Apathy and risk of probable incident dementia among community-dwelling older adults
Bock, Meredith; Bahorik, Amber; Brenowitz, Willa; Yaffe, Kristine (2021), Apathy and risk of probable incident dementia among community-dwelling older adults, Dryad, Dataset, https://doi.org/10.7272/Q6707ZN0
Objective: To evaluate the association between baseline apathy and probable incident dementia in a population-based sample of community-dwelling older adults.
Methods: We studied 2,018 white and black community-dwelling older adults from the Health, Aging, and Body Composition (Health ABC) study. We measured apathy at year 6 (our study baseline) with the modified Apathy Evaluation Scale and divided participants into tertiles based on low, moderate, or severe apathy symptoms. Incident dementia was ascertained over 9 years by dementia medication use, hospital records, or clinically relevant cognitive decline on global cognition. We examined the association between apathy and probable incident dementia using a Cox proportional hazards model adjusting for demographics, cardiovascular risk factors, APOE-4 status, and depressed mood. We also evaluated the association between the apathy group and cognitive change (as measured by the Modified Mini Mental State Examination and Digit Symbol Substitution Test over 5 years) using linear mixed effects models.
Results: Over 9 years of follow-up, 381 participants developed probable dementia. Severe apathy was associated with an increased risk of dementia compared to low apathy (25% vs 14%) in unadjusted (HR 1.9, 95% CI 1.5–2.5) and adjusted models (HR 1.7, 95% CI 1.3–2.2). Greater apathy was associated with worse cognitive score at baseline, but not rate of change over time.
Conclusion: In a diverse cohort of community-dwelling adults, apathy was associated with increased risk of developing probable dementia. This study provides novel evidence for apathy as a prodrome of dementia.
These data was collected through the Health ABC study and cleaned and analyzed in Stata. There are no direct identifiers in the dataset. To avoid having >3 indirect identifiers, I removed age and gender from the dataset.
Please see below for the data dictionary, with age and gender removed
habcid double %11.0g HABC ENROLLMENT ID
apoehap double %12.0g Apo E genotyping (e2, e3, e4)
dep double %12.0g YR1:AT RISK FOR DEPRESSION (CES-D GE 16)
ces_d double %5.0g CES-D
stroke double %12.0g Year 1 current cereb dx: stroke, tia, cend
htn double %12.0g Year 1 current hypertension
apoe4 double %12.0g APOE e4 carrier
white double %12.0g Race
eduhs double %12.0g Education
mi double %12.0g History of myocardial infarction
dm double %12.0g History of DM
obese double %12.0g History of obesity
fbaaf01 double %12.0g Apathy question: Y6Q69:4 wks�how interested in activities
fbaaf02 double %12.0g Apathy question: Y6Q70:4 wks�how interested leaving home?
fbaaf03 double %12.0g Apathy question: Y6Q71: 4 wks�how interested w,friends?
fbaaf04 double %12.0g Apathy question: Y6Q72: Getting thgs done�is important
fbaaf05 double %12.0g Apathy question: Y6Q73: Seeing a job�to the end�important
dem_dx double %12.0g Dementia diagnosis
dementia double %12.0g Dementia diagnosis
dep_y6 double %12.0g Depression at year 6
event_date long %d Date of dementia diagnosis
time_to_event double %5.0g Time to dementia diagnosis
missy6 double %12.0g 0=had year 6 visit date, 1=no year 6 visit date
dem_after_y6 double %12.0g 0=dementia before year 6; 1=dementia after year 6
dod long %d Date*of*Death
National Institute on Aging, Award: NIA K24 AG031155