title: Review of prediction models to estimate activity-related energy expenditure in children and adolescents.
abstract: Purpose. To critically review the validity of accelerometry-based prediction models to estimate activity energy expenditure (AEE) in children and adolescents. Methods. The CINAHL, EMBASE, PsycINFO, and PubMed/MEDLINE databases were searched. Inclusion criteria were development or validation of an accelerometer-based prediction model for the estimation of AEE in healthy children or adolescents (6-18 years), criterion measure: indirect calorimetry, or doubly labelled water, and language: Dutch, English or German. Results. Nine studies were included. Median methodological quality was 5.5 +/- 2.0 IR (out of a maximum 10 points). Prediction models combining heart rate and counts explained 86-91% of the variance in measured AEE. A prediction model based on a triaxial accelerometer explained 90%. Models derived during free-living explained up to 45%. Conclusions. Accelerometry-based prediction models may provide an accurate estimate of AEE in children on a group level. Best results are retrieved when the model combines accelerometer counts with heart rate or when a triaxial accelerometer is used. Future development of AEE prediction models applicable to free-living scenarios is needed.
authors.affiliation: Department of Physiotherapy Sciences, School of Clinical Health Sciences, Utrecht University, NL-3584CX Utrecht, The Netherlands.
authors.forename: Suzanne M
authors.initials: SM
authors.lastname: de Graauw
authors.forename: Janke F
authors.initials: JF
authors.lastname: de Groot
authors.forename: Marco
authors.initials: M
authors.lastname: van Brussel
authors.forename: Marjolein F
authors.initials: MF
authors.lastname: Streur
authors.forename: Tim
authors.initials: T
authors.lastname: Takken