Fine particular matter and its constituents in air pollution and gestational diabetes mellitus
Background: Ambient 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 count...
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Elsevier
2020-09-01
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Series: | Environment International |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412020318353 |
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Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Guoqi Yu Junjie Ao Jing Cai Zhongcheng Luo Randall Martin Aaron van Donkelaar Haidong Kan Jun Zhang |
spellingShingle |
Guoqi Yu Junjie Ao Jing Cai Zhongcheng Luo Randall Martin Aaron van Donkelaar Haidong Kan Jun Zhang Fine particular matter and its constituents in air pollution and gestational diabetes mellitus Environment International Gestational diabetes mellitus Air pollution Chemical constituent Trimester |
author_facet |
Guoqi Yu Junjie Ao Jing Cai Zhongcheng Luo Randall Martin Aaron van Donkelaar Haidong Kan Jun Zhang |
author_sort |
Guoqi Yu |
title |
Fine particular matter and its constituents in air pollution and gestational diabetes mellitus |
title_short |
Fine particular matter and its constituents in air pollution and gestational diabetes mellitus |
title_full |
Fine particular matter and its constituents in air pollution and gestational diabetes mellitus |
title_fullStr |
Fine particular matter and its constituents in air pollution and gestational diabetes mellitus |
title_full_unstemmed |
Fine particular matter and its constituents in air pollution and gestational diabetes mellitus |
title_sort |
fine particular matter and its constituents in air pollution and gestational diabetes mellitus |
publisher |
Elsevier |
series |
Environment International |
issn |
0160-4120 |
publishDate |
2020-09-01 |
description |
Background: Ambient 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. Methods: The 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 PM2.5 and 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. Results: A total of 54,517 subjects from 55 hospitals were included. The incidence of GDM was 10.8%. An interquartile range (IQR) increase in PM2.5 exposure 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]. Exposure to organic matter (aOR = 1.14; 95%CI: 1.05–1.23), black carbon (aOR = 1.15; 95%CI: 1.07–1.25) and nitrate (aOR = 1.13; 95%CI: 1.02–1.24) during 2nd trimester were associated with increased risks of GDM. Associations between constituents and GDM were robust after controlling for total PM2.5 mass and accounting for multi-collinearity. Conclusions: Exposure to PM2.5 in 2nd trimester of pregnancy was associated with an increased risk of GDM. Organic matter, black carbon and nitrate may be the main culprits for the association. |
topic |
Gestational diabetes mellitus Air pollution Chemical constituent Trimester |
url |
http://www.sciencedirect.com/science/article/pii/S0160412020318353 |
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doaj-23674436f2eb4aa88d87db578064f3a52020-11-25T02:59:48ZengElsevierEnvironment International0160-41202020-09-01142105880Fine particular matter and its constituents in air pollution and gestational diabetes mellitusGuoqi Yu0Junjie Ao1Jing Cai2Zhongcheng Luo3Randall Martin4Aaron van Donkelaar5Haidong Kan6Jun Zhang7Ministry of Education-Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, ChinaMinistry of Education-Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, ChinaSchool of Public Health, Fudan University, Shanghai 200032, ChinaMinistry of Education-Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, ChinaDepartment of Physics and Atmospheric Science, Dalhousie University, 6300 Coburg Road, Halifax, Nova Scotia B3H 3J5, CanadaDepartment of Physics and Atmospheric Science, Dalhousie University, 6300 Coburg Road, Halifax, Nova Scotia B3H 3J5, CanadaSchool of Public Health, Fudan University, Shanghai 200032, China; Corresponding authors at: Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China (J. Zhang). Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China (H.D. Kan).Ministry of Education-Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China; School of Public Health, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China; Corresponding authors at: Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China (J. Zhang). Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China (H.D. Kan).Background: Ambient 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. Methods: The 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 PM2.5 and 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. Results: A total of 54,517 subjects from 55 hospitals were included. The incidence of GDM was 10.8%. An interquartile range (IQR) increase in PM2.5 exposure 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]. Exposure to organic matter (aOR = 1.14; 95%CI: 1.05–1.23), black carbon (aOR = 1.15; 95%CI: 1.07–1.25) and nitrate (aOR = 1.13; 95%CI: 1.02–1.24) during 2nd trimester were associated with increased risks of GDM. Associations between constituents and GDM were robust after controlling for total PM2.5 mass and accounting for multi-collinearity. Conclusions: Exposure to PM2.5 in 2nd trimester of pregnancy was associated with an increased risk of GDM. Organic matter, black carbon and nitrate may be the main culprits for the association.http://www.sciencedirect.com/science/article/pii/S0160412020318353Gestational diabetes mellitusAir pollutionChemical constituentTrimester |