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个体及联合暴露于空气污染物与多种慢性疾病模式。

Individual and joint exposure to air pollutants and patterns of multiple chronic conditions.

机构信息

Department of Information Technology, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.

Department of Geriatric, Center for Regeneration and Aging Medicine,the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.

出版信息

Sci Rep. 2024 Sep 30;14(1):22733. doi: 10.1038/s41598-024-73485-7.

Abstract

Existing research on the detrimental effects of air pollution and its mixture on multiple chronic conditions (MCC) is not yet fully recognized. Our objective was to examine if individual and joint exposure to air pollution is associated with the incidence and patterns of MCC. Totally 10,231 CHARLS 2015 participants aged over 45 years and 1,938 without MCC were followed up in 2018 and 2020. Residential-levelcumulative personal exposure concentrations of PM, PM, PM, CO, O, NO, SO, NO, Cl, NH, and SO at the residential level were determined utilizing a spatio-temporal random forest model with a spatial resolution of 0.1° × 0.1°. In the cross-sectional and longitudinal research, logistic regression, cox regression analysis, and quantile g-computation were utilized to estimate the single and joint effect with MCC and its patterns, respectively. Interaction analyses and stratified analyses were also performed. A correlation was observed between the prevalence of cardiovascular illnesses and the presence of all 11 major air pollutants. PM, PM, NH, NO, CO, and SO are associated with an increased frequency of respiratory disorders. An increase of PM, PM, PM, NO, and SO (a 10 µg/m rise), CO (a 0.1 mg/m3 rise), and PMCs (Cl, NH, NO, and SO) (a 1 µg/m rise) corresponded to the HRs (95% CI) for developing MCC of 1.194 (95% CI: 1.043, 1.367), 1.362 (95% CI: 1.073, 1.728), 1.115 (95% CI: 1.026, 1.212), 1.443 (95% CI: 1.151, 1.808), 3.175 (95% CI: 2.291, 4.401), 1.272 (95% CI: 1.149,1.410), 1.382 (95% CI: 1.011, 1.888), 1.107 (95% CI: 1.003, 1.222), 1.035 (95% CI: 0.984, 1.088), and 1.122 (95% CI: 1.086, 1.160), respectively. SO was the predominant contributor to the combined effect (HR: 2.083, 95% CI: 1.659-2.508). Gender, age, drinking, and health status could modify the effects of air pollutants on MCC patterns. Long-term exposure to air pollution is correlated to the incidence and patterns of MCC in middle-aged and elderly Chinese individuals. Preventive methods are essential to safeguarding those susceptible to MCC.

摘要

现有研究表明,空气污染及其混合物对多种慢性疾病(MCC)的有害影响尚未得到充分认识。我们的目的是研究个体和联合暴露于空气污染是否与 MCC 的发生和模式有关。共有 10231 名年龄在 45 岁以上且无 MCC 的 CHARLS 2015 参与者在 2018 年和 2020 年进行了随访。利用时空随机森林模型,以 0.1°×0.1°的空间分辨率确定了居民个人累积的 PM、PM、PM、CO、O、NO、SO、NO、Cl、NH 和 SO 浓度。在横断面和纵向研究中,分别利用逻辑回归、cox 回归分析和分位数 g 计算来估计与 MCC 及其模式相关的单一和联合作用。还进行了交互分析和分层分析。心血管疾病的患病率与 11 种主要空气污染物的存在之间存在相关性。PM、PM、NH、NO、CO 和 SO 与呼吸道疾病的发生频率增加有关。PM、PM、PM、NO 和 SO(每增加 10µg/m)、CO(每增加 0.1mg/m3)和 PMCs(Cl、NH、NO 和 SO)(每增加 1µg/m)与发生 MCC 的 HR(95%CI)分别为 1.194(95%CI:1.043,1.367)、1.362(95%CI:1.073,1.728)、1.115(95%CI:1.026,1.212)、1.443(95%CI:1.151,1.808)、3.175(95%CI:2.291,4.401)、1.272(95%CI:1.149,1.410)、1.382(95%CI:1.011,1.888)、1.107(95%CI:1.003,1.222)、1.035(95%CI:0.984,1.088)和 1.122(95%CI:1.086,1.160)。SO 是联合效应的主要贡献者(HR:2.083,95%CI:1.659-2.508)。性别、年龄、饮酒和健康状况可能会改变空气污染物对 MCC 模式的影响。长期暴露于空气污染与中国中老年人 MCC 的发生和模式有关。预防方法对于保护易患 MCC 的人群至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c092/11443143/97e1c92ef4d0/41598_2024_73485_Fig1_HTML.jpg

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