Dataset Information

Physical activity, long-term fine particulate matter exposure and type 2 diabetes incidence: A prospective cohort study.

ABSTRACT:

Background

Despite the adverse effects of ambient fine particulate matter (PM_2.5) on type 2 diabetes and the beneficial role of physical activity (PA), the influence of PM_2.5 on the relationship between PA and type 2 diabetes remains unclear.

Methods

In this prospective study with 71,689 participants, PA was assessed by a questionnaire and was categorized into quartiles for volume and three groups for intensity. Long-term PM_2.5 exposure was calculated using 1-km resolution satellite-based PM_2.5 estimates. PM_2.5 exposure and PA's effect on type 2 diabetes were assessed by cohort-stratified Cox proportional hazards models, individually and in combination.

Results

In 488,166 person-years of follow-up, 5487 incident type 2 diabetes cases were observed. The association between PA and type 2 diabetes was modified by PM_2.5. Compared with the lowest quartile of PA volume, the highest quartile was associated with reduced type 2 diabetes risk in low PM_2.5 stratification (≤65.02 µg/m³) other than in high PM_2.5 stratification (>65.02 µg/m³), with the hazard ratio (HR) of 0.75 (95% confidence interval [CI]: 0.66-0.85) and 1.10 (95% CI: 0.99-1.22), respectively. Similar results were observed for PA intensity. High PM_2.5 exposure combined with the highest PA levels increased the risk of type 2 diabetes the most (HR = 1.79, 95% CI: 1.59-2.01 for PA volume; HR = 1.82, 95% CI: 1.64-2.02 for PA intensity).

Conclusion

PA could reduce type 2 diabetes risk in low-pollution areas, but high PM_2.5 exposure may weaken or even reverse the protective effects of PA. Safety and health benefits of PA should be thoroughly assessed for long-term polluted residents.

SUBMITTER: Li Q

PROVIDER: S-EPMC11252432 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature

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Publications

Physical activity, long-term fine particulate matter exposure and type 2 diabetes incidence: A prospective cohort study.

Li Qian Q Liu Fangchao F Huang Keyong K Liang Fengchao F Shen Chong C Liao Jian J Li Jianxin J Yuan Chenxi C Yang Xueli X Cao Jie J Chen Shufeng S Hu Dongsheng D Huang Jianfeng J Liu Yang Y Lu Xiangfeng X Gu Dongfeng D

Chronic diseases and translational medicine 20240530 3

<h4>Background</h4>Despite the adverse effects of ambient fine particulate matter (PM<sub>2.5</sub>) on type 2 diabetes and the beneficial role of physical activity (PA), the influence of PM<sub>2.5</sub> on the relationship between PA and type 2 diabetes remains unclear.<h4>Methods</h4>In this prospective study with 71,689 participants, PA was assessed by a questionnaire and was categorized into quartiles for volume and three groups for intensity. Long-term PM<sub>2.5</sub> exposure was calcula ...[more]

PMID: 39027196

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Project description:BackgroundThe associations of long-term exposure to air pollutants in the presence of asthmatic symptoms remain inconclusive and the joint effects of air pollutants as a mixture are unclear.ObjectiveWe aimed to investigate the individual and joint associations of long-term exposure to ambient fine particulate matter (PM2.5) and daily 8-hour maximum ozone concentrations (MDA8 O3) in the presence of asthmatic symptoms in Chinese adults.MethodsData were derived from the World Health Organization Study on Global Ageing and Adult Health (WHO SAGE) cohort study among adults aged 50 years or older, which was implemented in 1 municipality and 7 provinces across China during 2007-2018. Annual average MDA8 O3 and PM2.5 at individual residential addresses were estimated by an iterative random forest model and a satellite-based spatiotemporal model, respectively. Participants who were diagnosed with asthma by a doctor or taking asthma-related therapies or experiencing related conditions within the past 12 months were recorded as having asthmatic symptoms. The individual associations of PM2.5 and MDA8 O3 with asthmatic symptoms were estimated by a Cox proportional hazards regression model, and the joint association was estimated by a quantile g-computation model. A series of subgroup analyses was applied to examine the potential modifications of some characteristics. We also calculated the population-attributable fraction (PAF) of asthmatic symptoms attributed to PM2.5 and MDA8 O3.ResultsA total of 8490 adults older than 50 years were included, and the average follow-up duration was 6.9 years. During the follow-up periods, 586 (6.9%) participants reported asthmatic symptoms. Individual effect analyses showed that the risk of asthmatic symptoms was positively associated with MDA8 O3 (hazard ratio [HR] 1.12, 95% CI 1.01-1.24, for per quantile) and PM2.5 (HR 1.18, 95% CI 1.05-1.31, for per quantile). Joint effect analyses showed that per equal quantile increment of MDA8 O3 and PM2.5 was associated with an 18% (HR 1.18, 95% CI 1.05-1.33) increase in the risk of asthmatic symptoms, and PM2.5 contributed more (68%) in the joint effects. The individual PAFs of asthmatic symptoms attributable to PM2.5 and MDA8 O3 were 2.86% (95% CI 0.17%-5.50%) and 4.83% (95% CI 1.42%-7.25%), respectively, while the joint PAF of asthmatic symptoms attributable to exposure mixture was 4.32% (95% CI 1.10%-7.46%). The joint associations were greater in participants with obesity, in urban areas, with lower family income, and who used unclean household cooking fuel.ConclusionsLong-term exposure to PM2.5 and MDA8 O3 may individually and jointly increase the risk of asthmatic symptoms, and the joint effects were smaller than the sum of individual effects. These findings informed the importance of joint associations of long-term exposure to air pollutants with asthma.

Dataset Information

Physical activity, long-term fine particulate matter exposure and type 2 diabetes incidence: A prospective cohort study.

Background

Methods

Results

Conclusion

Publications

Physical activity, long-term fine particulate matter exposure and type 2 diabetes incidence: A prospective cohort study.

Similar Datasets

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