Compositional contributions and time reallocation of 24-hour movement behaviours and health-related quality of life among regional Australian children
Year: 2025
Type: article
Study design: Observational Study
Abstract: Introduction Compositional associations between 24-hour movement behaviours (physical activity [PA], sedentary behaviour [SED], and sleep) and children’s health related quality of life (HRQoL) are unknown. This study aimed to use compositional data analysis (CoDA) to explore the relationship between device-measured 24-hour movement behaviours and children’s HRQoL. Hypothetically reallocating time in 24-hour movement behaviours and children’s HRQoL were also explored. Methods This cross-sectional study included 268 primary school children (8-11 years) in South-West Victoria, Australia. Wrist-worn ActiGraph GT3X accelerometers assessed movement behaviours, and HRQoL was self-reported. CoDA was used to examine associations between movement behaviours and HRQoL, and an isotemporal substitution analysis explored hypothetical changes in HRQoL when reallocating 10 and 30 minutes between behaviours. Results On average, children spent 45.7% of their day sedentary, 27.2% in sleep, 22.1% in light-intensity PA (LPA), and 4.9% in moderate-to-vigorous PA (MVPA). A greater proportion of sleep relative to SED was positively associated with HRQoL (β = 11.274, 95% CI 5.456-17.093). Spending more time in MVPA relative to SED and LPA was related to higher HRQoL (β = 11.399, 95% CI 5.201-117.593); and LPA findings were mixed. Reallocating 10 minutes from SED, LPA and sleep to MVPA was associated with a higher HRQoL score (β =1.56; 95% CI 1.11, 2.01). Conclusions Findings suggest that a greater proportion of MVPA, sleep, and lower SED were positively associated with HRQoL. Future interventions should prioritise reducing SED and promoting MVPA and sleep within the 24-hr movement behaviours.
Institution: Deakin University
Language: English
Topic: Physical Activity and Health
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,360
OpenAlex ID: W4414569416