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

Overview of attention for article published in International Journal of Behavioral Nutrition and Physical Activity, May 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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37 tweeters
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1 Facebook page

Citations

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31 Dimensions

Readers on

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86 Mendeley
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Title
Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data
Published in
International Journal of Behavioral Nutrition and Physical Activity, May 2017
DOI 10.1186/s12966-017-0521-z
Pubmed ID
Authors

Stuart J. Fairclough, Dorothea Dumuid, Sarah Taylor, Whitney Curry, Bronagh McGrane, Gareth Stratton, Carol Maher, Timothy Olds

Abstract

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. 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. 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. 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.

Twitter Demographics

The data shown below were collected from the profiles of 37 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 16 19%
Student > Master 16 19%
Researcher 15 17%
Student > Ph. D. Student 12 14%
Student > Bachelor 8 9%
Other 19 22%
Readers by discipline Count As %
Sports and Recreations 28 33%
Unspecified 23 27%
Nursing and Health Professions 9 10%
Psychology 6 7%
Medicine and Dentistry 5 6%
Other 15 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 June 2017.
All research outputs
#601,574
of 12,878,318 outputs
Outputs from International Journal of Behavioral Nutrition and Physical Activity
#300
of 1,322 outputs
Outputs of similar age
#22,511
of 260,873 outputs
Outputs of similar age from International Journal of Behavioral Nutrition and Physical Activity
#17
of 38 outputs
Altmetric has tracked 12,878,318 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,322 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.7. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 260,873 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.