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Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data / Stuart J. Fairclough, Dorothea Dumuid, Sarah Taylor, Whitney Curry, Bronagh McGrane, Gareth Stratton, Carol Maher, Timothy Olds

International Journal of Behavioral Nutrition and Physical Activity, Volume: 14, Issue: 1

Swansea University Author: Gareth Stratton

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Abstract

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-or...

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Published in: International Journal of Behavioral Nutrition and Physical Activity
ISSN: 1479-5868 1479-5868
Published: 2017
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-12-17T12:23:44.4393980</datestamp><bib-version>v2</bib-version><id>33645</id><entry>2017-05-10</entry><title>Fitness, fatness and the reallocation of time between children&#x2019;s daily movement behaviours: an analysis of compositional data</title><swanseaauthors><author><sid>6d62b2ed126961bed81a94a2beba8a01</sid><ORCID>0000-0001-5618-0803</ORCID><firstname>Gareth</firstname><surname>Stratton</surname><name>Gareth Stratton</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2017-05-10</date><deptcode>STSC</deptcode><abstract>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&#x2019;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&#x2019;s health. 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spelling 2020-12-17T12:23:44.4393980 v2 33645 2017-05-10 Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data 6d62b2ed126961bed81a94a2beba8a01 0000-0001-5618-0803 Gareth Stratton Gareth Stratton true false 2017-05-10 STSC 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. Journal Article International Journal of Behavioral Nutrition and Physical Activity 14 1 1479-5868 1479-5868 Sedentary time, Physical activity, Accelerometer, LPA, MVPA, Sleep 10 5 2017 2017-05-10 10.1186/s12966-017-0521-z COLLEGE NANME Sport and Exercise Sciences COLLEGE CODE STSC Swansea University 2020-12-17T12:23:44.4393980 2017-05-10T14:06:05.8085846 College of Engineering Engineering Stuart J. Fairclough 1 Dorothea Dumuid 2 Sarah Taylor 3 Whitney Curry 4 Bronagh McGrane 5 Gareth Stratton 0000-0001-5618-0803 6 Carol Maher 7 Timothy Olds 8 0033645-10052017140831.pdf fairclough2017.pdf 2017-05-10T14:08:31.8430000 Output 546044 application/pdf Version of Record true 2017-05-10T00:00:00.0000000 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License true eng
title Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data
spellingShingle Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data
Gareth, Stratton
title_short Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data
title_full Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data
title_fullStr Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data
title_full_unstemmed Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data
title_sort Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data
author_id_str_mv 6d62b2ed126961bed81a94a2beba8a01
author_id_fullname_str_mv 6d62b2ed126961bed81a94a2beba8a01_***_Gareth, Stratton
author Gareth, Stratton
author2 Stuart J. Fairclough
Dorothea Dumuid
Sarah Taylor
Whitney Curry
Bronagh McGrane
Gareth Stratton
Carol Maher
Timothy Olds
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container_title International Journal of Behavioral Nutrition and Physical Activity
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publishDate 2017
institution Swansea University
issn 1479-5868
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doi_str_mv 10.1186/s12966-017-0521-z
college_str College of Engineering
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hierarchy_top_title College of Engineering
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description 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.
published_date 2017-05-10T03:51:26Z
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