{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T06:18:21Z","timestamp":1787811501164,"version":"build-2784847793"},"reference-count":39,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T00:00:00Z","timestamp":1787788800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"\n Background<\/jats:title>\n Emerging evidence links air pollution exposure to metabolic dysfunction; however, few studies have examined diabetes-related mortality in relation to ambient air pollutants using high-resolution exposure data at the population level. In the United States, particularly in large and geographically diverse states such as California, exposure contrasts and population heterogeneity provide an important setting to evaluate these associations.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n We conducted a matched case\u2013control analysis using California Department of Public Health (CDPH) Vital Records (2010\u20132021). Diabetes-related mortality events (ICD-10 E11) were identified as primary or contributory causes. Decedents (cases) were geocoded to residential addresses, and one-year rolling averages of fine particulate matter (PM\n 2.5<\/jats:sub>\n ) before death were assigned as individual exposures. Each death record was matched to its selected controls based on month and year of birth and race-ethnicity. Controls were identified from the same statewide CDPH mortality database and were eligible because they had not died by the corresponding case\u2019s date of death. Because the number of eligible controls varied across matched strata, controls were randomly sampled within each matched stratum to achieve an overall control-to-case ratio of approximately 2:1 for the study population. The final dataset included 60,824 diabetes-related deaths and 119,053 controls. Exposures were standardized by their interquartile range (IQR) and conditional logistic regression models estimated associations between 1\u202fyear rolling average fine particulate matter (PM\n 2.5<\/jats:sub>\n ) exposure and odds of diabetes-related mortality, adjusting for age, sex, race-ethnicity, marital status, and education. Nitrogen dioxide (NO\n 2<\/jats:sub>\n ) was included as a co-pollutant for confounding control.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n PM\n 2.5<\/jats:sub>\n exposure (per 2.65\u202f\u03bcg\/m\n 3<\/jats:sup>\n IQR increase) was associated with a 18% higher odds of diabetes-related mortality (OR\u202f=\u202f1.18; 95% CI: 1.15\u20131.22) before traffic indicator NO\n 2<\/jats:sub>\n adjustment and showed a stronger association with 21% higher odds (OR\u202f=\u202f1.21; 95% CI: 1.17\u20131.25) after NO\n 2<\/jats:sub>\n adjustment. Health economics analysis estimated that reducing PM\n 2.5<\/jats:sub>\n exposure by its IQR could avoid losses of $31.2 million per 100,000 people.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n \n Higher ambient PM\n 2.5<\/jats:sub>\n exposure was associated with increased odds of diabetes-related mortality in California even after adjustment for NO\n 2<\/jats:sub>\n and other impact factors. These findings support the need for continued strengthening of ambient air quality regulations.\n <\/jats:p>\n <\/jats:sec>","DOI":"10.3389\/fpubh.2026.1903823","type":"journal-article","created":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T05:34:44Z","timestamp":1787808884000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Associations of PM2.5 exposure with diabetes-related mortality for California residents"],"prefix":"10.3389","volume":"14","author":[{"given":"Richy","family":"Zheng","sequence":"first","affiliation":[{"name":"School of Public Health, University of California at Berkeley","place":["Berkeley, CA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jason G.","family":"Su","sequence":"additional","affiliation":[{"name":"School of Public Health, University of California at Berkeley","place":["Berkeley, CA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eahsan","family":"Shahriary","sequence":"additional","affiliation":[{"name":"School of Public Health, University of California at Berkeley","place":["Berkeley, CA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sadeer","family":"Al-Kindi","sequence":"additional","affiliation":[{"name":"Houston Methodist & Weill Cornell Medicine, Houston Methodist Research Institute","place":["Houston, TX, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Jerrett","sequence":"additional","affiliation":[{"name":"Fielding School of Public Health, University of California at Los Angeles","place":["Los Angeles, CA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy T.","family":"Brown","sequence":"additional","affiliation":[{"name":"School of Public Health, University of California at Berkeley","place":["Berkeley, CA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rob","family":"McConnell","sequence":"additional","affiliation":[{"name":"Keck School of Medicine, University of Southern California","place":["Los Angeles, CA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Balmes","sequence":"additional","affiliation":[{"name":"School of Medicine, University of California at San Francisco","place":["San Francisco, CA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,8,27]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1586\/14737167.2015.1024661","article-title":"Impact of cardiovascular complications among patients with type 2 diabetes mellitus: a systematic review","volume":"15","author":"Vaidya","year":"2015","journal-title":"Expert Rev Pharmacoecon Outcomes 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