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

T, Cain C; Barnes, Claire Marie; Summers, Huw; Mackintosh, Kelly; Stratton, Gareth

doi:https://doi.org/

Journal article 1052 views

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

Cain C T Clark, Claire Marie Barnes, Huw Summers

, Kelly Mackintosh

, Gareth Stratton

European Journal of Human Movement, Volume: 39, Pages: 143 - 160

Swansea University Authors: Huw Summers , Kelly Mackintosh , Gareth Stratton

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Abstract

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 c...

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Published in:	European Journal of Human Movement
ISSN:	2386-4095
Published:	2017
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa38121
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first_indexed	2018-01-16T13:59:01Z
last_indexed	2018-03-06T14:12:37Z
id	cronfa38121
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spelling	2018-03-06T13:00:51.1360207 v2 38121 2018-01-16 Profiling Movement Quality Characteristics of Children (9-11y) During Recess a61c15e220837ebfa52648c143769427 0000-0002-0898-5612 Huw Summers Huw Summers true false bdb20e3f31bcccf95c7bc116070c4214 0000-0003-0355-6357 Kelly Mackintosh Kelly Mackintosh true false 6d62b2ed126961bed81a94a2beba8a01 0000-0001-5618-0803 Gareth Stratton Gareth Stratton true false 2018-01-16 MEDE 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. Journal Article European Journal of Human Movement 39 143 160 2386-4095 31 12 2017 2017-12-31 http://www.eurjhm.com/index.php/eurjhm/article/view/433 COLLEGE NANME Biomedical Engineering COLLEGE CODE MEDE Swansea University 2018-03-06T13:00:51.1360207 2018-01-16T12:45:20.8747817 Faculty of Science and Engineering School of Engineering and Applied Sciences - Biomedical Engineering Cain C T Clark 1 Claire Marie Barnes 2 Huw Summers 0000-0002-0898-5612 3 Kelly Mackintosh 0000-0003-0355-6357 4 Gareth Stratton 0000-0001-5618-0803 5
title	Profiling Movement Quality Characteristics of Children (9-11y) During Recess
spellingShingle	Profiling Movement Quality Characteristics of Children (9-11y) During Recess Huw Summers Kelly Mackintosh Gareth Stratton
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
author_id_str_mv	a61c15e220837ebfa52648c143769427 bdb20e3f31bcccf95c7bc116070c4214 6d62b2ed126961bed81a94a2beba8a01
author_id_fullname_str_mv	a61c15e220837ebfa52648c143769427_*_Huw Summers bdb20e3f31bcccf95c7bc116070c4214__Kelly Mackintosh 6d62b2ed126961bed81a94a2beba8a01_**_Gareth Stratton
author	Huw Summers Kelly Mackintosh Gareth Stratton
author2	Cain C T Clark Claire Marie Barnes Huw Summers Kelly Mackintosh Gareth Stratton
format	Journal article
container_title	European Journal of Human Movement
container_volume	39
container_start_page	143
publishDate	2017
institution	Swansea University
issn	2386-4095
college_str	Faculty of Science and Engineering
hierarchytype
hierarchy_top_id	facultyofscienceandengineering
hierarchy_top_title	Faculty of Science and Engineering
hierarchy_parent_id	facultyofscienceandengineering
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department_str	School of Engineering and Applied Sciences - Biomedical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Biomedical Engineering
url	http://www.eurjhm.com/index.php/eurjhm/article/view/433
document_store_str	0
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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.
published_date	2017-12-31T03:48:10Z
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Profiling Movement Quality Characteristics of Children (9-11y) During Recess

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