Literature DB >> 17146325

Energy expenditure estimated by accelerometry and doubly labeled water: do they agree?

Nicole Y Leenders1, William Michael Sherman, Haikady N Nagaraja.   

Abstract

PURPOSE: The purpose of this study was to compare energy expenditure derived from regression equations determined from accelerometry with energy expenditure obtained from the doubly labeled water method (DLW).
METHODS: Thirteen subjects participated in a 7-d protocol during which total daily energy expenditure (TDEE) was measured with DLW. Simultaneously, during the 7 d, subjects wore a Tritrac-R3D and an Actigraph (ACT). Pearson and concordance correlations and one-sample t-tests were used to determine the agreement of six Tritrac and eight ACT regression equations that convert body acceleration to energy expenditure with the DLW measurements.
RESULTS: Tritrac TDEE determined from the different Tritrac regression equations under- and overestimated TDEE determined with DLW that ranged from -10 to +101%. For ACT, the percent difference between DLW and ACT-TDEE determined with the regression equation developed by Hendelman and Swartz were not statistically significantly different from zero. The mean of the difference was -2 and -4%, but the range of the difference was large for both equations, -29 to +24%. TDEE determined with the six other ACT equations were significantly different compared with DLW.
CONCLUSION: Of the 14 different regression equations from the literature, only two developed for ACT compared favorably with DLW; however, the difference in TDEE between these two methods was variable and rather large. These results reemphasize the difficulty in converting body movement into energy expenditure on an individual basis from accelerometry. These results imply that researchers may want to avoid using accelerometers to predict energy expenditure in free-living conditions, instead using these instruments only to measure patterns of physical activity.

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Year:  2006        PMID: 17146325     DOI: 10.1249/01.mss.0000235883.94357.95

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  24 in total

1.  Accelerometer use in a physical activity intervention trial.

Authors:  Melissa A Napolitano; Kelley E Borradaile; Beth A Lewis; Jessica A Whiteley; Jaime L Longval; Alfred F Parisi; Anna E Albrecht; Christopher N Sciamanna; John M Jakicic; George D Papandonatos; Bess H Marcus
Journal:  Contemp Clin Trials       Date:  2010-08-17       Impact factor: 2.226

2.  Energy expenditure in obstructive sleep apnea: validation of a multiple physiological sensor for determination of sleep and wake.

Authors:  Denise M O'Driscoll; Anthony R Turton; Janet M Copland; Boyd J Strauss; Garun S Hamilton
Journal:  Sleep Breath       Date:  2012-02-10       Impact factor: 2.816

3.  Empirical evaluation of physical activity recommendations for weight control in women.

Authors:  Suzanne Phelan; Marta Roberts; Wei Lang; Rena R Wing
Journal:  Med Sci Sports Exerc       Date:  2007-10       Impact factor: 5.411

4.  Higher Precision of Heart Rate Compared with VO2 to Predict Exercise Intensity in Endurance-Trained Runners.

Authors:  Victor M Reis; Roland Van den Tillaar; Mario C Marques
Journal:  J Sports Sci Med       Date:  2011-03-01       Impact factor: 2.988

5.  Accelerometry predicts daily energy expenditure in a bird with high activity levels.

Authors:  Kyle H Elliott; Maryline Le Vaillant; Akiko Kato; John R Speakman; Yan Ropert-Coudert
Journal:  Biol Lett       Date:  2012-12-19       Impact factor: 3.703

6.  A measurement error model for physical activity level as measured by a questionnaire with application to the 1999-2006 NHANES questionnaire.

Authors:  Janet A Tooze; Richard P Troiano; Raymond J Carroll; Alanna J Moshfegh; Laurence S Freedman
Journal:  Am J Epidemiol       Date:  2013-04-17       Impact factor: 4.897

7.  Validation of the ActiGraph two-regression model for predicting energy expenditure.

Authors:  Megan P Rothney; Robert J Brychta; Natalie N Meade; Kong Y Chen; Maciej S Buchowski
Journal:  Med Sci Sports Exerc       Date:  2010-09       Impact factor: 5.411

8.  Effect of calorie restriction on the free-living physical activity levels of nonobese humans: results of three randomized trials.

Authors:  Corby K Martin; Sai Krupa Das; Lauren Lindblad; Susan B Racette; Megan A McCrory; Edward P Weiss; James P Delany; William E Kraus
Journal:  J Appl Physiol (1985)       Date:  2011-02-03

9.  Energy expenditure in adults living in developing compared with industrialized countries: a meta-analysis of doubly labeled water studies.

Authors:  Lara R Dugas; Regina Harders; Sarah Merrill; Kara Ebersole; David A Shoham; Elaine C Rush; Felix K Assah; Terrence Forrester; Ramon A Durazo-Arvizu; Amy Luke
Journal:  Am J Clin Nutr       Date:  2010-12-15       Impact factor: 7.045

10.  Validity of physical activity intensity predictions by ActiGraph, Actical, and RT3 accelerometers.

Authors:  Megan P Rothney; Emily V Schaefer; Megan M Neumann; Leena Choi; Kong Y Chen
Journal:  Obesity (Silver Spring)       Date:  2008-05-29       Impact factor: 5.002

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