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Purpose: To (1) examine within-individual player dose–response associations between selected training-load measures and changes in aerobic fitness level via submaximal exercise heart rate (HRex%) and (2) measure the relationships between these dose–response associations with basal HRex% (to study the influence of fitness level on dose–response relationship). Methods: During an in-season phase, selected training-load measures including total minutes, total distance, mechanical work (the sum number of accelerations and decelerations > 3 m2), high metabolic load distance, and Edwards' training impulse were collected via Global Positioning System and heart-rate sensors for analyzing accumulated load. A submaximal warm-up test was used repeatedly before and after 9 phases to elicit HRex% and track fitness changes at an individual level. Results: Negative to positive extensive ranges of within-individual associations were found among players for different metrics (r = −.84 to.89). The relationship between pooled HRex% (basal fitness) and dose–response correlations showed inverse very large (r = −.71) and large (r = −.65) values for accumulated weekly minutes and distance. However, moderate values were found for all other measures (r = −.35 to −.42). Conclusions: Individual players show extensive different ranges of dose–response associations with training measures. The dose–response association is influenced by players' fitness level, and players with lower fitness levels show stronger inverse relationships with accumulated minutes and total distance. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this study was 2-fold: (1) to examine the relationships between psychophysiological responses and locomotor demands with variations in technical performance during 2v2 and 4v4 conditioned games and (2) to compare psychophysiological and locomotor responses among players exhibiting higher and lower technical performance levels during the conditioned games. Methods: Twenty-four male youth soccer players (16.3 ± 0.8 y old) participating at the trained/developmental level underwent monitoring for psychophysiological responses (including heart rate, rating of perceived exertion, and visual analog scale), locomotor demands (such as distance covered), and technical performance variables (including successful and unsuccessful passes and shots, as well as lost balls) across 2v2 and 4v4 formats. These formats were applied 4 times within a single session and were replicated twice over 2 weeks. Results: Large correlations between the number of lost balls per minute and mean heart rate were found in both the 2v2 and 4v4 games (r =.586 and r =.665, respectively). Successful shots were inversely and largely correlated with mean heart rate (r = −.518) in 4v4 games. The number of interceptions per minute was inversely and significantly correlated with the visual analog scale in 2v2 and 4v4 games (r = −.455 and r = −.710, respectively). The frequency of lost balls was significantly higher among players who attained a higher mean heart rate (2v2: +42.9%, P =.031, d = −0.965; 4v4: +57.1%, P <.001, d = −2.072). Conclusions: Coaches should be aware that highly psychophysiologically demanding scenarios may significantly impair technical performance. Therefore, prioritizing technical performance by deliberately adjusting the intensity should be considered. [ABSTRACT FROM AUTHOR]

Purpose: To systematically review the physical, physiological, perceptual, and technical–tactical demands of official 3 × 3 basketball games. Methods: The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed. Three electronic databases (PubMed, Scopus, and Web of Science) were systematically searched to identify studies assessing physical, physiological, perceptual, and technical–tactical demands of 3 × 3 games. Data were also coded according to player sex and tournament phase. Quality assessment of the included studies was performed using a modified Downs and Black checklist. Results: Thirteen articles were finally included, with a mean quality of 8.6 (1.1) out of 11. Three-by-three basketball games have an intermittent profile (1:1 work–rest ratio), with a duration of ∼15 minutes, and are characterized by short (6–8 s) ball possessions and considerable physical (17–33 accelerations, 24–44 decelerations, 62–94 changes of directions, and 17–24 jumps per game) and physiological (lactate: ∼6.2 mmol·L−1) demands. Overall, the game performance profile is similar in males and females, with minor changes happening across tournament phases. Several key technical–tactical indicators were identified as discriminating winning and losing teams, such as better shooting and defensive efficiency, low number of turnovers, and implementing tactical actions involving more players, passing first, and ending possessions with shots from outside of the arch from the top of the key. Conclusions: Three-by-three basketball is an intermittent, physically demanding sport characterized by quick plays and specific tactical constraints. This review provides information that should be considered by performance staff to improve training prescription, game tactical plans, and for player selection and talent identification. [ABSTRACT FROM AUTHOR]

Field‐based team sports typically perform mixed‐modality training, incorporating both field‐ and resistance‐based sessions. As such, the availability of useful and reliable methods to monitor the internal and external training loads of all modalities is essential for planning effective training. Twenty‐one junior developmental female rugby league athletes (age: 17.5 ± 0.5 years, height: 167.7 ± 4.6 cm, body mass: 71.1 ± 12.9 kg, and training age: 2.3 ± 1.1 year) performed two to three resistance training sessions a week for 20 weeks (9 weeks preseason and 11 weeks in‐season). The volume load method and session rating of perceived exertion (sRPE) were used to quantify the external and internal load of the resistance training sessions, respectively. Volume load was categorised into either dynamic, plyometric, maximal or repeated efforts. Multiple linear mixed models were performed to determine whether significant relationships were present between the changes in volume load components and sRPE throughout the season. Significant relationships were identified between a decrease in sRPE, with associated increases in absolute and relative overall volume load (T1,725.5 = −2.1, p = 0.04; T1,133.5 = −2.2, p = 0.03), and relative dynamic (T1,24.1 = −8.4, p < 0.01) and lower‐body plyometric efforts (T1,16.8 = −17.2, p < 0.01). Conversely, significant relationships were observed between an increase in sRPE, with associated increases in relative lower‐body (T1,20.3 = 12.9, p < 0.01) and upper‐body repeated efforts (T1,28.5 = 9.7, p = 0.03) as well as relative upper‐body plyometric (T1,71.1 = 2.9, p = 0.01) and maximal efforts (T1,75.3 = 3.4, p < 0.01). These findings highlight the practicality of the volume load method for planning and monitoring resistance training in field‐based team sport athletes, providing useful data for the planning of specific exercises within the in‐season training week. Highlights: The volume load method is a practical tool for monitoring and planning resistance training due to the significant relationships observed between changes in volume load components with alterations in sRPE throughout a competitive season.Increases in absolute and relative overall volume loads, as well as relative dynamic and lower‐body plyometric efforts, were associated with significantly lower perceived difficulty (sRPE).A greater volume of lower‐body and upper‐body repeat efforts as well as upper‐body plyometric and maximal efforts had a significantly higher psychophysiological perception of training intensity.Practitioners should consider implementing the volume load method for monitoring and planning resistance training sessions in field‐based team sports, calculating the associations between resistance training types and perceived difficulty within their cohort, to facilitate better in‐season planning and prescription. [ABSTRACT FROM AUTHOR]

The effects of acute hypoxic exposure on mechanical output and internal responses during cycling with heart rate (HR) clamped at lactate thresholds 1 and 2 (LT1 and LT2, respectively) were investigated. On separate days, 12 trained males cycled for 15 min at a clamped HR corresponding to LT1 and LT2 under normoxic or hypoxic conditions (simulated altitude of ∼3500 m and inspired oxygen fraction of 13.6%). Power output (PO), arterial oxygen saturation, ventilatory and perceptual responses were measured every 3 min, with metabolic response assessed pre‐ and post‐exercise. At LT1, PO was consistently lower in hypoxia compared to normoxia (p < 0.01). At LT2, PO was not different between normoxia and hypoxia at 3 and 6 min (both p > 0.42) but was significantly lower in hypoxia at 9, 12 and 15 min (all p < 0.04). Overall, hypoxia induced a greater decrease in PO at LT1 (−33.3% ± 11.3%) than at LT2 (−18.0 ± 14.7%) compared to normoxia. Ventilatory, perceptual and metabolic responses were influenced by exercise intensity (all p < 0.01) but not environmental conditions (all p > 0.17). A simulated altitude of ∼3500 m is more effective in reducing cycling PO at LT1 than LT2 during HR clamped cycling while maintaining other internal loads. Therefore, normobaric hypoxia provides a greater benefit via a larger decrease in the mechanical constraints of exercise at lower exercise intensities. [ABSTRACT FROM AUTHOR]

