■将气态空气污染与晚年大脑健康联系起来的证据好坏参半。
我们探讨了社区动脉粥样硬化风险(ARIC)研究参与者中气体污染物暴露与脑磁共振成像(MRI)标志物之间的关系,注意暴露估计方法的影响和场地的混淆。
■我们考虑了1987-1989年期间从美国四个地点招募的1,665名符合条件的ARIC参与者的数据,以及第5次访问(2011-2013)的有效脑MRI数据。我们估计了10年(2001-2010年)的平均一氧化碳(CO),二氧化氮(NO2),氮氧化物(NOx),参与者地址的8小时和24小时臭氧(O3)浓度,使用多种曝光估计方法。我们估计了污染物暴露与脑MRI结果之间的特定位置关联(总体积和区域体积;微出血的存在,梗塞,lacunes,和严重的白质高强度),使用调整的线性和逻辑回归模型。我们将荟萃分析组合的特定位点关联与未考虑位点的分析进行了比较。
■现场暴露分布因暴露估算方法而异。无论暴露与否,荟萃分析关联通常都没有统计学意义,结果,或暴露估计方法;点估计通常表明较高的NO2和NOx与较小的颞叶之间存在关联,深灰色,海马,额叶,和阿尔茨海默病特征区域的感兴趣体积以及在较高的CO和较小的颞叶和额叶体积之间。不考虑研究地点的分析通常会产生显着的关联,有时会产生不同的关联方向。
■估计空气污染浓度的局部变化模式因估计方法而异。尽管我们没有找到强有力的证据支持气态污染物对MRI可检测到的大脑变化的影响,点估计表明,较高的CO暴露量之间存在关联,NOx,和NO2和较小的局部脑体积。对空气污染和痴呆症相关结果的分析未根据位置进行调整,可能会低估不确定性,并且可能容易受到混淆偏差的影响。https://doi.org/10.1289/EHP13906.
UNASSIGNED: Evidence linking gaseous air pollution to late-life brain health is mixed.
UNASSIGNED: We explored associations between exposure to gaseous pollutants and brain magnetic resonance imaging (MRI) markers among Atherosclerosis Risk in Communities (ARIC)
Study participants, with attention to the influence of exposure estimation method and confounding by site.
UNASSIGNED: We considered data from 1,665 eligible ARIC participants recruited from four US sites in the period 1987-1989 with valid brain MRI data from Visit 5 (2011-2013). We estimated 10-y (2001-2010) mean carbon monoxide (CO), nitrogen dioxide (NO2), nitrogen oxides (NOx), and 8- and 24-h
ozone (O3) concentrations at participant addresses, using multiple exposure estimation methods. We estimated site-specific associations between pollutant exposures and brain MRI outcomes (total and regional volumes; presence of microhemorrhages, infarcts, lacunes, and severe white matter hyperintensities), using adjusted linear and logistic regression models. We compared meta-analytically combined site-specific associations to analyses that did not account for site.
UNASSIGNED: Within-site exposure distributions varied across exposure estimation methods. Meta-analytic associations were generally not statistically significant regardless of exposure, outcome, or exposure estimation method; point estimates often suggested associations between higher NO2 and NOx and smaller temporal lobe, deep gray, hippocampal, frontal lobe, and Alzheimer disease signature region of interest volumes and between higher CO and smaller temporal and frontal lobe volumes. Analyses that did not account for
study site more often yielded significant associations and sometimes different direction of associations.
UNASSIGNED: Patterns of local variation in estimated air pollution concentrations differ by estimation method. Although we did not find strong evidence supporting impact of gaseous pollutants on brain changes detectable by MRI, point estimates suggested associations between higher exposure to CO, NOx, and NO2 and smaller regional brain volumes. Analyses of air pollution and dementia-related outcomes that do not adjust for location likely underestimate uncertainty and may be susceptible to confounding bias. https://doi.org/10.1289/EHP13906.