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Purpose: This study aimed to examine the effect of a 6-day basketball tournament on the physical demands, perceptual–physiological responses, well-being, and game statistics of elite under-18 (years of age) players. Methods: Physical demands (player load [PL], steps, impacts, and jumps, all normalized by playing time), perceptual–physiological responses (heart rate and rating of perceived exertion), well-being (Hooper index), and game statistics of 12 basketball players were monitored during 6 consecutive games. Linear mixed models and Cohen d effect sizes were used to assess differences among games. Results: Significant changes were found for PL per minute, steps per minute, impacts per minute, peak heart rate, and Hooper index over the tournament. Pairwise comparisons showed that PL per minute was higher in game #1 than in games #4 (P =.011, large), #5 (P <.001, very large), and #6 (P <.001, very large). PL per minute recorded during game #5 was also lower than in games #2 (P =.041, large) and #3 (P =.035, large). The number of steps per minute was higher in game #1 than in all other games (all P <.05, large to very large). Impacts per minute were significantly higher in game #3 than in games #1 (P =.035, large) and #2 (P =.004, large). The only physiological variable that varied significantly was peak heart rate (higher in game #3 than in game #6; P =.025, large). The Hooper index gradually increased throughout the tournament, indicating poorer player well-being as the tournament advanced. Game statistics did not significantly change among games. Conclusions: The average intensities of each game and the players' well-being gradually decreased throughout the tournament. Conversely, physiological responses were mostly unaffected, and game statistics were unaffected. [ABSTRACT FROM AUTHOR]

This study investigated the impact of consecutive basketball games on the physical demands and well-being of young players under 18 years old (U-18), focusing on the peak demands (PD). Monitoring 17 players over 10 games (5 weekends), external load expressed as relative distance (RD) (m·min−1), high-speed running distance covered (HSR) (m·min−1), maximal accelerations (ACC) (n·min−1), and maximal decelerations (DEC) (n·min−1) normalized by playing time were assessed, and the Hooper index was used to evaluate wellness status. Additionally, linear mixed models and generalized linear mixed models were employed to detect differences, revealing a significant decrease in RD·min−1 (F = 4.71, p = 0.04) during the second back-to-back game. ACC·min−1 also exhibited significant differences (χ2 = 6.44, p = 0.01) between players in one or two games. However, the PD remained unchanged. Conversely, the Hooper index significantly improved between games (2.67 arb. u. [95% CI 0.11–5.24]; p = 0.04, d = 1.25 large), indicating enhanced well-being on the second competition day. Although RD·min−1 differences suggest the onset of residual fatigue, U-18 teams seem to adapt correctly to a two-game schedule through player auto-regulatory pacing and squad rotation. The positive change in wellness on the second day suggests a need for a comprehensive approach to assessing basketball performance. [ABSTRACT FROM AUTHOR]

This study investigated the impact of consecutive basketball games on the physical demands and well-being of young players under 18 years old (U-18), focusing on the peak demands (PD). Monitoring 17 players over 10 games (5 weekends), external load expressed as relative distance (RD) (m·min−1), high-speed running distance covered (HSR) (m·min−1), maximal accelerations (ACC) (n·min−1), and maximal decelerations (DEC) (n·min−1) normalized by playing time were assessed, and the Hooper index was used to evaluate wellness status. Additionally, linear mixed models and generalized linear mixed models were employed to detect differences, revealing a significant decrease in RD·min−1 (F = 4.71, p = 0.04) during the second back-to-back game. ACC·min−1 also exhibited significant differences (χ2 = 6.44, p = 0.01) between players in one or two games. However, the PD remained unchanged. Conversely, the Hooper index significantly improved between games (2.67 arb. u. [95% CI 0.11–5.24]; p = 0.04, d = 1.25 large), indicating enhanced well-being on the second competition day. Although RD·min−1 differences suggest the onset of residual fatigue, U-18 teams seem to adapt correctly to a two-game schedule through player auto-regulatory pacing and squad rotation. The positive change in wellness on the second day suggests a need for a comprehensive approach to assessing basketball performance.