Context: Athletes often face the dual challenge of high training loads with insufficient time to recover. Equally, in any team, sports medicine and performance staff are required to progress training loads in healthy athletes and avoid prolonged reductions in training load in injured athletes. In both cases, the implementation of a well-established psychological technique known as motor imagery (MI) can be used to counteract adverse training adaptations such as excessive fatigue, reduced capacity, diminished performance, and heightened injury susceptibility. Study Design: Narrative overview. Level of Evidence: Level 5. Results: MI has been shown to enhance performance outcomes in a range of contexts including rehabilitation, skill acquisition, return-to-sport protocols, and strength and conditioning. Specific performance outcomes include reduction of strength loss and muscular atrophy, improved training engagement of injured and/or rehabilitating athletes, promotion of recovery, and development of sport-specific skills/game tactics. To achieve improvements in such outcomes, it is recommended that practitioners consider the following factors when implementing MI: individual skill level (ie, more time may be required for novices to obtain benefits), MI ability (ie, athletes with greater capacity to create vivid and controllable mental images of their performance will likely benefit more from MI training), and the perspective employed (ie, an internal perspective may be more beneficial for increasing neurophysiological activity whereas an external perspective may be better for practicing technique-focused movements). Conclusion: We provide practical recommendations grounded in established frameworks on how MI can be used to reduce strength loss and fear of reinjury in athletes with acute injury, improve physical qualities in rehabilitating athletes, reduce physical loads in overtrained athletes, and to develop tactical and technical skills in healthy athletes. [ABSTRACT FROM AUTHOR]

Heart rate (HR) is the most frequently used variable to monitor athletes' internal load during training and competition. High-intensity effort and abrupt HR changes during exercise have presented measurement accuracy issues depending on the chosen device. Therefore, this study aimed to compare two chest straps (Garmin HRM-Dual and Coospo H6) and one armband (Coospo HW807) during intermittent exercise under controlled laboratory conditions. Thirty active young men performed an indoor cycling protocol consisting of seven intermittent efforts with a 2 min effort stage followed by a 2 min recovery stage. The results show no difference between the chest straps (Garmin vs. Coospo), with a high level of agreement between the two devices (Bias = −0.2 bpm, LoAup = +2.5 bpm, LoAlow = −2.9 bpm, ICC = 0.6–1.0). Differences were found between the chest straps and the armband during effort stages (±5 bpm, p < 0.05), with similar bias and LoA values in the Garmin Strap vs. Coospo Armband (Bias = −0.5 bpm, LoAup = 8.3 bpm, LoAlow = −9.3 bpm) and Coospo Strap vs. Coospo Armband (Bias = −0.4 bpm, LoAup = 8.3 bpm, LoAlow = −9.0 bpm) comparison. Chest straps (Garmin HRM-Dual and Coospo H6) accurately measure HR during intermittent exercise with abrupt HR changes. However, caution should be taken when using armbands (Coospo HW807) to monitor intermittent and high-intensity effort. [ABSTRACT FROM AUTHOR]

External (EL) and internal (IL) load are commonly used methods used to quantify training load in team sports. Playing time and playing position may influence the training loads for specific athletes throughout a season. The purpose of the current study was to evaluate the effect of athlete playing status and individual in-season practices on EL and IL across a collegiate women's basketball season. Female basketball athletes were classified as high-minute (HMA; ≥15 min/game) or low-minute (LMA; <15 min/game) and wore microsensors during 53 practices for a total of 583 data points. EL was obtained via an inertial measurement unit (IMU) device that contained a triaxial accelerometer to obtain three-dimensional positioning data. IL and strength training (ST) load were determined via session rating of perceived exertion (sRPE) to create a daily summated value. Descriptive statistics indicate that athletes experienced individual differences in EL, ST, and IL throughout the season. A growth model showed that HMAs experienced higher EL than LMAs at the start of the season for practices (90.21 AU). Across all athletes, IL increased across the season (40.11 AU) and for each 1 unit of change in EL, IL increased by 1.04 AU. Repeated measures correlations identified a large relationship between IL and EL (r = 0.51, p < 0.001). A location-scale model indicated that the within-person variability of IL across all athletes was 3.29 AU but was not due to athlete playing status. It is recommended to base in-season training on individual loads and game demands to promote athlete readiness and improved sport performance. [ABSTRACT FROM AUTHOR]

The purpose of this study was to compare the internal and external load in continuous and intermittent small-sided games (SSG) formats. Eight semi-professional soccer players participated in the study, and they completed three protocols: (a) I-intermittent SSG protocol (Int-I, 4 sets of 4 min with a 3 min recovery); (b) Continuous SSG protocol (Con, 2 sets of 8 min with a 3 min recovery); (c) II-SSG protocol (Int-II, 4 sets of 4 min, where each set includes 1 min of exercise with varying recovery periods (10, 20, 30 s), with a 3 min recovery period between sets). A one-way analysis of variance (ANOVA) was used to analyze the dependent variables, with significance determined at p < 0.05. The three protocols differed in total distance covered and in distance covered at speeds >19 km/h, with the Int-II protocol resulting in the greatest distance covered (p < 0.05). Additionally, players in the Con protocol exercised at a higher percentage of their maximum heart rate (%HRmax) (p < 0.05), while the highest RPE value was observed in the Int-I interval protocol (p < 0.05). The external load experienced by players in intermittent SSG protocols is higher, while internal load (%HRmax) remains relatively low. This effect is especially notable in the new intermittent exercise model proposed in this study, which incorporates progressively increasing recovery times within each exercise set. Coaches can use this model to increase players' external load without causing a heightened perception of fatigue. [ABSTRACT FROM AUTHOR]

Purpose: To assess objective strain and subjective muscle soreness in "Bigs" (offensive and defensive line), "Combos" (tight ends, quarterbacks, line backers, and running backs), and "Skills" (wide receivers and defensive backs) in American college football players during off-season, fall camp, and in-season phases. Methods: Twenty-three male players were assessed once weekly (3-wk off-season, 4-wk fall camp, and 3-wk in-season) for hydroperoxides (free oxygen radical test [FORT]), antioxidant capacity (free oxygen radical defense test [FORD]), oxidative stress index (OSI), countermovement-jump flight time, Reactive Strength Index (RSI) modified, and subjective soreness. Linear mixed models analyzed the effect of a 2-within-subject-SD change between predictor and dependent variables. Results: Compared to fall camp and in-season phases, off-season FORT (P ≤.001 and <.001), FORD (P ≤.001 and <.001), OSI (P ≤.001 and <.001), flight time (P ≤.001 and <.001), RSI modified (P ≤.001 and <.001), and soreness (P ≤.001 and <.001) were higher for "Bigs," whereas FORT (P ≤.001 and <.001) and OSI (P =.02 and <.001) were lower for "Combos." FORT was higher for "Bigs" compared to "Combos" in all phases (P ≤.001,.02, and.01). FORD was higher for "Skills" compared with "Bigs" in off-season (P =.02) and "Combos" in-season (P =.01). OSI was higher for "Bigs" compared with "Combos" (P ≤.001) and "Skills" (P =.01) during off-season and to "Combos" in-season (P ≤.001). Flight time was higher for "Skills" in fall camp compared with "Bigs" (P =.04) and to "Combos" in-season (P =.01). RSI modified was higher for "Skills" during off-season compared with "Bigs" (P =.02) and "Combos" during fall camp (P =.03), and in-season (P =.03). Conclusion: Off-season American college football training resulted in higher objective strain and subjective muscle soreness in "Bigs" compared with fall camp and during in-season compared with "Combos" and "Skills" players. [ABSTRACT FROM AUTHOR]

