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

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          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/m 3) other than in high PM 2.5 stratification (>65.02 µg/m 3), 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.

          Abstract

          Exposure‐response relations of physical activity (PA) with type 2 diabetes were stratified by different levels of PM 2.5 exposure. The HRs for type 2 diabetes associated with PA volume (A) and PA intensity (B) were estimated by restricted cubic‐spline regression under low and high levels of PM 2.5. Solid lines represent HRs, and the shaded areas represent 95% confidence intervals. The models were adjusted for age, sex, urbanization, geographical region, education level, smoking status, alcohol drinking, family history of type 2 diabetes, body mass index, and baseline blood glucose level.

          Key points

          • PM 2.5 modifies the association between physical activity (PA) and type 2 diabetes.

          • PA reduces type 2 diabetes risk at lower PM 2.5 stratum but increase at higher strata.

          • The benefits of PA are weakened by the detrimental effects of PM 2.5 exposure.

          • Call for consideration of the joint impact of PA and air pollution on health.

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          Most cited references34

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          The Physical Activity Guidelines for Americans

          Approximately 80% of US adults and adolescents are insufficiently active. Physical activity fosters normal growth and development and can make people feel, function, and sleep better and reduce risk of many chronic diseases.
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            Physical Activity/Exercise and Diabetes: A Position Statement of the American Diabetes Association.

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              Prevalence and control of diabetes in Chinese adults.

              Noncommunicable chronic diseases have become the leading causes of mortality and disease burden worldwide. To investigate the prevalence of diabetes and glycemic control in the Chinese adult population. Using a complex, multistage, probability sampling design, we conducted a cross-sectional survey in a nationally representative sample of 98,658 Chinese adults in 2010. Plasma glucose and hemoglobin A1c levels were measured after at least a 10-hour overnight fast among all study participants, and a 2-hour oral glucose tolerance test was conducted among participants without a self-reported history of diagnosed diabetes. Diabetes and prediabetes were defined according to the 2010 American Diabetes Association criteria; whereas, a hemoglobin A1c level of <7.0% was considered adequate glycemic control. The overall prevalence of diabetes was estimated to be 11.6% (95% CI, 11.3%-11.8%) in the Chinese adult population. The prevalence among men was 12.1% (95% CI, 11.7%-12.5%) and among women was 11.0% (95% CI, 10.7%-11.4%). The prevalence of previously diagnosed diabetes was estimated to be 3.5% (95% CI, 3.4%-3.6%) in the Chinese population: 3.6% (95% CI, 3.4%-3.8%) in men and 3.4% (95% CI, 3.2%-3.5%) in women. The prevalence of undiagnosed diabetes was 8.1% (95% CI, 7.9%-8.3%) in the Chinese population: 8.5% (95% CI, 8.2%-8.8%) in men and 7.7% (95% CI, 7.4%-8.0%) in women. In addition, the prevalence of prediabetes was estimated to be 50.1% (95% CI, 49.7%-50.6%) in Chinese adults: 52.1% (95% CI, 51.5%-52.7%) in men and 48.1% (95% CI, 47.6%-48.7%) in women. The prevalence of diabetes was higher in older age groups, in urban residents, and in persons living in economically developed regions. Among patients with diabetes, only 25.8% (95% CI, 24.9%-26.8%) received treatment for diabetes, and only 39.7% (95% CI, 37.6%-41.8%) of those treated had adequate glycemic control. The estimated prevalence of diabetes among a representative sample of Chinese adults was 11.6% and the prevalence of prediabetes was 50.1%. Projections based on sample weighting suggest this may represent up to 113.9 million Chinese adults with diabetes and 493.4 million with prediabetes. These findings indicate the importance of diabetes as a public health problem in China.
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                Author and article information

                Contributors
                gudongfeng@cashq.ac.cn
                Journal
                Chronic Dis Transl Med
                Chronic Dis Transl Med
                10.1002/(ISSN)2589-0514
                CDT3
                Chronic Diseases and Translational Medicine
                John Wiley and Sons Inc. (Hoboken )
                2095-882X
                2589-0514
                30 May 2024
                September 2024
                : 10
                : 3 ( doiID: 10.1002/cdt3.v10.3 )
                : 205-215
                Affiliations
                [ 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
                Author notes
                [*] [* ] Correspondence Dongfeng Gu, Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.

                Email: gudongfeng@ 123456cashq.ac.cn

                Author information
                http://orcid.org/0000-0003-4088-2338
                http://orcid.org/0000-0002-2781-7825
                Article
                CDT3128
                10.1002/cdt3.128
                11252432
                39027196
                f6967dd2-c23a-45f3-8fd8-0621505686b1
                © 2024 The Authors. Chronic Diseases and Translational Medicine published by John Wiley & Sons, Ltd on behalf of Chinese Medical Association.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 14 May 2024
                : 22 April 2024
                : 14 May 2024
                Page count
                Figures: 2, Tables: 3, Pages: 11, Words: 7334
                Funding
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 82030102
                Award ID: 82373676
                Funded by: National High Level Hospital Clinical Research Funding
                Award ID: 2022‐GSP‐GG‐1
                Award ID: 2022‐GSP‐GG‐2
                Funded by: National Key Research and Development Program of China
                Award ID: 2017YFC0211700
                Award ID: 2018YFE0115300
                Funded by: Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences
                Award ID: 2017‐I2M‐1‐004
                Award ID: 2019‐I2M‐2‐003
                Award ID: 2021‐I2M‐1‐010
                Funded by: Research Unit of Prospective Cohort of Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences
                Award ID: 2019RU038
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                September 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.5 mode:remove_FC converted:17.07.2024

                fine particulate matter,physical activity,type 2 diabetes

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