi Maeda, Takaaki Mori, Tomoki Nakaya, Haruhisa Fukuda

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Article in Environmental health and preventive medicine, 2026. 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

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kan OishiFaculty of Education, Saga University.ORCID http://orcid.org/0000-0001-5334-9730
Rei OnoNational Center for Geriatrics and Gerontology, Department of Social Science.
Kojiro IshiiHealth and Human Performance Research Center, Doshisha University.
Futoshi OdaDepartment of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University.
Megumi MaedaDepartment of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University.
Takaaki MoriHealth and Human Performance Research Center, Doshisha University.
Tomoki NakayaGraduate School of Environmental Studies, Tohoku University.
Haruhisa FukudaDepartment of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension is prevalent and is influenced by modifiable factors. Increasing attention has focused on community-based health promotion. However, studies on the relationship between neighborhood characteristics and hypertension prevalence are limited. This study combined medical claims and geographic information system data to identify neighborhood characteristics associated with hypertension.

methodsThe study population included participants enrolled in the National Health Insurance or Medical Care System for the Elderly in both 2017 and 2021, and their 2021 data were aggregated at the elementary school district level. Hypertension was defined using the International Statistical Classification of Diseases and Related Health Problems-10 codes I10-I15. Neighborhoods were defined by elementary school districts. For each school district, hypertension prevalence, the proportions of participants aged <65 years, 65-74 years, and ≥75 years, and the proportion of men were calculated. Neighborhood characteristics included college graduation rate, area deprivation index, annual average temperature, annual total precipitation, average slope angle, number of destination types, and densities of public places. Quasi-Poisson regression analyses were conducted with the number of hypertension cases as the dependent variable, neighborhood characteristics as explanatory variables, the proportions of participants aged 65-74 years and ≥75 years, and the proportion of men (in the overall analysis) as covariates, and the number of participants as an offset term. For the quasi-Poisson regression analyses, a Bonferroni-adjusted p-value < 0.05 was considered statistically significant.

resultsThe study covered 424 elementary school districts across 14 municipalities in five prefectures in western Japan. The mean number of participants per district was 2,248 (men: 946, women: 1,302), with an average age of 67 years (men: 66; women: 68). The mean hypertension prevalence was 51% (men: 53%; women: 50%). In the combined and female-only analyses, the neighborhood proportion of university graduates and green space coverage were significantly negatively associated with hypertension prevalence. In the male-only analysis, the proportion of university graduates, green space coverage, and park density showed significant negative associations.

conclusionsNeighborhood socioeconomic and physical environmental characteristics were associated with hypertension prevalence in Japan, particularly educational attainment and green space coverage, suggesting that social and physical environmental attributes may contribute to community-level cardiovascular health.

Indexed as

HypertensionNeighborhood CharacteristicsResidence CharacteristicsAgedAged, 80 and overFemaleGeographic Information SystemsHumansJapanMaleMiddle AgedPrevalenceEducational attainmentGreen spaceJapanNeighborhood environmentSocioeconomic status

Identifiers

PMID42572269
PMCPMC13482160

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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.