Abstract Background Limited research has investigated the association between training load and performance of basketball players during games. Little is known about how different indicators of player performance are affected by internal and external loads. The purpose of this study was to determine whether external and internal loads influence basketball players’ performance during games. Method This longitudinal study involved 20 professional male basketball players from a single team, classified as first-level athletes by the Chinese Basketball Association. During 34 games, external load was measured as PlayerLoad using micro-sensors, while internal load was assessed using session rating of perceived exertion (sRPE). Player performance was quantified using three metrics: Efficiency, Player Index Rating (PIR), and Plus-Minus (PM). Pearson correlation coefficients were calculated to assess the strength of the relationships between training loads and performance metrics. Linear mixed-effects models were applied to further analyze the influence of internal and external loads on basketball performance. Results Pearson correlation analysis revealed moderate positive correlations between both sRPE and PlayerLoad with Efficiency and PIR. Specifically, sRPE (r = 0.52) and PlayerLoad (r = 0.54) were both significantly correlated with Efficiency. For PIR, sRPE (r = 0.50) and PlayerLoad (r = 0.56) also demonstrated moderate correlations. These correlations were further substantiated by linear mixed-effects models, which showed that sRPE (β = 2.21, p

Purpose This study aimed to compare internal load (IL) and external load (EL) variables between blocks of a game-based Rugby Sevens training session. Methods A descriptive cross-sectional study design was employed. Twenty-eight professional athletes from the first division of the Brazilian national championship were monitored during a game-based training session, which consisted of varying durations of ball-in-play blocks. The training session comprised 4 blocks of 1 min, 2 blocks of 2 min, and 1 block of 3 min of ball-in-play, with 1-min intervals between blocks of the same duration and 2-min intervals between blocks of different durations. Results A reduction in EL was reported during longer bouts of ball-in-play. Specifically, a reduction was observed when comparing block 5 to block 1 ( p = 0.021) and when comparing block 7 with blocks 1, 2, 3, 4, and 6 for distance per min. For accelerations and decelerations, blocks 5, 6, and 7 showed lower values than block 1 ( p = 0.001 and p = 0.005, respectively). Block 4 showed an increase in rate of perceived exertion (RPE) values compared to blocks 1 ( p = 0.010) and 2 ( p = 0.004). Increased RPE values were also found in block 5 compared to block 1 ( p = 0.001), as well as compared to blocks 2 ( p = 0.001) and 3 ( p = 0.002). RPE in block 7 was higher than in blocks 1, 2, 3, and 4 ( p = 0.001). Conclusions In summary, higher RPE values were reported across blocks, and IL appeared to be more volume-dependent.

The study aim was to compare physiological, physical, accumulated wellness and load markers within a European professional soccer team between starters and non-starters. Ten starters (age: 25.1 ± 2.2 years; experience: 7.3 ± 2.3 years) and eight non-starters (age: 26.1 ± 4.6; years’ experience: 8.3 ± 4.1 years) participated in the study. The study was conducted across 20 weeks where 75 training sessions and 15 matches occurred. Wellness (fatigue, quality of sleep, muscle soreness, stress and mood) and load (rating of perceived exertion (RPE), accelerations, decelerations, high-speed running and sprinting) measures were observed. Physiological evaluation consisted of a 1200 m maximum effort shuttle test while physical capacity assessment included isokinetic strength, jump ability and balance tests. Isokinetic tests were used to assess peak torque of both legs (extension and flexion at 60°/s and 180°/s), single squat jump and single hop jump were utilized to assess jump ability and Y-balance tests were employed to examine balance. Starters presented significantly higher values for peak torque extension of the non-dominant leg compared to non-starters (p = 0.038, effect size (ES) = 0.996), while non-starters showed higher values for both Y-balance postero-medial and postero-lateral (p = 0.009, ES = −1.309 and p = 0.021, ES = −1.133, respectively). Accumulated duration and RPE were lower for non-starters than starters (p ≤ 0.001, ES = 1.268, and p = 0.022, ES = 1.123, respectively). The physiological and physical tests conducted in this study do not seem to determine the starting status of players, considering that only one test revealed significantly higher values for starters. Despite the lower training and match duration for non-starters, this showed that it is possible to accumulate identical load while managing wellness regardless of starting status.

Background: Limited research has investigated the association between training load and performance of basketball players during games. Little is known about how different indicators of player performance are affected by internal and external loads. The purpose of this study was to determine whether external and internal loads influence basketball players' performance during games. Method: This longitudinal study involved 20 professional male basketball players from a single team, classified as first-level athletes by the Chinese Basketball Association. During 34 games, external load was measured as PlayerLoad using micro-sensors, while internal load was assessed using session rating of perceived exertion (sRPE). Player performance was quantified using three metrics: Efficiency, Player Index Rating (PIR), and Plus-Minus (PM). Pearson correlation coefficients were calculated to assess the strength of the relationships between training loads and performance metrics. Linear mixed-effects models were applied to further analyze the influence of internal and external loads on basketball performance. Results: Pearson correlation analysis revealed moderate positive correlations between both sRPE and PlayerLoad with Efficiency and PIR. Specifically, sRPE (r = 0.52) and PlayerLoad (r = 0.54) were both significantly correlated with Efficiency. For PIR, sRPE (r = 0.50) and PlayerLoad (r = 0.56) also demonstrated moderate correlations. These correlations were further substantiated by linear mixed-effects models, which showed that sRPE (β = 2.21, p < 0.001) and PlayerLoad (β = 1.87, p = 0.004) had significant independent effects on Efficiency. Similarly, sRPE (β = 2.15, p < 0.001) and PlayerLoad (β = 2.36, p < 0.001) significantly predicted PIR. Additionally, a significant interaction effect between PlayerLoad and sRPE was found on Plus-Minus (β = -2.49, p < 0.001), indicating that the combination of high physical and psychological loads negatively impacted overall team performance. However, the correlation strengths for Plus-Minus were relatively low (sRPE: r = 0.16; PlayerLoad: r = 0.10). Conclusion: Both external and internal loads positively contribute to performance, the integration of objective (accelerometry) and subjective (sRPE) measures of load provides a comprehensive understanding of the physiological and psychological demands on athletes, contributing to more effective training regimens and performance optimization. [ABSTRACT FROM AUTHOR]

