Effects of Load Monitoring on Pilates Training

Exercise, Pilates Method

Exercise Movement Techniques, Exercise, Monitoring, Physiologic, Heart Rate, Autonomic Nervous System, Heart rate variability

There has been an increasing awareness about the need to practice some physical activity, including several objectives, mainly as a preventive character. From this perspective, notice the use of the Pilates method as an instrument of therapeutic exercise for the protection and promotion of health. However, despite being popularly performed, there is still no scientific evidence on the standardization of the use of the method and its progression to an adequate prescription of physical training. The objective is monitoring the progression of loads of a 12-week training among the basic, intermediate and advanced levels of the Pilates method through heart rate (HR), subjective exertion perception (PSE) and heart rate variability (HRV). In addition, analyzing the effect of the method on cardiorespiratory and autonomic parameters. 40 healthy men aged 18-36 will receive Pilates training for 12 weeks. After the initial assessment and familiarization with the method, the training period will begin totalizing 36 sessions for three months, where each class lasts approximately 1 hour. During the three months, the participants must pass through the three levels of training: Basic, Intermediate and Advanced. During each session, the investigators will initially collect: psychological questionnaire, visual analogue pain scale (VAS), and cardiorespiratory parameters (systolic and diastolic blood pressure, HR, respiratory rate and partial oxygen saturation). Throughout the session a heart rate meter will be positioned on the chest of the participant to capture HR, which will occur every five minutes together with the PSE illustrated in the model proposed by Borg. At the end of each session, the cardiorespiratory parameters will be collected again. In addition, cardiorespiratory parameters and HRV will be analyzed at baseline and after three months of training. In the case of HRV analysis, linear methods in the time and frequency domain will be verified. For the statistical analysis of the cardiorespiratory and autonomic parameters in the pre and post training moments will be used paired t test for normal data or Wilcoxon test for non normal data. For the analysis of the training load will be used the correlation of Pearson or Sperman according to normality. The definition of cutoff points for the HRV and PSE indices will be obtained by the ROC curve.

Brazil