Benefits of active commuting on cardiovascular health modified by ambient fine particulate matter in China: A prospective cohort study.
Benefits of active commuting on cardiovascular health modified by ambient fine particulate matter in China: A prospective cohort study.
复制标题
DOI：
10.1016/j.ecoenv.2021.112641
复制
发表时间：
2021-08-27
影响因子：
6.8
通讯作者：
Gu, Dongfeng
中科院分区：
文献类型：
--
作者：
Lin, Yuan;Yang, Xueli;Liang, Fengchao;Huang, Keyong;Liu, Fangchao;Li, Jianxin;Xiao, Qingyang;Chen, Jichun;Liu, Xiaoqing;Cao, Jie;Chen, Shufeng;Shen, Chong;Yu, Ling;Lu, Fanghong;Wu, Xianping;Zhao, Liancheng;Wu, Xigui;Li, Ying;Hu, Dongsheng;Huang, Jianfeng;Lu, Xiangfeng;Liu, Yang;Gu, Dongfeng
积极的通勤作为日常身体活动的贡献者，对心血管健康有益，但会导致更多暴露于环境空气污染的机会。本研究旨在调查中国普通成年人积极通勤与心血管疾病（CVD）、死亡率和预期寿命之间的关系，并进一步评估细颗粒物（PM2. 5）暴露对这些关系的影响。我们纳入了来自中国动脉粥样硬化心血管疾病风险预测项目的三个大型队列的76，176名无心血管疾病的中国成年人。采用统一的调查问卷收集通勤方式和体力活动的相关信息。基于卫星的PM2.5浓度在1公里的空间分辨率被用来估计参与者的PM2.5暴露。使用考克斯比例风险回归模型估计CVD发病率、死亡率和全因死亡率的风险比（HR）和95%置信区间（CI）。研究了通勤方式与PM2.5水平的交互作用项，探讨了通勤方式对PM2.5水平的潜在影响。在448，499人年的随访中，记录了2230例CVD事件和2777例全因死亡。与非活动通勤者相比，步行通勤者CVD发病率和全因死亡率的多变量校正HR（95%CI）分别为0.95（0.85 - 1.05）和0.79（0.72 - 0.87）。骑自行车上下班者的相应HR（95% CI）为0.71（0.62 - 0.82）和0.67（0.59 - 0.76）。在PM2.5浓度较低的情况下，45岁以上的活跃通勤者估计比非活跃通勤者有更多的无CVD年数和预期寿命。然而，这些积极通勤的有益影响被长期暴露于高PM2.5浓度所缓解或抵消。通勤模式和PM2.5水平的显著乘法交互作用在全因死亡率中显示，在暴露于较低水平的PM2.5的骑自行车参与者中观察到的风险最低。在PM2.5水平较低的环境中，积极通勤与中国成年人CVD风险降低、全因死亡率降低和预期寿命延长相关。鼓励成年人积极通勤，并制定严格的环境PM2.5污染控制策略，以预防心血管疾病和延长预期寿命将是有价值的。
Active commuting as a contributor to daily physical activity is beneficial for cardiovascular health, but leads to more chances of exposure to ambient air pollution. This study aimed to investigate associations between active commuting to work with cardiovascular disease (CVD), mortality and life expectancy among general Chinese adults, and to further evaluate the modification effect of fine particulate matter (PM2.5) exposure on these associations. We included 76,176 Chinese adults without CVD from three large cohorts of the Prediction for Atherosclerotic Cardiovascular Disease Risk in China project. Information about commuting mode and physical activity were collected by unified questionnaire. Satellite-based PM2.5 concentrations at 1-km spatial resolution was used for estimating PM2.5 exposure of participants. Hazard ratios (HRs) and 95% confidence intervals (CIs) for CVD incidence, mortality and all-cause mortality were estimated using Cox proportional hazards regression models. Multiplicative interaction term of commuting mode and PM2.5 level was tested to investigate potential effect modification. During 448,499 person-years of follow-up, 2230 CVD events and 2777 all-cause deaths were recorded. Compared with the non-active commuters, the multivariable-adjusted HRs (95% CIs) of CVD incidence and all-cause mortality were 0.95(0.85−1.05) and 0.79(0.72−0.87) for walking commuters, respectively. Corresponding HRs (95% CIs) for cycling commuters were 0.71(0.62−0.82) and 0.67(0.59−0.76). Active commuters over 45 years old were estimated to have more CVD-free years and life expectancy than non-active commuters under lower PM2.5 concentration. However, these beneficial effects of active commuting were alleviated or counteracted by long-term exposure to high PM2.5 concentration. Significant multiplicative interaction of commuting mode and PM2.5 level was showed in all-cause mortality, with the lowest risk observed in cycling participants exposed to lower level of PM2.5. Active commuting was associated with lower risk of CVD, all-cause mortality, and longer life expectancy among Chinese adults under ambient settings with lower PM2.5 level. It will be valuable to encourage active commuting among adults and develop stringent strategies on ambient PM2.5 pollution control for prevention of CVD and prolongation of life expectancy.
登录
查看更多内容
DOI：
10.1136/bmj.j2250
发表时间：
2017-05-25
期刊：
BMJ (Clinical research ed.)
影响因子：
--
作者：
Dehbi HM;Royston P;Hackshaw A
通讯作者：
Hackshaw A
影响因子：
10.4
作者：
Andersen ZJ;de Nazelle A;Mendez MA;Garcia-Aymerich J;Hertel O;Tjønneland A;Overvad K;Raaschou-Nielsen O;Nieuwenhuijsen MJ
通讯作者：
Nieuwenhuijsen MJ
DOI：
10.1111/j.1600-0838.2007.00739.x
发表时间：
2009-04-01
影响因子：
4.1
作者：
Makinen, T.;Borodulin, K.;Prattala, R.
通讯作者：
Prattala, R.
影响因子：
5.4
作者：
Kubesch NJ;Therming Jørgensen J;Hoffmann B;Loft S;Nieuwenhuijsen MJ;Raaschou-Nielsen O;Pedersen M;Hertel O;Overvad K;Tjønneland A;Prescot E;Andersen ZJ
通讯作者：
Andersen ZJ
影响因子：
37.8
作者：
Guo, Cui;Zeng, Yiqian;Lao, Xiang Qian
通讯作者：
Lao, Xiang Qian