Wave propagation and vibration state in the sports balls have important effects on the stability in movement and accuracy of hits. In some sports, similar to football and volleyball, the balls are subjected to continuous strong hits from players. In the current study, the wave propagation in a beach volleyball ball under the effect of temperature change, different material characteristics, different thicknesses, and the total mass is investigated. In this regard, the ball is modeled using a spherical shell structure and a higher-order displacement field is considered. The classical theory of elasticity is employed along with Hamilton's principle for the spherical shell. The outcome equations with different boundary conditions are solved by engaging the discrete singular convolution method (DSCM). In addition, the finite element method is used to obtain the modal shape and natural frequency. The formulations and solution method are utilized in different steps of convergence examination, validation, and parametric study to acquire a comprehensive insight into the behavior of beach volleyball balls under the effect of the dynamic loading conditions. In specific, we are more interested in the phase velocity of the ball. The results are presented for different temperature changes and geometrical and material properties. [ABSTRACT FROM AUTHOR]

Purpose. The primary aim of this study was to asses the internal and external match demands of young beach soccer players during an official match. The secondary aim was to evaluate how these demands compared to those of 11-a-side soccer Materials and methods. The study involved 24 young soccer players under the age of 17 (all outfield players). Performance assessments were performed on a sand field (35 x 28 m) with beach soccer ball, over three 12-min periods. Internal physiological indicators (heart rate, RPE) and external indicators (total distance, distance/per minute, peak speed, ecc) were collected during and after the match. Results. The internal load values obtained show that the beach soccer competition imposes high cardio-vascular intensity on the young soccer player: about 70% of the distance covered results in a HR value between 80% and 100% of HRmax, with an average HR of about 95% of HRmax. The playing time for each player was 17.11±4.23 minutes. The total distance covered and the distance achieved per minute of play were 1733.21±280.76 meters and 83.95±6.29 meters, respectively. The equivalent distance was 1957.98±320.29 meters. The peak speed reached by the young soccer players was 20.01±0.97 km/h while the average speed observed was 5.12±0.52 km/h. The distance measured in moderate- and high-intensity running was significantly lower than the value of low-intensity running (p<0.05). The metabolic power intervals showed that the young soccer players ran 1480.46 ± 236.48 meters at low power, 199.45 ± 49.56 meters at high power, 46.13 ± 14.25 at very high power, and 7.43 ± 6.57 meters at maximum power. The values at high power (p<0.05), very high power (p<0.05) and maximum power (p<0.001) were significantly lower than those at low power. Conclusions. The performance profile of the young beach soccer player imposes high heart rate values and modest mechanical load during official competition. The performance profile is very different from that of the young 11-a-side soccer player. Beach soccer can be considered a sport that complements the physical condition of the 11-a-side soccer player. [ABSTRACT FROM AUTHOR]

Microcycles are fundamental structures for training prescription and load management, helping to optimise training effects and performance. This study quantified external and internal loads of Italian Serie A youth soccer players across competitive weeks and their periodisation within microcycles. Data were collected from 90 players belonging to four age groups (under-19, -17, -16, -15) across a season. Methods of monitoring external [duration and global navigation satellite systems (GNSS)] and internal load [heart rate (HR) and rating of perceived exertion (RPE)] were employed. Linear mixed models determined differences in training loads across age groups, training days and player positions. Under-19 and under-17 players trained five times per week, while younger players trained four times. Late-stage academy players (under-19 and -17) demonstrated higher weekly accumulated external and sRPE training load compared to their younger counterparts (p < 0.05 between groups). Weekly accumulated HR internal loads were higher in under-15 players (p < 0.05 between groups). Marked fluctuations of daily load were observed across microcycles in under-19 and under-17 groups (p < 0.05 between days). These findings highlight progressive increases in training load throughout the development pathway, with late-stage academy players training with higher frequency, volume and marked periodisation compared to younger players. [ABSTRACT FROM AUTHOR]

We examine the impact of the acute manipulation of oxygen availability during discrete phases (active and passive) of a repeated‐sprint cycling protocol on performance, physiological, and perceptual responses. On separate days, twelve trained males completed four sets of five 5‐s 'all out' cycle sprints (25‐s inter‐sprint recovery and 5‐min interset rest) in four randomized conditions: normobaric hypoxia (inspired oxygen fraction of 12.9%) applied continuously (C‐HYP), intermittently during only the sets of sprints (I‐HYPSPRINT) or between‐sets recovery periods (I‐HYPRECOVERY), or not at all (C‐NOR). Peak and mean power output, peripheral oxygen saturation, heart rate, blood lactate concentration, exercise‐related sensations, and vastus lateralis muscle oxygenation using near‐infrared spectroscopy were assessed. Peak and mean power output was ∼4%–5% lower for C‐HYP compared to C‐NOR (P ≤ 0.050) and I‐HYPRECOVERY (P ≤ 0.027). Peripheral oxygen saturation was lower during C‐HYP and I‐HYPSPRINT compared with C‐NOR and I‐HYPRECOVERY during sets of sprints (∼83–85 vs. ∼95%–97%; P < 0.001), while lower values were obtained for C‐HYP and I‐HYPRECOVERY than C‐NOR and I‐HYPSPRINT during between‐sets rest period (∼84–85 vs. ∼96%; P < 0.001). Difficulty in breathing was ∼21% higher for C‐HYP than C‐NOR (P = 0.050). Ratings of perceived exertion (P = 0.435), limb discomfort (P = 0.416), heart rate (P = 0.605), blood lactate concentration (P = 0.976), and muscle oxygenation‐derived variables (P = 0.056 to 0.605) did not differ between conditions. In conclusion, the method of hypoxic exposure application (continuous vs. intermittent) affects mechanical performance, while internal demands remained essentially comparable during repeated cycle sprints. Highlights: Continuous hypoxic exposure resulted in reduced repeated sprint performance compared to both normoxia and intermittent hypoxia during recoveries.Cardiovascular solicitation and glycolytic contribution showed no significant differences between ambient air and hypoxic conditions regardless of the timing of hypoxic gas administration (entire session, sprints only, or recovery only).The method of applying hypoxic exposure significantly affected mechanical performance, while internal physiological demands remained essentially comparable between conditions during repeated cycle sprints. [ABSTRACT FROM AUTHOR]

Perceived exertion (RPE, RPEdur) and wellness scores (Hooper) are common methods to assess the training load and readiness in football. However, in professional football, there is a lack of data concerning the application of these tools in microcycles of different durations. Therefore, the purpose of this study was to explore the correlations between (a) RPE, RPEdur, and weekly external load (EXLD) and (b) Hooper and EXLD within microcycles of different durations. Independent of the microcycle's length, RPE and RPEdur correlated with the EXLD. In MIC5, RPE and RPEdur correlated with the EXLD, except for accelerations > 3 m/s2 (ACh) and distance > 25.5 km/h (SPvh). In MIC6, RPE and RPEdur correlated with the EXLD, except Ach (with RPE). In MIC7 and MIC9, RPE and RPEdur correlated with the EXLD, except RPE with ACh. For Hooper variables, independent of the microcycle duration, SRN and FTG had more correlations in comparison to SLP; the same finding was observed in MIC7 and MIC9, but SRN and SLP in MIC5 and MIC6, respectively, had no correlations. Multiple regression analysis showed that for RPE, the main predictors are total distance (TD), metabolic power distance > 50 w/kg (PWvh), and ACh, which can explain 31% of the variance, but for RPEdur, 58% can be explained by DUR, TD, and PWvh. For SLP, the predictors FTG and SRN can explain a very small percentile of the variance (1%, 4%, and 6%, respectively). The main findings were the multiple correlations between RPE, RPEdur, Hooper, and microcycles of different durations; most of them were found for long durations. This tendency is similar to that described in the literature for microcycles of the same duration. (a) EXLD has a stronger correlation with RPEdur than with RPE, and (b) FTG and SRN are the best predictors of the EXLD during the upcoming training session. It is recommended that fitness coaches use these tools to assess and forecast the training load; thus, they will be able to prepare more effective sessions during microcycles of different durations. [ABSTRACT FROM AUTHOR]

