Andrews Ryan M, Adar Sara D, Szpiro Adam A, Kaufman Joel D, Christopher Cami N, Beck Todd L, Dhana Klodian, Wilson Robert S, Rajan Kumar B, Evans Denis, Weuve Jennifer
Department of Epidemiology, Boston University, Boston, Massachusetts, USA.
Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA.
Environ Health Perspect. 2024 Dec;132(12):127002. doi: 10.1289/EHP14585. Epub 2024 Dec 6.
Evidence suggests that long-term exposure to air pollution may increase the risk of dementia and related cognitive outcomes. A major source of air pollution is automotive traffic, which is modifiable by technological and regulatory interventions.
We examined associations of four traffic-related air pollutants with rates of cognitive decline in a cohort of older adults.
We analyzed data from the Chicago Health and Aging Project (CHAP), a longitudinal (1993-2012) community-based cohort study of older adults that included repeated assessments of participants' cognitive performance. Leveraging previously developed air pollution models, we predicted participant-level exposures to the tailpipe pollutants oxides of nitrogen () and nitrogen dioxide (), plus the nontailpipe pollutants copper and zinc found in coarse particulate matter [PM with aerodynamic diameter to () and , respectively], over the 3 y prior to each participant's baseline assessment. Using generalized estimating equations, we estimated covariate-adjusted associations of each pollutant with rates of cognitive decline. We probed the robustness of our results via several sensitivity analyses, including alterations to the length of the exposure assessment window and exploring the influence of pre- and post-baseline selection bias.
Using data from 6,061 participants, estimated associations of these pollutant exposures with cognitive decline were largely inconsistent with large adverse effects. For example, a standard deviation () increment in corresponded to a slightly slower rate of cognitive decline [e.g., mean difference in change in global score, 0.010 standard unit/5 y, 95% confidence interval (CI): , 0.036]. The results of most of our sensitivity analyses were in generally similar to those of our main analyses, but our prebaseline selection bias results suggest that our analytic results may have been influenced by differential survivorship into our study sample.
In this large prospective cohort study, we did not observe compelling evidence that long-term TRAP exposure is associated with cognitive decline. https://doi.org/10.1289/EHP14585.
有证据表明,长期暴露于空气污染中可能会增加患痴呆症及相关认知障碍的风险。空气污染的一个主要来源是汽车交通,可通过技术和监管干预措施加以改善。
我们研究了四种与交通相关的空气污染物与老年人群体认知衰退率之间的关联。
我们分析了芝加哥健康与老龄项目(CHAP)的数据,这是一项基于社区的针对老年人的纵向队列研究(1993 - 2012年),其中包括对参与者认知表现的重复评估。利用先前开发的空气污染模型,我们预测了每位参与者在基线评估前3年期间,尾气污染物氮氧化物()和二氧化氮()以及粗颗粒物(空气动力学直径分别为 至 ()和 的颗粒物)中发现的非尾气污染物铜和锌的个体暴露水平。使用广义估计方程,我们估计了每种污染物与认知衰退率之间经协变量调整后的关联。我们通过多项敏感性分析探究了结果的稳健性,包括改变暴露评估窗口的长度以及探讨基线前和基线后选择偏倚的影响。
利用6061名参与者的数据,这些污染物暴露与认知衰退之间的估计关联在很大程度上与严重的不良影响不一致。例如, 每增加一个标准差(),对应认知衰退速度略有减慢[例如,总体评分变化的平均差异为0.010标准单位/5年,95%置信区间(CI): ,0.036]。我们大多数敏感性分析的结果总体上与主要分析结果相似,但基线前选择偏倚的结果表明,我们的分析结果可能受到了进入我们研究样本的不同生存率的影响。
在这项大型前瞻性队列研究中,我们没有观察到令人信服的证据表明长期暴露于交通相关空气污染与认知衰退有关。https://doi.org/10.1289/EHP14585 。