Purpose: The primary aim of this study was to evaluate whether the internal (session rating of perceived exertion [sRPE] and Edwards heart-rate-based method) and external training load (jumps) affect the presession well-being perception on the day after (ie, +22 h), according to age and tactical position, in elite (ie, Serie A2) female volleyball training. Methods: Ten female elite volleyball players (age = 23 [4] y, height = 1.82 [0.04] m, body mass = 73.2 [4.9] kg) had their heart rate monitored during 13 team (115 individual) training sessions (duration: 101 [8] min). Mixed-effect models were applied to evaluate whether sRPE, Edwards method, and jumps were correlated (P ≤.05) to Hooper index factors (ie, perceived sleep quality/disorders, stress level, fatigue, and delayed-onset muscle soreness) in relation to age and tactical position (ie, hitters, central blockers, opposites, and setters). Results: The results showed a direct relationship between sRPE (P <.001) and presession well-being perception 22 hours apart, whereas the relationship was the inverse for Edwards method internal training load. Age, as well as the performed jumps, did not affect the well-being perception of the day after. Finally, central blockers experienced a higher delayed-onset muscle soreness than hitters (P =.003). Conclusions: Findings indicated that female volleyball players' internal training load influences the pretraining well-being status on the day after (+ 22 h). Therefore, coaches can benefit from this information to accurately implement periodization in a short-term perspective and to properly adopt recovery strategies in relation to the players' well-being status. [ABSTRACT FROM AUTHOR]

Purpose: To evaluate if the internal training load (ITL; Edwards heart rate [HR]-based and session-rating of perceived exertion [RPE] methods) is affected by the presession well-being perception, age, and position in elite (ie, Serie A2) female volleyball training. Methods: Twelve female elite volleyball players (age: 22 [4] y, height: 1.80 [0.06] m, body mass: 74.1 [4.3] kg) were monitored using an HR monitor during 32 team training sessions (duration: 1:36:12 [0:22:24], in h:min:s). Linear mixed-effects models were applied to evaluate if well-being perception (ie, perceived sleep quality/disorders, stress level, fatigue, and delayed-onset muscle soreness) may affect ITL depending on age and tactical position. Results: Presession perceived fatigue influenced ITL according to the session-RPE (P =.032) but not according to the Edwards method. Age was inversely correlated to the Edwards method (P <.001) and directly correlated to the session-RPE (P =.027). Finally, central blockers experienced a higher training load than hitters (P <.001) and liberos (P <.001) for the Edwards method, as well as higher than hitters (P <.001), liberos (P =.003), and setters (P =.008) for session-RPE. Conclusions: Findings indicated that female volleyball players' perceived ITL is influenced by presession well-being status, age, and position. Therefore, coaches can benefit from this information to specifically predict players' ITL in relation to their individual characteristics. [ABSTRACT FROM AUTHOR]

This study aimed to achieve its objectives by: (i) detailing and analyzing fluctuations in internal and external intensities and assessing well-being of canyoning guides; (ii) investigating the connections between required intensities, well-being measures, and the subjective perception of effort throughout the entire season and its distinct periods. The methodology involved a daily monitoring process for 18 professional canyoning guides (aged 35.28±4.56 years; BMI 24.31±2.94) over an 11-week period, utilizing Polar V800 watch equipment. The Hooper Index (HI) questionnaire and perceived subjective effort (RPE) were administered, and body mass and handgrip strength were measured at two specific points during the season. The findings revealed significant associations between internal intensity variables (VII) and measures of well-being during the overall season, excluding maximum heart rate (HR max), which displayed no correlation with any of the mentioned variables. Significant associations between internal and external intensities were evident, except for RPE, which did not show any association with external intensity variables (VIE). Similarly, well-being vs. VIE did not show significant associations. The first period of the season revealed a lower number of significant associations, while the second period had the highest number of significant associations between variables. Conclusions: Overall, VII is significantly related to measures of well-being. It is noticeable that the perceived effort ratings of the routes show fewer fluctuations in the middle of the season, while well-being ratings increase. The obtained results can help in controlling the psychophysiological needs of the guides and thus achieve better organization and scheduling of activities with greater professionalism and psychophysiological disposition for the tourist. [ABSTRACT FROM AUTHOR]

