Strength and Power Performance Changes During an In-Season Resistance Training Program in Elite Futsal Players: A Case Study.

In this study, we aimed to analyze (i) the strength and power changes after resistance training (RT) in elite futsal players, and (ii) the associations between the session rate of perceived exertion (sRPE) and perceived total quality recovery (TQR), and the sRPE and TQR with the volume load of the RT program. Ten elite futsal players (24.8 ± 5.4 years; 76.2 ± 7.1 kg; 1.77 ± 0.05 m) performed an in-season 8-week RT program twice per week. RT consisted of 2-3 sets x 3-6 reps at 45-65% of one-repetition maximum (1RM) with maximal velocities in the full squat and complementary exercises with the same volume. We assessed the TQR before every session, while the sRPE was calculated after each RT session. One week before and after the intervention, we measured the countermovement jump (CMJ) height, isometric hip adduction strength (IHAS), 1RM, and peak power (PP) in the full squat progressive loading test. After the 8-week training program, there was a significant improvement in most outcomes, yet the gains (%Δ) remained below the minimal detectable change (MDC), except for IHAS (CMJ: p < 0.05, %Δ = 6.7, MDC% = 7.2; IHAS: p < 0.001, %Δ = 19.1, MDC% = 14.6; 1RM: p > 0.05, %Δ = 9.2, MDC% = 21.5; PP: p < 0.05; %Δ = 14.4, MDC% = 22.4). We also found a significant negative correlation between TQR and the sRPE (r = -0.45, p < 0.001). Our data suggest that RT based on low-volume and low-to-moderate loads may not produce a sufficient stimulus to induce meaningful dynamic strength and power gains in elite futsal players, although it improves isometric strength. Furthermore, monitoring TQR before sessions may show coaches how the elite futsal player will perceive the session's intensity.

Monitoring Psychometric States of Recovery to Improve Performance in Soccer Players: A Brief Review.

In order to maximize adaptations and to avoid nonfunctional overreaching syndrome or noncontact injury, coaches in high-performance sports must regularly monitor recovery before and after competitions/important training sessions and maintain well-being status. Therefore, quantifying and evaluating psychometric states of recovery during the season in sports teams such as soccer is important. Over the last years, there has been substantial growth in research related to psychometric states of recovery in soccer. The increase in research on this topic is coincident with the increase in popularity obtained by subjective monitoring of the pre-fatigue state of the players before each training sessions or match with a strong emphasis on the effects of well-being or recovery state. Among the subjective methods for players' control, the Hooper index (HI) assesses the quality of sleep during the previous night, overall stress, fatigue, and delayed-onset muscle soreness. Additionally, the total quality of recovery (TQR) scale measures recovery status. The HI and TQR recorded before each training session or match were affected by the variability of training load (TL) and influenced the physical and technical performances, and the affective aspects of soccer players. Researchers have recommended wellness monitoring soccer players' psychometric state of recovery before each training session or match in order to detect early signs of fatigue and optimize high-level training performance. This method allows for better detecting signs of individual fatigue and allows coaches to adapt and readjust the TL, and avoid physical and technical gaps in order to improve the performance of soccer players.

Psychometric Properties of the Persian Version of the Teasing Questionnaire 23.

The current study was a cross-sectional research and aimed to investigate the factor structure, internal consistency, and validities of the Persian version of the Teasing Questionnaire-Revised (TQ-R). Forward and backward translations of the TQ-R were performed; face and content validities were determined based on comments by a sample of psychology students and specialists. Using the cluster sampling method, 290 participants were recruited, and 201 valid data (M age = 23.53, SD = 3.53, 64.2% men) were analyzed. The factor structure was assessed by confirmatory and exploratory factor analysis (EFA). The result of the confirmatory factor analysis(es) did not confirm the proposed three, four, and five-factor models. EFA revealed four factors with 23 items, explaining 52.03% of the total variance. The internal consistency of the Persian version of Teasing Questionnaire 23 was in the excellent range (α = 0.92), and its expected associations with external correlates (e.g., depression and anxiety) supported the measure's convergent validity. The findings indicated that the Persian version of the TQ-R has sound psychometric properties and can be used as a valid and reliable tool in research and clinical outcomes.

