Short-term Exposure to Wildfire-Specific PM2.5 and Diabetes Hospitalization: A Study in Multiple Countries and Territories

Yiwen Zhang, Rongbin Xu, Wenzhong Huang, Lidia Morawska, Fay H. Johnston, Michael Abramson, Luke Knibbs, Patricia Matus, Tingting Ye, Wenhua Yu, Simon Hales, Geoffrey Morgan, Zhengyu Yang, Yanming Liu, Ke Ju, Pei Yu, Eric Lavigne, Yao Wu, Bo Wen, Yuxi ZhangJane Heyworth, Guy Marks, Paulo H.N. Saldiva, Micheline S.Z.S. Coelho, Yue Leon Guo, Jiangning Song, Yuming Guo, Shanshan Li*

*Autor correspondiente de este trabajo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

1 Cita (Scopus)

Resumen

OBJECTIVE To evaluate associations of wildfire fine particulate matter ≤2.5 mm in diameter (PM2.5) 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 PM2.5 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 PM2.5 and diabetes hospitalization. Subgroup analyses were by age, sex, location income level, and country or territory. Diabetes hospitalizations attributable to wildfire-specific PM2.5 and nonwildfire PM2.5 were compared. RESULTS Each 10 mg/m3 increase in wildfire-specific PM2.5 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 PM2.5. Compared with nonwildfire PM2.5, wildfire-specific PM2.5 posed greater risks of all-cause, type 1, and type 2 diabetes and were responsible for 38.7% of PM2.5-related diabetes hospitalizations. CONCLUSIONS We show the relatively underappreciated links between diabetes and wildfire air pollution, which can lead to a nonnegligible proportion of PM2.5-related diabetes hospitalizations. Precision prevention and mitigation should be developed for those in advantaged communities and in Thailand, Australia, and Brazil.

Idioma originalInglés
Páginas (desde-hasta)1664-1672
Número de páginas9
PublicaciónDiabetes Care
Volumen47
N.º9
DOI
EstadoPublicada - sep. 2024

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© 2024 by the American Diabetes Association.

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