AimTo study differences in total load exposure, wellness, and psychological variables in youth female (N = 19) and male (N = 20) national team football players during domestic and international playing periods, respectively.ProceduresThe players filled out questionnaires on well-being, stress, and resilience before and after both playing periods lasting 8 days each. The Hooper index was used to monitor daily wellness levels during both playing periods. The number of training sessions and matches were recorded, and the session rating of perceived exertion was collected. Training load, monotony, and strain were calculated. Daily measurements were used to evaluate in-period changes, and composite scores were used to describe differences between periods.ResultsThe international compared to the domestic playing period was for both groups characterized by more matches played, longer field training session durations, and of fewer gym-based sessions (P

The two aims of this study were: (i) to analyse the correlations between weekly acute workload (wAW), chronic workload, acute/chronic workload rate (wACWR), training monotony and strain and the weekly (w) reports of delayed onset muscle soreness, wFatigue, wStress, wSleep quality, and the Hooper indicator (wHI); (ii) to analyse the relationships between early, mid and end preparation season (PS) and the full PS. Ten elite young wrestlers participated in this study. The subjects who were included in this research were wrestlers participating in competitions organized by the National Turkish Wrestling Federation. The subjects were monitored for 32 weeks and were divided into three time periods: early PS, W1 to W11; mid PS, W12 to W22; and end PS, W23 to W32. Very large correlations were found for wAW and wACWR with wFatigue and wHI during end PS. Also, the same workload parameters were significantly correlated with wStress (r = 0.66; P = 0.03), wSleep (r = 0.78; P = 0.004), and wHI (r = 0.72; P = 0.01) during mid PS. The results of this study offer new perspectives for specialists regarding the perceived level of load and the variations of wellbeing during a PS at the level of elite young wrestlers. [ABSTRACT FROM AUTHOR]

The two aims of this study were: (i) to analyse the correlations between weekly acute workload (wAW), chronic workload, acute/chronic workload rate (wACWR), training monotony and strain and the weekly (w) reports of delayed onset muscle soreness, wFatigue, wStress, wSleep quality, and the Hooper indicator (wHI); (ii) to analyse the relationships between early, mid and end preparation season (PS) and the full PS. Ten elite young wrestlers participated in this study. The subjects who were included in this research were wrestlers participating in competitions organized by the National Turkish Wrestling Federation. The subjects were monitored for 32 weeks and were divided into three time periods: early PS, W1 to W11; mid PS, W12 to W22; and end PS, W23 to W32. Very large correlations were found for wAW and wACWR with wFatigue and wHI during end PS. Also, the same workload parameters were significantly correlated with wStress (r = 0.66; P = 0.03), wSleep (r = 0.78; P = 0.004), and wHI (r = 0.72; P = 0.01) during mid PS. The results of this study offer new perspectives for specialists regarding the perceived level of load and the variations of wellbeing during a PS at the level of elite young wrestlers.

The aim of this study was two-fold: (i) to analyze the variations of training intensity and well-being measures of youth football player over a 38 week period; and (ii) to test the relationships between training intensity and well-being variations throughout a youth football season. This study followed a longitudinal design, lasting 38 weeks. Twenty-five players (age: 15.0 ± 0.4 years) participated in this study. Participants were monitored daily to quantify the training intensity (TI) using the session-rate of perceived exertion (s-RPE) and its related indices: training monotony (TM), weekly training intensity (wTI), mean training intensity (mTI), and 5-day average (5d-AVG). A four-item questionnaire was collected daily to quantify the well-being status of each player. Fatigue, stress, delayed onset muscle soreness (DOMS), sleep quality, and the Hooper Index (HI) measures were analyzed. Kruskal-Wallis H test revealed significant differences for TM, mTI, wTI and 5d-AVG (H = 359.53, p = 0.001, η2 = 0.35; H = 414.97, p = 0.001, η2 = 0.41, H = 258.42, p = 0.001, η2 = 0.24 and H = 282.18, p = 0.001, η2 = 0.26). A positive large correlation was found between TM and sleep quality (r = 0.65, p = 0.05) and a negative large correlation between mTI and sleep quality (r = −0.69, p = 0.04). In conclusion, both TI and well-being measures present significant between-week differences at different periods of the season. Also, the variations of sleep quality seem to depend on TM and mTI variations across a youth football season. [ABSTRACT FROM AUTHOR]

