Association of physical activity and air pollution exposure with the risk of type 2 diabetes: a large population-based prospective cohort study

Abstract Background The interplay between physical activity (PA) and air pollution in relation to type 2 diabetes (T2D) remains largely unknown. Based on a large population-based cohort study, this study aimed to examine whether the benefits of PA with respect to the risk of T2D are moderated by exp...

Full description

Bibliographic Details
Main Authors: Zhi-Hao Li, Wen-Fang Zhong, Xi-Ru Zhang, Vincent CH Chung, Wei-Qi Song, Qing Chen, Xiao-Meng Wang, Qing-Mei Huang, Dong Shen, Pei-Dong Zhang, Dan Liu, Yu-Jie Zhang, Pei-Liang Chen, Xin Cheng, Hai-Lian Yang, Miao-Chun Cai, Xiang Gao, Virginia Byers Kraus, Chen Mao
Format: Article
Language:English
Published: BMC 2022-11-01
Series:Environmental Health
Subjects:
Online Access:https://doi.org/10.1186/s12940-022-00922-3
_version_ 1828197894112411648
author Zhi-Hao Li
Wen-Fang Zhong
Xi-Ru Zhang
Vincent CH Chung
Wei-Qi Song
Qing Chen
Xiao-Meng Wang
Qing-Mei Huang
Dong Shen
Pei-Dong Zhang
Dan Liu
Yu-Jie Zhang
Pei-Liang Chen
Xin Cheng
Hai-Lian Yang
Miao-Chun Cai
Xiang Gao
Virginia Byers Kraus
Chen Mao
author_facet Zhi-Hao Li
Wen-Fang Zhong
Xi-Ru Zhang
Vincent CH Chung
Wei-Qi Song
Qing Chen
Xiao-Meng Wang
Qing-Mei Huang
Dong Shen
Pei-Dong Zhang
Dan Liu
Yu-Jie Zhang
Pei-Liang Chen
Xin Cheng
Hai-Lian Yang
Miao-Chun Cai
Xiang Gao
Virginia Byers Kraus
Chen Mao
author_sort Zhi-Hao Li
collection DOAJ
description Abstract Background The interplay between physical activity (PA) and air pollution in relation to type 2 diabetes (T2D) remains largely unknown. Based on a large population-based cohort study, this study aimed to examine whether the benefits of PA with respect to the risk of T2D are moderated by exposure to air pollution. Methods UK Biobank participants (n = 359,153) without diabetes at baseline were included. Information on PA was obtained using the International Physical Activity Questionnaire short form. Exposure to air pollution, including PM2.5, PMcoarse (PM2.5−10), PM10, and NO2, was estimated from land use regression models. Cox regression models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (95% CIs). Results During a median of 8.9 years of follow-up, 13,706 T2D events were recorded. Compared with a low PA level, the HRs for the risk of T2D among individuals with moderate and high PA were 0.82 (95% CI, 0.79–0.86) and 0.73 (95% CI, 0.70–0.77), respectively. Compared with low levels of air pollution, the HRs for risk of T2D for high levels of air pollution (PM2.5, PMcoarse, PM10, and NO2) were 1.19 (1.14–1.24), 1.06 (1.02–1.11), 1.13 (1.08–1.18), and 1.19 (1.14–1.24), respectively. There was no effect modification of the associations between PA and T2D by air pollution (all P-interactions > 0.05). The inverse associations between PA and T2D in each air pollution stratum were generally consistent (all P for trend < 0.05). Conclusion A higher PA and lower air pollution level were independently associated with a lower risk of T2D. The beneficial effects of PA on T2D generally remained stable among participants exposed to different levels of air pollution. Further studies are needed to replicate our findings in moderately and severely polluted areas.
first_indexed 2024-04-12T10:27:06Z
format Article
id doaj.art-8bfe635e24814bfaa74626348c3107de
institution Directory Open Access Journal
issn 1476-069X
language English
last_indexed 2024-04-12T10:27:06Z
publishDate 2022-11-01
publisher BMC
record_format Article
series Environmental Health
spelling doaj.art-8bfe635e24814bfaa74626348c3107de2022-12-22T03:36:56ZengBMCEnvironmental Health1476-069X2022-11-0121111210.1186/s12940-022-00922-3Association of physical activity and air pollution exposure with the risk of type 2 diabetes: a large population-based prospective cohort studyZhi-Hao Li0Wen-Fang Zhong1Xi-Ru Zhang2Vincent CH Chung3Wei-Qi Song4Qing Chen5Xiao-Meng Wang6Qing-Mei Huang7Dong Shen8Pei-Dong Zhang9Dan Liu10Yu-Jie Zhang11Pei-Liang Chen12Xin Cheng13Hai-Lian Yang14Miao-Chun Cai15Xiang Gao16Virginia Byers Kraus17Chen Mao18Department of Epidemiology, School of Public Health, Southern Medical UniversityDepartment of Epidemiology, School of Public Health, Southern Medical UniversityDepartment of Epidemiology, School of Public Health, Southern Medical UniversityJockey Club School of Public Health and Primary Care, The Chinese University of Hong KongDepartment of Epidemiology, School of Public Health, Southern Medical UniversityDepartment of Epidemiology, School of Public Health, Southern Medical UniversityDepartment of Epidemiology, School of Public Health, Southern Medical UniversityDepartment of Epidemiology, School of Public Health, Southern Medical UniversityDepartment of Epidemiology, School of Public Health, Southern Medical UniversityDepartment of Epidemiology, School of Public Health, Southern Medical UniversityDepartment of Epidemiology, School of Public Health, Southern Medical UniversityDepartment of Epidemiology, School of Public Health, Southern Medical UniversityDepartment of Epidemiology, School of Public Health, Southern Medical UniversityDepartment of Epidemiology, School of Public Health, Southern Medical UniversityDepartment of