National Collegiate Athletics Association (NCAA) Division III athletes have restrictive rules on preseason practice timelines leading to questions about how performances are affected by environmental conditions during preseason practices. Purpose: The purpose was to determine how heat, humidity, core body temperature, hydration status, and reported sleep affected the performances of women’s Division III soccer players during preseason training. Methods: Ten female collegiate soccer players (age=19.5±1.43 years, mass=62.14±5.01 kg, height=167.78±7.65 cm) were recruited. Core temperature was collected every 10 minutes during practice via an ingestable thermistor. Before each training session, participants recorded the previous night's sleep quantity and quality via the Karolinska Sleep Diary (KSD). Internal and external loads were monitored via heart rate, training load session rate of perceived exertion (TL-sRPE), and Global Position System (GPS) metrics. WetBulb Globe Temperature (WBGT) was continuously recorded throughout each training session as well as participant total fluid consumption. Results: TL-RPE, Δbody mass (ΔBM), ΔWBGT and maximum HR (maxHR) explained approximately 53% of the variance in intensity (r=0.73, F4,82=23.506, P0.05) impact on intensity. Conclusion: The changes in exercise intensity observed were most associated with the perceived training load, body mass loss, heat indices, and maximum heart rate. These variables should be controlled to elicit the desired training outcome while keeping player safety at the forefront during preseason soccer.

In the long-term performance development of rhythmic gymnasts aged 16–17, athletes enter a high-performance training phase, marked by increased training loads and preparation for international competitions. This study aimed to (1) provide an overview of methods used to capture external and internal training/competition loads in elite rhythmic gymnasts, and (2) identify measurements of external and internal training/competition loads and their responses during monitored periods. Conducted according to PRISMA guidelines, the systematic review included 6 studies out of the 815 initially identified. The most common methods for calculating external training load were hours or minutes per week. Internal measures varied and included objective methods such as heart rate monitoring and biochemical, hormonal, and hematological assessments from saliva and blood samples. Among subjective methods, session-RPE was most frequently used, along with other questionnaires examining recovery, well-being, sleep, and competition anxiety. The analyzed studies integrated diverse external and internal training load variables, delving into their impact on athlete's biochemical parameters, recovery, and well-being. Pre-competitive and competitive training periods were the focal points of measuring loads. The complex training structure of rhythmic gymnastics can complicate the calculation of training loads. Therefore, more studies are needed to explore the dose-response relationships between training load and training adaptations, fatigue, and recovery. [ABSTRACT FROM AUTHOR]

The present work analyzes the weekly load fluctuation, internal and external, throughout a season in a professional basketball team. To analyze the internal load factor, the session Rate of Perceived Exertion (sRPE) has been used, and the Integral Analysis System of Training Tasks (SIATE) has been used to monitor the external load. This is the first work that analyzes the complementary use of these two low-cost load monitoring tools. Firstly, the scores distribution obtained in both tests has been characterized. Secondly, an important and positive correlation was found since the association between the scores in sRPE and SIATE shows to increase together. Finally, we compared the scores of the study groups corresponding to the weeks without match (0-g), with one match (1-g) and with two matches (2-g) in each of the variables. Regarding sRPE, differences have been found between 0-g and 2-g, and between 1-g and 2-g. Furthermore, we observed differences in SIATE between 0-g and 1-g, 1-g and 2-g, and between 0-g and 2-g. Taken altogether, our study suggests that the complementary use of sRPE and SIATE is an effective and methodical system of monitoring training. [ABSTRACT FROM AUTHOR]

Purpose. This study aimed to compare internal load (IL) and external load (EL) variables between blocks of a game-based Rugby Sevens training session. Methods. A descriptive cross-sectional study design was employed. Twenty-eight professional athletes from the first division of the Brazilian national championship were monitored during a game-based training session, which consisted of varying durations of ball-in-play blocks. The training session comprised 4 blocks of 1 min, 2 blocks of 2 min, and 1 block of 3 min of ball-in-play, with 1-min intervals between blocks of the same duration and 2-min intervals between blocks of different durations. Results. A reduction in EL was reported during longer bouts of ball-in-play. Specifically, a reduction was observed when comparing block 5 to block 1 (p = 0.021) and when comparing block 7 with blocks 1, 2, 3, 4, and 6 for distance per min. For accelerations and decelerations, blocks 5, 6, and 7 showed lower values than block 1 (p = 0.001 and p = 0.005, respectively). Block 4 showed an increase in rate of perceived exertion (RPE) values compared to blocks 1 (p = 0.010) and 2 (p = 0.004). Increased RPE values were also found in block 5 compared to block 1 (p = 0.001), as well as compared to blocks 2 (p = 0.001) and 3 (p = 0.002). RPE in block 7 was higher than in blocks 1, 2, 3, and 4 (p = 0.001). Conclusions. In summary, higher RPE values were reported across blocks, and IL appeared to be more volume-dependent. [ABSTRACT FROM AUTHOR]

Featured Application: Monitoring salivary biomarkers demonstrates a potential application to assess the internal training load and recovery status of elite futsal players during congested competition periods, especially total protein and salivary immunoglobulin A. Tracking biomarker changes provides a practical tool for coaching staff to guide adjustments to training loads, nutrition, and recovery protocols to mitigate risks and optimize athlete performance and health. A congested match and training schedule could alter internal load, and this could be reflected in biomarkers of stress and immunity in elite futsal players. The aim of this study was to analyze the effects of a congested match and training schedule on internal load and levels of total protein, total oxidant status (TOS), total antioxidant capacity (TAC), oxidative stress index, and the concentrations of salivary immunoglobulin A (SIgA) in 17 professional players from the same Portuguese elite futsal club (age: 23.07 ± 6.76 years old; height: 1.75 ± 0.06 m; body mass: 75.47 ± 7.47 kg; experience in playing in elite: 5.38 ± 2.03 years) who performed 5 matches and 16 training sessions in a period of 27 days. The salivary content of total protein, TOS, TAC, oxidative stress index, and SIgA were calculated before and after the training sessions and the unofficial matches under study. Saliva sampling was conducted 10 min before each match or training session and 40 min after (post-match and post-training). The MANOVA of repeated measures showed a significant difference for total protein and SIgA (p < 0.01). Total protein (sphericity = 0.007; statistical power = 0.818) and SIgA (sphericity = 0.018; statistical power = 0.693) are highly correlated with the time factor. The main findings revealed several key points: (a) There was a significant increase in total protein, SIgA, and TAC during acute load (pre- vs. post-session) in both training and match contexts. Specifically, total protein and SIgA displayed notable increments in both training and match settings, while TAC exhibited significant increases exclusively during matches. (b) No changes in TOS and oxidative stress index were observed during acute load in either training or match contexts. (c) A positive trend was noted between the chronic load during a congested week of the precompetitive season and the decrease in total protein and SIgA levels. (d) Additionally, a positive correlation between internal training loads and oxidative/antioxidant responses was found, as expressed by the oxidative stress index, without significant differences (p-value > 0.05) in acute and chronic loads during congested matches and training schedules. [ABSTRACT FROM AUTHOR]

