DOI: 10.1016/j.atmosenv.2019.117191
论文题名: Air pollutants concentration and variation of blood glucose level among pregnant women in China: A cross-sectional study
作者: Li D. ; Wang J.-B. ; Yu Z.-B. ; Lin H.-B. ; Chen K.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 223 语种: 英语
英文关键词: Blood
; Glucose
; Nitrogen oxides
; Air pollutants
; Ambient air pollution
; Cross-sectional study
; Generalized linear model
; OGTT
; Oral glucose tolerance tests
; Pollution concentration
; Pregnant woman
; Air pollution
; carbon monoxide
; glucose
; nitrogen dioxide
; ozone
; sulfur dioxide
; ambient air
; atmospheric pollution
; blood
; glucose
; health risk
; pregnancy
; risk factor
; womens health
; adult
; air pollution
; ambient air
; body mass
; China
; civil servant
; cross-sectional study
; demography
; educational status
; female
; glucose blood level
; housewife
; human
; major clinical study
; manual labor
; medical information system
; medical record
; obesity
; oral glucose tolerance test
; particulate matter
; physician
; pregnant woman
; prenatal period
; priority journal
; provocation test
; second trimester pregnancy
; socioeconomics
; China
学科: Air pollutants
; GCT
; OGTT
; Pregnant women
中文摘要: Air pollution has been reported to be associated with the risk of type 2 diabetes, but no previous study has investigated the association with changes in blood glucose levels in pregnant women in China. We aimed to examine the associations of air pollution concentration with blood glucose among pregnant women. We identified 37,383 women who were pregnant from hospital records from January 2013 to July 2017. We used generalized linear models to estimate adverse associations of air pollution on the glucose challenge test (GCT) and oral glucose tolerance test (OGTT) blood glucose levels among pregnant women in the second trimester on lag days 1–7, adjusting for a number of demographics, health and socioeconomic covariates. An IQR increase in PM2.5 concentration during the second trimester was associated with 2.09% (7-day lag, 95% CI: 1.62%, 2.57%) higher GCT blood glucose levels; the corresponding figures for PM10, NO2 and CO were 3.99% (7-day lag, 95% CI: 3.28%, 4.71%), 7.40% (6-day lag, 95% CI: 6.41%, 8.39%), and 4.23% (4-day lag, 95% CI: 3.75%, 4.71%), respectively. For PM2.5, PM10 and NO2 concentrations, significant associations were observed among women with older age, overweight/obesity, and lower education level. However, pregnant women with lower BMI were more susceptible to higher CO-related GCT blood glucose levels. Participants who worked as public servants and technicians may be less susceptible to the effects of PM2.5, PM10, NO2 and CO than women with the other three occupations considered. Too much or too little exercise frequency was susceptible to the adverse effects of air pollution in pregnant women (higher blood glucose levels). Our estimates for air pollutants and OGTT were generally consistent with the corresponding β values for GCT blood glucose. In the present study, women had higher blood glucose levels when exposed to higher residential PM2.5, PM10, NO2 and CO during their pregnancy. Women with higher BMI and lower education levels were more susceptible to the adverse effects of ambient air pollution. © 2019 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/161010
Appears in Collections: 气候变化与战略
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作者单位: Department of Epidemiology and Health Statistics, Zhejiang University School of Public Health, NO. 866 Yuhangtang Road, Xihu District, Hangzhou, Zhejiang, China; Research Center for Air Pollution and Health, Zhejiang University, Hangzhou, Zhejiang 310058, China; Center for Disease Control and Prevention of Yinzhou District, Ningbo, Zhejiang 315100, China; Cancer Institute, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
Recommended Citation:
Li D.,Wang J.-B.,Yu Z.-B.,et al. Air pollutants concentration and variation of blood glucose level among pregnant women in China: A cross-sectional study[J]. Atmospheric Environment,2020-01-01,223