biostudies-literatureLi JMNational Heart, Lung and Blood InstituteBoston University School of Medicine and National Institute on AgingNCATS NIH HHSNIA NIH HHSU.S. National Institutes of Health - National Institute of AgingNHLBI NIH HHSNational Heart, Lung, and Blood Institute - National Institute of Neurological Disorders and StrokeNINDS NIH HHSNational Institute for Neurologic Disorders and Strokee71065https://www.ebi.ac.uk/biostudies/studies/S-EPMC12819166biostudies-literatureUnknown22(1)<h4>Introduction</h4>Dementia prevalence is associated with modifiable factors. We quantified the contribution of dementia risk factors in midlife (45-64 years) and late life (≥ 65 years) in the United States.<h4>Methods</h4>Data from six community-based cohorts in the Dementia Risk Prediction Project (DRPP) were used. We estimated risk factor prevalence using nationally representative data. Cohort-specific Cox regression models were used to estimate the association between modifiable risk factors and incident dementia in midlife and late life. Hazard ratios were pooled using meta-analysis then used to calculate population attributable fractions (PAFs) and potential impact fractions.<h4>Results</h4>Midlife and late-life risk factors contributed to 22.7% and 16.5% of total dementia cases, rAlzheimer's & dementia : the journal of the Alzheimer's AssociationMidlife and late-life population attributable fractions of risk factors for dementia in the United States: The Dementia Risk Prediction Project.PMC1281916675N92022D0000375N92022D00004R01AG02362975N92022D0000175N92022D000021R61NS120245-01/R33NS120245UL1-TR-000040N01-HC-25195R01AG059421UF1/UH1NS12551375N92022D00005R01AG058969P30AG072947RF1AG0665241RF1AG068410-01UL1-TR-001420U01HL09681275N92021D00006P30 AG066546HHSN268200800007CR01AG079108-01R01AG030153R01AG054069N01-HC-95169HHSN268201800001CU01AG052409N01-HC-95165N01-HC-95166N01-HC-951671R01NS102715-01N01-HC-95168N01HC85079HHSN268201500001IU01AG058589R01NS017950UL1-TR-001079N01-HC-95161N01-HC-95162N01-HC-95163N01-HC-95164R01AG054076R01AG070953R01HL172803N01-HC-95160U01HL080295N01HC85081R01AG20098N01-HC-95159N01HC8508275N92020D00007N01HC85080HHSN268201200036CN01HC85086N01HC8508375N92019D0003175N92020D0000175N92020D0000275N92020D0000575N92020D0000675N92020D00003U01HL13011475N92020D00004R01AG049607N01HC55222RF1AG063507HHSN268201500003IJudd SEStephen JJLopez OLGudnason VPeterson EAGross ALHelmer CLevine DABriceno EMSatizabal CLHimali JZhao LAiello AEIkram MAHughes TMLloyd-Jones DMMansolf MSedaghat SZmora RLi DFohner ADebette SSeshadri SGauen AMAllen NBSorond FAMbangdadji DSoumare AWolters FJSingh-Manoux ALauner LJLi JMKohli-Lynch CPetito LCGiorgio KScholtens DfalseMidlife and late-life population attributable fractions of risk factors for dementia in the United States: The Dementia Risk Prediction Project.<h4>Introduction</h4>Dementia prevalence is associated with modifiable factors. We quantified the contribution of dementia risk factors in midlife (45-64 years) and late life (≥ 65 years) in the United States.<h4>Methods</h4>Data from six community-based cohorts in the Dementia Risk Prediction Project (DRPP) were used. We estimated risk factor prevalence using nationally representative data. Cohort-specific Cox regression models were used to estimate the association between modifiable risk factors and incident dementia in midlife and late life. Hazard ratios were pooled using meta-analysis then used to calculate population attributable fractions (PAFs) and potential impact fractions.<h4>Results</h4>Midlife and late-life risk factors contributed to 22.7% and 16.5% of total dementia cases, r2026-01-01T00:00:00Z2026 Jan2026-06-06T19:22:09.097Z2026-06-04T03:12:48.804ZS-EPMC128191664155901910.1002/alz.71065