ArticleAging clinical and experimental research2023
Association of 24-h movement behaviors with phase angle in community-dwelling older adults: a compositional data analysis.
Article in Aging clinical and experimental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Relationship between bioelectrical impedance-derived muscle quality and physical activity, sedentary behavior, or sleep using compositional data analysis (CoDA).Scientific reports · 2025Article
- Association of objectively measured physical activity with phase angle obtained from bioelectrical impedance analysis in older adults with disabilities under the long-term care insurance system.Journal of physiological anthropology · 2025Article
- Article
- Associations between objectively measured overall and intensity-specific physical activity and phase angle in older adults.Scientific reports · 2024Article
- Relationship between Phase Angle and Physical Activity Intensity among Community-Dwelling Older Adults in Japan: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2024Article
- A systematic review of research reporting practices in observational studies examining associations between 24-h movement behaviors and indicators of health using compositional data analysis.Journal of activity, sedentary and sleep behaviors · 2024Review
- Sedentary Behavior and Phase Angle: An Objective Assessment in Physically Active and Inactive Older Adults.Nutrients · 2023Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPhase angle (PhA) is an indicator of cellular conditions. Recent studies have suggested that PhA supports healthy aging. Identifying modifiable lifestyle factors for PhA is important. The associations of PhA in 24-h movement behaviors, including physical activity (PA), sedentary behavior (SB), and sleep, have not been studied in older adults.
objectivesWe investigated the cross-sectional associations between 24-h movement behaviors and PhA in community-dwelling older adults while appropriately considering the co-dependent nature of daily time use using compositional data analysis.
methodsThe participants were 113 healthy older adults. PhA was measured using a bioelectrical impedance device. Time spent in light-intensity PA (LPA), moderate- to vigorous-intensity PA (MVPA), and SB was measured using a tri-axial accelerometer. Sleep duration information was self-reported in a questionnaire. Compositional multiple linear regression and compositional isotemporal substitution were performed to examine the associations of 24-h movement behaviors with PhA and hypothetical time reallocation in movement behaviors with PhA, respectively.
resultsEven after adjusting for potential confounders, relative to other behaviors more time spent in MVPA was significantly associated with higher PhA (p < 0.001). The 30 min/day of time reallocation from the other behaviors (SB, LPA, and sleep) to MVPA was predicted to be 0.12 higher PhA (corresponding to 2.3% increase; 95% CI 0.01, 0.24).
conclusionsOur results suggest that increasing or maintaining the daily time spent in MVPA is important for managing PhA in older adults, regardless of the other behaviors time consumed instead.
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