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Article

Characterizing daily physical activity patterns with unsupervised learning via functional mixture models.

Journal of behavioral medicine - 1 Feb 2025

Ensari Ipek, Caceres Billy A, Jackman Kasey B, Goldsmith Jeff, Suero-Tejeda Niurka M, Odlum Michelle L, Bakken Suzanne

Abstract excerpt

Physical inactivity is a significant public health concern. Consideration of inter-individual variations in physical activity (PA) trends can provide additional information about the groups under study to aid intervention design. This study aims to identify latent profiles ("phenotypes") based on daily PA trends among adults living in. This was a secondary analysis of 724 person-level days of accelerometry data...

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Identifiers

PMID: 39306631
DOI: 10.1007/s10865-024-00519-w
PMCID: PMC12967293

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