Although data currently exists pertaining to the intensity in the women's football match, the knowledge about training is still scarce. Therefore, the aim of this study was to quantify external (locomotor activity) and internal (psychophysiological) intensities, as well as the wellness profile of the typical microcycle from professional female soccer players during the 2019/20 in-season. Ten players (24.6 ± 2.3 years) from an elite Portuguese women soccer team participated in this study. All variables were collected in 87 training session and 15 matches for analysis from the 2019–2020 in-season. Global positioning variables such total distance, high-speed running, acceleration, deceleration and player load were recorded as intensity while Rated Perceived Exertion (RPE) and session-RPE were recorded as internal measures. The Hooper Index (HI) was collected as a wellness parameter. The results showed that internal and external intensity measures were greater in matches compared to trainings during the week (match day minus [MD-], MD-5, MD-4, MD-2), p < 0.05 with very large effect size (ES). In the same line, higher internal and external intensity values were found in the beginning of the week while the lowest values were found in MD-2 (p < 0.05, with very large ES). Regarding wellness, there was no significant differences in the HI parameters between the training days and match days (p > 0.05). This study confirmed the highest intensity values during MD and the lowest on the training session before the MD (MD-2). Moreover, higher training intensities were found in the beginning of the training week sessions which were then reduced when the MD came close. Wellness parameters showed no variation when compared to intensity measures. This study confirmed the hypothesis regarding internal and external intensity but not regarding wellness. [ABSTRACT FROM AUTHOR]

Soccer players performing at high level are frequently exposed to periods of intense training, which can induce substantial stress and fatigue. These high-intensity stimuli likely lead to a lower state of well-being and poor recovery and, consequently, may affect players' performance. This study aimed to assess the influence of well-being indices (i.e., self-ratings of sleep, stress, fatigue, and delayed onset muscle soreness [DOMS]) and the total quality of recovery (TQR) on technical and physiological measures during soccer small-sided games (SSGs). Twenty male professional soccer players (age: 25.1 ± 1.0 years) performed four 25-minute SSG sessions. Well-being indices were collected before each SSG-session. Heart rate was continuously measured throughout each session, and the ratings of perceived exertion and blood lactate concentration were collected after each SSG. A hierarchical cluster analysis was performed across variables and cases to identify associations between variables and variability in players' responses between sessions. No significant correlations were found between well-being indices, TQR and physiological parameters. Total quality recovery was positively correlated with successful pass % (r = 0.27) and interceptions (r = 0.25) and negatively correlated with lost balls (r = −0.25). Fatigue and DOMS were negatively correlated with tackles (r = −0.29, r = −0.28, respectively), successful pass % (r = −0.58, r = −0.55, respectively) and interceptions (r = −0.25, r = −0.27, respectively), and positively correlated with lost balls (r = 0.32, r = 0.28, respectively). Results provide an alternative and complementary method to understand training responses and can be an objective tool to help create subgroups in training for optimizing performance. This study demonstrates the efficacy and utility of using simple well-being and recovery measures to help coaches monitor athlete readiness. [ABSTRACT FROM AUTHOR]

