TY - JOUR
T1 - Adverse associations of different obesity measures and the interactions with long-term exposure to air pollutants with prevalent type 2 diabetes mellitus
T2 - The Henan Rural Cohort study
AU - Kang, Ning
AU - Chen, Gongbo
AU - Tu, Runqi
AU - Liao, Wei
AU - Liu, Xiaotian
AU - Dong, Xiaokang
AU - Li, Ruiying
AU - Pan, Mingming
AU - Yin, Shanshan
AU - Hu, Kai
AU - Mao, Zhenxing
AU - Huo, Wenqian
AU - Guo, Yuming
AU - Li, Shanshan
AU - Hou, Jian
AU - Wang, Chongjian
N1 - Funding Information:
This research was supported by the Foundation of National Key Program of Research and Development of China (Grant NO: 2016YFC0900803 ), Science and Technology Innovation Team Support Plan of Colleges and Universities in Henan Province (Grant NO: 21IRTSTHN029 ), the open project of Key Laboratory of Environment and health, ministry of Education ( 2020GWFJJ01 ), China Postdoctoral Science Foundation (Grant NO: 2019M662548 ), National Natural Science Foundation of China (Grant NO: 81930092 ), Foundation of Medical Science and Technology of Henan province (NO: 201702367 , 2017T02098 ), Discipline Key Research and Development Program of Zhengzhou University (Grant NO: XKZDQY202008 , XKZDQY202002 ). The funders had no role in the study design, data collection, and analysis, decision to publish, or preparation of the manuscript.
Publisher Copyright:
© 2021
PY - 2022/5/1
Y1 - 2022/5/1
N2 - Background: Obesity and ambient air pollution are independent risk factors of type 2 diabetes mellitus (T2DM), however, the evidence regarding their joint associations on T2DM was sparsely studied in low-middle income countries. Methods: A total of 38,841 participants were selected from Henan Rural Cohort study which was carried out during 2015–2017. Obesity was identified by body mass index (BMI), WC (waist circumstance), WHR (waist-to-hip ratio), WHtR (waist-to-height ratio), BFP (body fat percent), and VFI (visceral fat index). Three-year averaged-concentrations of NO2, PM1, PM2.5, and PM10 were assessed by using the method of spatiotemporal model incorporated into the satellites data. The independent associations of obesity indicators and exposure to air pollutants on fasting blood glucose (FBG) and T2DM were assessed by generalized linear and logistic regression model, respectively, and their interaction associations on T2DM were quantified by using relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (S). Results: Positive associations of six obesity measures and four air pollutants with FBG levels and prevalent T2DM were observed. Obese participants measured by BMI plus high exposure to NO2, PM1, PM2.5 and PM10 were related to a 2.96-fold (2.66–3.29), 2.87-fold (2.58–3.20), 2.98-fold (2.67–3.32) and 3.01-fold (2.70–3.35) increased risk for prevalent T2DM, respectively; similarity of joint associations of the other obesity measures and air pollutants on T2DM were observed. The additive associations of different obesity measures and air pollutants with prevalent T2DM were further found. Conclusions: The synergistic associations of obesity and air pollutants on FBG levels and prevalent T2DM were observed, indicating that obese participants were at high risk for prevalent T2DM in highly polluted rural regions.
AB - Background: Obesity and ambient air pollution are independent risk factors of type 2 diabetes mellitus (T2DM), however, the evidence regarding their joint associations on T2DM was sparsely studied in low-middle income countries. Methods: A total of 38,841 participants were selected from Henan Rural Cohort study which was carried out during 2015–2017. Obesity was identified by body mass index (BMI), WC (waist circumstance), WHR (waist-to-hip ratio), WHtR (waist-to-height ratio), BFP (body fat percent), and VFI (visceral fat index). Three-year averaged-concentrations of NO2, PM1, PM2.5, and PM10 were assessed by using the method of spatiotemporal model incorporated into the satellites data. The independent associations of obesity indicators and exposure to air pollutants on fasting blood glucose (FBG) and T2DM were assessed by generalized linear and logistic regression model, respectively, and their interaction associations on T2DM were quantified by using relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (S). Results: Positive associations of six obesity measures and four air pollutants with FBG levels and prevalent T2DM were observed. Obese participants measured by BMI plus high exposure to NO2, PM1, PM2.5 and PM10 were related to a 2.96-fold (2.66–3.29), 2.87-fold (2.58–3.20), 2.98-fold (2.67–3.32) and 3.01-fold (2.70–3.35) increased risk for prevalent T2DM, respectively; similarity of joint associations of the other obesity measures and air pollutants on T2DM were observed. The additive associations of different obesity measures and air pollutants with prevalent T2DM were further found. Conclusions: The synergistic associations of obesity and air pollutants on FBG levels and prevalent T2DM were observed, indicating that obese participants were at high risk for prevalent T2DM in highly polluted rural regions.
KW - Air pollutants
KW - Obesity
KW - Rural population
KW - Synergistic association
KW - Type 2 diabetes mellitus
UR - http://www.scopus.com/inward/record.url?scp=85122242502&partnerID=8YFLogxK
U2 - 10.1016/j.envres.2021.112640
DO - 10.1016/j.envres.2021.112640
M3 - Article
C2 - 34990613
AN - SCOPUS:85122242502
VL - 207
JO - Environmental Research
JF - Environmental Research
SN - 0013-9351
M1 - 112640
ER -