Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data

International Journal of Behavioral Nutrition and Physical Activity

Research

Dorothea Dumuid¹  Carol Maher¹  Timothy Olds¹  Whitney Curry²  Sarah Taylor²  Stuart J. Fairclough³  Gareth Stratton⁴  Bronagh McGrane⁵ 

[1] Alliance for Research in Exercise Nutrition and Activity (ARENA), Sansom Institute, School of Health Sciences, University of South Australia, Adelaide, Australia;Physical Activity and Health Research Group, Department of Sport and Physical Activity, Edge Hill University, St Helens Road, Ormskirk, Lancashire, UK;Physical Activity and Health Research Group, Department of Sport and Physical Activity, Edge Hill University, St Helens Road, Ormskirk, Lancashire, UK;Department of Physical Education and Sports Science, University of Limerick, Limerick, Ireland;Research Centre in Applied Sports, Technology Exercise and Medicine, College of Engineering, Swansea University, Swansea, Wales, UK;School of Arts Education and Movement, Dublin City University, Institute of Education, St Patrick’s Campus, Dublin, Ireland;

关键词: Sedentary time;    Physical activity;    Accelerometer;    LPA;    MVPA;    Sleep;   

DOI  :  10.1186/s12966-017-0521-z

 received in 2016-12-16, accepted in 2017-04-27,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundMovement behaviours performed over a finite period such as a 24 h day are compositional data. Compositional data exist in a constrained simplex geometry that is incongruent with traditional multivariate analytical techniques. However, the expression of compositional data as log-ratio co-ordinate systems transfers them to the unconstrained real space, where standard multivariate statistics can be used. This study aimed to use a compositional data analysis approach to examine the adiposity and cardiorespiratory fitness predictions of time reallocations between children’s daily movement behaviours.MethodsThis study used cross-sectional data from the Active Schools: Skelmersdale study, which involved Year 5 children from a low-income community in northwest England (n = 169). Measures included accelerometer-derived 24 h activity (sedentary time [ST], light physical activity [LPA], moderate-to-vigorous physical activity [MVPA], and sleep), cardiorespiratory fitness determined by the 20 m shuttle run test, objectively measured height, weight and waist circumference (from which zBMI and percent waist circumference-to-height ratio (%WHtR) were derived) and sociodemographic covariates. Log-ratio multiple linear regression models were used to predict adiposity and fitness for the mean movement behaviour composition, and for new compositions where fixed durations of time had been reallocated from one behaviour to another, while the remaining behaviours were unchanged. Predictions were also made for reallocations of fixed durations of time using the mean composition of three different weight status categories (underweight, normal-weight, and overweight/obese) as the starting point.ResultsReplacing MVPA with any other movement behaviour around the mean movement composition predicted higher adiposity and lower CRF. The log-ratio model predictions were asymmetrical: when time was reallocated to MVPA from sleep, ST, or LPA, the estimated detriments to fitness and adiposity were larger in magnitude than the estimated benefits of time reallocation from MVPA to sleep, ST or LPA. The greatest differences in fitness and fatness for reallocation of fixed duration of MVPA were predicted at the mean composition of overweight/obese children.ConclusionsFindings reinforce the key role of MVPA for children’s health. Reallocating time from ST and LPA to MVPA in children is advocated in school, home, and community settings.

【 授权许可】

CC BY   
© The Author(s). 2017