School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong.
Elderly Health Service, Department of Health, Hong Kong.
Environ Int. 2018 Apr;113:350-356. doi: 10.1016/j.envint.2018.01.008. Epub 2018 Feb 1.
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 (PM) 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 PM 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 PM 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/m) increase of PM 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 PM may increase the risk of both prevalence and incidence of type 2 diabetes mellitus in Hong Kong elderly population.
长期暴露于空气污染与糖尿病发生之间的关联证据有限,且结果不一。
本研究旨在评估长期居住环境细颗粒物(PM)暴露与 2 型糖尿病(DM)患病率和发病率的相关性。
这是一项前瞻性队列研究。我们研究了香港老年保健队列的 61447 名参与者,他们于 1998-2001 年入组,并对基线时无 DM 的参与者进行随访,直至 2010 年 12 月 31 日,以确定 2 型 DM 的首次住院情况。基于卫星数据预测每年的平均居住 PM 暴露量。使用逻辑回归和时变 Cox 回归模型,在调整潜在个体和邻里混杂因素后,评估与 PM 相关的 DM 患病率和发病率风险。
本研究共纳入 61447 例现患 DM 参与者,在基线时无 DM 的 53905 例参与者中,我们研究了 2 型 DM 的发病情况。在平均 9.8 年的随访期间,共确定了 806 例 2 型 DM 发病病例。在调整潜在混杂因素后,PM 浓度每增加一个四分位距(3.2μg/m),现患 DM 的比值比(OR)为 1.06(95%置信区间(CI):1.01-1.11),而新发 2 型 DM 的相应风险比(HR)为 1.15(95% CI:1.05-1.25)。
长期暴露于高水平的 PM 可能会增加香港老年人群中 2 型糖尿病的患病率和发病率风险。