Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China.
Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China.
Sci Total Environ. 2023 Jan 10;855:158596. doi: 10.1016/j.scitotenv.2022.158596. Epub 2022 Sep 8.
Evidence concerning the influence of air pollution on metabolic syndrome (MetS) is still limited. We aimed to investigate whether sustained exposure to air pollutants are associated with increased prevalence of MetS and its individual components.
We conducted a cross-sectional study comprised of 14,097 individuals participated in the first or third survey of the CHARLS. The personal cumulative (3-year averaged) exposure concentrations of nitrogen dioxide (NO), particulate matter (PM) with a diameter of 1.0 μm or less (PM), PM with a diameter of 10 μm or less (PM) and PM with a diameter of 2.5 μm or less (PM) were estimated using a spatiotemporal random forest model at 0.1° × 0.1° spatial resolution based on residential address of each participant provided. We utilized logistic regression models to estimate the associations of the four air pollutants with the prevalence of MetS and its individual components, and performed interaction analyses to evaluate potential effect modifications by gender, health status, age and drinking status.
Sustained exposure to air pollutants is associated with increased prevalence of MetS. For every 10 μg/m increase in NO, PM, PM and PM, the adjusted odds ratio (OR) of MetS was 2.276 (95 % CI: 2.148, 2.412), 1.207 (95 % CI: 1.155, 1.263), 1.027 (95 % CI: 1.006, 1.048) and 1.027 (95 % CI: 0.989, 1.066), respectively. For MetS components, we observed significant associations between NO, PM, PM and central obesity, high blood pressure, elevated fasting glucose and low high-density lipoprotein cholesterol. For example, the adjusted OR of low high-density lipoprotein cholesterol for every 10 μg/m increase in NO was 1.855 (95 % CI: 1.764, 1.952). We also identified that age could significantly modified the association between NO and prevalence of MetS.
Chinese adults sustained exposure to higher concentrations of air pollutants are associated with increased prevalence of MetS and its components.
有关空气污染对代谢综合征(MetS)影响的证据仍然有限。我们旨在研究持续暴露于空气污染物是否与 MetS 及其各个成分的患病率增加有关。
我们进行了一项横断面研究,共纳入了 14097 名参与 CHARLS 第一或第三次调查的个体。基于每个参与者提供的居住地址,使用时空随机森林模型以 0.1°×0.1°的空间分辨率估计了个人累积(3 年平均)的二氧化氮(NO)、直径为 1.0μm 或以下的颗粒物(PM)、直径为 10μm 或以下的颗粒物(PM)和直径为 2.5μm 或以下的颗粒物(PM)暴露浓度。我们利用逻辑回归模型来估计四种空气污染物与 MetS 及其各个成分患病率之间的关联,并进行了交互分析,以评估性别、健康状况、年龄和饮酒状况对潜在效应修饰的影响。
持续暴露于空气污染物与 MetS 患病率的增加有关。NO、PM、PM 和 PM 每增加 10μg/m,MetS 的调整后比值比(OR)分别为 2.276(95%CI:2.148,2.412)、1.207(95%CI:1.155,1.263)、1.027(95%CI:1.006,1.048)和 1.027(95%CI:0.989,1.066)。对于 MetS 成分,我们观察到 NO、PM、PM 和中心性肥胖、高血压、空腹血糖升高和低高密度脂蛋白胆固醇之间存在显著关联。例如,NO 每增加 10μg/m,低高密度脂蛋白胆固醇的调整后 OR 为 1.855(95%CI:1.764,1.952)。我们还发现年龄可以显著改变 NO 与 MetS 患病率之间的关联。
中国成年人持续暴露于较高浓度的空气污染物与 MetS 及其成分的患病率增加有关。