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

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dc.contributor.author Fairclough, Stuart J.
dc.contributor.author Dumuid, Dorothea
dc.contributor.author Taylor, Sarah L.
dc.contributor.author Curry, Whitney B.
dc.contributor.author McGrane, Bronagh
dc.contributor.author Stratton, Gareth
dc.contributor.author Maher, Carol A.
dc.contributor.author Olds, Timothy
dc.date.accessioned 2018-01-18T14:59:34Z
dc.date.available 2018-01-18T14:59:34Z
dc.date.issued 2017
dc.identifier.uri http://hdl.handle.net/10344/6459
dc.description peer-reviewed en_US
dc.description.abstract Background: Movement 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. Methods: This 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. Results: Replacing 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. Conclusions: Findings 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. en_US
dc.language.iso eng en_US
dc.publisher BioMed Central en_US
dc.relation.ispartofseries International Journal of Behavioral Nutrition and Physical Activity;14:64
dc.relation.uri http://dx.doi.org/10.1186/s12966-017-0521-z
dc.subject sedentary time en_US
dc.subject physical activity en_US
dc.subject accelerometer en_US
dc.subject LPA en_US
dc.subject MVPA en_US
dc.subject sleep en_US
dc.title Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1186/s12966-017-0521-z
dc.contributor.sponsor West Lancashire School Sport Partnership en_US
dc.contributor.sponsor West Lancashire Community Leisure Trust en_US
dc.contributor.sponsor Edge Hill University en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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