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This study describes the weekly variations of well-being ratings relative to fatigue (wFatigue), stress (wStress), delayed-onset muscle soreness (wDOMS), sleep quality (wSleep), and Hooper questionnaire (wHQ) throughout the season. In addition, the well-being variables for the playing position in different moments of the season were discussed. Twenty-one elite young soccer players U17 took part in this study. From the beginning of the pre-season, well-being status was monitored daily by the HQ method throughout 36 weeks, including four periods: (1) pre-season, (2) early-season, (3) mid-season, and (4) end-season. Players trained at least 3 times per week throughout the season. The main outcome was that, in weeks 33 and 28, the highest [wFatigue: 15.85 ± 3.38 arbitrary units (AU); wHQ: 48.86 ± 9.23 AU] and the lowest (wFatigue: 5.38 ± 1.88 AU; wHQ: 20.43 ± 5.49 AU) wFatigue and wHQ occurred, respectively, although the lowest level of wDOMS happened in week 28 (4.86 ± 2.15 AU), while the highest wDOMS was observed in week 5 (14.65 ± 4.16 AU). The highest wSleep (13.00 ± 2.12 AU) and wStress (11.65 ± 2.92 AU) were observed in weeks 8 and 34, respectively, while the lowest wSleep (5.81 ± 2.29 AU) and wStress (3.76 ± 0.94 AU) were marked in week 29 coincidentally. In the HQ between every weekday, except recovery day, and the day of the match (MD), considerable highest HQ was only revealed in 2 days after MD in contrast to overall team comparison. In the present study, we observed that the well-being changes between different phases of the season as well as between weeks and days of the week with the MD are significant. These results provide a great point of view for coaches and practitioners about well-being variations over a season in elite youth soccer level. As a result, coaches will be more aware about non-functional overreaching and taking measures to prevent it.

This study describes the weekly variations of well-being ratings relative to fatigue (wFatigue), stress (wStress), delayed-onset muscle soreness (wDOMS), sleep quality (wSleep), and Hooper questionnaire (wHQ) throughout the season. In addition, the well-being variables for the playing position in different moments of the season were discussed. Twenty-one elite young soccer players U17 took part in this study. From the beginning of the pre-season, well-being status was monitored daily by the HQ method throughout 36 weeks, including four periods: (1) pre-season, (2) early-season, (3) mid-season, and (4) end-season. Players trained at least 3 times per week throughout the season. The main outcome was that, in weeks 33 and 28, the highest [wFatigue: 15.85 ± 3.38 arbitrary units (AU); wHQ: 48.86 ± 9.23 AU] and the lowest (wFatigue: 5.38 ± 1.88 AU; wHQ: 20.43 ± 5.49 AU) wFatigue and wHQ occurred, respectively, although the lowest level of wDOMS happened in week 28 (4.86 ± 2.15 AU), while the highest wDOMS was observed in week 5 (14.65 ± 4.16 AU). The highest wSleep (13.00 ± 2.12 AU) and wStress (11.65 ± 2.92 AU) were observed in weeks 8 and 34, respectively, while the lowest wSleep (5.81 ± 2.29 AU) and wStress (3.76 ± 0.94 AU) were marked in week 29 coincidentally. In the HQ between every weekday, except recovery day, and the day of the match (MD), considerable highest HQ was only revealed in 2 days after MD in contrast to overall team comparison. In the present study, we observed that the well-being changes between different phases of the season as well as between weeks and days of the week with the MD are significant. These results provide a great point of view for coaches and practitioners about well-being variations over a season in elite youth soccer level. As a result, coaches will be more aware about non-functional overreaching and taking measures to prevent it. [ABSTRACT FROM AUTHOR]

Physiological responses (intensity and recovery kinetics) and well-being indices were examined during a 4-day FIFA international tournament. Ten outfield New Caledonian players (age: 25.5 ± 3.8 years; height: 170 ± 7 cm; weight: 70.7 ± 8.6 kg) were assessed during the four matches. Players’ aerobic and anaerobic capacities were measured before the tournament while heart rate (HR), intra-matches recovery and well-being indices (Hooper index) were measured throughout the tournament. HR (168 ± 8 bpm), exercise intensity (83.4 ± 2.3% of HR reserve) and recovery indices were similar throughout the tournament. Well-being indices were largely alike during the tournament while rating of perceived exertion increased throughout the tournament that was not associated with HR or well-being indices. High aerobic and anaerobic capacities were associated with high match intensities and slow recovery indices. In summary, match intensity assessed by HR, recovery kinetics and well-being of Oceanian futsal players were not modified during a 4-day FIFA futsal tournament. Assessment of aerobic and anaerobic capacities may be useful to select players for optimal performance during this type of international tournament. [ABSTRACT FROM AUTHOR]

