Twenty-Four-Hour Compositional Data Analysis in Healthcare: Clinical Potential and Future Directions

Clark, Cain and Martins, Clarice Maria de Lucena (2025) Twenty-Four-Hour Compositional Data Analysis in Healthcare: Clinical Potential and Future Directions. International Journal of Environmental Research and Public Health, 22 (7). p. 1002. ISSN 1660-4601

Preview

Text ijerph-22-01002.pdf - Published Version Available under License Creative Commons Attribution. Download (275kB)

Abstract

Compositional Data Analysis (CoDA) is a powerful statistical approach for analyzing 24 h time-use data, effectively addressing the interdependence of sleep, sedentary behavior, and physical activity. Unlike traditional methods that struggle with perfect multicollinearity, CoDA handles time use as proportions of a whole, providing biologically meaningful insights into how daily activity patterns relate to health. Applications in epidemiology have linked variations in time allocation between behaviors to key health outcomes, including adiposity, cardiometabolic health, cognitive function, fitness, quality of life, glycomics, clinical psychometrics, and mental well-being. Research consistently shows that reallocating time from sedentary behavior to sleep or moderate-to-vigorous physical activity (MVPA) improves health outcomes. Importantly, CoDA reveals that optimal activity patterns vary across populations, supporting the need for personalized, context-specific recommendations rather than one-size-fits-all guidelines. By overcoming challenges in implementation and interpretation, CoDA has the potential to transform healthcare analytics and deepen our understanding of lifestyle behaviors’ impact on health.

Item Type:	Article
Identification Number:	10.3390/ijerph22071002
Dates:	Date Event 23 June 2025 Accepted 25 June 2025 Published Online
Uncontrolled Keywords:	Compositional Data Analysis, epidemiology, behavior, time use
Subjects:	CAH03 - biological and sport sciences > CAH03-02 - sport and exercise sciences > CAH03-02-01 - sport and exercise sciences
Divisions:	Life and Health Sciences > Life and Sports Sciences
Depositing User:	Gemma Tonks
Date Deposited:	15 Oct 2025 10:02
Last Modified:	15 Oct 2025 10:02
URI:	https://www.open-access.bcu.ac.uk/id/eprint/16675

Actions (login required)

View Item