A hierarchy of correlates impacting adults' sensor-based physical activity and sedentary time.
CHAID analysis
physical activity
sedentary behaviour
sensor-based data
socio-ecological model
Journal
Journal of sports sciences
ISSN: 1466-447X
Titre abrégé: J Sports Sci
Pays: England
ID NLM: 8405364
Informations de publication
Date de publication:
Dec 2021
Dec 2021
Historique:
pubmed:
12
8
2021
medline:
21
12
2021
entrez:
11
8
2021
Statut:
ppublish
Résumé
Investigation into correlates across all levels of the socio-ecological model predictive of objectively measured physical activity has rarely been assessed in adults. While considering a diversity of correlates, we determined which correlates best predict sensor-based moderate-to-vigorous physical activity (MVPA) and sedentary-time (ST) in adults. A Chi-squared Automatic Interaction Detection algorithm was used to hierarchize the correlates associated with high ST (≥66.6
Identifiants
pubmed: 34378495
doi: 10.1080/02640414.2021.1964749
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM