Ambient air pollution associated with incidence and dynamic progression of type 2 diabetes: a trajectory analysis of a population-based cohort

被引:43
|
作者
Wu, Yinglin [1 ]
Zhang, Shiyu [1 ]
Qian, Samantha E. [2 ]
Cai, Miao [1 ]
Li, Haitao [3 ]
Wang, Chongjian [4 ]
Zou, Hongtao [1 ]
Chen, Lan [1 ]
Vaughn, Michael G. [5 ]
McMillin, Stephen Edward [5 ]
Lin, Hualiang [1 ]
机构
[1] Sun Yat Sen Univ, Sch Publ Hlth, Dept Epidemiol, Guangzhou 510080, Peoples R China
[2] St Louis Univ, Coll Publ Hlth & Social Justice, St Louis, MO 63104 USA
[3] Shenzhen Univ, Hlth Sci Ctr, Dept Social Med & Hlth Serv Management, Shenzhen 518060, Peoples R China
[4] Zhengzhou Univ, Coll Publ Hlth, Dept Epidemiol & Biostat, Zhengzhou 450001, Peoples R China
[5] St Louis Univ, Coll Publ Hlth & Social Justice, Sch Social Work, St Louis, MO 63103 USA
基金
比尔及梅琳达.盖茨基金会;
关键词
Air pollution; Type; 2; diabetes; Diabetes complication; Diabetes mortality; Multi-state model; LONG-TERM EXPOSURE; BLOOD-PRESSURE; CARDIOVASCULAR-DISEASE; MORTALITY; MELLITUS; BURDEN; PM2.5;
D O I
10.1186/s12916-022-02573-0
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Though the association between air pollution and incident type 2 diabetes (T2D) has been well documented, evidence on the association with development of subsequent diabetes complications and post-diabetes mortality is scarce. We investigate whether air pollution is associated with different progressions and outcomes of T2D. Methods Based on the UK Biobank, 398,993 participants free of diabetes and diabetes-related events at recruitment were included in this analysis. Exposures to particulate matter with a diameter <= 10 mu m (PM10), PM2.5, nitrogen oxides (NOx), and NO2 for each transition stage were estimated at each participant's residential addresses using data from the UK's Department for Environment, Food and Rural Affairs. The outcomes were incident T2D, diabetes complications (diabetic kidney disease, diabetic eye disease, diabetic neuropathy disease, peripheral vascular disease, cardiovascular events, and metabolic events), all-cause mortality, and cause-specific mortality. Multi-state model was used to analyze the impact of air pollution on different progressions of T2D. Cumulative transition probabilities of different stages of T2D under different air pollution levels were estimated. Results During the 12-year follow-up, 13,393 incident T2D patients were identified, of whom, 3791 developed diabetes complications and 1335 died. We observed that air pollution was associated with different progression stages of T2D with different magnitudes. In a multivariate model, the hazard ratios [95% confidence interval (CI)] per interquartile range elevation in PM2.5 were 1.63 (1.59, 1.67) and 1.08 (1.03, 1.13) for transitions from healthy to T2D and from T2D to complications, and 1.50 (1.47, 1.53), 1.49 (1.36, 1.64), and 1.54 (1.35, 1.76) for mortality risk from baseline, T2D, and diabetes complications, respectively. Generally, we observed stronger estimates of four air pollutants on transition from baseline to incident T2D than those on other transitions. Moreover, we found significant associations between four air pollutants and mortality risk due to cancer and cardiovascular diseases from T2D or diabetes complications. The cumulative transition probability was generally higher among those with higher levels of air pollution exposure. Conclusions This study indicates that ambient air pollution exposure may contribute to increased risk of incidence and progressions of T2D, but to diverse extents for different progressions.
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页数:12
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