Wildfire Smoke Exposure and Incident Dementia

IF 20.4 1区 医学 Q1 CLINICAL NEUROLOGY JAMA neurology Pub Date : 2024-11-25 DOI:10.1001/jamaneurol.2024.4058
Holly Elser, Timothy B. Frankland, Chen Chen, Sara Y. Tartof, Elizabeth Rose Mayeda, Gina S. Lee, Alexander J. Northrop, Jacqueline M. Torres, Tarik Benmarhnia, Joan A. Casey
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Abstract

ImportanceLong-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.ObjectiveTo assess the association between long-term wildfire and nonwildfire PM2.5 exposure and risk of incident dementia.Design, Setting, and ParticipantsThis 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.ExposuresThree-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.Main Outcome and MeasuresThe 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.ResultsAmong 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.Conclusions and RelevanceIn 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.
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野火烟雾暴露与痴呆症事件
重要性长期暴露于总细颗粒物(PM2.5)是一种公认的痴呆症风险因素,但人们对野火产生的 PM2.5 却知之甚少,而野火是一种越来越常见的 PM2.5 来源.Objective To assess the association between long-term wildfire and nonwildfire PM2.5暴露与痴呆症发病风险之间的关系。这项开放式队列研究使用了2008年1月至2019年12月南加州凯泽医疗集团(KPSC)成员的电子健康记录(EHR)数据。年龄在 60 岁或以上的 KPSC 会员符合纳入条件。如果成员不符合资格标准,或在加入队列前已诊断出痴呆症,或 EHR 数据中缺少地址信息,则将其排除在外。数据分析从 2023 年 5 月至 2024 年 5 月进行。暴露从 2006 年 1 月至 2019 年 12 月,成员人口普查区中野火和非野火 PM2.5 的三年滚动平均值,每季度更新一次,并通过监测和遥感数据及统计技术进行估算。主要结果和测量主要结果是事件性痴呆,使用 EHR 中的诊断代码确定。采用离散时间法和集合逻辑回归法估算与3年平均野火和非野火PM2.5暴露相关的痴呆诊断几率。模型对以下因素进行了调整:年龄、性别、种族和民族(被视为一种社会结构而非生物决定因素)、婚姻状况、吸烟状况、日历年以及人口普查区级贫困和人口密度。分层模型评估了年龄、性别、种族和民族以及人口普查区贫困程度对效果测量的影响。 结果在研究期间,在 164 万名 60 岁或以上的 KPSC 会员中,有 1 223 107 名会员符合纳入本研究的条件。研究对象包括 644 766 名女性会员(53.0%)。共有 319 521 名会员被认定为西班牙裔(26.0%),601 334 名会员被认定为非西班牙裔白人(49.0%),80 993 名会员在随访期间接受了痴呆诊断(6.6%)。在调整模型中,野火PM2.5暴露量的3年平均值每增加1微克/立方米,痴呆症诊断几率就会增加18%(几率比[OR],1.18;95% CI,1.03-1.34)。相比之下,非野火PM2.5暴露每增加1微克/立方米,痴呆症诊断几率增加1%(OR,1.01;95% CI,1.01-1.02)。就野火PM2.5暴露而言,在进入队列时年龄小于75岁的成员、来自少数种族亚群的成员以及生活在高贫困率人口普查区与低贫困率人口普查区的成员中,相关性更强。结论与相关性在这项队列研究中,在对测量的混杂因素进行调整后,3年内长期暴露于野火和非野火PM2.5与痴呆诊断有关。随着气候的变化,以减少野火 PM2.5 暴露为重点的干预措施可能会减少痴呆症的诊断和相关的不公平现象。
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来源期刊
JAMA neurology
JAMA neurology CLINICAL NEUROLOGY-
CiteScore
41.90
自引率
1.70%
发文量
250
期刊介绍: JAMA Neurology is an international peer-reviewed journal for physicians caring for people with neurologic disorders and those interested in the structure and function of the normal and diseased nervous system. The Archives of Neurology & Psychiatry began publication in 1919 and, in 1959, became 2 separate journals: Archives of Neurology and Archives of General Psychiatry. In 2013, their names changed to JAMA Neurology and JAMA Psychiatry, respectively. JAMA Neurology is a member of the JAMA Network, a consortium of peer-reviewed, general medical and specialty publications.
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