Predictors of falls in older adults with and without dementia

TitlePredictors of falls in older adults with and without dementia
Publication TypeJournal Article
Year of Publication2023
AuthorsOkoye SM, Fabius CD, Reider L, Wolff JL
JournalAlzheimer's & Dementia
Volume19
Issue7
Pagination2888-2897
Date Published07/2023
ISSN1552-5279
Keywordsaccidental falls; dementia; fall risk factors; living arrangement; vision impairment
Abstract

INTRODUCTION: Persons living with, versus without, dementia (PLWD) have heightened fall-risk. Little is known about whether fall-risk factors differ by dementia status.

METHODS: Using the 2015 and 2016 National Health and Aging Trends Study, we prospectively identified fall-risk factors over a 12-month period among community-living older adults ≥65 years with and without dementia (n = 5581).

RESULTS: Fall rates were higher among PLWD compared to persons without dementia (45.5% vs. 30.9%). In a multivariable model including sociodemographic, health, function, and environmental characteristics as predictors, vision impairment (OR: 2.22, 95% CI: 1.12-4.40), and living with a spouse versus alone (OR: 2.43, 95% CI: 1.09-5.43) predicted falls among PLWD, but not among persons without dementia. History of previous falls predicted subsequent falls regardless of dementia status (OR: 6.20, 95% CI: 3.81-10.09, and OR: 2.92, 95% CI: 2.50-3.40, respectively).

DISCUSSION: Incorporating appropriate fall-risk factors could inform effective falls screening and prevention strategies for PLWD.

HIGHLIGHTS: 46% of persons with dementia had ≥1 falls versus 31% of those without dementia in 2016. Vision impairment and living with a spouse predicted falls in persons with dementia. Study results support tailored fall prevention strategies for persons with dementia.

URLhttps://pubmed.ncbi.nlm.nih.gov/36633222/
DOI10.1002/alz.12916
Alternate JournalAlzheimers Dement
PubMed ID36633222
PubMed Central IDPMC10336176
Grant ListU54 MD000214 / MD / NIMHD NIH HHS / United States
T32 AG066576 / AG / NIA NIH HHS / United States
P30 AG066587 / AG / NIA NIH HHS / United States
Country: 
Method: 
Quantitative
Design: 
PLACI vs PLOCI vs PLA vs PLO