biostudies-literatureLi JNIA NIH HHSNIEHS NIH HHSHarvard University T H Chan School of Public HealthEmory University School of Public Health100208https://www.ebi.ac.uk/biostudies/studies/S-EPMC8844282biostudies-literatureUnknown3(2)Growing evidence has linked long-term fine particulate matter (PM_2.5) exposure to neurological disorders. Less is known about the individual effects of PM_2.5 components. A population-based cohort study investigated the association between long-term (1-year average) exposure to PM_2.5 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_2.5 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_2.5 components. Among ∼2 mInnovation (Cambridge (Mass.))Long-term effects of PM_2.5 components on incident dementia in the northeastern United States.PMC8844282P50 AG025688R01 AG074357P30 ES019776Chang HHShi LLi JMartin RVSteenland Kvan Donkelaar ALiu PCaudle WMSchwartz JKoutrakis PWang YfalseLong-term effects of PM_2.5 components on incident dementia in the northeastern United States.Growing evidence has linked long-term fine particulate matter (PM_2.5) exposure to neurological disorders. Less is known about the individual effects of PM_2.5 components. A population-based cohort study investigated the association between long-term (1-year average) exposure to PM_2.5 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_2.5 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_2.5 components. Among ∼2 m2022-01-01T00:00:00Z2022 Mar2025-04-18T16:35:00.3Z2025-04-07T03:54:17.904ZS-EPMC88442823519907810.1016/j.xinn.2022.100208