Equating accelerometer estimates among youth: The Rosetta Stone 2.

Détails

ID Serval
serval:BIB_CC4539CF282B
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Equating accelerometer estimates among youth: The Rosetta Stone 2.
Périodique
Journal of science and medicine in sport
Auteur(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.
Collaborateur(s)
International Children's Accelerometry Database (ICAD) Collaborators
Contributeur(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
Statut éditorial
Publié
Date de publication
03/2016
Peer-reviewed
Oui
Volume
19
Numéro
3
Pages
242-249
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
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.

Mots-clé
Accelerometry/standards, Adolescent, Child, Child, Preschool, Exercise, Female, Humans, Male, Reference Values
Pubmed
Création de la notice
29/03/2016 17:55
Dernière modification de la notice
03/03/2018 21:28
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