Epidemiology, School of Public Health, Southern Medical UniversityDepartment of Epidemiology, School of Public Health, Southern Medical UniversityDepartment of Nutritional Sciences, The Pennsylvania State UniversityDuke Molecular Physiology Institute, Division of Rheumatology, Department of Medicine, Duke University School of MedicineDepartment of Epidemiology, School of Public Health, Southern Medical UniversityAbstract Background The interplay between physical activity (PA) and air pollution in relation to type 2 diabetes (T2D) remains largely unknown. Based on a large population-based cohort study, this study aimed to examine whether the benefits of PA with respect to the risk of T2D are moderated by exposure to air pollution. Methods UK Biobank participants (n = 359,153) without diabetes at baseline were included. Information on PA was obtained using the International Physical Activity Questionnaire short form. Exposure to air pollution, including PM2.5, PMcoarse (PM2.5−10), PM10, and NO2, was estimated from land use regression models. Cox regression models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (95% CIs). Results During a median of 8.9 years of follow-up, 13,706 T2D events were recorded. Compared with a low PA level, the HRs for the risk of T2D among individuals with moderate and high PA were 0.82 (95% CI, 0.79–0.86) and 0.73 (95% CI, 0.70–0.77), respectively. Compared with low levels of air pollution, the HRs for risk of T2D for high levels of air pollution (PM2.5, PMcoarse, PM10, and NO2) were 1.19 (1.14–1.24), 1.06 (1.02–1.11), 1.13 (1.08–1.18), and 1.19 (1.14–1.24), respectively. There was no effect modification of the associations between PA and T2D by air pollution (all P-interactions > 0.05). The inverse associations between PA and T2D in each air pollution stratum were generally consistent (all P for trend < 0.05). Conclusion A higher PA and lower air pollution level were independently associated with a lower risk of T2D. The beneficial effects of PA on T2D generally remained stable among participants exposed to different levels of air pollution. Further studies are needed to replicate our findings in moderately and severely polluted areas.https://doi.org/10.1186/s12940-022-00922-3Physical activityAir pollutionType 2 diabetesCohort study
spellingShingle Zhi-Hao Li
Wen-Fang Zhong
Xi-Ru Zhang
Vincent CH Chung
Wei-Qi Song
Qing Chen
Xiao-Meng Wang
Qing-Mei Huang
Dong Shen
Pei-Dong Zhang
Dan Liu
Yu-Jie Zhang
Pei-Liang Chen
Xin Cheng
Hai-Lian Yang
Miao-Chun Cai
Xiang Gao
Virginia Byers Kraus
Chen Mao
Association of physical activity and air pollution exposure with the risk of type 2 diabetes: a large population-based prospective cohort study
Environmental Health
Physical activity
Air pollution
Type 2 diabetes
Cohort study
title Association of physical activity and air pollution exposure with the risk of type 2 diabetes: a large population-based prospective cohort study
title_full Association of physical activity and air pollution exposure with the risk of type 2 diabetes: a large population-based prospective cohort study
title_fullStr Association of physical activity and air pollution exposure with the risk of type 2 diabetes: a large population-based prospective cohort study
title_full_unstemmed Association of physical activity and air pollution exposure with the risk of type 2 diabetes: a large population-based prospective cohort study
title_short Association of physical activity and air pollution exposure with the risk of type 2 diabetes: a large population-based prospective cohort study
title_sort association of physical activity and air pollution exposure with the risk of type 2 diabetes a large population based prospective cohort study
topic Physical activity
Air pollution
Type 2 diabetes
Cohort study
url https://doi.org/10.1186/s12940-022-00922-3
work_keys_str_mv AT zhihaoli associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT wenfangzhong associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT xiruzhang associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT vincentchchung associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT weiqisong associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT qingchen associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT xiaomengwang associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT qingmeihuang associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT dongshen associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT peidongzhang associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT danliu associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT yujiezhang associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT peiliangchen associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT xincheng associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT hailianyang associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT miaochuncai associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT xianggao associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT virginiabyerskraus associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy
AT chenmao associationofphysicalactivityandairpollutionexposurewiththeriskoftype2diabetesalargepopulationbasedprospectivecohortstudy