Comparison of two methods to assess PAEE during six activities in children.
Med Sci Sports Exerc
; 39(12): 2180-8, 2007 Dec.
Article
em En
| MEDLINE
| ID: mdl-18046189
ABSTRACT
PURPOSE:
The purpose of this study was to compare the accuracy of physical activity energy expenditure (PAEE)-prediction models using accelerometry alone (ACC) and accelerometry combined with heart rate monitoring (HR+ACC) to estimate PAEE during six common activities in children (lying, sitting, slow and brisk walking, hop-scotch, running). Three PAEE-prediction models derived using the current data, and five previously published prediction models were cross-validated to estimate PAEE in this sample.METHODS:
PAEE was assessed using ACC, HR+ACC, and indirect calorimetry during six activities in 145 children (12.4 +/- 0.2 yr). One ACC and two HR+ACC PAEE-prediction models were derived using linear regression on data from the current study. These three new models were cross-validated using a jackknife approach, and a modified Bland-Altman method was used to assess the validity of all eight models.RESULTS:
PAEE predictions using the one ACC and two HR+ACC models derived in the current study correlated strongly with measured values (RMSE = 97.3-118.0 J.min.kg). All five previously published models agreed well overall (RMSE = 115.6-245.3 J.min.kg), but systematic error was present for most of these, to a greater extent for ACC.CONCLUSIONS:
ACC and HR+ACC can both be used to predict overall PAEE during these six activities in children; however, systematic error was present in all predictions. Although both ACC and HR+ACC provide accurate predictions of overall PAEE, according to the activities in this study, PAEE-prediction models using HR+ACC may be more accurate and widely applicable than those based on accelerometry alone.
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Base de dados:
MEDLINE
Assunto principal:
Monitorização Ambulatorial
/
Metabolismo Energético
/
Atividade Motora
Tipo de estudo:
Prognostic_studies
Limite:
Child
/
Female
/
Humans
/
Male
Idioma:
En
Ano de publicação:
2007
Tipo de documento:
Article