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Differential impacts of short-term PM2.5 constituent exposure on type 2 diabetes mellitus: a nationwide
Yi Guo1, Ziwei Peng1, Yuan Liu1
1School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
Abstract:
The associations between short-term exposure to PM2.5 constituents and diabetes remain inconsistent and understudied. We conducted a nationwide case-crossover study across 153 hospitals in Chinese mainland. Daily average concentrations of five major PM2.5 constituents, including black carbon (BC), organic matter (OM), sulfate (SO42-), nitrate (NO3-), and ammonium (NH4+), were assessed by satellite-based models. We applied single-constituent analysis and inverse-probability-of-treatment weighting (IPTW) to assess each constituent's independent effect. In addition, we developed a weighted quantile sum (WQS) regression for paired data with multiple controls to examine the joint impacts of the constituents and quantify each one's contribution. The single-constituent analysis suggested that an interquartile range increase in each of the five constituents was significantly associated with elevated risk of T2DM hospitalization, the effects ranging from 1.49%-2.14%. After adjusting for other constituents using IPTW methods, only OM and SO42- remained significant associations with T2DM. The WQS analysis further confirmed SO42- and OM as the dominant contributors. Our findings highlight the importance of targeted air pollution control measures for T2DM prevention.
Insights
Short-term exposure to air pollutants like organic matter (OM) and sulfate (SO42-) is linked to increased type 2 diabetes risk. Targeted pollution control can aid diabetes prevention efforts.
Area of Science:
- Environmental Health
- Epidemiology
- Toxicology
Background:
- Associations between particulate matter (PM2.5) components and diabetes are unclear.
- Previous studies lack comprehensive analysis of individual PM2.5 constituents' effects.
Purpose of the Study:
- To investigate the independent and joint impacts of PM2.5 constituents on type 2 diabetes mellitus (T2DM) hospitalization.
- To identify specific PM2.5 constituents contributing to T2DM risk.
Main Methods:
- Nationwide case-crossover study involving 153 hospitals in Chinese mainland.
- Satellite-based models estimated daily concentrations of five PM2.5 constituents: BC, OM, SO42-, NO3-, NH4+.
- Employed single-constituent analysis, inverse-probability-of-treatment weighting (IPTW), and weighted quantile sum (WQS) regression.
Main Results:
- Single-constituent analysis showed significant associations between all five PM2.5 constituents and T2DM risk.
- After IPTW adjustment, only organic matter (OM) and sulfate (SO42-) remained significantly associated with T2DM.
- WQS regression identified OM and SO42- as the primary contributors to T2DM risk.
Conclusions:
- Organic matter (OM) and sulfate (SO42-) are key PM2.5 constituents linked to T2DM hospitalization.
- Findings underscore the need for specific air pollution control strategies to prevent type 2 diabetes.
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