A double-blind, randomized, placebo-controlled trial on the effect of Ashwagandha (Withania somnifera dunal.) root extract in improving cardiorespiratory endurance and recovery in healthy athletic adults.

ETHNOPHARMACOLOGICAL RELEVANCE: Ashwagandha is a reputed herb in traditional Ayurveda, used for various ailments and improving general well-being. Improved cardiorespiratory endurance can aid in attaining better physiological, metabolic, and functional abilities in humans. According to Ayurveda, Ashwagandha has such potential to improve human health. AIM OF THE STUDY: This study aimed to evaluate the efficacy and safety of Ashwagandha root extract in enhancing cardiorespiratory endurance in healthy athletic adults. MATERIALS AND METHODS: Fifty healthy athletic adults were selected randomly and equally allocated to Ashwagandha and placebo groups. The Ashwagandha group received 300 mg of Ashwagandha root extract capsules, twice daily, for 8-weeks. Cardiorespiratory endurance was assessed by measuring the maximum aerobic capacity (VO2 max). Estimation of stress management was done through Total Quality Recovery Scores (TQR), Recovery-Stress Questionnaire for Athletes (RESTQ), and Daily Analysis of Life Demands for Athletes (DALDA) questionnaires along with the antioxidant level measurement. RESULTS: At the end of the study, a statistically significant improvement in VO2 max outcome was observed in the Ashwagandha group when compared to the placebo group (P = 0.0074). The subjects in the Ashwagandha group also displayed a statistically significant increase at the end of the study when compared to the baseline (P < 0.0001). Significantly improved TQR scores were observed in the Ashwagandha group members compared to their placebo counterparts (P < 0.0001). DALDA questionnaire analysis in the Ashwagandha group was found statistically significant (P < 0.0001) compared to the placebo group. RESTQ assessment also yielded better outcomes, especially for fatigue recovery (P < 0.0001), lack of energy (P < 0.0001), and fitness analysis (P < 0.0001). The enhanced antioxidant level was significant (P < 0.0001) in the Ashwagandha group. CONCLUSION: The present findings suggest that Ashwagandha root extract can successfully enhance cardiorespiratory endurance and improve the quality of life in healthy athletic adults. No adverse events were reported by any of the subjects in this study.

Preseason Training Improves Perception of Fatigue and Recovery From a Futsal Training Session.

PURPOSE: To compare the posttraining recovery timeline of elite Brazilian futsal athletes before (Pre-PS) and after 10 weeks of the preseason (Post-PS) period of high-intensity technical-tactical training. METHODS: At the start (n = 13) and at the end of the preseason (n = 7), under-20 male futsal players undertook fitness testing for maximal aerobic power, the countermovement jump (CMJ), and the 10-m sprint with change of direction. Furthermore, at both Pre-PS and Post-PS, the players participated in a training session where performance and psychophysiological measures were recorded before, immediately, 3, 24, and 48 hours postsession. The measures included CMJ, 10-m sprint, creatine kinase, Total Quality Recovery Scale, and Brunel Mood Scale. Effect size (ES) analyses compared fitness and posttraining recovery values for each parameter at Pre-PS versus Post-PS. RESULTS: Only trivial ES (-0.02 to 0.11) was evident in maximal aerobic power, CMJ, and 10-m sprint at Post-PS compared with Pre-PS. For the timeline of recovery, only trivial and small ESs were evident for the 10-m sprint (-0.12 to 0.49), though CMJ recovery was improved at 3 hours (0.87) and 48 hours (1.27) at Post-PS and creatine kinase was lower at 48 hours (-1.33) at Post-PS. Perception of recovery was improved in Post-PS at 3 hours (1.50) and 24 hours postsession (0.92). Furthermore, perception of effort was lower immediately after the session (-0.29), fatigue was lower at 3 hours (-0.63), and vigor responses were improved in all postseason assessments (0.59 to 1.13). CONCLUSION: Despite minimal changes in fitness, preseason training attenuated players' perception of effort and fatigue and improved their recovery profile following a high-intensity technical-tactical training session.

