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Estimation of load intensity with heart rate variables in a specific circuit weight training
Research Areas
  • Physiology,
  • Physical education and sport
INTRODUCTION The estimation of exercise intensity trough heart rate (HR) has been estudied several times (1, 2). However, the way to control the intensity in strenght training has been traditionally the weight lifted, instead of using physiological variables. The aim of this study was to develop an equation to predict training intensity based on easily measurable physiological variables as HR, body weight or work load. MATERIAL AND METHODS Twelve subjects participated in this study, six men (23.7±1.6 years; 71.5±1.8 Kg.; 174.6±10.5 cm.) and six women (23.3±1.0 years; 56.4±2.8 Kg; 160.9±4.2 cm.) with the following characteristics: healthy students of Physical Education and physically active. The protocol consisted of evaluate a circuit training with seven exercise at six different intensities (40% to 85% of 15 repetition maximum (15RM)) with rythim fixed at 1:2 (concentric-excencentric). The 15RM were calculated individually for each exercise. All cardiorespiratory variables were measured with a portable metabolic system (Jaeger Oxycom Mobile®). A step by step regression analysis was used to predict load intensity in the test. Significant level was set at p<0.05. RESULTS The following variables were used to predict the intensity: HR relative to maximal HR (HR%), mean HR measured during the circuit (HR), maximal HR measured during the circuit (HRmax), HR after two minutes of recovery, mean load moved during the circuit (Loadavg), intensity relative to the HR reserve and body weight. There were obtained three models, but these were the chosen equations that they predicted better. For men: I (%) = 57.265 + 0.512 HR - 0.696 HRmax + 1.035 Loadavg + 0.188 Body Weight (R2=0.92; SEE=4.9%); For women: I (%) = 4.036 + 0.412 HR% + 1.667 Loadavg (R2=0.79; SEE=7.7%). DISCUSSION It is obvious that estimating the proportion of work load during circuit training is sometimes difficult. The relationship between HR and VO2 is different depending on the activity (3) and the implied body limbs (2). Using HR in EE estimation is not new in exercise (3, 4), although few studies have applied these techniques in circuit training (3). Rotstein et al. indicate a better prediction of intensity for running than for arm exercises. However, as Collins et al. pointed out, the relation HR/VO2 is linear for intensities between 40 and 70% of 1RM. But it is possible to emphasize that until the moment none have proposed estimation equations based on gender differences. References. 1. Lounana, J, et al. Med Sci Sports Exerc (2007); 39: 350-7. 2. Rotstein, A and Meckel, Y. Eur J Appl Physiol (2000); 83: 545-50. 3. Collins, MA, et al. Med Sci Sports Exerc (1991); 23: 636-40. 4. Hiilloskorpi, HK, et al. Int J Sports Med (2003); 24: 332-6.
13th Annual Congress of the European College of Sport Science
Estoril (Portugal)
Start Date
End Date
From page
To page
13th Annual Congress of the European College of Sport Science. Book of Abstracts. Digital version
  • Autor: Pedro Jose Benito Peinado (UPM)
  • Autor: Fco. Javier Calderon Montero (UPM)
  • Autor: Victor Diaz Molina (UPM)
  • Autor: Ana Belen Peinado Lozano (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Inv. del Laboratorio de Fisiología del Esfuerzo
  • Departamento: Salud y Rendimiento Humano
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)