School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Environ Pollut. 2022 Dec 15;315:120348. doi: 10.1016/j.envpol.2022.120348. Epub 2022 Oct 3.
The independent associations of air pollution and Physical activity (PA) with metabolic syndrome (MetS) were inconsistent, while the joint associations between PA and air pollution with MetS were still unknown. We aimed to (1) further confirm the independent associations of PA and air pollution; (2) examine whether PA would attenuate the positive associations of air pollutants with MetS. We included 13,418 adults above 45 years old in this study. We defined MetS according to the Joint Interim Societies. The concentration of air pollutants (including fine particulate matter (PM), inhalable particles (PM), ozone (O), nitrogen dioxide (NO), sulfur dioxide (SO), and carbon monoxide (CO)) were estimated by ground-based measurements and satellite remote sensing products. We assessed the level of PA by metabolic equivalent (MET)-hour/week by summing the MET of all activities. We applied logistic regression models with sampling weight to explore the independent and joint associations of PA and air pollutants on MetS. Interaction plots were conducted to exhibit estimates of air pollutants on MetS as a function of PA. We found that all air pollutants were positively associated with the odds of MetS, while PA showed beneficial associations with MetS. The associations of air pollution on MetS decreased accompanied the increase of PA, while the detrimental effects between air pollutants and MetS did not be reversed by PA. In conclusion, PA may attenuate the associations of air pollutants with MetS, although in polluted areas, suggesting that keeping PA might be an effective way to reduce the adverse effects of air pollution with MetS.
空气污染和身体活动(PA)与代谢综合征(MetS)的独立关联结果并不一致,而 PA 与空气污染联合与 MetS 的关联仍不清楚。我们的目的是:(1)进一步确认 PA 和空气污染的独立关联;(2)检验 PA 是否会减弱空气污染物与 MetS 的正相关关系。我们纳入了这项研究中的 13418 名年龄在 45 岁以上的成年人。我们根据联合临时协会定义了 MetS。通过地面测量和卫星遥感产品来估算空气污染物(包括细颗粒物(PM)、可吸入颗粒物(PM)、臭氧(O)、二氧化氮(NO)、二氧化硫(SO)和一氧化碳(CO))的浓度。我们通过代谢当量(MET)-小时/周来评估 PA 水平,通过将所有活动的 MET 相加来计算。我们应用具有抽样权重的逻辑回归模型来探讨 PA 和空气污染物对 MetS 的独立和联合关联。我们进行了交互图分析,以展示空气污染物对 MetS 的估计值作为 PA 的函数。我们发现,所有空气污染物与 MetS 的几率呈正相关,而 PA 与 MetS 呈有益相关。随着 PA 的增加,空气污染对 MetS 的关联减少,而 PA 并没有改变空气污染物与 MetS 之间的有害影响。总之,尽管在污染地区,PA 可能会减弱空气污染物与 MetS 的关联,但这表明保持 PA 可能是减少空气污染对 MetS 不良影响的有效方法。