Quality control methods in accelerometer data processing: defining minimum wear time.

<h4>Background</h4>When using accelerometers to measure physical activity, researchers need to determine whether subjects have worn their device for a sufficient period to be included in analyses. We propose a minimum wear criterion using population-based accelerometer data, and explore...

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Autores principales:	Carly Rich, Marco Geraci, Lucy Griffiths, Francesco Sera, Carol Dezateux, Mario Cortina-Borja
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0b241c19b0794395ba145905928cfd86
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spelling	oai:doaj.org-article:0b241c19b0794395ba145905928cfd862021-11-18T07:40:19ZQuality control methods in accelerometer data processing: defining minimum wear time.1932-620310.1371/journal.pone.0067206https://doaj.org/article/0b241c19b0794395ba145905928cfd862013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23826236/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>When using accelerometers to measure physical activity, researchers need to determine whether subjects have worn their device for a sufficient period to be included in analyses. We propose a minimum wear criterion using population-based accelerometer data, and explore the influence of gender and the purposeful inclusion of children with weekend data on reliability.<h4>Methods</h4>Accelerometer data obtained during the age seven sweep of the UK Millennium Cohort Study were analysed. Children were asked to wear an ActiGraph GT1M accelerometer for seven days. Reliability coefficients(r) of mean daily counts/minute were calculated using the Spearman-Brown formula based on the intraclass correlation coefficient. An r of 1.0 indicates that all the variation is between- rather than within-children and that measurement is 100% reliable. An r of 0.8 is often regarded as acceptable reliability. Analyses were repeated on data from children who met different minimum daily wear times (one to 10 hours) and wear days (one to seven days). Analyses were conducted for all children, separately for boys and girls, and separately for children with and without weekend data.<h4>Results</h4>At least one hour of wear time data was obtained from 7,704 singletons. Reliability increased as the minimum number of days and the daily wear time increased. A high reliability (r = 0.86) and sample size (n = 6,528) was achieved when children with ≥ two days lasting ≥10 hours/day were included in analyses. Reliability coefficients were similar for both genders. Purposeful sampling of children with weekend data resulted in comparable reliabilities to those calculated independent of weekend wear.<h4>Conclusion</h4>Quality control procedures should be undertaken before analysing accelerometer data in large-scale studies. Using data from children with ≥ two days lasting ≥10 hours/day should provide reliable estimates of physical activity. It's unnecessary to include only children with accelerometer data collected during weekends in analyses.Carly RichMarco GeraciLucy GriffithsFrancesco SeraCarol DezateuxMario Cortina-BorjaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 6, p e67206 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Carly Rich Marco Geraci Lucy Griffiths Francesco Sera Carol Dezateux Mario Cortina-Borja Quality control methods in accelerometer data processing: defining minimum wear time.
description	<h4>Background</h4>When using accelerometers to measure physical activity, researchers need to determine whether subjects have worn their device for a sufficient period to be included in analyses. We propose a minimum wear criterion using population-based accelerometer data, and explore the influence of gender and the purposeful inclusion of children with weekend data on reliability.<h4>Methods</h4>Accelerometer data obtained during the age seven sweep of the UK Millennium Cohort Study were analysed. Children were asked to wear an ActiGraph GT1M accelerometer for seven days. Reliability coefficients(r) of mean daily counts/minute were calculated using the Spearman-Brown formula based on the intraclass correlation coefficient. An r of 1.0 indicates that all the variation is between- rather than within-children and that measurement is 100% reliable. An r of 0.8 is often regarded as acceptable reliability. Analyses were repeated on data from children who met different minimum daily wear times (one to 10 hours) and wear days (one to seven days). Analyses were conducted for all children, separately for boys and girls, and separately for children with and without weekend data.<h4>Results</h4>At least one hour of wear time data was obtained from 7,704 singletons. Reliability increased as the minimum number of days and the daily wear time increased. A high reliability (r = 0.86) and sample size (n = 6,528) was achieved when children with ≥ two days lasting ≥10 hours/day were included in analyses. Reliability coefficients were similar for both genders. Purposeful sampling of children with weekend data resulted in comparable reliabilities to those calculated independent of weekend wear.<h4>Conclusion</h4>Quality control procedures should be undertaken before analysing accelerometer data in large-scale studies. Using data from children with ≥ two days lasting ≥10 hours/day should provide reliable estimates of physical activity. It's unnecessary to include only children with accelerometer data collected during weekends in analyses.
format	article
author	Carly Rich Marco Geraci Lucy Griffiths Francesco Sera Carol Dezateux Mario Cortina-Borja
author_facet	Carly Rich Marco Geraci Lucy Griffiths Francesco Sera Carol Dezateux Mario Cortina-Borja
author_sort	Carly Rich
title	Quality control methods in accelerometer data processing: defining minimum wear time.
title_short	Quality control methods in accelerometer data processing: defining minimum wear time.
title_full	Quality control methods in accelerometer data processing: defining minimum wear time.
title_fullStr	Quality control methods in accelerometer data processing: defining minimum wear time.
title_full_unstemmed	Quality control methods in accelerometer data processing: defining minimum wear time.
title_sort	quality control methods in accelerometer data processing: defining minimum wear time.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/0b241c19b0794395ba145905928cfd86
work_keys_str_mv	AT carlyrich qualitycontrolmethodsinaccelerometerdataprocessingdefiningminimumweartime AT marcogeraci qualitycontrolmethodsinaccelerometerdataprocessingdefiningminimumweartime AT lucygriffiths qualitycontrolmethodsinaccelerometerdataprocessingdefiningminimumweartime AT francescosera qualitycontrolmethodsinaccelerometerdataprocessingdefiningminimumweartime AT caroldezateux qualitycontrolmethodsinaccelerometerdataprocessingdefiningminimumweartime AT mariocortinaborja qualitycontrolmethodsinaccelerometerdataprocessingdefiningminimumweartime
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Quality control methods in accelerometer data processing: defining minimum wear time.

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