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.

Details

Title
Association of physical activity and air pollution exposure with the risk of type 2 diabetes: a large population-based prospective cohort study
Author
Zhi-Hao, Li; Wen-Fang, Zhong; Xi-Ru Zhang; Chung, Vincent CH; Wei-Qi, Song; Chen, Qing; Xiao-Meng, Wang; Qing-Mei Huang; Shen, Dong; Pei-Dong, Zhang; Liu, Dan; Yu-Jie, Zhang; Pei-Liang, Chen; Cheng, Xin; Hai-Lian, Yang; Miao-Chun Cai
Pages
1-12
Section
Research
Publication year
2022
Publication date
2022
Publisher
BioMed Central
e-ISSN
1476069X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2737713117
Copyright
© 2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.