ArticleScientific reports2024
A latent profile analysis of rest-activity behavior patterns among community-dwelling older adults and its relationship with intrinsic capacity.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Multiple chronic conditions and intrinsic capacity among middle-aged and older adults: Evidence from CHARLS.Medicine · 2026Article
- Profiles of 24-h movement behaviors and physical fitness among preschool children: a latent profile analysis.Journal of exercise science and fitness · 2026Article
- Exploring the multifaceted influencers on intrinsic capacity among community-dwelling older adults: a scoping review.BMC geriatrics · 2026Article
- Physical behaviour profiles and their associations with fitness and function in older adults: a cross-sectional latent profile analysis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026Article
- Latent profile analysis for medication adherence in patients with chronic obstructive pulmonary disease.BMC pulmonary medicine · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
Rest-activity behavior clusters within individuals to form patterns are of significant importance to their intrinsic capacity (IC), yet they have rarely been studied. A total of 1253 community-dwelling older adults were recruited between July and December 2021 based on the baseline survey database of the Fujian Prospective Cohort Study on Aging. Latent profile analysis was used to identify profiles of participants based on rest-activity behaviors, whereas logistic regression analysis was carried out to investigate the relationship between profiles and IC. We identified three latent profiles including: (1) Profile 1-labeled "Gorillas": High physical activity (PA), moderate sedentary behaviors (SB), screen time (ST) and sleep (n = 154, 12%), (2) Profile 2-labeled as "Zebras": Moderate PA, low SB, ST and high sleep (n = 779, 62%), and (3) Profile 3-labeled as"Koalas": High SB, ST, low PA and sleep (n = 320, 26%). Logistic regression revealed a negative correlation between low IC and the "Gorillas" profile (β = - 0.945, P < 0.001) as well as the "Zebras" profile (β = - 0.693, P < 0.001) among community-dwelling older adults, with the "Koalas" profile showing the weakest IC compared to the other profiles. The demographic traits i.e., female, older age, living alone, and low educational level also correlated with low IC. Identifying trends of rest-activity behaviors may help in drawing focus on older adults at risk of decreasing IC, and develop personalized improvement plans for IC.
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