ArticleJournal of activity, sedentary and sleep behaviors2023
Analysing time-use composition as dependent variables in physical activity and sedentary behaviour research: different compositional data analysis approaches.
Article in Journal of activity, sedentary and sleep behaviors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Optimal 24-hour movement behaviour compositions across trimesters and risk of hypertensive disorders of pregnancy: the Pregnancy 24/7 cohort study.British journal of sports medicine · 2026Article
- Exploring the associations between physical activity, sleep, sedentary behaviour, and mental health in young German children.Journal of activity, sedentary and sleep behaviors · 2026Article
- The association between retirement and 24-hour movement behaviour composition in older adults.BMC public health · 2026Article
- Article
- Associations between 24-hour movement behaviours and psychological wellbeing in adolescents using compositional data analysis.Journal of activity, sedentary and sleep behaviors · 2025Article
- Compositional patterns of device-measured movement behaviour in juvenile idiopathic arthritis: results from the multicentre ActiMON study.Arthritis research & therapy · 2025Observational
- Differences in the temporal patterns of occupational time on feet and sitting between homecare and nursing home workers.Annals of work exposures and health · 2025Article
- What determines childcare workers physical behaviours at work? An investigation of determinants at the institution, team, and worker levels in Danish day nurseries.Annals of work exposures and health · 2025Article
- Daily time-use compositions of physical behaviours and its association with evaluative and experienced wellbeing: a multilevel compositional analysis.The international journal of behavioral nutrition and physical activity · 2025Article
- Assessing the damage: analyzing the impact of the COVID-19 pandemic on accelerometer-assessed 24-hour movement behaviours in Brazilian adolescents.BMC public health · 2025Article
- Machine learning in physical activity, sedentary, and sleep behavior research.Journal of activity, sedentary and sleep behaviors · 2024Review
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Authors and funding
1 author.
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Abstract
Recently, there has been a paradigm shift from considering physical activity and sedentary behaviour as "independent" risk factors of health to acknowledging their co-dependency and compositional nature. The focus is now on how these behaviours relate to each other rather than viewing them in isolation. Compositional data analysis (CoDA) is a methodology that has been developed specifically for compositional data and the number of publications using CoDA in physical activity and sedentary behaviour research has increased rapidly in the past years. Yet, only a small proportion of the published studies in physical activity and sedentary behaviour research have investigated the time-use composition as dependent variables. This could be related to challenges regarding the interpretation of the results and the lack of guidelines for deciding which statistical approach to use. Therefore, in this paper, four different approaches for analysing the time-use composition as dependent variables are presented and discussed. This paper advocates that the aim of research should guide how the dependent variable is defined and which data analysis approach is selected, and it encourages researchers to consider analysing time-use components as dependent variables in physical activity and sedentary behaviour research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.