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
{"title":"Wildfire Smoke Exposure and Incident Dementia","authors":"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","doi":"10.1001/jamaneurol.2024.4058","DOIUrl":null,"url":null,"abstract":"ImportanceLong-term exposure to total fine particulate matter (PM<jats:sub>2.5</jats:sub>) is a recognized dementia risk factor, but less is known about wildfire-generated PM<jats:sub>2.5</jats:sub>, an increasingly common PM<jats:sub>2.5</jats:sub> source.ObjectiveTo assess the association between long-term wildfire and nonwildfire PM<jats:sub>2.5</jats:sub> 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 PM<jats:sub>2.5</jats:sub> 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 PM<jats:sub>2.5</jats:sub> 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/m<jats:sup>3</jats:sup> increase in the 3-year mean of wildfire PM<jats:sub>2.5</jats:sub> 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/m<jats:sup>3</jats:sup> increase in nonwildfire PM<jats:sub>2.5</jats:sub> exposure was associated with a 1% increase (OR, 1.01; 95% CI, 1.01-1.02). For wildfire PM<jats:sub>2.5</jats:sub> 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 PM<jats:sub>2.5</jats:sub> over a 3-year period was associated with dementia diagnoses. As the climate changes, interventions focused on reducing wildfire PM<jats:sub>2.5</jats:sub> exposure may reduce dementia diagnoses and related inequities.","PeriodicalId":14677,"journal":{"name":"JAMA neurology","volume":"1 1","pages":""},"PeriodicalIF":20.4000,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JAMA neurology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1001/jamaneurol.2024.4058","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
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.
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.