The Role of Daily Step Count in Determining Risk Factors for Falls.

cognition depression exposure to falls risk older people sensorimotor factors

Journal

Journal of aging and physical activity
ISSN: 1543-267X
Titre abrégé: J Aging Phys Act
Pays: United States
ID NLM: 9415639

Informations de publication

Date de publication:
01 06 2023
Historique:
received: 17 02 2022
revised: 29 07 2022
accepted: 22 08 2022
medline: 26 5 2023
pubmed: 27 10 2022
entrez: 26 10 2022
Statut: epublish

Résumé

Falls risk is often assessed without considering exposure to risk. We examined the risk factors associated with falls in those with greater and lower levels of daily step count. Falls were recorded over 12 months using bimonthly calendars in community-dwelling older people (mean age 72.0, SD 6.9). Daily step count was measured using a pedometer worn consecutively for 7 days. A cut score of <5,575.5 steps/day was used to identify people with lower step count. Negative binominal models were used to identify cognitive, medical, and sensorimotor factors associated with falls in those with higher versus lower levels of daily step count. In those with lower daily step count, poorer executive function, slower gait speed, and lower steps per day were associated with increased falls risk. In those with higher step count, only mood was associated with increased falls risk. Considering daily step count is important when assessing falls risk in older people.

Identifiants

pubmed: 36288788
doi: 10.1123/japa.2022-0057
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

400-407

Auteurs

Oshadi Jayakody (O)

Department of Medicine, Albert Einstein College of Medicine, Bronx, NY,USA.

Aishwarya Kirubasankar (A)

Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, VIC,Australia.

Taya Collyer (T)

Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, VIC,Australia.

Velandai K Srikanth (VK)

Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, VIC,Australia.

Michele L Callisaya (ML)

Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, VIC,Australia.

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Classifications MeSH