We assessed the accuracy and inter-sessional reliability of traditional (manual) compared to automatic (AutoHR) heart rate (HR) clamping methods during submaximal intensity continuous cycling. On separate occasions, thirteen males cycled at an HR corresponding to 80% of the ventilatory threshold for 18 min. Cycling power output was adjusted using either manual or AutoHR methods, encompassing three trials per method. For the manual method, cycling power output was adjusted every 30 s by 0, 5 or 10 W at the experimenter's discretion. Conversely, AutoHR automatically adjusted power output based on the difference between target and actual HR. Participants' HR was measured at 1 Hz. Root-mean square error (RMSE) and intraclass correlation coefficients (ICC) were calculated from the difference between measured and target HR to represent accuracy and reliability of each method. The RMSE for the manual method (3.2 ± 2.6 bpm) was significantly higher compared to AutoHR (2.8 ± 2.3 bpm) (p < 0.01, r = 0.13); inter-day ICC were 0.92 and 0.89 for manual adjustment and AutoHR, respectively. Automatic methods to clamp HR are more accurate than manual approaches during submaximal intensity continuous cycling and can be easily implemented for uniform HR control in individual and group training sessions at minimal cost. [ABSTRACT FROM AUTHOR]

The aim of this study is to compare the movement characteristics and heart rate (HR) response of hearing-impaired futsal players based on their playing positions during a simulated game. The study involved twelve players from the Turkish Deaf Men's Futsal National Team, and PlayerLoad (PL) metrics such as total PL (PLTOTAL), PL per minute (PL·min⁻ ¹), peak PL (PLPEAK), low to very high PL bands (PLLOW-PLVHIGH), and external load variables such as acceleration (ACC), deceleration (DEC), explosive efforts (EXPEFF), and right/left change of direction (COD-R, COD-L), were analyzed using inertial movement analysis (IMA). Additionally, the internal load metrics, including minimum, average, and maximum HR (HRMIN, HRAVE, HRMAX), percentage of HRMAX (%HRMAX) and percentage of time spent in different HR zones (HRZONE1 to HRZONE4) were continuously monitored. IMA variables and HR metrics, based on playing position, were analysed with the Kruskal-Wallis H test. Group comparisons were conducted using the Mann-Whitney U test, and Bonferroni correction was applied. As a result, PL variables change with notable distinctions between defenders and wingers. Additionally, the PLVHIGH stands out as the only significant difference when comparing wingers and pivots. Wingers generally exhibit different external load, including ACC and COD-L, compared to defenders. Additionally, differences were observed in COD-L between pivots and defenders, as well as in COD-R between pivots and wingers. In conclusion, external and internal load metrics during the simulated game vary depending on the players’ positions in hearing-impaired futsal players, highlighting the importance for coaches to consider this diversity in their athlete monitoring approaches. [ABSTRACT FROM AUTHOR]

Objetivo: O objetivo desta revisão sistemática foi analisar estudos que investigaram marcadores bioquímicos séricos utilizados para mensurar carga interna em partidas de futebol. Método: A revisão seguiu as recomendações propostas para revisões sistemáticas PRISMA. A revisão da literatura foi realizada até maio de 2023. Foram pesquisadas as bases de dados SPORTDiscus, Scopus, MedLine (via PubMed), Lilacs (via BVS) e Web of Science para encontrar estudos que analisam biomarcadores após partidas de futebol com atletas profissionais do sexo masculino, onde o. foram extraídos os seguintes dados: autor/ano, tamanho da amostra, nível competitivo, características da amostra, exposição, biomarcadores analisados ​​e resultados. A qualidade metodológica foi avaliada pela ferramenta Critical Skills Assessment Program (CASP). Resultados: Quinze artigos de um total de 1.402 identificados na busca foram incluídos na revisão. Esses artigos foram publicados entre 2008 e 2022 e envolveram uma amostra total de 287 atletas de futebol de nível regional, nacional e internacional. Em relação às análises bioquímicas, foram estudados 50 biomarcadores diferentes, dentre os quais a creatina quinase foi o biomarcador mais utilizado nos estudos, juntamente com a lactato desidrogenase e a aspartato aminotransferase. Conclusão: Os resultados indicam que os jogos de futebol impactam diversos biomarcadores, incluindo aqueles relacionados ao dano muscular, resposta hematológica, variações hormonais, função imunológica e estresse oxidativo. A creatina quinase foi o biomarcador mais utilizado devido à sua maior associação com a carga imposta pelo jogo para avaliar o dano muscular. Palavras-chave: futebol; marcadores biológicos; marcadores de carregamento; rastreamento de jogadores; inflamação

Heart rate (HR) is the most frequently used variable to monitor athletes’ internal load during training and competition. High-intensity effort and abrupt HR changes during exercise have presented measurement accuracy issues depending on the chosen device. Therefore, this study aimed to compare two chest straps (Garmin HRM-Dual and Coospo H6) and one armband (Coospo HW807) during intermittent exercise under controlled laboratory conditions. Thirty active young men performed an indoor cycling protocol consisting of seven intermittent efforts with a 2 min effort stage followed by a 2 min recovery stage. The results show no difference between the chest straps (Garmin vs. Coospo), with a high level of agreement between the two devices (Bias = −0.2 bpm, LoAup = +2.5 bpm, LoAlow = −2.9 bpm, ICC = 0.6–1.0). Differences were found between the chest straps and the armband during effort stages (±5 bpm, p < 0.05), with similar bias and LoA values in the Garmin Strap vs. Coospo Armband (Bias = −0.5 bpm, LoAup = 8.3 bpm, LoAlow = −9.3 bpm) and Coospo Strap vs. Coospo Armband (Bias = −0.4 bpm, LoAup = 8.3 bpm, LoAlow = −9.0 bpm) comparison. Chest straps (Garmin HRM-Dual and Coospo H6) accurately measure HR during intermittent exercise with abrupt HR changes. However, caution should be taken when using armbands (Coospo HW807) to monitor intermittent and high-intensity effort.

The purpose of this study was to compare the internal and external load in continuous and intermittent small-sided games (SSG) formats. Eight semi-professional soccer players participated in the study, and they completed three protocols: (a) I-intermittent SSG protocol (Int-I, 4 sets of 4 min with a 3 min recovery); (b) Continuous SSG protocol (Con, 2 sets of 8 min with a 3 min recovery); (c) II-SSG protocol (Int-II, 4 sets of 4 min, where each set includes 1 min of exercise with varying recovery periods (10, 20, 30 s), with a 3 min recovery period between sets). A one-way analysis of variance (ANOVA) was used to analyze the dependent variables, with significance determined at p < 0.05. The three protocols differed in total distance covered and in distance covered at speeds >19 km/h, with the Int-II protocol resulting in the greatest distance covered (p < 0.05). Additionally, players in the Con protocol exercised at a higher percentage of their maximum heart rate (%HRmax) (p < 0.05), while the highest RPE value was observed in the Int-I interval protocol (p < 0.05). The external load experienced by players in intermittent SSG protocols is higher, while internal load (%HRmax) remains relatively low. This effect is especially notable in the new intermittent exercise model proposed in this study, which incorporates progressively increasing recovery times within each exercise set. Coaches can use this model to increase players’ external load without causing a heightened perception of fatigue.

