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环境细颗粒物及其成分可能会加速成年人的衰老。

Ambient fine particulate matter and its constituents may exacerbate the acceleration of aging in adults.

机构信息

Department of Urban Planning and Design, Faculty of Architecture, the University of Hong Kong, Hong Kong Special Administrative Region; Urban Systems Institute, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region.

School of Public Health, Guangzhou Medical University, Guangzhou 511436, China.

出版信息

Environ Int. 2024 Oct;192:109019. doi: 10.1016/j.envint.2024.109019. Epub 2024 Sep 18.

Abstract

Both ambient fine particulate matter (PM) and aging are important urban concerns. However, the associations between PM constituents and the acceleration of aging (AA) remain unclear. We included 16,051 adults (aged 25-80 years) with 19,252 medical observations in Taiwan during 2008-2017. 2-year average PM and its five major constituents were assessed using a two-stage machine learning model at a resolution of 1 km. AA was determined by the difference between the Klemera-Doubal biological age and chronological age. A linear mixed model (LMM) with inverse probability weights was used to examine the associations between AA and air pollution. In a semi-randomized study design, we applied a post-matching LMM to assess the impacts of changes in air pollution exposure on AA. Each interquartile range increase in ambient PM, SO, NO, NH, organic matters (OM), and black carbon (BC) was associated with a 0.20 (95 %confidence interval [CI]: 0.17-0.24), 0.19 (0.15-0.23), 0.14 (0.11-0.18), 0.21 (0.17-0.24), 0.22 (0.19-0.26) and 0.25 (0.21-0.28) year increase in AA, respectively. BC was generally associated with the greatest increase in AA as compared to other constituents. We did not find evident thresholds in their concentration-response associations. Participants exposed to increased levels of PM, SO, NO, NH, OM, and BC experienced an increase in AA of 0.11 (-0.07-0.29), 0.20 (0.02-0.39), 0.15 (-0.02-0.33), 0.12 (-0.07-0.31), 0.24 (0.07-0.41), and 0.30 (0.07-0.52) years, respectively, compared to those exposed to decreased/unchanged levels. Long-term exposure to ambient PM and its constituents may accelerate biological aging among Chinese adults. Exposed to increased levels may further aggregate the aging process. This study suggests that reducing exposure to air pollution is beneficial, even for residents within moderately-to-highly polluted regions, such as Taiwan. Rigorous regulation of PM and its constituents may prevent the acceleration of biological age.

摘要

环境细颗粒物(PM)和老化都是重要的城市问题。然而,PM 成分与衰老加速(AA)之间的关联尚不清楚。我们纳入了 2008 年至 2017 年期间在台湾的 16051 名年龄在 25-80 岁的成年人(n=19252 例)。使用两阶段机器学习模型以 1km 的分辨率评估 2 年平均 PM 及其五个主要成分。AA 由 Klemera-Doubal 生物年龄与实际年龄之间的差异决定。采用逆概率权重的线性混合模型(LMM)来研究 AA 与空气污染之间的关系。在半随机研究设计中,我们应用后匹配 LMM 来评估空气污染暴露变化对 AA 的影响。环境 PM、SO、NO、NH、有机物(OM)和黑碳(BC)每增加一个四分位距(IQR),AA 分别增加 0.20(95%置信区间[CI]:0.17-0.24)、0.19(0.15-0.23)、0.14(0.11-0.18)、0.21(0.17-0.24)、0.22(0.19-0.26)和 0.25(0.21-0.28)年。与其他成分相比,BC 通常与 AA 增加的相关性最大。我们没有发现它们浓度-反应关系的明显阈值。暴露于较高水平的 PM、SO、NO、NH、OM 和 BC 的参与者,其 AA 分别增加 0.11(-0.07-0.29)、0.20(0.02-0.39)、0.15(-0.02-0.33)、0.12(-0.07-0.31)、0.24(0.07-0.41)和 0.30(0.07-0.52)年,与暴露于降低/不变水平的参与者相比。长期暴露于环境 PM 及其成分可能会加速中国成年人的生物衰老。暴露于较高水平可能会进一步加速衰老过程。本研究表明,即使在台湾等中-高度污染地区,减少空气污染暴露也有益处。严格控制 PM 及其成分可能会阻止生物年龄的加速。

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