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Associations between the chemical composition of PM2.5 and gestational diabetes mellitus
Yi Zheng1, Xiaoxiao Wen1, Jiang Bian2
1Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA.
Background:
Fine particulate matter (PM2.5) is a complex mixture of fine particulates with large spatiotemporal heterogeneities in chemical compositions. While PM2.5 has been associated with gestational diabetes mellitus (GDM), little is known about the relationship between specific chemical components of PM2.5 and GDM. We examined the associations between GDM and pregnancy exposures to PM2.5 and its compositions, including sulfate (SO42-), ammonium (NH4+), nitrate (NO3-), organic matter (OM), black carbon (BC), mineral dust (DUST), and sea-salt (SS), and to identify critical windows of exposure.
Methods:
We used data from the 2005-2015 Florida Vital Statistics Birth Records. A well-validated geoscience-derived model was used to estimate women's pregnancy exposures to PM2.5 and its compositions. Distributed lag models were used to examine the associations and to identify the critical windows of exposure.
Results:
A total of 2,078,669 women were included. In single-pollutant models, after controlling for potential confounders, positive associations between PM2.5 and GDM were observed during the second trimester of pregnancy. We found positive associations between SO42-, NH4+, NO3-, OM and BC, with largest effect sizes observed in the 21-24 weeks of pregnancy. Negative associations were observed for DUST and SS. Consistent results for NH4+, OM, DUST and SS were observed in the multi-pollutant models.
Conclusions:
Exposures to PM2.5 and its compositions (mainly NH4+, OM) during the second trimester are positively associated with GDM, especially for exposures during the 21-24 weeks of pregnancy. Further studies are needed to confirm the findings and examine the underlying mechanisms.
Insights
Exposure to fine particulate matter (PM2.5) and its components during pregnancy is linked to gestational diabetes mellitus (GDM). Ammonium and organic matter during the second trimester showed the strongest associations with GDM risk.
Area of Science:
- Environmental Health
- Reproductive Health
- Epidemiology
Background:
- Fine particulate matter (PM2.5) is a complex air pollutant with varying chemical compositions.
- While PM2.5 exposure is linked to gestational diabetes mellitus (GDM), the impact of specific PM2.5 components on GDM risk remains unclear.
- Understanding these relationships is crucial for public health interventions.
Purpose of the Study:
- To investigate the association between PM2.5 components and GDM.
- To identify critical exposure windows during pregnancy for PM2.5 and its constituents.
- To differentiate the effects of various PM2.5 chemical components on GDM development.
Main Methods:
- Utilized Florida Vital Statistics Birth Records from 2005-2015.
- Employed a validated geoscience model to estimate individual pregnancy exposures to PM2.5 and its components (sulfate, ammonium, nitrate, organic matter, black carbon, mineral dust, sea salt).
- Applied distributed lag models to analyze associations and pinpoint critical exposure periods.
Main Results:
- A total of 2,078,669 pregnancies were analyzed.
- Positive associations were found between PM2.5 exposure and GDM, particularly during the second trimester.
- Specific components like ammonium (NH4+), organic matter (OM), and black carbon (BC) showed positive associations, with peak effects between 21-24 weeks of gestation. Mineral dust (DUST) and sea salt (SS) exhibited negative associations.
Conclusions:
- PM2.5 components, notably ammonium and organic matter, during the second trimester are associated with increased GDM risk.
- The period between 21-24 weeks of pregnancy appears critical for PM2.5 exposure related to GDM.
- Further research is recommended to validate these findings and elucidate the underlying biological mechanisms.
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