External (EL) and internal (IL) load are commonly used methods used to quantify training load in team sports. Playing time and playing position may influence the training loads for specific athletes throughout a season. The purpose of the current study was to evaluate the effect of athlete playing status and individual in-season practices on EL and IL across a collegiate women’s basketball season. Female basketball athletes were classified as high-minute (HMA; ≥15 min/game) or low-minute (LMA; p < 0.001). A location-scale model indicated that the within-person variability of IL across all athletes was 3.29 AU but was not due to athlete playing status. It is recommended to base in-season training on individual loads and game demands to promote athlete readiness and improved sport performance.

Purpose: To compare the race demands of junior (JUN), under 23 (U23), and professional (PRO) road cyclists. Methods: Thirty male cyclists, divided into 3 age-related categories (JUN, n = 10; U23, n = 10; and PRO, n = 10), participated in this study. Race data collected during the 2019 competitive season were retrospectively analyzed for race characteristics, external, and internal competition load. Results: Higher annual and per race duration, distance, elevation gain, Edward's training impulse, total work, and work per hour were observed in PRO versus U23 and JUN, and U23 versus JUN (P <.01). PRO and U23 recorded higher mean maximal power (RPOs) between 5 and 180 minutes compared with JUN (P <.01). Edward's training impulse per hour was higher in JUN than PRO and U23 (P <.01). Accordingly, JUN spent a higher percentage of racing time in high internal intensity zones compared with U23 and PRO, while these 2 categories spent more time at low internal intensity zones (P <.01). Conclusions: JUN races were shorter and included less elevation gain per distance unit compared to U23 and PRO races, but more internally demanding. JUN produced less power output in the moderate-, heavy-, and severe-intensity exercise domains compared with U23 and PRO (RPOs: 5–180 min). U23 and PRO races presented similar work demands per hour and RPOs, but PRO races were longer than U23. [ABSTRACT FROM AUTHOR]

Literature is scarce related to the evaluation of internal and external load demands in simulated amputee football. This study aimed to quantify internal and external load demands on players during amputee football matches (n=22). Heart rate (HR), blood lactate ([BLa-]), and ratings of perceived exertion (RPE) were analyzed as internal load. Total distance covered (TD), TD at five speed categories (SC), percentages of TD at five SC, time spent in four HR zones and peak speed were considered external load. The results revealed that mean RPE and [BLa-] were 10.59±2.93 and 5.36±2.93 mmol.L-1, respectively, and were similar between the first and the second half (p>0.05). Mean HR was 145.5±12.5 bpm and mean HR was higher in the first half compared to the second half (p=0.049). Amputee football players covered 2445.40±416.36 m in matches and the mean TD in the second half was lower than the first half (p=0.000). TD at very low speed category corresponded to ~73 % efforts. Low, moderate, high, and very high efforts corresponded to ~27 % of the TD. Amputee football players spent ~46 min at moderate and high intensity HR zones while these corresponded only about ~4 min at very low and low intensity HR zones during amputee football matches. This study concludes that match demands are high during amputee football matches. Internal and external load parameters have a great importance in the design of amputee football specific training protocols to enhance physical capacity, minimize injury risk and improve well-being. [ABSTRACT FROM AUTHOR]

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We investigated whether a single heart rate clamped cycling session under systemic hypoxia affects the recovery of physical and psycho-physiological responses from residual fatigue compared to normoxia. On separate occasions, twelve trained males performed a 3-d acute training camp scenario. On days 1 and 3, participants cycled for 60 min at a constant heart rate (80% of ventilatory threshold). On day 2, fatigue was induced through a simulated team game circuit (STGC), followed by a 60-min intervention of either: (1) heart rate clamped cycling in normoxia; (2) heart rate clamped cycling in hypoxia (simulated altitude ~ 3500 m); or (3) no cycling. Countermovement jump height and leg stiffness were assessed before and after every session. Perceptual fatigue was evaluated daily. Compared to baseline, jump height decreased at all timepoints following the STGC (all p < 0.05). Leg stiffness and cycling power output only decreased immediately following the STGC, with a 48% further decrease in cycling power output in hypoxia compared to normoxia (p < 0.05). Perceived fatigue, decreased sleep quality, and increased muscle soreness responses occurred on day 3 (p < 0.05). A single heart rate-clamped cycling session in hypoxia reduced mechanical output without affecting recovery of physical performance and perceptual measures from residual fatigue induced through team sport activity. [ABSTRACT FROM AUTHOR]

Monitoring the muscle mechanical properties and functions of female athletes throughout their training season is relevant to understand the relationships between these factors and to predict noncontact injuries, which are prevalent among female athletes. The first aim of this study was to determine whether female handball players' passive stiffness of the hamstring muscles is associated with hamstring extensibility, strength of knee flexors and extensors, and lower limb stiffness. Additionally, the study monitored fluctuations in these factors over 25 weeks. The study utilized an isokinetic dynamometer to record hamstring passive stiffness, extensibility, and hamstring and quadriceps strength of 18 young handball players. Lower limb stiffness was determined from a countermovement vertical jump conducted on a force plate. The countermovement jump involved the calculation of the peak force during the eccentric phase and the mean force during the concentric phase. The results showed a positive correlation between hamstring passive stiffness and lower limb stiffness (r = 0.660, p < 0.01), knee flexion and extension strength (r = 0.592, p < 0.01 and r = 0.497, p < 0.05, respectively), and eccentric peak force (r = 0.587, p < 0.01) during jumping. The strength of knee extensors increased significantly after 6 weeks, and hamstring stiffness after 12 weeks of training. In conclusion, the increased hamstring stiffness following training did not match other factors associated with injury risk. Therefore, preventing multifactorial injury risk requires a comprehensive approach, and monitoring one factor alone is insufficient to predict noncontact injuries in female handball players. [ABSTRACT FROM AUTHOR]

Technological development has boosted the use of multi-sensor devices to monitor athletes' performance, but the location and connectivity between devices have been shown to affect data reliability. This preliminary study aimed to determine whether the placement of a multi-sensor device (WIMU PROTM) could affect the heart rate signal reception (GARMINTM chest strap) and, therefore, data accuracy. Thirty-two physical education students (20 men and 12 women) performed 20 min of exercise in a cycle ergometer based on the warm-up of the Function Threshold Power 20 test in laboratory conditions, carrying two WIMU PROTM devices (Back: inter-scapula; Bicycle: bicycle's handlebar—20 cm from the chest) and two GARMINTM chest straps. A one-dimensional statistical parametric mapping test found full agreement between the two situations (inter-scapula vs. bicycle's handlebar). Excellent intra-class correlation values were obtained during the warm-up (ICC = 0.99, [1.00–1.00], p < 0.001), the time trial test (ICC = 0.99, [1.00–1.00], p < 0.001) and the cool-down (ICC = 0.99, [1.00–1.00], p < 0.001). The Bland–Altman plots confirmed the total agreement with a bias value of 0.00 ± 0.1 bpm. The interscapular back placement of the WIMU PROTM device does not affect heart rate measurement accuracy with a GARMINTM chest strap during cycling exercise in laboratory conditions. [ABSTRACT FROM AUTHOR]

