The compositional isotemporal substitution model: A method for estimating changes in a health outcome for reallocation of time between sleep, physical activity and sedentary behaviour

How people use their time has been linked with their health. For example, spending more time being physically active is known to be beneficial for health, whereas long durations of sitting have been associated with unfavourable health outcomes. Accordingly, public health messages have advocated swap...

Full description

Saved in:
Bibliographic Details
Published in:Statistical methods in medical research 2019-03, Vol.28 (3), p.846-857
Main Authors: Dumuid, Dorothea, Pedišić, Željko, Stanford, Tyman Everleigh, Martín-Fernández, Josep-Antoni, Hron, Karel, Maher, Carol A, Lewis, Lucy K, Olds, Timothy
Format: Article
Language:English
Subjects:
Algorithms
Body mass index
Body size
Composition
Data analysis
Exercise
Health Status
Human behavior
Humans
Life Style
Messages
Models, Statistical
Pediatric Obesity
Physical activity
Public health
Regression analysis
Regression models
Sedentary
Sedentary Behavior
Sleep
Time Management
Time use
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:How people use their time has been linked with their health. For example, spending more time being physically active is known to be beneficial for health, whereas long durations of sitting have been associated with unfavourable health outcomes. Accordingly, public health messages have advocated swapping strategies to promote the reallocation of time between parts of the time-use composition, such as “Move More, Sit Less”, with the aim of achieving optimal distribution of time for health. However, the majority of research underpinning these public health messages has not considered daily time use as a composition, and has ignored the relative nature of time-use data. We present a way of applying compositional data analysis to estimate change in a health outcome when fixed durations of time are reallocated from one part of a particular time-use composition to another, while the remaining parts are kept constant, based on a multiple linear regression model on isometric log ratio coordinates. In an example, we examine the expected differences in Body Mass Index z-scores for reallocations of time between sleep, physical activity and sedentary behaviour.
ISSN:0962-2802
1477-0334
DOI:10.1177/0962280217737805