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  • 标题:Fine particular matter and its constituents in air pollution and gestational diabetes mellitus
  • 本地全文:下载
  • 作者:Guoqi Yu ; Junjie Ao ; Jing Cai
  • 期刊名称:Environment International
  • 印刷版ISSN:0160-4120
  • 电子版ISSN:1873-6750
  • 出版年度:2020
  • 卷号:142
  • 页码:1-9
  • DOI:10.1016/j.envint.2020.105880
  • 语种:English
  • 出版社:Pergamon
  • 摘要:Highlights•This is a retrospective cohort study based on a national multi-center survey. 54,517 pregnant women from 55 hospitals in 24 provinces were included in the final analysis;•A combined geoscience-statistical model was applied to estimate the exposure concentration of PM2.5and its components;•We used a generalized mixed model to estimate the associations, and identified several components with higher risks.•We conducted the model analysis across different exposure windows and found that the second trimester is a relatively sensitive window.AbstractBackgroundAmbient air pollution has been linked to the development of gestational diabetes mellitus (GDM). However, previous studies provided inconsistent findings and no study has examined the effects of complex chemical constituents of the particular matter on GDM, especially in developing countries. Therefore, we aim to investigate the associations of exposure to PM2.5(particular matter ≤ 2.5 μm) and its constituents with GDM, and to identify susceptible exposure window in a large survey in China.MethodsThe China Labor and Delivery Survey was a cross-sectional investigation conducted in 24 provinces in China between 2015 and 2016. A random sample of all deliveries in each participating hospital was selected and detailed obstetric and newborn information was extracted from medical records. Average concentrations of PM2.5and six constituents (organic matter, black carbon, sulfate, nitrate, ammonium and soil dust) were estimated (1 km × 1 km) using a combined geoscience-statistical model. GDM was diagnosed based on an oral glucose tolerance test (OGTT) between 24 to 28 weeks of gestation and according to IADPSG criteria. Generalized linear mixed models were used to adjust for potential confounders.ResultsA total of 54,517 subjects from 55 hospitals were included. The incidence of GDM was 10.8%. An interquartile range (IQR) increase in PM2.5exposure in the 2nd trimester of pregnancy was associated with an increased GDM risk in the single pollutant model, [adjusted odds ratio (aOR) = 1.11 and 95% confidence interval (CI): 1.01–1.22
  • 关键词:Gestational diabetes mellitus;Air pollution;Chemical constituent;Trimester
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