Long-term exposure to fine particulate matter air pollution and type 2 diabetes mellitus in elderly: A cohort study in Hong Kong

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
出处
期刊:Environment International [Elsevier]
卷期号:113: 350-356 被引量:70
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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