No Cover Image

Journal article 766 views 176 downloads

Individual calibration of accelerometers in children and their health-related implications

Lynne M. Boddy, Conor Cunningham, Stuart J. Fairclough, Marie H. Murphy, Gavin Breslin, Lawrence Foweather, Rebecca M. Dagger, Lee E. F. Graves, Nicola D. Hopkins, Gareth Stratton Orcid Logo

Journal of Sports Sciences, Pages: 1 - 6

Swansea University Author: Gareth Stratton Orcid Logo

Check full text

DOI (Published version): 10.1080/02640414.2017.1377842

Abstract

This study compared children’s physical activity (PA) levels, the prevalence of children meeting current guidelines of ≥60 minutes of daily moderate to vigorous PA (MVPA), and PA-health associations using individually calibrated (IC) and empirical accelerometer cutpoints. Data from 75 (n = 32 boys)...

Full description

Published in: Journal of Sports Sciences
ISSN: 0264-0414 1466-447X
Published: 2017
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa35133
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2017-09-06T13:06:05Z
last_indexed 2018-02-09T05:25:58Z
id cronfa35133
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2017-11-10T15:16:39.1552679</datestamp><bib-version>v2</bib-version><id>35133</id><entry>2017-09-06</entry><title>Individual calibration of accelerometers in children and their health-related implications</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>2017-09-06</date><deptcode>STSC</deptcode><abstract>This study compared children&#x2019;s physical activity (PA) levels, the prevalence of children meeting current guidelines of &#x2265;60 minutes of daily moderate to vigorous PA (MVPA), and PA-health associations using individually calibrated (IC) and empirical accelerometer cutpoints. Data from 75 (n = 32 boys) 10&#x2013;12 year old children were included in this study. Clustered cardiometabolic (CM) risk, directly measured cardiorespiratory fitness (CRF), anthropometric and 7 day accelerometer data were included within analysis. PA data were classified using Froude anchored IC, Evenson et al. (Evenson, K. R., Catellier, D. J., Gill, K., Ondrak, K. S., &amp; McMurray, R. G. (2008). Calibration of two objective measures of physical activity for children. Journal of Sports Sciences, 26(14), 1557&#x2013;1565. doi:10.1080/02640410802334196) (Ev) and Mackintosh et al. (Mackintosh, K. A., Fairclough, S. J., Stratton, G., &amp; Ridgers, N. D. (2012). A calibration protocol for population-specific accelerometer cutpoints in children. PLoS One, 7(5), e36919. doi:10.1371/journal.pone.0036919) (Mack) cutpoints. The proportion of the cohort meeting &#x2265;60mins MVPA/day ranged from 37%-56% depending on the cutpoints used. Reported PA differed significantly across the cutpoint sets. IC LPA and MPA were predictors of CRF (LPA: standardised &#x3B2; = 0.32, p = 0.002, MPA: standardised &#x3B2; = 0.27 p = 0.013). IC MPA also predicted BMI Z-score (standardised &#x3B2; = &#x2212;0.35, p = 0.004). Ev VPA was a predictor of BMI Z-score (standardised &#x3B2; = &#x2212;0.33, p = 0.012). Cutpoint choice has a substantial impact on reported PA levels though no significant associations with CM risk were observed. Froude IC cutpoints represent a promising approach towards classifying children&#x2019;s PA data.</abstract><type>Journal Article</type><journal>Journal of Sports Sciences</journal><paginationStart>1</paginationStart><paginationEnd>6</paginationEnd><publisher/><issnPrint>0264-0414</issnPrint><issnElectronic>1466-447X</issnElectronic><keywords>Physical activity, accelerometry, threshold, children</keywords><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2017</publishedYear><publishedDate>2017-12-31</publishedDate><doi>10.1080/02640414.2017.1377842</doi><url/><notes/><college>COLLEGE NANME</college><department>Sport and Exercise Sciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>STSC</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2017-11-10T15:16:39.1552679</lastEdited><Created>2017-09-06T10:34:41.2774338</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences</level></path><authors><author><firstname>Lynne M.</firstname><surname>Boddy</surname><order>1</order></author><author><firstname>Conor</firstname><surname>Cunningham</surname><order>2</order></author><author><firstname>Stuart J.</firstname><surname>Fairclough</surname><order>3</order></author><author><firstname>Marie H.</firstname><surname>Murphy</surname><order>4</order></author><author><firstname>Gavin</firstname><surname>Breslin</surname><order>5</order></author><author><firstname>Lawrence</firstname><surname>Foweather</surname><order>6</order></author><author><firstname>Rebecca M.</firstname><surname>Dagger</surname><order>7</order></author><author><firstname>Lee E. F.</firstname><surname>Graves</surname><order>8</order></author><author><firstname>Nicola D.