Physical Behavior Profiles Among Older Adults and Their Associations With Physical Capacity and Life-Space Mobility.

cluster analysis multidimensional physical activity physical function

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:
16 Feb 2024
Historique:
received: 30 06 2023
revised: 21 11 2023
accepted: 02 01 2024
medline: 17 2 2024
pubmed: 17 2 2024
entrez: 16 2 2024
Statut: aheadofprint

Résumé

We identified data-driven multidimensional physical activity (PA) profiles using several novel accelerometer-derived metrics. Participants aged 75, 80, and 85 (n = 441) wore triaxial accelerometers for 3-7 days. PA profiles were formed with k-means cluster analysis based on PA minutes, intensity, fragmentation, sit-to-stand transitions, and gait bouts for men and women. Associations with physical capacity and life-space mobility were examined using age-adjusted general linear models. Three profiles emerged: "Exercisers" and "actives" accumulated relatively high PA minutes, with actives engaging in lighter intensity PA. "Inactives" had the highest activity fragmentation and lowest PA volume, intensity, and gait bouts. Inactives showed lower scores in physical capacity and life-space mobility compared with exercisers and actives. Exercisers and actives had similar physical capacity and life-space mobility, except female exercisers had higher walking speed in the 6-min walk test. Our findings demonstrate the importance of assessing PA as multidimensional behavior rather than focusing on a single metric.

Identifiants

pubmed: 38364819
doi: 10.1123/japa.2023-0225
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-8

Auteurs

Lotta Palmberg (L)

Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyvaskyla, Jyvaskyla, Finland.

Antti Löppönen (A)

Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyvaskyla, Jyvaskyla, Finland.
Physical Activity, Sports and Health Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium.

Matti Hyvärinen (M)

Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyvaskyla, Jyvaskyla, Finland.

Erja Portegijs (E)

Center for Human Movement Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Taina Rantanen (T)

Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyvaskyla, Jyvaskyla, Finland.

Timo Rantalainen (T)

Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyvaskyla, Jyvaskyla, Finland.

Laura Karavirta (L)

Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyvaskyla, Jyvaskyla, Finland.

Classifications MeSH