The health effects of daily activity behaviours (physical activity, sedentary time and sleep) are widely studied. While previous research has largely examined activity behaviours in isolation, recent studies have adjusted for multiple behaviours. However, the inclusion of all activity behaviours in traditional multivariate analyses has not been possible due to the perfect multicollinearity of 24-h time budget data. The ensuing lack of adjustment for known effects on the outcome undermines the validity of study findings. We describe a statistical approach that enables the inclusion of all daily activity behaviours, based on the principles of compositional data analysis. Using data from the International Study of Childhood Obesity, Lifestyle and the Environment, we demonstrate the application of compositional multiple linear regression to estimate adiposity from children's daily activity behaviours expressed as isometric log-ratio coordinates. We present a novel method for predicting change in a continuous outcome based on relative changes within a composition, and for calculating associated confidence intervals to allow for statistical inference. The compositional data analysis presented overcomes the lack of adjustment that has plagued traditional statistical methods in the field, and provides robust and reliable insights into the health effects of daily activity behaviours.

Department for Health University of Bath Bath UK

Department of Exercise Science Syracuse University Syracuse NY USA

Department of Food and Environmental Sciences Helsingin Yliopisto Helsinki Finland

Department of Human Biology University of Cape Town Cape Town South Africa

Department of Kinesiology University of Massachusetts Amherst MA USA

Department of Mathematical Analysis and Applications of Mathematics Univerzita Palackeho Olomouc Czech Republic

Dept Informàtica Matemàtica Aplicada i Estadística Universitat de Girona Girona Spain

Faculdade de Desporto Universidade do Porto Porto Portugal

Faculty of Medicine Universidad de los Andes Bogota Colombia

Healthy Active Living and Obesity Research Children's Hospital of Eastern Ontario Research Institute Ottawa Canada

Institute of Sport Exercise and Active Living Victoria University Melbourne Australia

Pennington Biomedical Research Center Baton Rouge LA USA

School of Health Sciences University of South Australia Adelaide Australia

School of Mathematical Sciences University of Adelaide Adelaide Australia

Citace poskytuje Crossref.org

Individual physical activity preferences of adolescents in the Czech Republic and Poland: a 14-year comparative study reflecting the gender trends and prospective responses to global lifestyle challenges

Compositional functional regression and isotemporal substitution analysis: Methods and application in time-use epidemiology

Longitudinal reallocations of time between 24-h movement behaviours and their associations with inflammation in children and adolescents: the UP&DOWN study

A 24-h activity profile and adiposity among children and adolescents: Does the difference between school and weekend days matter?

Your best day: An interactive app to translate how time reallocations within a 24-hour day are associated with health measures

The Physical Behaviour Intensity Spectrum and Body Mass Index in School-Aged Youth: A Compositional Analysis of Pooled Individual Participant Data

A study on prospective associations between adiposity and 7-year changes in movement behaviors among older women based on compositional data analysis

Robust principal component analysis for compositional tables

Replacing school and out-of-school sedentary behaviors with physical activity and its associations with adiposity in children and adolescents: a compositional isotemporal substitution analysis

How do short sleepers use extra waking hours? A compositional analysis of 24-h time-use patterns among children and adolescents

Sedentary behavior patterns and adiposity in children: a study based on compositional data analysis

Are longitudinal reallocations of time between movement behaviours associated with adiposity among elderly women? A compositional isotemporal substitution analysis

Compositional Data Analysis in Time-Use Epidemiology: What, Why, How

Adiposity and changes in movement-related behaviors in older adult women in the context of the built environment: a protocol for a prospective cohort study

Robust Compositional Analysis of Physical Activity and Sedentary Behaviour Data

Reallocating Time from Sedentary Behavior to Light and Moderate-to-Vigorous Physical Activity: What Has a Stronger Association with Adiposity in Older Adult Women?