- The Association Between PM2.5 Exposure and Diabetes Mellitus Among Thai Army Personnel
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Apisorn Laorattapong, Sarun Poobunjirdkul, Thanapoom Thanapoom, Wiroj Jiamjarasrangsi
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J Prev Med Public Health. 2023;56(5):449-457. Published online September 26, 2023
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DOI: https://doi.org/10.3961/jpmph.23.292
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Abstract
Summary
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- Objectives
This study investigated the association between baseline exposures to particulate matter with a diameter < 2.5 microns (PM2.5) and subsequent temporal changes in PM2.5 exposure with the incidence of type 2 diabetes among Royal Thai Army personnel.
Methods A retrospective cohort study was conducted using nationwide health check-up data from 21 325 Thai Army personnel between 2018 and 2021. Multilevel mixed-effects parametric survival statistics were utilized to analyze the relationship between baseline (i.e., PM2.5-baseline) and subsequent changes (i.e., PM2.5-change) in PM2.5 exposure and the occurrence of type 2 diabetes. Hazard ratios (HRs) and 95% confidence intervals (CIs) were employed to assess this association while considering covariates.
Results There was a significant association between both PM2.5 baseline and PM2.5-change and the incidence of type 2 diabetes in a dose-response manner. Compared to quartile 1, the HRs for quartiles 2 to 4 of PM2.5-baseline were 1.11 (95% CI, 0.74 to 1.65), 1.51 (95% CI, 1.00 to 2.28), and 1.77 (95% CI, 1.07 to 2.93), respectively. Similarly, the HRs for quartiles 2 to 4 of PM2.5-change were 1.41 (95% CI, 1.14 to 1.75), 1.43 (95% CI, 1.13 to 1.81) and 2.40 (95% CI, 1.84 to 3.14), respectively.
Conclusions Our findings contribute to existing evidence regarding the association between short-term and long-term exposure to PM2.5 and the incidence of diabetes among personnel in the Royal Thai Army.
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Summary
Key Message
We simultaneously investigated the impact of the baseline and temporal variations in the exposure to particulate matter (PM) with a diameter <2.5 microns (PM2.5) on type 2 diabetes risk among the Royal Thai Army personnel. We found stronger evidence on the impact of the temporal variation in PM2.5 exposure on the disease risk than that of the baseline variation. This finding may reflect the shorter time frame between the increased PM2.5 exposure and changes in fasting plasma glucose level.
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