Accelerometer Data Reduction in Adolescents: Effects on Sample Retention and Bias

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aut.relation.articlenumber140en_NZ
aut.relation.journalInternational Journal of Behavioral Nutrition and Physical Activityen_NZ
aut.relation.volume10en_NZ
aut.researcherDuncan, Scott
dc.contributor.authorToftager, Men_NZ
dc.contributor.authorKristensen, PLen_NZ
dc.contributor.authorOliver, Men_NZ
dc.contributor.authorDuncan, Sen_NZ
dc.contributor.authorChristiansen, LBen_NZ
dc.contributor.authorBoyle, Een_NZ
dc.contributor.authorBrønd, JCen_NZ
dc.contributor.authorTroelsen, Jen_NZ
dc.date.accessioned2021-04-08T21:36:36Z
dc.date.available2021-04-08T21:36:36Z
dc.date.copyright2013en_NZ
dc.date.issued2013en_NZ
dc.description.abstractBackground Accelerometry is increasingly being recognized as an accurate and reliable method to assess free-living physical activity (PA) in children and adolescents. However, accelerometer data reduction criteria remain inconsistent, and the consequences of excluding participants in for example intervention studies are not well described. In this study, we investigated how different data reduction criteria changed the composition of the adolescent population retained in accelerometer data analysis. Methods Accelerometer data (Actigraph GT3X), anthropometric measures and survey data were obtained from 1348 adolescents aged 11–14 years enrolled in the Danish SPACE for physical activity study. Accelerometer data were analysed using different settings for each of the three key data reduction criteria: (1) number of valid days; (2) daily wear time; and (3) non-wear time. The effects of the selected setting on sample retention and PA counts were investigated and compared. Ordinal logistic regression and multilevel mixed-effect linear regression models were used to analyse the impact of differing non-wear time definitions in different subgroups defined by body mass index, age, sex, and self-reported PA and sedentary levels. Results Increasing the minimum requirements for daily wear time and the number of valid days and applying shorter non-wear definitions, resulted in fewer adolescents retained in the dataset. Moreover, the different settings for non-wear time significantly influenced which participants would be retained in the accelerometer data analyses. Adolescents with a higher BMI (OR:0.93, CI:0.87-0.98, p=0.015) and older adolescents (OR:0.68, CI:0.49-0.95, p=0.025) were more likely to be excluded from analysis using 10 minutes of non-wear compared to longer non-wear time periods. Overweight and older adolescents accumulated more daily non-wear time if the non-wear time setting was short, and the relative difference between groups changed depending on the non-wear setting. Overweight and older adolescents did also accumulate more sedentary time, but this was not significant correlated to the non-wear setting used. Conclusions Even small differences in accelerometer data reduction criteria can have substantial impact on sample size and PA and sedentary outcomes. This study highlighted the risk of introducing bias with more overweight and older adolescents excluded from the analysis when using short non-wear time definitions.
dc.identifier.citationInternational Journal of Behavioral Nutrition and Physical Activity, 10(1), 1-12.
dc.identifier.doi10.1186/1479-5868-10-140en_NZ
dc.identifier.issn1479-5868en_NZ
dc.identifier.issn1479-5868en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/14104
dc.publisherBioMed Central
dc.relation.urihttps://ijbnpa.biomedcentral.com/articles/10.1186/1479-5868-10-140
dc.rights© 2013 Toftager et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectPhysical activity; Measurements; Adolescents; Overweight; Accelerometer; Bias
dc.titleAccelerometer Data Reduction in Adolescents: Effects on Sample Retention and Biasen_NZ
dc.typeJournal Article
pubs.elements-id160372
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Faculty of Health & Environmental Science
pubs.organisational-data/AUT/Faculty of Health & Environmental Science/School of Sport & Recreation
pubs.organisational-data/AUT/Faculty of Health & Environmental Science/School of Sport & Recreation/Physical Activity, Nutrition & the Outdoors Department
pubs.organisational-data/AUT/Faculty of Health & Environmental Science/School of Sport & Recreation/Sports Performance Research Institute New Zealand
pubs.organisational-data/AUT/Faculty of Health & Environmental Science/School of Sport & Recreation/Sports Performance Research Institute New Zealand/Human Potential Research Group
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences/HS Sports & Recreation 2018 PBRF
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