Review of Prediction Models to Estimate Activity-Related Energy Expenditure in Children and Adolescents
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 ac...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2010-01-01
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| Series: | International Journal of Pediatrics |
| Online Access: | http://dx.doi.org/10.1155/2010/489304 |
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| _version_ | 1832554172892839936 |
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| author | Suzanne M. de Graauw Janke F. de Groot Marco van Brussel Marjolein F. Streur Tim Takken |
| author_facet | Suzanne M. de Graauw Janke F. de Groot Marco van Brussel Marjolein F. Streur Tim Takken |
| author_sort | Suzanne M. de Graauw |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-bd9c39f898204131b338d057e640fe1a |
| institution | Kabale University |
| issn | 1687-9740 1687-9759 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Pediatrics |
| spelling | doaj-art-bd9c39f898204131b338d057e640fe1a2025-02-03T05:52:18ZengWileyInternational Journal of Pediatrics1687-97401687-97592010-01-01201010.1155/2010/489304489304Review of Prediction Models to Estimate Activity-Related Energy Expenditure in Children and AdolescentsSuzanne M. de Graauw0Janke F. de Groot1Marco van Brussel2Marjolein F. Streur3Tim Takken4Department of Physiotherapy Sciences, School of Clinical Health Sciences, Utrecht University, NL-3584CX Utrecht, The NetherlandsChild Development & Exercise Centre, Wilhelmina Children's Hospital, University Medical Centre, NL-3508AB Utrecht, The NetherlandsDepartment of Physiotherapy Sciences, School of Clinical Health Sciences, Utrecht University, NL-3584CX Utrecht, The NetherlandsDepartment of Physiotherapy Sciences, School of Clinical Health Sciences, Utrecht University, NL-3584CX Utrecht, The NetherlandsDepartment of Physiotherapy Sciences, School of Clinical Health Sciences, Utrecht University, NL-3584CX Utrecht, The NetherlandsPurpose. 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.http://dx.doi.org/10.1155/2010/489304 |
| spellingShingle | Suzanne M. de Graauw Janke F. de Groot Marco van Brussel Marjolein F. Streur Tim Takken Review of Prediction Models to Estimate Activity-Related Energy Expenditure in Children and Adolescents International Journal of Pediatrics |
| title | Review of Prediction Models to Estimate Activity-Related Energy Expenditure in Children and Adolescents |
| title_full | Review of Prediction Models to Estimate Activity-Related Energy Expenditure in Children and Adolescents |
| title_fullStr | Review of Prediction Models to Estimate Activity-Related Energy Expenditure in Children and Adolescents |
| title_full_unstemmed | Review of Prediction Models to Estimate Activity-Related Energy Expenditure in Children and Adolescents |
| title_short | Review of Prediction Models to Estimate Activity-Related Energy Expenditure in Children and Adolescents |
| title_sort | review of prediction models to estimate activity related energy expenditure in children and adolescents |
| url | http://dx.doi.org/10.1155/2010/489304 |
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