Literature DB >> 12165693

Energy expenditure assessed by heart rate and doubly labeled water in young athletes.

Ulf Ekelund1, Agneta Yngve, Klaas Westerterp, Michael Sjöström.   

Abstract

PURPOSE: To compare total energy expenditure (TEE) estimated by the FLEX heart rate (HR) method with that measured by the doubly labeled water (DLW) technique in young speed skaters. We hypothesized that the accuracy of FLEX HR-estimated TEE would be affected by a) the definition of the FLEX HR and b) the type of training regimen.
METHODS: Eight young athletes (mean age 18.2 +/- 1.3 yr) underwent measurements during two 10-d training periods: an off-season period with voluntary training (predominantly running) and a preseason period mainly focused on skating technique training. TEE was measured simultaneously by the DLW and FLEX HR methods. FLEX HR1 was defined as the mean of the HRs during all resting calibration activities and the lowest HR during exercising calibration activities. FLEX HR2 was defined as the mean of the highest HR during resting activities and the lowest HR during exercising.
RESULTS: ANOVA showed that FLEX HR1 was significantly lower than FLEX HR2 (mean of both periods; 77 +/- 5 vs 84 +/- 6 beats.min(-1); P = 0.004). TEE values obtained by DLW were 16.8 +/- 3.8 and 16.9 +/- 2.9 MJ.d(-1) in the two periods, respectively. TEE values calculated from FLEX HR1 were 17.8 +/- 3.6 and 17.4 +/- 2.6 MJ.d(-1), and those from FLEX HR2 17.1 +/- 3.1 and 17.0 +/- 2.7 MJ.d-1, respectively. No significant period (P = 0.83) or method (P = 0.44) effect on TEE was observed.
CONCLUSION: FLEX HR-estimated TEE was not affected by the definition of the FLEX HR or by the type of training regimen as compared with TEE measured by the DLW method in young athletes.

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Year:  2002        PMID: 12165693     DOI: 10.1097/00005768-200208000-00019

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


  7 in total

1.  Validation of cross-sectional time series and multivariate adaptive regression splines models for the prediction of energy expenditure in children and adolescents using doubly labeled water.

Authors:  Nancy F Butte; William W Wong; Anne L Adolph; Maurice R Puyau; Firoz A Vohra; Issa F Zakeri
Journal:  J Nutr       Date:  2010-06-23       Impact factor: 4.798

2.  Who will increase their physical activity? Predictors of change in objectively measured physical activity over 12 months in the ProActive cohort.

Authors:  Rebecca K Simmons; Esther Mf van Sluijs; Wendy Hardeman; Stephen Sutton; Simon J Griffin
Journal:  BMC Public Health       Date:  2010-04-30       Impact factor: 3.295

3.  Energy expenditure and habitual physical activities in adolescent sprint athletes.

Authors:  Dirk Aerenhouts; Evert Zinzen; Peter Clarys
Journal:  J Sports Sci Med       Date:  2011-06-01       Impact factor: 2.988

4.  Increasing overall physical activity and aerobic fitness is associated with improvements in metabolic risk: cohort analysis of the ProActive trial.

Authors:  R K Simmons; S J Griffin; R Steele; N J Wareham; U Ekelund
Journal:  Diabetologia       Date:  2008-03-04       Impact factor: 10.122

5.  An investigation of patterns of children's sedentary and vigorous physical activity throughout the week.

Authors:  Rebekah M Steele; Esther Mf van Sluijs; Stephen J Sharp; Jill R Landsbaugh; Ulf Ekelund; Simon J Griffin
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Journal:  Front Sports Act Living       Date:  2021-01-27

Review 7.  Monitoring Energy Expenditure Using a Multi-Sensor Device-Applications and Limitations of the SenseWear Armband in Athletic Populations.

Authors:  Karsten Koehler; Clemens Drenowatz
Journal:  Front Physiol       Date:  2017-11-30       Impact factor: 4.566

  7 in total

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