AUTHOR=Campos Fernando de Souza , Borszcz Fernando Klitzke , Flores Lucinar Jupir Forner , Barazetti Lilian Keila , Teixeira Anderson Santiago , Hartmann Nunes Renan Felipe , Guglielmo Luiz Guilherme Antonacci 

TITLE=HIIT Models in Addition to Training Load and Heart Rate Variability Are Related With Physiological and Performance Adaptations After 10-Weeks of Training in Young Futsal Players

JOURNAL=Frontiers in Psychology

VOLUME=12

YEAR=2021

URL=https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2021.636153

DOI=10.3389/fpsyg.2021.636153

ISSN=1664-1078

ABSTRACT=<sec><title>Introduction</title><p>The present study aimed to investigate the effects of two high-intensity interval training (HIIT) shuttle-run-based models, over 10 weeks on aerobic, anaerobic, and neuromuscular parameters, and the association of the training load and heart rate variability (HRV) with the change in the measures in young futsal players.</p></sec><sec><title>Methods</title><p>Eleven young male futsal players (age: 18.5 ± 1.1 years; body mass: 70.5 ± 5.7 kg) participated in this study. This pre-post study design was performed during a typical 10 weeks training period. HIIT sessions were conducted at 86% (HIIT<sub>86</sub>; <italic>n</italic> = 6) and 100% (HIIT<sub>100</sub>; <italic>n</italic> = 5) of peak speed of the FIET. Additionally, friendly and official matches, technical-tactical and strength-power training sessions were performed. Before and after the training period, all players performed the FIET, treadmill incremental, repeated sprint ability (RSA), sprint 15-m, and vertical jump tests (CMJ and SJ), and the HRV was measured. Training load (TL) was monitored using the session rating of perceived effort. Data analysis was carried out using Bayesian inference methods.</p></sec><sec><title>Results</title><p>The HIIT<sub>86</sub> model showed clear improvements for the peak oxygen uptake (VO<sub>2</sub>peak), peak speed in the treadmill incremental test, first and second ventilatory thresholds, RSA best and mean times, CMJ, and SJ. The HIIT<sub>100</sub> model presented distinct advances in VO<sub>2</sub>peak, peak speed in the treadmill incremental test, RSA mean time, and CMJ. Between HIIT models comparisons showed more favorable probabilities of improvement for HIIT<sub>86</sub> than HIIT<sub>100</sub> model in all parameters. TL data and HIIT models strongly explained the changes in the RSA mean and best times (<italic>R</italic><sup>2</sup> = 0.71 and 0.87, respectively), as well as HRV changes, and HIIT models explained positively VO<sub>2</sub>peak changes (<italic>R</italic><sup>2</sup> = 0.72). All other changes in the parameters were low to moderately explained.</p></sec><sec><title>Conclusion</title><p>The HIIT<sub>86</sub> proved to be more effective for improving aerobic, RSA, and neuromuscular parameters than HIIT<sub>100</sub> during a typical 10-week futsal training period. So, strength and conditioning specialists prescribing shuttle-run intermittent exercises at submaximal intensities can manage the individual acceleration load imposed on athlete increasing or decreasing either the set duration or the frequency of change of direction during HIIT programming.</p></sec>