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Validation of the SenseWear armband in circuit resistance training with different loads

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Abstract

The use of the SenseWear™ armband (SWA), an objective monitor of physical activity, is a relatively new device used by researchers to measure energy expenditure. These monitors are practical, relatively inexpensive and easy-to-use. The aim of the present study was to assess the validity of SWAs for the measurement of energy expenditure (EE) in circuit resistance training (CRT) at three different intensities in moderately active, healthy subjects. The study subjects (17 females, 12 males) undertook CRT at 30, 50 and 70% of the 15 repetition maximum for each exercise component wearing an SWA as well as an Oxycon Mobile (OM) portable metabolic system (a gold standard method for measuring EE). The EE rose as exercise intensity increased, but was underestimated by the SWAs. For women, Bland–Altman plots showed a bias of 1.13 ± 1.48 METs and 32.1 ± 34.0 kcal in favour of the OM system, while for men values of 2.33 ± 1.82 METs and 75.8 ± 50.8 kcal were recorded.

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References

  • Benton MJ, Swan PD (2009) Influence of resistance exercise volume on recovery energy expenditure in women. Eur J Sport Sci 4(9):213–218

    Article  Google Scholar 

  • Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1(8476):307–310

    Article  PubMed  CAS  Google Scholar 

  • Díaz V, Benito PJ, Peinado AB, Álvarez M, Martín C, di Salvo V, Pigozzi F, Maffulli N, Calderón FJ (2008) Validation of a new portable metabolic system during an incremental running test. J Sport Sci Med 7(4):532–536

    Google Scholar 

  • Drenowatz C, Eisenmann JC (2011) Validation of the SenseWear Armband at high intensity exercise. Eur J Appl Physiol 111(5):883–887

    Article  PubMed  Google Scholar 

  • Hunter GR, Byrne NM, Sirikul B, Fernandez JR, Zuckerman PA, Darnell BE, Gower BA (2008) Resistance training conserves fat-free mass and resting energy expenditure following weight loss. Obesity (Silver Spring, MD) 16(5):1045–1051

    Article  Google Scholar 

  • Hurley BF, Hagberg JM, Goldberg AP, Seals DR, Ehsani AA, Brennan RE, Holloszy JO (1988) Resistive training can reduce coronary risk factors without altering VO2max or percent body fat. Med Sci Sports Exerc 20(2):150–154

    Google Scholar 

  • Johannsen DL, Welk GJ, Sharp RL, Flakoll PJ (2008) Differences in daily energy expenditure in lean and obese women: the role of posture allocation. Obesity (Silver Spring) 16(1):34–39

    Article  Google Scholar 

  • Kelley GA, Kelley KS (2000) Progressive resistance exercise and resting blood pressure: a meta-analysis of randomized controlled trials. Hypertension 35(3):838–843

    Article  PubMed  CAS  Google Scholar 

  • Koehler K, de Marees M, Braun H, Schaenzer W (2010) Comparison of two portable devices for assessing energy expenditure during high-intensity running. Med Sci Sports Exerc 42(5):433

    Google Scholar 

  • Kraemer WJ, Volek JS, Clark KL, Gordon SE, Puhl SM, Koziris LP, McBride JM, Triplett-McBride NT, Putukian M, Newton RU, Hakkinen K, Bush JA, Sebastianelli WJ (1999) Influence of exercise training on physiological and performance changes with weight loss in men. Med Sci Sports Exerc 31(9):1320–1329

    Article  PubMed  CAS  Google Scholar 

  • Melanson EL, Sharp TA, Seagle HM, Donahoo WT, Grunwald GK, Peters JC, Hamilton JT, Hill JO (2002) Resistance and aerobic exercise have similar effects on 24-h nutrient oxidation. Med Sci Sports Exerc 34(11):1793–1800

    Article  PubMed  Google Scholar 

  • Plasqui G, Westerterp KR (2005) Accelerometry and heart rate as a measure of physical fitness: proof of concept. Med Sci Sports Exerc 37(5):872–876

    Article  PubMed  Google Scholar 

  • Rawson ES, Walsh TM (2010) Estimation of resistance exercise energy expenditure using accelerometry. Med Sci Sports Exerc 42(3):622–628

    Article  PubMed  Google Scholar 

  • Schoeller DA (1988) Measurement of energy expenditure in free-living humans by using doubly labeled water. J Nutr 118(11):1278–1289

    PubMed  CAS  Google Scholar 

  • Scott CB, Kemp RB (2005) Direct and indirect calorimetry of lactate oxidation: implications for whole-body energy expenditure. J Sports Sci 23(1):15–19

    Article  PubMed  Google Scholar 

  • St-Onge M, Mignault D, Allison DB, Rabasa-Lhoret R (2007) Evaluation of a portable device to measure daily energy expenditure in free-living adults. Am J Clin Nutr 85(3):742–749

    PubMed  CAS  Google Scholar 

  • Trost SG (2001) Objective measurement of physical activity in youth: current issues, future directions. Exerc Sport Sci Rev 29(1):32–36

    Article  PubMed  CAS  Google Scholar 

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Correspondence to P. J. Benito.

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Communicated by Klaas R Westerterp.

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Benito, P.J., Neiva, C., González-Quijano, P.S. et al. Validation of the SenseWear armband in circuit resistance training with different loads. Eur J Appl Physiol 112, 3155–3159 (2012). https://doi.org/10.1007/s00421-011-2269-5

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  • DOI: https://doi.org/10.1007/s00421-011-2269-5

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