Hong Qiu1, C Mary Schooling1, Shengzhi Sun1, Hilda Tsang1, Yang Yang1, Ruby Siu-Yin Lee2, Chit-Ming Wong1, Linwei Tian3. 1. School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong. 2. Elderly Health Service, Department of Health, Hong Kong. 3. School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong. Electronic address: linweit@hku.hk.
Abstract
BACKGROUND: Evidence for the link between long-term air pollution exposure and occurrence of diabetes is limited and the results are mixed. OBJECTIVES: 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). METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
BACKGROUND: Evidence for the link between long-term air pollution exposure and occurrence of diabetes is limited and the results are mixed. OBJECTIVES: 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). METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
Authors: Mei Yang; Han Cheng; Chaowei Shen; Jie Liu; Hongkai Zhang; Jiyu Cao; Rui Ding Journal: Environ Sci Pollut Res Int Date: 2019-12-06 Impact factor: 4.223
Authors: Ashley M Hernandez; David Gimeno Ruiz de Porras; Dritana Marko; Kristina W Whitworth Journal: J Occup Environ Med Date: 2018-07 Impact factor: 2.162