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Life-course Associations between Ambient Fine Particulate Matter and the Prevalence of Prediabetes and Diabetes: A Longitudinal Cohort Study in Taiwan and Hong Kong

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posted on 2024-11-12, 17:36 authored by Yuanyuan Yi, Cui Guo, Yiling Zheng, Siyi Chen, Changqing Lin, Alexis KH Lau, Martin CS Wong, David M Bishai

Objective: Both air pollution and diabetes are key urban challenges. The association between PM2.5 exposure and prediabetes/diabetes in adults is well-documented, but the health effects of life-course exposure remain unclear. This study evaluated the impact of PM2.5 exposure throughout various life stages on the prevalence of prediabetes/diabetes in adulthood.

Research Design and Methods: We included 4,551 individuals with 19,593 medical visits from two open cohorts in Taiwan (TW) and Hong Kong (HK) between 2000 and 2018. Ambient PM2.5 exposure was assessed using a satellite-based model, delivering a 2-year average exposure at a resolution of 1 km2. Logistic mixed-effects models were used to investigate longitudinal associations between PM2.5 exposure and the prevalence of prediabetes/diabetes. Life-course models were used to examine the impact of PM2.5 exposure at different life stages on prediabetes/diabetes in adulthood.

Results: Over an average follow-up period of 9.93 years, 1,660 individuals with prediabetes/diabetes were observed. For the longitudinal association, every 10μg/m3 increase in PM2.5 was associated with increased odds of having prediabetes/diabetes (Odds ratio [OR]:1.32, 95% confidence interval [CI]: 1.13–1.54). The odds of adulthood prediabetes/diabetes increased by 15%, 18%, and 29% for each 10μg/m3 increase in PM2.5 exposure during school age, adolescence, and adulthood, respectively.

Conclusions: Our findings suggest a link between PM2.5 exposure during each life stage and the prevalence of prediabetes/diabetes in adulthood, with the health impacts of exposure during adulthood being slightly greater. This study underscores the need for life-course air pollution control strategies to mitigate the substantial disease burden of diabetes.

Funding

This work was in part supported by the University of Hong Kong Seed Fund for Collaborative Research (2207101523), Health and Medical Research Fund (19202201), and Health and Medical Research Fund Fellowship (08220177).

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