Long-Term Exposure to Fine Particulate Matter and Fasting Blood Glucose and Diabetes in 20 Million Chinese Women of Reproductive Age

Author:

Shen Yang1,Jiang Lifang2,Xie Xiaoxu3,Meng Xia1,Xu Xianrong4,Dong Jing56,Yang Ying56,Xu Jihong56,Zhang Ya56,Wang Qiaomei7,Shen Haiping7,Zhang Yiping7,Yan Donghai7,Zhou Lu1,Jiang Yixuan1,Chen Renjie1ORCID,Kan Haidong1,Cai Jing1ORCID,He Yuan568,Ma Xu56

Affiliation:

1. 1Key Laboratory of Public Health Safety of the Ministry of Education and National Health Commission Key Laboratory of Health Technology Assessment, School of Public Health, Fudan University, Shanghai, China

2. 2National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, China

3. 3Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China

4. 4School of Public Health, Hangzhou Normal University, Hangzhou, China

5. 5National Research Institute for Family Planning, Beijing, China

6. 6National Human Genetic Resources Center, Beijing, China

7. 7Department of Maternal and Child Health, National Health Commission of the People’s Republic of China, Beijing, China

8. 8Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China

Abstract

OBJECTIVE Evidence of the associations between fine particulate matter (PM2.5) and diabetes risk from women of reproductive age, in whom diabetes may have adverse long-term health effects for both themselves and future generations, remains scarce. We therefore examined the associations of long-term PM2.5 exposure with fasting blood glucose (FBG) level and diabetes risk in women of reproductive age in China. RESEARCH DESIGN AND METHODS This study included 20,076,032 women age 20–49 years participating in the National Free Preconception Health Examination Project in China between 2010 and 2015. PM2.5 was estimated using a satellite-based model. Multivariate linear and logistic regression models were used to examine the associations of PM2.5 exposure with FBG level and diabetes risk, respectively. Diabetes burden attributable to PM2.5 was estimated using attributable fraction (AF) and attributable number. RESULTS PM2.5 showed monotonic relationships with elevated FBG level and diabetes risk. Each interquartile range (27 μg/m3) increase in 3-year average PM2.5 concentration was associated with a 0.078 mmol/L (95% CI 0.077, 0.079) increase in FBG and 18% (95% CI 16%, 19%) higher risk of diabetes. The AF attributed to PM2.5 exposure exceeding 5 μg/m3 was 29.0% (95% CI 27.5%, 30.5%), corresponding to an additional 78.6 thousand (95% CI 74.5, 82.6) diabetes cases. Subgroup analyses showed more pronounced diabetes risks in those who were overweight or obese, age >35 years, less educated, of minority ethnicity, registered as a rural household, and residing in western China. CONCLUSIONS We found long-term PM2.5 exposure was associated with higher diabetes risk in women of reproductive age in China.

Funder

the National Key Research and Development Program of China

the Three-Year Public Health Action Plan of Shanghai

a grant from State Key Laboratory of Resources and Environmental Information System

Henan Key Research and Development Program

Publisher

American Diabetes Association

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