Compositional contributions and time reallocation of 24-hour movement behaviours and health-related quality of life among regional Australian children

IF 2.6 3区医学 Q2 PSYCHIATRY

Mental Health and Physical Activity Pub Date : 2025-10-01 DOI:10.1016/j.mhpa.2025.100721

Gunchmaa Nyam, Natalie Lander, Ana Maria Contardo Ayala, Jo Salmon, Claudia Strugnell

{"title":"Compositional contributions and time reallocation of 24-hour movement behaviours and health-related quality of life among regional Australian children","authors":"Gunchmaa Nyam, Natalie Lander, Ana Maria Contardo Ayala, Jo Salmon, Claudia Strugnell","doi":"10.1016/j.mhpa.2025.100721","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Compositional associations between 24-h 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-h movement behaviours and children's HRQoL. Hypothetically reallocating time in 24-h movement behaviours and children's HRQoL were also explored.</div></div><div><h3>Methods</h3><div>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 min between behaviours.</div></div><div><h3>Results</h3><div>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 min from SED, LPA and sleep to MVPA was associated with a higher HRQoL score (β = 1.56; 95 % CI 1.11, 2.01).</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":51589,"journal":{"name":"Mental Health and Physical Activity","volume":"29 ","pages":"Article 100721"},"PeriodicalIF":2.6000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mental Health and Physical Activity","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1755296625000523","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}

引用次数: 0

Abstract

Introduction

Compositional associations between 24-h 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-h movement behaviours and children's HRQoL. Hypothetically reallocating time in 24-h 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 min 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 min 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.

查看原文本刊更多论文

澳大利亚地区儿童24小时运动行为与健康相关生活质量的构成贡献和时间重新分配

24小时运动行为（体力活动[PA]、久坐行为[SED]和睡眠）与儿童健康相关生活质量（HRQoL）之间的成分关联尚不清楚。本研究旨在利用成分数据分析（CoDA）探讨设备测量的24小时运动行为与儿童HRQoL之间的关系。对24小时运动行为和儿童HRQoL的重新分配时间进行了假设研究。方法对澳大利亚维多利亚州西南部的268名8-11岁小学生进行横断面研究。腕带ActiGraph GT3X加速度计评估运动行为，HRQoL自行报告。CoDA用于检查运动行为与HRQoL之间的关系，并采用等时间替代分析探讨了在不同行为之间重新分配10和30分钟时HRQoL的假设变化。结果平均而言，儿童每天有45.7%的时间是久坐不动的，27.2%的时间是睡眠时间，22.1%的时间是低强度活动（LPA）， 4.9%的时间是中高强度活动（MVPA）。睡眠比例大于SED与HRQoL呈正相关（β = 11.274, 95% CI 5.456-17.093）。相对于SED和LPA， MVPA时间较长与HRQoL较高相关（β = 11.399, 95% CI 5.201 ~ 117.593）；LPA的研究结果好坏参半。从SED、LPA和睡眠中重新分配10分钟到MVPA与更高的HRQoL评分相关（β = 1.56; 95% CI 1.11, 2.01）。结论MVPA、睡眠、低SED与HRQoL呈正相关。未来的干预措施应优先考虑减少SED和促进MVPA和24小时运动行为的睡眠。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Mental Health and Physical Activity PSYCHIATRY-

CiteScore

6.70

自引率

6.40%

发文量

审稿时长

32 days

期刊介绍： The aims of Mental Health and Physical Activity will be: (1) to foster the inter-disciplinary development and understanding of the mental health and physical activity field; (2) to develop research designs and methods to advance our understanding; (3) to promote the publication of high quality research on the effects of physical activity (interventions and a single session) on a wide range of dimensions of mental health and psychological well-being (eg, depression, anxiety and stress responses, mood, cognitive functioning and neurological disorders, such as dementia, self-esteem and related constructs, psychological aspects of quality of life among people with physical and mental illness, sleep, addictive disorders, eating disorders), from both efficacy and effectiveness trials;