%0 Journal Article
%T Review of Prediction Models to Estimate Activity-Related Energy Expenditure in Children and Adolescents
%A Suzanne M. de Graauw
%A Janke F. de Groot
%A Marco van Brussel
%A Marjolein F. Streur
%A Tim Takken
%J International Journal of Pediatrics
%D 2010
%I Hindawi Publishing Corporation
%R 10.1155/2010/489304
%X 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¡À2.0 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.
%U http://www.hindawi.com/journals/ijped/2010/489304/