Profiling Movement Quality Characteristics of Children (9-11y) During Recess

Introduction. Frequency spectrum characteristics derived from raw accelerometry, such as spectral purity, have the potential to reveal detailed information about children’s movement quality, but remain unexplored in children’s physical activity. The aim of this study was to investigate and profile...

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Main Authors: Cain Craig Truman Clark, Claire Marie Barnes, Huw D Summers, Kelly Mackintosh, Gareth Stratton
Format: Article
Language:English
Published: Asociación Española de Ciencias del Deporte 2018-01-01
Series:European Journal of Human Movement
Online Access:https://eurjhm.com/index.php/eurjhm/article/view/433
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spelling doaj-e29e68908f7c42498a89f9efde9027bd2020-11-25T03:51:29ZengAsociación Española de Ciencias del DeporteEuropean Journal of Human Movement2386-40952018-01-0139Profiling Movement Quality Characteristics of Children (9-11y) During RecessCain Craig Truman Clark0Claire Marie Barnes1Huw D Summers2Kelly Mackintosh3Gareth Stratton4Sport, Exercise and Well-Being Research Arena, University Centre Hartpury, Gloucestershire, England, GL19 3BE., and; Engineering Behaviour Analytics in Sport and Exercise (E-BASE) Research group, College of Engineering, Bay Campus, Swansea University, Fabian Way, Swansea, Wales, SA1 8EN.Applied Sports Science Technology and Medicine Research Centre (A-STEM), College of Engineering, Bay Campus, Swansea University, Fabian Way, Swansea, Wales, SA1 8EN., and; Engineering Behaviour Analytics in Sport and Exercise (E-BASE) Research group, College of Engineering, Bay Campus, Swansea University, Fabian Way, Swansea, Wales, SA1 8ENApplied Sports Science Technology and Medicine Research Centre (A-STEM), College of Engineering, Bay Campus, Swansea University, Fabian Way, Swansea, Wales, SA1 8EN., and; Engineering Behaviour Analytics in Sport and Exercise (E-BASE) Research group, College of Engineering, Bay Campus, Swansea University, Fabian Way, Swansea, Wales, SA1 8ENApplied Sports Science Technology and Medicine Research Centre (A-STEM), College of Engineering, Bay Campus, Swansea University, Fabian Way, Swansea, Wales, SA1 8EN., and; Engineering Behaviour Analytics in Sport and Exercise (E-BASE) Research group, College of Engineering, Bay Campus, Swansea University, Fabian Way, Swansea, Wales, SA1 8ENApplied Sports Science Technology and Medicine Research Centre (A-STEM), College of Engineering, Bay Campus, Swansea University, Fabian Way, Swansea, Wales, SA1 8EN., and; Engineering Behaviour Analytics in Sport and Exercise (E-BASE) Research group, College of Engineering, Bay Campus, Swansea University, Fabian Way, Swansea, Wales, SA1 8EN Introduction. Frequency spectrum characteristics derived from raw accelerometry, such as spectral purity, have the potential to reveal detailed information about children’s movement quality, but remain unexplored in children’s physical activity. The aim of this study was to investigate and profile children’s recess physical activity and movement quality using a novel analytical approach. Materials and Methods. A powered sample of twenty-four children (18 boys) (10.5±0.6y, 1.44±0.09m, 39.6±9.5kg, body mass index; 18.8±3.1 kg.m2) wore an ankle-mounted accelerometer during school recess, for one school-week. Hierarchical clustering, Spearman’s rho and the Mann-Whitney U test were used to assess relationships between characteristics, and to assess inter-day differences. Results. There were no significant inter-day differences found for overall activity (P>0.05), yet significant differences were found for spectral purity derived movement quality (P<0.001). Overall activity was hierarchically clustered, and positively correlated, with spectral purity (P<0.05). Discussion. This is the first study to report spectral purity derived movement quality of children’s physical activity in an uncontrolled setting and our results highlight potential for future research. https://eurjhm.com/index.php/eurjhm/article/view/433
collection DOAJ
language English
format Article
sources DOAJ
author Cain Craig Truman Clark
Claire Marie Barnes
Huw D Summers
Kelly Mackintosh
Gareth Stratton
spellingShingle Cain Craig Truman Clark
Claire Marie Barnes
Huw D Summers
Kelly Mackintosh
Gareth Stratton
Profiling Movement Quality Characteristics of Children (9-11y) During Recess
European Journal of Human Movement
author_facet Cain Craig Truman Clark
Claire Marie Barnes
Huw D Summers
Kelly Mackintosh
Gareth Stratton
author_sort Cain Craig Truman Clark
title Profiling Movement Quality Characteristics of Children (9-11y) During Recess
title_short Profiling Movement Quality Characteristics of Children (9-11y) During Recess
title_full Profiling Movement Quality Characteristics of Children (9-11y) During Recess
title_fullStr Profiling Movement Quality Characteristics of Children (9-11y) During Recess
title_full_unstemmed Profiling Movement Quality Characteristics of Children (9-11y) During Recess
title_sort profiling movement quality characteristics of children (9-11y) during recess
publisher Asociación Española de Ciencias del Deporte
series European Journal of Human Movement
issn 2386-4095
publishDate 2018-01-01
description Introduction. Frequency spectrum characteristics derived from raw accelerometry, such as spectral purity, have the potential to reveal detailed information about children’s movement quality, but remain unexplored in children’s physical activity. The aim of this study was to investigate and profile children’s recess physical activity and movement quality using a novel analytical approach. Materials and Methods. A powered sample of twenty-four children (18 boys) (10.5±0.6y, 1.44±0.09m, 39.6±9.5kg, body mass index; 18.8±3.1 kg.m2) wore an ankle-mounted accelerometer during school recess, for one school-week. Hierarchical clustering, Spearman’s rho and the Mann-Whitney U test were used to assess relationships between characteristics, and to assess inter-day differences. Results. There were no significant inter-day differences found for overall activity (P>0.05), yet significant differences were found for spectral purity derived movement quality (P<0.001). Overall activity was hierarchically clustered, and positively correlated, with spectral purity (P<0.05). Discussion. This is the first study to report spectral purity derived movement quality of children’s physical activity in an uncontrolled setting and our results highlight potential for future research.
url https://eurjhm.com/index.php/eurjhm/article/view/433
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