Equating accelerometer estimates among youth: The Rosetta Stone 2.

Details

Serval ID
serval:BIB_CC4539CF282B
Type
Article: article from journal or magazin.
Collection
Publications
Title
Equating accelerometer estimates among youth: The Rosetta Stone 2.
Journal
Journal of science and medicine in sport
Author(s)
Brazendale K., Beets M.W., Bornstein D.B., Moore J.B., Pate R.R., Weaver R.G., Falck R.S., Chandler J.L., Andersen L.B., Anderssen S.A., Cardon G., Cooper A., Davey R., Froberg K., Hallal P.C., Janz K.F., Kordas K., Kriemler S., Puder J.J., Reilly J.J., Salmon J., Sardinha L.B., Timperio A., van Sluijs E.M.
Working group(s)
International Children's Accelerometry Database (ICAD) Collaborators
Contributor(s)
Andersen L.B., Anderssen S., Cardon G., Cooper A., Davey R., Ekelund U., Esliger D.W., Froberg K., Hallal P., Janz K.F., Kordas K., Kriemler S., Page A., Pate R., Puder J.J., Reilly J., Salmon J., Sardinha L.B., Sherar L.B., Timperio A., van Sluijs E.M.
ISSN
1878-1861 (Electronic)
ISSN-L
1878-1861
Publication state
Published
Issued date
03/2016
Peer-reviewed
Oui
Volume
19
Number
3
Pages
242-249
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Different accelerometer cutpoints used by different researchers often yields vastly different estimates of moderate-to-vigorous intensity physical activity (MVPA). This is recognized as cutpoint non-equivalence (CNE), which reduces the ability to accurately compare youth MVPA across studies. The objective of this research is to develop a cutpoint conversion system that standardizes minutes of MVPA for six different sets of published cutpoints.
Secondary data analysis.
Data from the International Children's Accelerometer Database (ICAD; Spring 2014) consisting of 43,112 Actigraph accelerometer data files from 21 worldwide studies (children 3-18 years, 61.5% female) were used to develop prediction equations for six sets of published cutpoints. Linear and non-linear modeling, using a leave one out cross-validation technique, was employed to develop equations to convert MVPA from one set of cutpoints into another. Bland Altman plots illustrate the agreement between actual MVPA and predicted MVPA values.
Across the total sample, mean MVPA ranged from 29.7MVPAmind(-1) (Puyau) to 126.1MVPAmind(-1) (Freedson 3 METs). Across conversion equations, median absolute percent error was 12.6% (range: 1.3 to 30.1) and the proportion of variance explained ranged from 66.7% to 99.8%. Mean difference for the best performing prediction equation (VC from EV) was -0.110mind(-1) (limits of agreement (LOA), -2.623 to 2.402). The mean difference for the worst performing prediction equation (FR3 from PY) was 34.76mind(-1) (LOA, -60.392 to 129.910).
For six different sets of published cutpoints, the use of this equating system can assist individuals attempting to synthesize the growing body of literature on Actigraph, accelerometry-derived MVPA.

Keywords
Accelerometry/standards, Adolescent, Child, Child, Preschool, Exercise, Female, Humans, Male, Reference Values
Pubmed
Create date
29/03/2016 17:55
Last modification date
03/03/2018 21:28
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