Physical activity, air pollution, and incident long-term conditions: a prospective cohort study.

IF 8.3 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Minshan Huang, Jonathan R Olsen, Stewart G Trost, Carlos Celis-Morales, Jill P Pell, Frederick K Ho
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Abstract

Background: Physical activity (PA) is consistently associated with lower risk of long-term conditions. Preliminary evidence suggested the associations could be modified by air pollution. This study aims to examine whether air pollution levels modify the associations of PA with all-cause mortality and incident cancer, major adverse cardiovascular events (MACE), type 2 diabetes, and chronic obstructive pulmonary disease (COPD).

Methods: A total of 414,644 UK Biobank participants were included in the analyses. PA was self-reported and objectively measured using accelerometers. PA was self-reported with IPAQ and objectively measured using accelerometers. Annual PM2.5, PM10, and NO air pollutant concentrations in 2010 were measured using a European land use regression model. Cox proportional hazard models were used to examine the associations of PA and air pollution with health outcomes. Multiplicative and additive interactions were estimated.

Results: During the study period from 2006 to 2022, 31,765 (7.7%) died, 70,299 (17.0%) had incident cancer, 25,130 (8.5%) had type 2 diabetes, 33,284 (8.0%) had MACE, and 18,844 (4.5%) had COPD. Lower PA was associated with higher risk of all health outcomes. Higher concentration of PM2.5 was associated with all outcomes except for cancer. The associations of self-reported PA with mortality and cancer were stronger in areas with higher air pollution with significant additive and multiplicative interactions. There was no evidence of moderation for objectively measured PA.

Conclusions: In the UK, air pollution should not be a factor inhibiting the promotion of PA.

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体育活动、空气污染和事件长期状况:一项前瞻性队列研究。
背景:体育活动(PA)始终与较低的长期疾病风险相关。初步证据表明,这种关联可能会因空气污染而改变。本研究旨在研究空气污染水平是否会改变PA与全因死亡率和癌症发病率、主要不良心血管事件(MACE)、2型糖尿病和慢性阻塞性肺疾病(COPD)的关系。方法:共有414,644名英国生物银行参与者被纳入分析。PA自我报告,并使用加速度计客观测量。PA用IPAQ自我报告,用加速度计客观测量。采用欧洲土地利用回归模型测量了2010年PM2.5、PM10和NO的年浓度。使用Cox比例风险模型来检验PA和空气污染与健康结果的关系。估计了乘法和加性相互作用。结果:在2006年至2022年的研究期间,31,765人(7.7%)死亡,70,299人(17.0%)患有癌症,25,130人(8.5%)患有2型糖尿病,33,284人(8.0%)患有MACE, 18,844人(4.5%)患有COPD。低PA与所有健康结果的高风险相关。PM2.5浓度升高与除癌症外的所有结果都相关。在空气污染程度较高的地区,自我报告的PA与死亡率和癌症的关联更强,存在显著的加法和乘法相互作用。没有证据表明客观测量的PA有调节作用。结论:在英国,空气污染不应成为抑制PA推广的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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