{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:35:37Z","timestamp":1787016937335,"version":"build-2736575974"},"reference-count":62,"publisher":"BMJ","issue":"3","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP23K16359"],"award-info":[{"award-number":["JP23K16359"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014475","name":"Pfizer Health Research Foundation","doi-asserted-by":"publisher","award":["21-Y-04"],"award-info":[{"award-number":["21-Y-04"]}],"id":[{"id":"10.13039\/100014475","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000009","name":"Foundation for the National Institutes of Health","doi-asserted-by":"publisher","award":["R01AG068633"],"award-info":[{"award-number":["R01AG068633"]}],"id":[{"id":"10.13039\/100000009","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000009","name":"Foundation for the National Institutes of Health","doi-asserted-by":"publisher","award":["R01AG082991"],"award-info":[{"award-number":["R01AG082991"]}],"id":[{"id":"10.13039\/100000009","id-type":"DOI","asserted-by":"publisher"}]},{"name":"GRoW @ Annenberg","award":["Grant\/Award Number: Not Applicable"],"award-info":[{"award-number":["Grant\/Award Number: Not Applicable"]}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["bmjph"],"accepted":{"date-parts":[[2026,6,8]]},"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Rural\u2013urban 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This municipality-level ecological study analysed 4\u2009078\u2009801 deaths during 2017\u20132019 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>After ADI adjustment, rural excess persisted for all-cause mortality overall (adjusted RR 1.010 (95% credible interval (CrI) 1.003 to 1.016))\u2009and 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\u20131.052), 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)).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>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\u2013urban policies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjph-2026-004913","type":"journal-article","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T06:00:29Z","timestamp":1782972029000},"page":"e004913","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":1,"title":["Association of municipal rurality and area deprivation with cause-specific mortality in Japan: a nationwide ecological study"],"prefix":"10.1136","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4652-6994","authenticated-orcid":false,"given":"Masahide","family":"Koda","sequence":"first","affiliation":[{"name":"Division of Epidemiology, School of Public Health, Tohoku University 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