Profiling movement quality and gait characteristics according to body-mass index in children (9-11 y)

Cain C T Clark, Claire M Barnes, Mark Holton, Huw D Summers, Gareth Stratton

Research output: Contribution to journalArticle

8 Citations (Scopus)
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Abstract

Obese children move less and with greater difficulty than their normal-weight counterparts. Whilst the effect of high BMI on cardiovascular fitness is well known, the effect on movement quality characteristics during a standardised fitness test has not been investigated. The aims of this study were, to characterise the movement quality of children performing the multi-stage fitness test (MSFT), and, report how movement quality characteristics cluster according to weight status. One hundred and three children (10.3±0.6 y, 1.42±0.08m, 37.8±9.3kg, BMI; 18.5±3.3kgm(2)) performed the MSFT whilst wearing an ankle mounted accelerometer. BMI groups were used to classify children as underweight (UW), normal weight (NW), overweight (OW) and obese (OB). Characteristics of movement were profiled using a clustering algorithm. Spearman's rho was used to assess relationship with BMI group, and a Mann-Whitney U test was used to assess differences between BMI groups. Obese children had significantly lower spectral purity than every other group and significantly lower time to exhaustion (TTE) than UW and NW children (P<0.05). BMI was clustered with stride profile and TTE with spectral purity. Significant negative correlations (P<0.05) were found between BMI and TTE (r=-0.25), spectral purity (r=-0.24), integrated acceleration (r=-0.22), stride angle (r=-0.23) and stride variability (r=-0.22). This was the first study to report the spectral purity of children's gait. Further analysis unveiled key performance characteristics that differed between BMI groups. These were (i) representative of children's performance during the MSFT and, (ii) significantly negatively correlated with BMI.

Original languageEnglish
Pages (from-to)291-300
Number of pages10
JournalHuman Movement Science
Volume49
Early online date13 Aug 2016
DOIs
Publication statusPublished - Oct 2016
Externally publishedYes

Fingerprint

Gait
Body Mass Index
Weights and Measures
Thinness
Nonparametric Statistics
Ankle
Cluster Analysis

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Human Movement Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Human Movement Science, Vol 49 (2016) DOI: 10.1016/j.humov.2016.08.003
© 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

  • Accelerometry
  • Adolescent
  • Body Mass Index
  • Child
  • Female
  • Gait/physiology
  • Humans
  • Male
  • Movement/physiology
  • Obesity/physiopathology
  • Overweight/physiopathology
  • Physical Fitness
  • Statistics as Topic
  • Walking/physiology

Cite this

Profiling movement quality and gait characteristics according to body-mass index in children (9-11 y). / Clark, Cain C T; Barnes, Claire M; Holton, Mark; Summers, Huw D; Stratton, Gareth.

In: Human Movement Science, Vol. 49, 10.2016, p. 291-300.

Research output: Contribution to journalArticle

Clark, Cain C T ; Barnes, Claire M ; Holton, Mark ; Summers, Huw D ; Stratton, Gareth. / Profiling movement quality and gait characteristics according to body-mass index in children (9-11 y). In: Human Movement Science. 2016 ; Vol. 49. pp. 291-300.
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