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Comparisons of prediction equations for estimating energy expenditure in youth.

ABSTRACT: The purpose of this study was to compare the validity of Actigraph 2-regression models (2RM) and 1-regression models (1RM) for estimation of EE in children.The study used a cross-sectional design with criterion estimates from a metabolic cart.A total of 59 children (7-13yrs) performed 12 activities (randomly selected from a set of 24 activities) for 5min each, while being concurrently measured with an Actigraph GT3X and indirect calorimetry. METRMR (MET considering one's resting metabolic rate) for the GT3X was estimated applying 2RM with vector magnitude (VM2RM) and vertical axis (VA2RM), and four standard 1RMs. The validity of the 2RMs and 1RMs was evaluated using 95% equivalence testing and mean absolute percent error (MAPE).For the group-level comparison, equivalence testing revealed that the 90% confidence intervals for all 2RMs and 1RMs were outside of the equivalence zone (range: 3.63, 4.43) for indirect calorimetry. When comparing the individual activities, VM2RM produced smaller MAPEs (range: 14.5-45.3%) than VA2RM (range, 15.5-58.1%) and 1RMs (range, 14.5-75.1%) for most of the light and moderate activities.None of the 2RMs and 1RMs were equivalent to indirect calorimetry. The 2RMs showed smaller individual-level errors than the 1RMs.

SUBMITTER: Kim Y

PROVIDER: S-EPMC4402097 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

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Comparisons of prediction equations for estimating energy expenditure in youth.

Kim Youngwon Y Crouter Scott E SE Lee Jung-Min JM Dixon Phillip M PM Gaesser Glenn A GA Welk Gregory J GJ

Journal of science and medicine in sport 20141018 1

<h4>Objectives</h4>The purpose of this study was to compare the validity of Actigraph 2-regression models (2RM) and 1-regression models (1RM) for estimation of EE in children.<h4>Design</h4>The study used a cross-sectional design with criterion estimates from a metabolic cart.<h4>Methods</h4>A total of 59 children (7-13yrs) performed 12 activities (randomly selected from a set of 24 activities) for 5min each, while being concurrently measured with an Actigraph GT3X and indirect calorimetry. METR ...[more]

PMID: 25459235

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Project description:Background and Aims:The unique demographic and dietary characteristics of modern Arabic population require development of a new predictive equation for the estimation of resting energy expenditure (REE). This study presented new equations characteristic to Saudi population. Methods:A set of predictive equations for REE was derived for 427 healthy male and female subjects (aged 18-57?±?14 years). REE was measured (REEm) by indirect calorimetry (IC) and predicted (REEp) using nine equations. REEp was compared with REEm to determine the predictive accuracy of these equations. Using IC and anthropometrics for stepwise linear regression analysis, a new set of equations to predict REE of men and women was developed. Accuracy of the new main equations was further tested in an external sample of 48 subjects (men?=?50%). Results:Using a number of parameters (bias, underprediction, overprediction, and % accurate prediction), our results suggested that almost all (9/9 in men and 7/9 in women) equations either underpredicted or overpredicted (2/9) REE. None of the already existing equations showed an acceptable REEp/REEm difference as low as 5% and an accurate prediction (?55%) at the individual level. Based on these findings, a new prediction equation (hereafter referred to as the Almajwal-Abulmeaty (AA) equation) was developed using this study's data, after a rigorous stepwise regression analysis using the following formula: REE?=?3832.955?+?AdjWt (kg)?×?48.037?-?Ht (cm)?×?30.642?+?gender?×?141.268?-?age (years)?×?4.525 [AdjWt is Adjusted body weight?=?(Wt?-?IBW)/4?+?IBW. IBW is Ideal body weight; for men IBW?=?(Ht(cm)?-?152.4)?×?1.0714)?+?45.36 and for women IBW?=?(Ht(cm)-152.4)?×?0.8928)?+?45.36]. The regression model accounted for approximately 70% of the variance in REEm (R 2?=?0.702). Conclusion:Previous equations likely over- or underpredicted REE. Therefore, the new predictive AA equations developed in this study are recommended for the estimation of REE in young to middle-aged Saudi men and women with different body mass indexes. Future research is also required for further clinical and cross-validation of these new equations.

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Comparisons of prediction equations for estimating energy expenditure in youth.

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Comparisons of prediction equations for estimating energy expenditure in youth.

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