Elser Holly, Frankland Timothy B, Chen Chen, Tartof Sara Y, Mayeda Elizabeth Rose, Lee Gina S, Northrop Alexander J, Torres Jacqueline M, Benmarhnia Tarik, Casey Joan A
Department of Neurology, University of Pennsylvania, Philadelphia.
Editorial Fellow, JAMA Neurology.
JAMA Neurol. 2025 Jan 1;82(1):40-48. doi: 10.1001/jamaneurol.2024.4058.
Long-term exposure to total fine particulate matter (PM2.5) is a recognized dementia risk factor, but less is known about wildfire-generated PM2.5, an increasingly common PM2.5 source.
To assess the association between long-term wildfire and nonwildfire PM2.5 exposure and risk of incident dementia.
DESIGN, SETTING, AND PARTICIPANTS: This open cohort study was conducted using January 2008 to December 2019 electronic health record (EHR) data among members of Kaiser Permanente Southern California (KPSC), which serves 4.7 million people across 10 California counties. KPSC members aged 60 years or older were eligible for inclusion. Members were excluded if they did not meet eligibility criteria, if they had a dementia diagnosis before cohort entry, or if EHR data lacked address information. Data analysis was conducted from May 2023 to May 2024.
Three-year rolling mean wildfire and nonwildfire PM2.5 in member census tracts from January 2006 to December 2019, updated quarterly and estimated via monitoring and remote-sensing data and statistical techniques.
The primary outcome was incident dementia, identified using diagnostic codes in the EHR. Odds of dementia diagnoses associated with 3-year mean wildfire and nonwildfire PM2.5 exposure were estimated using a discrete-time approach with pooled logistic regression. Models adjusted for age, sex, race and ethnicity (considered as a social construct rather than as a biological determinant), marital status, smoking status, calendar year, and census tract-level poverty and population density. Stratified models assessed effect measure modification by age, sex, race and ethnicity, and census tract-level poverty.
Among 1.64 million KPSC members aged 60 years or older during the study period, 1 223 107 members were eligible for inclusion in this study. The study population consisted of 644 766 female members (53.0%). In total, 319 521 members identified as Hispanic (26.0%), 601 334 members identified as non-Hispanic White (49.0%), and 80 993 members received a dementia diagnosis during follow-up (6.6%). In adjusted models, a 1-μg/m3 increase in the 3-year mean of wildfire PM2.5 exposure was associated with an 18% increase in the odds of dementia diagnosis (odds ratio [OR], 1.18; 95% CI, 1.03-1.34). In comparison, a 1-μg/m3 increase in nonwildfire PM2.5 exposure was associated with a 1% increase (OR, 1.01; 95% CI, 1.01-1.02). For wildfire PM2.5 exposure, associations were stronger among members less than 75 years old upon cohort entry, members from racially minoritized subgroups, and those living in high-poverty vs low-poverty census tracts.
In this cohort study, after adjusting for measured confounders, long-term exposure to wildfire and nonwildfire PM2.5 over a 3-year period was associated with dementia diagnoses. As the climate changes, interventions focused on reducing wildfire PM2.5 exposure may reduce dementia diagnoses and related inequities.
长期暴露于细颗粒物(PM2.5)是公认的痴呆症风险因素,但对于野火产生的PM2.5(一种日益常见的PM2.5来源)了解较少。
评估长期野火和非野火PM2.5暴露与新发痴呆症风险之间的关联。
设计、设置和参与者:这项开放队列研究使用了2008年1月至2019年12月南加州凯撒医疗集团(KPSC)成员的电子健康记录(EHR)数据,该集团为加利福尼亚州10个县的470万人提供服务。年龄在60岁及以上的KPSC成员符合纳入条件。如果成员不符合资格标准、在队列进入前已被诊断为痴呆症或EHR数据缺乏地址信息,则将其排除。数据分析于2023年5月至2024年5月进行。
2006年1月至2019年12月成员普查区三年滚动平均野火和非野火PM2.5,每季度更新一次,并通过监测和遥感数据以及统计技术进行估算。
主要结局是新发痴呆症,通过EHR中的诊断代码确定。使用离散时间方法和合并逻辑回归估计与三年平均野火和非野火PM2.5暴露相关的痴呆症诊断几率。模型对年龄、性别、种族和族裔(视为一种社会结构而非生物学决定因素)、婚姻状况、吸烟状况、日历年份以及普查区层面的贫困和人口密度进行了调整。分层模型评估了年龄、性别、种族和族裔以及普查区层面贫困对效应测量的修正作用。
在研究期间,164万年龄在60岁及以上的KPSC成员中,有1223107名成员符合本研究的纳入条件。研究人群包括644766名女性成员(53.0%)。共有319521名成员被认定为西班牙裔(26.0%),601334名成员被认定为非西班牙裔白人(49.0%),80993名成员在随访期间被诊断为痴呆症(6.6%)。在调整后的模型中,三年平均野火PM2.5暴露每增加1μg/m3,痴呆症诊断几率增加18%(优势比[OR],1.18;95%置信区间,1.03 - 1.34)。相比之下,非野火PM2.5暴露每增加1μg/m3,痴呆症诊断几率增加1%(OR,1.01;95%置信区间,1.01 - 1.02)。对于野火PM2.5暴露,在队列进入时年龄小于75岁的成员、来自少数族裔亚组的成员以及生活在高贫困与低贫困普查区的成员中,关联更强。
在这项队列研究中,在调整了测量的混杂因素后,三年期间长期暴露于野火和非野火PM2.5与痴呆症诊断相关。随着气候变化,专注于减少野火PM2.5暴露的干预措施可能会减少痴呆症诊断及相关的不平等现象。