医学
危险系数
四分位间距
混淆
置信区间
优势比
队列研究
入射(几何)
前瞻性队列研究
队列
2型糖尿病
2型糖尿病
比例危险模型
环境卫生
逻辑回归
糖尿病
人口学
内科学
内分泌学
物理
社会学
光学
作者
Hong Qiu,CM Schooling,Shengzhi Sun,Hon Ki Tsang,Yang Yang,Ruby Siu-yin Lee,Chit Ming Wong,Linwei Tian
标识
DOI:10.1016/j.envint.2018.01.008
摘要
Evidence for the link between long-term air pollution exposure and occurrence of diabetes is limited and the results are mixed. We aimed to assess the association of long-term residential exposure to fine particulate matter (PM2.5) with the prevalence and incidence of type 2 diabetes mellitus (DM). This is a prospective cohort study. We studied 61,447 participants of the Chinese Elderly Health Services cohort in Hong Kong enrolled 1998–2001 and followed participants without DM at baseline to 31 December 2010 to ascertain the first hospital admissions for type 2 DM. Yearly mean residential PM2.5 exposure was predicted based on satellite data. Logistic regression and time-varying Cox regression model were used to evaluate the prevalence and incidence risk of DM associated with PM2.5 while adjusting for potential individual and neighborhood confounders. There were 61,447 participants included in the study of prevalent DM, and in 53,905 participants without DM at baseline we studied incident type 2 DM. Over a mean follow-up of 9.8 years, we ascertained 806 incident cases of type 2 DM. After adjusting for potential confounders, the odds ratio (OR) for every interquartile range (3.2 μg/m3) increase of PM2.5 concentration was 1.06 (95% confidence interval (CI): 1.01–1.11) for prevalent DM, while the corresponding hazard ratio (HR) was 1.15 (95% CI: 1.05–1.25) for incident type 2 DM. Long-term exposure to high levels of PM2.5 may increase the risk of both prevalence and incidence of type 2 diabetes mellitus in Hong Kong elderly population.
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