The association between air pollution and type 2 diabetes in a large cross-sectional study in Leicester: The CHAMPIONS Study

被引:29
|
作者
O'Donovan, Gary [1 ]
Chudasama, Yogini [1 ]
Grocock, Samuel [2 ]
Leigh, Roland [2 ]
Dalton, Alice M. [3 ]
Gray, Laura J. [4 ]
Yates, Thomas [1 ]
Edwardson, Charlotte [1 ]
Hill, Sian [1 ]
Henson, Joe [1 ]
Webb, David [1 ]
Khunti, Kamlesh [1 ]
Davies, Melanie J. [1 ]
Jones, Andrew P. [3 ]
Bodicoat, Danielle H. [1 ]
Wells, Alan [2 ]
机构
[1] Univ Leicester, Leicester Gen Hosp, Leicester Diabet Ctr, Diabet Res Ctr, Leicester LE5 4PW, Leics, England
[2] Univ Leicester, Earth Observat Sci Grp, Space Res Ctr, Leicester LE1 7RH, Leics, England
[3] Univ East Anglia, Norwich Med Sch, Norwich NR4 7TJ, Norfolk, England
[4] Univ Leicester, Dept Hlth Sci, Leicester Diabet Ctr, Leicester Gen Hosp, Leicester LE5 4PW, Leics, England
基金
美国国家卫生研究院;
关键词
Air pollutants; Diabetes mellitus; type; 2; Cross-sectional studies; RANDOMIZED CONTROLLED-TRIAL; LONG-TERM EXPOSURE; RISK; MELLITUS; INTERVENTION; NEIGHBORHOOD; PROTOCOL; PROGRAM; PEOPLE;
D O I
10.1016/j.envint.2017.03.027
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Observational evidence suggests there is an association between air pollution and type 2 diabetes; however, there is high risk of bias. Objective: To investigate the association between air pollution and type 2 diabetes, while reducing bias due to exposure assessment, outcome assessment, and confounder assessment. Methods: Data were collected from 10,443 participants in three diabetes screening studies in Leicestershire, UK. Exposure assessment included standard, prevailing estimates of outdoor nitrogen dioxide and particulate matter concentrations in a 1 x1 km area at the participant's home postcode. Three-year exposure was investigated in the primary analysis and one-year exposure in a sensitivity analysis. Outcome assessment included the oral glucose tolerance test for type 2 diabetes. Confounder assessment included demographic factors (age, sex, ethnicity, smoking, area social deprivation, urban or rural location), lifestyle factors (body mass index and physical activity), and neighbourhood green space. Results: Nitrogen dioxide and particulate matter concentrations were associated with type 2 diabetes in unadjusted models. There was no statistically significant association between nitrogen dioxide concentration and type 2 diabetes after adjustment for demographic factors (odds: 1.08; 95% CI: 0.91, 1.29). The odds of type 2 diabetes was 1.10 (95% CI: 0.92, 1.32) after further adjustment for lifestyle factors and 0.91 (95% CI: 0.72, 1.16) after yet further adjustment for neighbourhood green space. The associations between particulate matter concentrations and type 2 diabetes were also explained away by demographic factors. There was no evidence of exposure definition bias. Conclusions: Demographic factors seemed to explain the association between air pollution and type 2 diabetes in this cross-sectional study. High-quality longitudinal studies are needed to improve our understanding of the association.
引用
收藏
页码:41 / 47
页数:7
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