Short-term Exposure to Wildfire-Specific PM<sub>2.5</sub> and Diabetes Hospitalization: A Study in Multiple Countries and Territories

Simple item page
dc.coverageDOI: 10.2337/dc24-0703
dc.creatorZhang, Yiwen
dc.creatorXu, Rongbin
dc.creatorHuang, Wenzhong
dc.creatorMorawska, Lidia
dc.creatorJohnston, Fay H.
dc.creatorAbramson, Michael
dc.creatorKnibbs, Luke
dc.creatorMatus, Patricia
dc.creatorYe, Tingting
dc.creatorYu, Wenhua
dc.creatorHales, Simon
dc.creatorMorgan, Geoffrey
dc.creatorYang, Zhengyu
dc.creatorLiu, Yanming
dc.creatorJu, Ke
dc.creatorYu, Pei
dc.creatorLavigne, Eric
dc.creatorWu, Yao
dc.creatorWen, Bo
dc.creatorZhang, Yuxi
dc.creatorHeyworth, Jane
dc.creatorMarks, Guy
dc.creatorSaldiva, Paulo H.N.
dc.creatorCoelho, Micheline S.Z.S.
dc.creatorGuo, Yue Leon
dc.creatorSong, Jiangning
dc.creatorGuo, Yuming
dc.creatorLi, Shanshan
dc.date2024
dc.date.accessioned2025-11-18T19:50:40Z
dc.date.available2025-11-18T19:50:40Z
dc.description<p>OBJECTIVE To evaluate associations of wildfire fine particulate matter ≤2.5 mm in diameter (PM<sub>2.5</sub>) with diabetes across multiple countries and territories. RESEARCH DESIGN AND METHODS We collected data on 3,612,135 diabetes hospitalizations from 1,008 locations in Australia, Brazil, Canada, Chile, New Zealand, Thailand, and Taiwan during 2000–2019. Daily wildfire-specific PM<sub>2.5</sub> levels were estimated through chemical transport models and machine-learning calibration. Quasi-Poisson regression with distributed lag non-linear models and random-effects meta-analysis were applied to estimate associations between wildfire-specific PM<sub>2.5</sub> and diabetes hospitalization. Subgroup analyses were by age, sex, location income level, and country or territory. Diabetes hospitalizations attributable to wildfire-specific PM<sub>2.5</sub> and nonwildfire PM<sub>2.5</sub> were compared. RESULTS Each 10 mg/m<sup>3</sup> increase in wildfire-specific PM<sub>2.5</sub> levels over the current day and previous 3 days was associated with relative risks (95% CI) of 1.017 (1.011–1.022), 1.023 (1.011–1.035), 1.023 (1.015–1.032), 0.962 (0.823–1.032), 1.033 (1.001–1.066), and 1.013 (1.004–1.022) for all-cause, type 1, type 2, malnutrition-related, other specified, and unspecified diabetes hospitalization, respectively. Stronger associations were observed for all-cause, type 1, and type 2 diabetes in Thailand, Australia, and Brazil; unspecified diabetes in New Zealand; and type 2 diabetes in high-income locations. An estimate of 0.67% (0.16–1.18%) and 1.02% (0.20–1.81%) for all-cause and type 2 diabetes hospitalizations were attributable to wildfire-specific PM<sub>2.5</sub>. Compared with nonwildfire PM<sub>2.5</sub>, wildfire-specific PM<sub>2.5</sub> posed greater risks of all-cause, type 1, and type 2 diabetes and were responsible for 38.7% of PM<sub>2.5</sub>-related diabetes hospitalizations. CONCLUSIONS We show the relatively underappreciated links between diabetes and wildfire air pollution, which can lead to a nonnegligible proportion of PM<sub>2.5</sub>-related diabetes hospitalizations. Precision prevention and mitigation should be developed for those in advantaged communities and in Thailand, Australia, and Brazil.</p>eng
dc.identifierhttps://investigadores.uandes.cl/en/publications/67571313-4501-4b60-8152-f962051f464f
dc.identifier.urihttps://repositorio.uandes.cl/handle/uandes/56734
dc.languageeng
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourcevol.47 (2024) nr.9 p.1664-1672
dc.subjectSDG 2 - Zero Hunger
dc.subjectSDG 3 - Good Health and Well-being
dc.titleShort-term Exposure to Wildfire-Specific PM<sub>2.5</sub> and Diabetes Hospitalization: A Study in Multiple Countries and Territorieseng
dc.typeArticleeng
dc.typeArtículospa
Files
Collections
PURE