Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA.
J Am Geriatr Soc. 2021 Aug;69(8):2185-2194. doi: 10.1111/jgs.17188. Epub 2021 Apr 26.
BACKGROUND/OBJECTIVE: Poor air quality is implicated as a risk factor for cognitive impairment and dementia. Few studies have examined these associations longitudinally in well-characterized population-based cohorts with standardized annual assessment of both mild cognitive impairment (MCI) and dementia. We investigated the association between estimated ambient fine particulate matter (PM ) and risk of incident MCI and dementia in a post-industrial region known for historically poor air quality.
SETTING/PARTICIPANTS: Adults aged 65+ years in a population-based cohort (n = 1572).
Census tract level PM from Environmental Protection Agency (EPA) air quality monitors; Clinical Dementia Rating (CDR)®.
We estimated ambient PM exposure (μg/m , single-year and 5-year averages) by geocoding participants' residential addresses to census tracts with daily EPA PM measurements from 2002 to 2014. Using Bayesian spatial regression modeling adjusted for age, sex, education, smoking history, and household income, we examined the association between estimated PM exposure and risk of incident MCI (CDR = 0.5) and incident dementia (CDR ≥ 1.0).
Modeling estimated single-year exposure, each 1 μg/m higher ambient PM was associated with 67% higher adjusted risk of incident dementia (hazard ratio [HR] = 1.669, 95% credible interval [CI]: 1.298, 2.136) and 75% higher adjusted risk of incident MCI (HR = 1.746, 95% CI: 1.518, 2.032). Estimates were higher when modeling 5-year ambient PM exposure for incident dementia (HR = 2.082, 95% CI: 1.528, 3.015) and incident MCI (HR = 3.419, 95% CI: 2.806, 4.164).
Higher estimated ambient PM was associated with higher risk of incident MCI and dementia, particularly when considering longer-term exposure, and independent of demographic characteristics and smoking history. Targeting poor air quality may be a reasonable population-wide intervention to reduce the risk of cognitive impairment in older adults, particularly in regions exceeding current recommendations for safe exposure to PM .
背景/目的:空气质量差被认为是认知障碍和痴呆的危险因素。很少有研究在具有良好特征的基于人群的队列中进行这些纵向研究,这些队列每年都要对轻度认知障碍(MCI)和痴呆症进行标准化评估。我们在一个以历史空气质量差而闻名的后工业化地区,研究了估计的环境细颗粒物(PM )与新发性 MCI 和痴呆症风险之间的关系。
设置/参与者:人口队列中年龄在 65 岁及以上的成年人(n=1572)。
美国环保署(EPA)空气质量监测器的普查区水平 PM ;临床痴呆评定量表(CDR)®。
我们通过将参与者的居住地址地理编码到具有每日 EPA PM 测量值的普查区,估算了环境 PM 暴露量(μg/m ,单年和 5 年平均值)。使用贝叶斯空间回归模型,根据年龄、性别、教育程度、吸烟史和家庭收入进行调整,我们研究了估计的 PM 暴露量与新发性 MCI(CDR=0.5)和新发痴呆症(CDR≥1.0)风险之间的关系。
模型估计的单年暴露量,每增加 1μg/m ,调整后的新发痴呆症风险增加 67%(危险比[HR]=1.669,95%置信区间[CI]:1.298,2.136),新发 MCI 的调整后风险增加 75%(HR=1.746,95%CI:1.518,2.032)。当对新发痴呆症(HR=2.082,95%CI:1.528,3.015)和新发 MCI(HR=3.419,95%CI:2.806,4.164)进行 5 年环境 PM 暴露建模时,估计值更高。
较高的估计环境 PM 与新发性 MCI 和痴呆症的风险增加有关,尤其是在考虑长期暴露的情况下,且与人口统计学特征和吸烟史无关。针对空气质量差可能是一个合理的人群干预措施,可降低老年人认知障碍的风险,尤其是在超过当前 PM 安全暴露建议的地区。