Li Jing, Wang Yifan, Steenland Kyle, Liu Pengfei, van Donkelaar Aaron, Martin Randall V, Chang Howard H, Caudle W Michael, Schwartz Joel, Koutrakis Petros, Shi Liuhua
Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Innovation (Camb). 2022 Jan 17;3(2):100208. doi: 10.1016/j.xinn.2022.100208. eCollection 2022 Mar 29.
Growing evidence has linked long-term fine particulate matter (PM) exposure to neurological disorders. Less is known about the individual effects of PM components. A population-based cohort study investigated the association between long-term (1-year average) exposure to PM components and dementia incidence among the elderly population (age, ≥65 years) in the United States. We used data from the Medicare Chronic Conditions Warehouse and a high-resolution PM components dataset of the northeastern United States (2000-2017). We identified dementia diagnoses from patients' hospital and medical insurance records and carried out Cox proportional hazards regression to investigate their association with PM components. Among ∼2 million participants, 15.1% developed dementia. From the single-pollutant models, hazard ratios per interquartile range increase were 1.10 (95% confidence interval [CI]: 1.09-1.11) for black carbon, 1.08 (95% CI: 1.07, 1.10) for inorganic nitrate, 1.03 (95% CI: 1.02, 1.04) for organic matter, 1.13 (95% CI: 1.11, 1.15) for sulfate, 1.07 (95% CI: 1.06, 1.07) for soil particles, and 1.04 (95% CI: 1.03, 1.05) for sea salt. Increase in exposure to black carbon and sulfate per interquartile range had the strongest associations with dementia incidence. Penalized spline models indicated that dementia incidence increased linearly with elevated black carbon concentrations, whereas the incidence of dementia was only elevated significantly following sulfate concentrations above ∼2 μg/m. Our study suggests that long-term exposure to PM components is significantly associated with increased dementia incidence and that different components have different neurotoxicity. Reduction of PM emissions, especially for main sources of black carbon and sulfate, may reduce the burden of dementia in the aging United States population.
越来越多的证据表明,长期暴露于细颗粒物(PM)与神经疾病有关。而关于PM各成分的个体影响,人们了解得较少。一项基于人群的队列研究调查了美国老年人群(年龄≥65岁)长期(1年平均)暴露于PM成分与痴呆症发病率之间的关联。我们使用了医疗保险慢性病数据库的数据以及美国东北部的高分辨率PM成分数据集(2000 - 2017年)。我们从患者的医院和医疗保险记录中确定痴呆症诊断,并进行Cox比例风险回归以研究其与PM成分的关联。在约200万参与者中,15.1%患了痴呆症。在单污染物模型中,每四分位数间距增加的风险比,黑碳为1.10(95%置信区间[CI]:1.09 - 1.11),无机硝酸盐为1.08(95%CI:1.07,1.10),有机物为1.03(95%CI:1.02,1.04),硫酸盐为1.13(95%CI:1.11,1.15),土壤颗粒为1.07(95%CI:1.06,1.07),海盐为1.04(95%CI:1.03,1.05)。每四分位数间距的黑碳和硫酸盐暴露增加与痴呆症发病率的关联最强。惩罚样条模型表明,痴呆症发病率随黑碳浓度升高呈线性增加,而痴呆症发病率仅在硫酸盐浓度高于约2μg/m³后显著升高。我们的研究表明,长期暴露于PM成分与痴呆症发病率增加显著相关,且不同成分具有不同的神经毒性。减少PM排放,尤其是减少黑碳和硫酸盐的主要来源,可能会减轻美国老年人群的痴呆症负担。