</firstname><surname>Hopkins</surname><order>9</order></author><author><firstname>Gareth</firstname><surname>Stratton</surname><orcid>0000-0001-5618-0803</orcid><order>10</order></author></authors><documents><document><filename>0035133-10112017151557.pdf</filename><originalFilename>boddy2017.pdf</originalFilename><uploaded>2017-11-10T15:15:57.0200000</uploaded><type>Output</type><contentLength>556063</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2019-02-18T00:00:00.0000000</embargoDate><copyrightCorrect>false</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2017-11-10T15:16:39.1552679 v2 35133 2017-09-06 Individual calibration of accelerometers in children and their health-related implications 6d62b2ed126961bed81a94a2beba8a01 0000-0001-5618-0803 Gareth Stratton Gareth Stratton true false 2017-09-06 STSC This study compared children’s physical activity (PA) levels, the prevalence of children meeting current guidelines of ≥60 minutes of daily moderate to vigorous PA (MVPA), and PA-health associations using individually calibrated (IC) and empirical accelerometer cutpoints. Data from 75 (n = 32 boys) 10–12 year old children were included in this study. Clustered cardiometabolic (CM) risk, directly measured cardiorespiratory fitness (CRF), anthropometric and 7 day accelerometer data were included within analysis. PA data were classified using Froude anchored IC, Evenson et al. (Evenson, K. R., Catellier, D. J., Gill, K., Ondrak, K. S., & McMurray, R. G. (2008). Calibration of two objective measures of physical activity for children. Journal of Sports Sciences, 26(14), 1557–1565. doi:10.1080/02640410802334196) (Ev) and Mackintosh et al. (Mackintosh, K. A., Fairclough, S. J., Stratton, G., & Ridgers, N. D. (2012). A calibration protocol for population-specific accelerometer cutpoints in children. PLoS One, 7(5), e36919. doi:10.1371/journal.pone.0036919) (Mack) cutpoints. The proportion of the cohort meeting ≥60mins MVPA/day ranged from 37%-56% depending on the cutpoints used. Reported PA differed significantly across the cutpoint sets. IC LPA and MPA were predictors of CRF (LPA: standardised β = 0.32, p = 0.002, MPA: standardised β = 0.27 p = 0.013). IC MPA also predicted BMI Z-score (standardised β = −0.35, p = 0.004). Ev VPA was a predictor of BMI Z-score (standardised β = −0.33, p = 0.012). Cutpoint choice has a substantial impact on reported PA levels though no significant associations with CM risk were observed. Froude IC cutpoints represent a promising approach towards classifying children’s PA data. Journal Article Journal of Sports Sciences 1 6 0264-0414 1466-447X Physical activity, accelerometry, threshold, children 31 12 2017 2017-12-31 10.1080/02640414.2017.1377842 COLLEGE NANME Sport and Exercise Sciences COLLEGE CODE STSC Swansea University 2017-11-10T15:16:39.1552679 2017-09-06T10:34:41.2774338 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences Lynne M. Boddy 1 Conor Cunningham 2 Stuart J. Fairclough 3 Marie H. Murphy 4 Gavin Breslin 5 Lawrence Foweather 6 Rebecca M. Dagger 7 Lee E. F. Graves 8 Nicola D. Hopkins 9 Gareth Stratton 0000-0001-5618-0803 10 0035133-10112017151557.pdf boddy2017.pdf 2017-11-10T15:15:57.0200000 Output 556063 application/pdf Accepted Manuscript true 2019-02-18T00:00:00.0000000 false eng
title Individual calibration of accelerometers in children and their health-related implications
spellingShingle Individual calibration of accelerometers in children and their health-related implications
Gareth Stratton
title_short Individual calibration of accelerometers in children and their health-related implications
title_full Individual calibration of accelerometers in children and their health-related implications
title_fullStr Individual calibration of accelerometers in children and their health-related implications
title_full_unstemmed Individual calibration of accelerometers in children and their health-related implications
title_sort Individual calibration of accelerometers in children and their health-related implications
author_id_str_mv 6d62b2ed126961bed81a94a2beba8a01
author_id_fullname_str_mv 6d62b2ed126961bed81a94a2beba8a01_***_Gareth Stratton
author Gareth Stratton
author2 Lynne M. Boddy
Conor Cunningham
Stuart J. Fairclough
Marie H. Murphy
Gavin Breslin
Lawrence Foweather
Rebecca M. Dagger
Lee E. F. Graves
Nicola D. Hopkins
Gareth Stratton
format Journal article
container_title Journal of Sports Sciences
container_start_page 1
publishDate 2017
institution Swansea University
issn 0264-0414
1466-447X
doi_str_mv 10.1080/02640414.2017.1377842
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences
document_store_str 1
active_str 0
description This study compared children’s physical activity (PA) levels, the prevalence of children meeting current guidelines of ≥60 minutes of daily moderate to vigorous PA (MVPA), and PA-health associations using individually calibrated (IC) and empirical accelerometer cutpoints. Data from 75 (n = 32 boys) 10–12 year old children were included in this study. Clustered cardiometabolic (CM) risk, directly measured cardiorespiratory fitness (CRF), anthropometric and 7 day accelerometer data were included within analysis. PA data were classified using Froude anchored IC, Evenson et al. (Evenson, K. R., Catellier, D. J., Gill, K., Ondrak, K. S., & McMurray, R. G. (2008). Calibration of two objective measures of physical activity for children. Journal of Sports Sciences, 26(14), 1557–1565. doi:10.1080/02640410802334196) (Ev) and Mackintosh et al. (Mackintosh, K. A., Fairclough, S. J., Stratton, G., & Ridgers, N. D. (2012). A calibration protocol for population-specific accelerometer cutpoints in children. PLoS One, 7(5), e36919. doi:10.1371/journal.pone.0036919) (Mack) cutpoints. The proportion of the cohort meeting ≥60mins MVPA/day ranged from 37%-56% depending on the cutpoints used. Reported PA differed significantly across the cutpoint sets. IC LPA and MPA were predictors of CRF (LPA: standardised β = 0.32, p = 0.002, MPA: standardised β = 0.27 p = 0.013). IC MPA also predicted BMI Z-score (standardised β = −0.35, p = 0.004). Ev VPA was a predictor of BMI Z-score (standardised β = −0.33, p = 0.012). Cutpoint choice has a substantial impact on reported PA levels though no significant associations with CM risk were observed. Froude IC cutpoints represent a promising approach towards classifying children’s PA data.
published_date 2017-12-31T03:43:37Z
_version_ 1763752036021567488
score 10.997933

Similar Items