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

Author:

Li Qian12,Liu Fangchao23,Huang Keyong23,Liang Fengchao4,Shen Chong15,Liao Jian4,Li Jianxin23,Yuan Chenxi12,Yang Xueli6,Cao Jie23,Chen Shufeng23,Hu Dongsheng78,Huang Jianfeng23,Liu Yang9,Lu Xiangfeng23ORCID,Gu Dongfeng1234ORCID

Affiliation:

1. Department of Epidemiology, Center for Global Health, School of Public Health Nanjing Medical University Nanjing Jiangsu China

2. Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

3. Key Laboratory of Cardiovascular Epidemiology Chinese Academy of Medical Sciences Beijing China

4. School of Public Health and Emergency Management Southern University of Science and Technology Shenzhen Guangdong China

5. Research Units of Cohort Study on Cardiovascular Diseases and Cancers Chinese Academy of Medical Sciences Beijing China

6. Tianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental Health, School of Public Health Tianjin Medical University Tianjin China

7. Department of Epidemiology and Health Statistics, College of Public Health Zhengzhou University Zhengzhou Henan China

8. Department of Epidemiology and Health Statistics, School of Public Health Shenzhen University Health Science Center Shenzhen Guangdong China

9. Gangarosa Department of Environmental Health, Rollins School of Public Health Emory University Atlanta Georgia USA

Abstract

AbstractBackgroundDespite the adverse effects of ambient fine particulate matter (PM2.5) on type 2 diabetes and the beneficial role of physical activity (PA), the influence of PM2.5 on the relationship between PA and type 2 diabetes remains unclear.MethodsIn 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 PM2.5 exposure was calculated using 1‐km resolution satellite‐based PM2.5 estimates. PM2.5 exposure and PA's effect on type 2 diabetes were assessed by cohort‐stratified Cox proportional hazards models, individually and in combination.ResultsIn 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 PM2.5. Compared with the lowest quartile of PA volume, the highest quartile was associated with reduced type 2 diabetes risk in low PM2.5 stratification (≤65.02 µg/m3) other than in high PM2.5 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 PM2.5 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).ConclusionPA could reduce type 2 diabetes risk in low‐pollution areas, but high PM2.5 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.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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