To compare the effects of playing one or two games per week on subjective perceived exertion (RPE) and (RPE-based) training load, monotony index, sleep, stress, fatigue, and muscle soreness (Hooper index), total mood disturbance, and injury rate in elite soccer players. Fourteen males from a first-division soccer club (age: 24.42 ± 4.80 years) competed in two games per week for six weeks and one game per week for twelve weeks (a total of 24 games). Paired t-tests and non-parametric Wilcoxon signed ranks evaluated the significance of the differences (p < 0.05). The main findings were that RPE was significantly larger when playing two games per week compared with one game. However, subject total and mean training load, mood disturbance, monotony, and subjective perception of sleep, stress, fatigue, muscle soreness monitoring (Hooper index), and the number of injuries were not different. The findings suggested that competing in two matches per week does not negatively influence injury rate and players’ perceptions of training load or wellness, even though players perceive two games per week as more physically demanding compared with one game per week.

Background: The purpose of this study is to compare training load (TL) preceding a home versus away match in a top-class elite European team during the 2015-2016 season., Methods: Twenty elite outfield soccer players with a mean ± SD age, height and body mass of 25.9 ± 4.6 years, 183.1 ± 6.6 cm and 78.6 ± 6.6 kg, respectively, participated in this study. Total distance covered, high-speed running distance (HSRD), average speed (AvS), rating of perceived exertion (RPE) multiplied by training duration (s-RPE) and Hooper index (HI) were collected. Data from 24 weeks were analyzed through match-day minus/plus approach (MD-5, -4, -3, -2, -1, MD + 1)., Results: All external TL variables indicated a decrease from MD-5 until MD-1 and then an increase to MD + 1 ( p < 0.01). HI decreased from MD-5 to MD-1, but s-RPE increased until MD-3 and then decreased until MD + 1. When comparing TL data that preceded home matches versus away matches, for MD-5, HSRD and muscle soreness exhibited higher values when away match neared ( p < 0.05). For MD-4 and MD-3, total distance, HSRD and AvS exhibited higher values closer to an away match than a home match ( p < 0.05). For MD-1, total distances covered were higher closer to a home match than an away match ( p < 0.01). For MD + 1, all HI items and AvS were higher when an away match was played ( p < 0.05)., Conclusions: This study confirms and provides evidence regarding the influence on internal and external TL data preceding home and away matches from a team that played in European competitions.

• MD-3 is associated with higher imposed loads than any other training day during the week in elite rollerhockeyplayers. • Training load on MD-3 have higher values during regular weeks than during congested weeks. • No meaningful changes were found between types of weeks considering the wellness levels of elite roller hockey players. The aims of this research were (i) to describe variations in the internal load and well-being between regular (one official match) and congested (two official matches) weeks in senior professional roller-hockey players and (ii) to analyse the variations of these determinants, within weeks, for an entire season. Ten professional roller-hockey players (29.3 ± 4.8 years; 178.3 ± 6.4 cm; 78.0 ± 3.9 kg) from the Portuguese 1st league division participated in this study. Perceptions of fatigue, stress, delayed onset muscle soreness, and quality of sleep were recorded, and the Hooper index (1–7) was constructed with the sum of the four subjective ratings. In addition, the rating of perceived exertion (RPE) was collected approximately 30 min after each training session using Borg's CR-10. The volume of training (in minutes) was also collected, and the session-RPE (RPE multiplied by training volume) was calculated. Among congested weeks, in MD-2 (two days before a match), players spend less time training (-20.7%; 90%CI: −22,5; −18,9) and have lower levels of RPE (-20.0%; 90%CI: −25,0; −14,7) and internal training load (−38.2%; 90%CI: -41,9; −34,4) when compared with normal weeks. Similar results were found in both congested and normal weeks regarding the training process of the days classified as MD-3 (three days before a match). After pooling data from the overall season, significant within-weeks differences among different dimensions of the training sessions were observed. Higher values of internal training load (ITL), RPE and volume, were consistently observed on MD-3 than on MD-2 and MD-1. Findings of well-being revealed no meaningful differences (trivial-to-small) between type of weeks. Professional roller-hockey athletes presented overall adjustments of the load based on the number of games and the number of training days across weeks. [ABSTRACT FROM AUTHOR]