Effect of External Counterpulsation on Running Performance and Perceived Recovery.

PURPOSE: To determine the efficacy of 20 minutes of external counterpulsation (ECP) on subsequent 1.2-km shuttle run test (1.2SRT) performance and perceived recovery following fatiguing high-intensity exercise. METHODS: After familiarization, 13 recreationally active males (21.4 [1.9] y) participated in 2 experimental trials in a randomized crossover design. At 8:00 AM, participants completed a 1.2SRT, followed by an individualized high-intensity exercise bout and 20 minutes of ECP or supine passive rest (control). At 2:00 PM a second 1.2SRT was completed. Completion time for 1.2SRT (measured in seconds), heart rate, and Borg rating of perceived exertion were compared across conditions. Total quality of recovery and 100-mm visual analogue scale of perceived benefit of recovery were assessed at multiple time points. RESULTS: A significantly smaller decline in PM 1.2SRT completion time compared with AM (baseline) was found for ECP compared with control (P = .008; moderate, very likely beneficial effect size of -0.77 [-1.53 to 0.05]). Total quality of recovery was significantly higher for ECP than control (P < .001), and perceived benefit of recovery was higher following ECP (P < .001, very large, most likely beneficial effect size of 2.08 [1.22 to 2.81]). CONCLUSIONS: Twenty minutes of ECP was found to be an effective recovery modality for within-day, between-bouts exercise, positively influencing subsequent 1.2SRT performance and enhancing perceptual recovery. ECP may be applied as a viable alternative to optimize and accelerate the recovery process, particularly in the event of congested training or competition demands.

Influence of Faster and Slower Recovery-Profile Classifications, Self-Reported Sleep, Acute Training Load, and Phase of the Microcycle on Perceived Recovery in Futsal Players.

PURPOSE: To determine whether daily perceived recovery is explained from a multifactorial single-session classification of recovery (ie, faster vs slower) or other circumstantial factors (ie, previous training load, self-reported sleep, or phase of the microcycle). METHODS: Nineteen elite male futsal players were initially allocated to a recovery-classification group (faster recovery, slower physiological, or slower perceptual) based on previous research using a multifactorial cluster-analysis technique. During 4 ensuing weeks of preseason, training loads were monitored via player load, training impulse, and session rating of perceived exertion. Before each day's training, players reported their perception of recovery (Total Quality of Recovery scale [TQR]) and the number of hours and perceived quality of sleep the night prior. A hierarchical linear mixed model was used to analyze the effect of the different recovery profiles, training load, sleep, and phase of the microcycle (ie, start, middle, end) on daily TQR. RESULTS: The recovery classification of players (P = .20), training load (training impulse, P = .32; player load, P = .23; session rating of perceived exertion, P = .46), and self-reported hours slept the night before (P = .45) did not significantly influence TQR. However, perceived sleep quality (P < .01) and phase of the microcycle (P < .01) were significantly associated with TQR (r2 = .41). CONCLUSIONS: Neither recovery classification nor prior training load influenced perceived recovery during the preseason. However, higher TQR was evident with better self-reported sleep quality, whereas lower values were associated with phases of the training week.

Effect of a Night Game on Actigraphy-Based Sleep Quality and Perceived Recovery in Top-Level Volleyball Athletes.

