地方と都市の健康格差は疾患によって異なる -全国408万人データから地理的要因と社会経済的要因の関連を解明-

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2026-07-21 東北大学

東北大学の研究グループは、2017~2019年に全国の市区町村で記録された約408万件の死亡データを解析し、地方と都市部の健康格差が社会経済的要因だけでは説明できず、死因ごとに異なることを明らかにした。地理的条件を示す「へき地度」と所得・雇用など地域の社会経済的困窮度を同時に考慮した結果、社会経済的格差を補正しても、心疾患、交通事故、自殺による死亡は地方で高く、結核や肺炎による死亡は都市部で高い傾向が認められた。これらの結果は、地域の健康格差には医療アクセスや生活環境、感染症リスクなど地理的特性が独立して影響している可能性を示している。本研究は、全国規模のデータを用いて地域特性と死因別死亡率の関係を包括的に示したものであり、地域ごとの課題に応じた保健医療政策や健康格差対策を立案するための重要な基礎資料となることが期待される。

地方と都市の健康格差は疾患によって異なる -全国408万人データから地理的要因と社会経済的要因の関連を解明-
図1. 研究デザインの概要 全国約408万件の死亡データを、「へき地度」と「地域の社会経済的な不利」の2つの視点から分析し、死因ごとに地方と都市部の差を調べました。

<関連情報>

日本における市町村の農村性および地域格差と死因別死亡率との関連性:全国規模の生態学的研究 Association of municipal rurality and area deprivation with cause-specific mortality in Japan: a nationwide ecological study

Masahide Koda,Nahoko Harada,Shuhei Nomura ,Yusuke Tsugawa
BMJ Public Health  Published:1 July 2026
DOI:https://doi.org/10.1136/bmjph-2026-004913

Abstract

Introduction Rural–urban disparities in mortality persist across high-income countries but whether these differences reflect geographic barriers, socioeconomic disadvantage or both remains unclear. Disentangling these pathways is important for designing effective interventions but nationwide Japanese evidence that jointly models geographic remoteness and area deprivation in relation to cause-specific mortality remains limited.

Methods This municipality-level ecological study analysed 4 078 801 deaths during 2017–2019 across 1890 municipalities in Japan. Rurality was measured using the Rurality Index for Japan, and socioeconomic deprivation using the Area Deprivation Index (ADI). Bayesian spatial Poisson models estimated rate ratios (RRs) for all-cause mortality and 34 cause-specific outcomes (35 outcomes in total) with and without ADI adjustment. Percentage attenuation was interpreted descriptively.

Results After ADI adjustment, rural excess persisted for all-cause mortality overall (adjusted RR 1.010 (95% credible interval (CrI) 1.003 to 1.016)) and in females (1.009 (95% CrI 1.002 to 1.016), while the male estimate was close to the null. Rural excess also persisted for selected cardiovascular and cerebrovascular outcomes in the total population, including heart diseases, acute myocardial infarction, arrhythmias and conduction disorders, heart failure, cerebrovascular diseases and cerebral infarction (RRs 1.023–1.052), plus senility, unintentional injuries, traffic accidents and suicide. Aggregate malignant neoplasms, which overlapped with site-specific cancers, were near null in the total population, whereas tuberculosis, pneumonia, several site-specific cancers, asthma and liver disease showed urban excess, most notably tuberculosis (0.858 (95% CrI 0.814 to 0.905)).

Conclusions Municipal rurality showed heterogeneous cause-specific associations with mortality after ADI adjustment. Higher rurality was associated with excess mortality for several time-sensitive or access-sensitive causes whereas infectious, respiratory, liver and site-specific cancer outcomes showed urban excess. Because the ecological design precludes causal inference about specific pathways reducing disparities requires cause-specific strategies addressing geographic access, socioeconomic disadvantage and urban-context risks, rather than uniform rural–urban policies.

医療・健康
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