PURPOSE: To evaluate actigraphy-based sleep quality and perceived recovery before and after a night game in top-level volleyball athletes. METHODS: Data on sleep parameters were collected by actigraphy for 3 consecutive nights with 24 elite athletes (12 male and 12 female; mean age [SD] = 26.0 [3.4] y, age range = 20-33 y) during the competitive season 2016-17. Data from 1 night before and 2 nights after an official night match were studied, and athletes' subjective perception of recovery was evaluated by the Total Quality Recovery scale. The following actigraphic parameters were studied: time in bed, sleep latency, sleep efficiency, wake after sleep onset, total sleep time, immobility time, moving time, and fragmentation index. RESULTS: The analysis highlighted significant differences for all sleep variables. Total sleep time was lower the first night after the match compared with prematch sleep (P = .02) and the second night (P = .0009) after night competition (P = .0001, F2,23 = 22.93, ηp2 = .66 ). Similarly, sleep efficiency was lower immediately after the night competition compared with both prematch values (P = .03) and the second night (P = .0003) after competition (P = .0005, F2,23 = 8.93, ηp2 = .44 ). The same differences were observed in the perceived recovery values (P = .001, F2,23 = 13.37, ηp2 = .54 ). CONCLUSIONS: Coaches and medical staff should use these findings to develop a greater knowledge of how sleep differs during different phases of competition and to implement behavioral and sleep-hygiene strategies in top-level athletes.

Monitoring Training Load, Recovery, and Performance of Brazilian Professional Volleyball Players During a Season.

PURPOSE: To describe and analyze the distribution of internal training load (ITL), recovery, and physical performance of professional volleyball players throughout 1 season. METHODS: Fifteen male professional Brazilian volleyball players participated in this study. The session rating of perceived exertion (s-RPE) and Total Quality Recovery (TQR) score were collected daily for 36 wk. s-RPE was collected after each training session, and TQR, before the first session of the day. The sum of the ITL of each session during the week, training monotony, strain, acute∶chronic workload ratio, match difficulty score, and average of the TQR scores were recorded for the analysis. In addition, the athletes performed countermovement-jump (CMJ) tests with and without the use of the arms 4 times over the season. RESULTS: The season mean weekly ITL was 3733 (1228) AU and the TQR was 15.02 (0.71). The ITL and recovery demonstrated undulating dynamics over the 36 wk, with higher weekly ITL in the preparatory periods (F = 50.32; P < .001) and worse recovery during the main competition (F = 6.47; P = .004). Negative correlations were found between TQR and ITL variables (P < .05). There was improvement and maintenance in CMJ tests without (F = 11.88; P < .001) and with (F = 16.02; P < .001) the use of the arms after the preparatory periods. CONCLUSIONS: The ITL variables, recovery, and physical performance changed significantly throughout a professional volleyball season. Despite the decrease in ITL during the main competitive period, the correct distribution of weekly ITL seems to be very important to guarantee the best recovery of athletes.

Monitoring the training intensity and recovery with a psychometrics approach: a gender comparison with young athletes

AIMS: The purpose of present study was verify if the RPE-training session differs between females and males during the track and field training and if biological maturity (BM) has interference on this response. METHODS: Seventy-five athletes (13-15 years old) have participated of study, with 38 male 37 female. Five training sessions of track and field were prescribe and monitoring by RPE-training session (intensity) and Total Quality Recovery (TQR) (recovery). RESULTS: There was no statistical difference between males and females on 75-meters run, long jump and shot put. Otherwise, for training of 250 and 1000-meters females related higher RPE-values than males 3.68 ± 0.79, 3.26 ± 0.56, p < 0.01 and 4.14 ± 0.94, 3.72 ± 0.89, p < 0.05; respectively. Even when controlling the effect of biological maturity the same results were observed to 250-meters F1,73 = 2.060; p = 0.002 and 1000-meters F1,73 = 0.997; p = 0.036. There was no difference for TQR between genders. CONCLUSION: The comparison the RPE-training session of females and males indicated there were difference to 250 and 1000-m training sessions, females have more RPE-training sessions than males. Additionally, there were no differences between genders for recovery parameters, even controlling BM.(AU)