Featured Application: The results obtained in this research are highly novel, as no previous studies have analyzed the external and internal loads of basketball referees based on the game or game quarter during elite games, such as those played in the analyzed tournament. However, this study has limitations that should be considered when interpreting the results. Firstly, although the entire sample of the preparatory tournament was recorded, the number of participants is small. Secondly, the equipment used (anatomical harness, WIMUPRO inertial devices, eight-antenna radiofrequency system, heart-rate monitor...) is costly, which limits the availability of previous studies for data comparison. Monitoring the demands on basketball referees is essential for optimizing their performance and reducing the risk of injuries. This study aimed to analyze the workload experienced by elite basketball referees during official games. Using a quasi-experimental empirical methodology, inertial devices (WIMUPRO) were used for four referees participating in the official tournament of the Spanish first-division basketball league. All the matches in the tournament were analyzed. Descriptive analysis and ANOVA were used to understand the referees' demands. Moreover, a Mixed Linear Model was used to take into account the individuality of each referee in the analysis of the variables. The results indicate that the analyzed external and internal load variables are specific to each basketball referee. The variability in referees' external and internal load demands was identified as low to moderate within performances, between matches, and between quarters. The external and internal load variables did not vary among the three analyzed games. The distance covered during the first quarter of the games was less than in the rest of the quarters, but it was performed at a higher intensity. Neuromuscular load (analyzed as Impacts, Player Load, and Power Metabolic) showed higher values in the first quarter of the games than in the rest. The referees' response to competition is individual and can be influenced by situational variables such as the moment or type of game. [ABSTRACT FROM AUTHOR]

This research aimed to analyse the pitch size manipulation effect on internal and external load and to study the age effect on the studied variables in different small-sided games (SSGs) formats. Male U-12 (n = 8), U-15 (n = 8) youth football players, and U-23 (n = 8) professional cohorts participated in the study. Two SSGs formats were analyzed, goalkeeper (GK) + 4 vs. 4 + GK, 3 minutes play in 20 × 30 m and 24 × 36 m, with 3 minutes rest between bouts. The variance analysis Anova two-way was used to analyse two independent factors, pitch size, and age group. The playing area manipulation had an effect under the following variables: distance (p < 0.001), speed 0–6 km/h (p < 0.001), speed 12–18 km/h (p < 0.001), speed 18–21 km/h (p < 0.001), accelerations (Ac.) 1–2 m/s2 (p < 0.001), decelerations (Dc.) 2–3 m/s2 (p < 0.001), metabolic power (Pmet) (p < 0.001) and high metabolic load distance (HMLD) (p < 0.001). The age group influenced the distance covered (p < 0.001), speed 0–6 km/h (p < 0.001), speed 6–12 km/h (p < 0.001), speed 12–18 km/h (p < 0.001), speed 21–24 km/h (p = 0.030), Ac. 1–2 m/s2 (p < 0.001), Ac. 1–2 m/s2 (p < 0.001Pmet (p < 0.001), HMLD (p < 0.001) and training impulse (TRIMP) (p < 0.001). Playing area manipulation in football SSGs promotes an increase in external load intensity, namely, larger areas are suitable for larger effects at high speeds (>21 km/h) and TRIMP. A careful and detailed evaluation of training tasks, considering the different age category football players, is important to optimize the planning in football, aiming at improving players’ condition and performance and avoiding health problems and injuries.

Purpose: To evaluate the effect of the number of high-acceleration movements on muscle damage and the rating of perceived exertion (RPE) in basketball games. Methods: Twenty-one male collegiate basketball players (mean age, 20.0 [1.0] y) were included. A triaxial accelerometer was used to measure acceleration in basketball-simulated scrimmages. To detect higher physical load during the actual game, the resultant acceleration was calculated, and 3 thresholds were set: >4G, >6G, and >8G resultant accelerations. The number of the extracted movements was calculated at each acceleration threshold. Plasma creatine kinase (CK) levels (marker of muscle damage) were estimated before and 24 hours after the match, and the session-RPE load was calculated within 30 minutes after the match. Pearson product-moment correlations with 95% confidence intervals were used to determine the relationships between the number of high-acceleration movements and plasma CK and session-RPE load. Results: Significant correlations were observed between the number of high-acceleration movements >8G and CK level (r =.74; 95% confidence interval, 0.44–0.89; P <.0001). Furthermore, the correlation coefficient between acceleration and CK increased with increased acceleration threshold (>4G: r =.65; >6G: r =.69). Contrastingly, the correlation coefficient between acceleration and the session-RPE load decreased with increased acceleration threshold (>4G: r =.72; >6G: r =.52; >8G: r =.43). Conclusions: The session-RPE reflects the total amount of movement, while the high-acceleration movement reflects the momentary large impact load or intensity, and they evaluated different factors. Basketball coaching and conditioning professionals recommended combining acceleration and session-RPE when monitoring the load of athletes. [ABSTRACT FROM AUTHOR]

Perceived exertion (RPE, RPEdur) and wellness scores (Hooper) are common methods to assess the training load and readiness in football. However, in professional football, there is a lack of data concerning the application of these tools in microcycles of different durations. Therefore, the purpose of this study was to explore the correlations between (a) RPE, RPEdur, and weekly external load (EXLD) and (b) Hooper and EXLD within microcycles of different durations. Independent of the microcycle’s length, RPE and RPEdur correlated with the EXLD. In MIC5, RPE and RPEdur correlated with the EXLD, except for accelerations > 3 m/s2 (ACh) and distance > 25.5 km/h (SPvh). In MIC6, RPE and RPEdur correlated with the EXLD, except Ach (with RPE). In MIC7 and MIC9, RPE and RPEdur correlated with the EXLD, except RPE with ACh. For Hooper variables, independent of the microcycle duration, SRN and FTG had more correlations in comparison to SLP; the same finding was observed in MIC7 and MIC9, but SRN and SLP in MIC5 and MIC6, respectively, had no correlations. Multiple regression analysis showed that for RPE, the main predictors are total distance (TD), metabolic power distance > 50 w/kg (PWvh), and ACh, which can explain 31% of the variance, but for RPEdur, 58% can be explained by DUR, TD, and PWvh. For SLP, the predictors FTG and SRN can explain a very small percentile of the variance (1%, 4%, and 6%, respectively). The main findings were the multiple correlations between RPE, RPEdur, Hooper, and microcycles of different durations; most of them were found for long durations. This tendency is similar to that described in the literature for microcycles of the same duration. (a) EXLD has a stronger correlation with RPEdur than with RPE, and (b) FTG and SRN are the best predictors of the EXLD during the upcoming training session. It is recommended that fitness coaches use these tools to assess and forecast the training load; thus, they will be able to prepare more effective sessions during microcycles of different durations.

The purpose of this study was two-fold: (i) to analyze the relationship between motor competence (i.e., a person’s ability to be proficient in different gross motor skills) and the rating of perceived exertion (RPE), which represents the physiological and psychological responses during training, in young adults, and (ii) to compare RPE between participants with high and low motor competence. Forty-eight male young adults (22.01 ± 2.43 years) participated in this study. Participants were randomly divided into several teams of three players to perform a small-sided game for 25 min (Goalkeeper + 2 × 2 + Goalkeeper) in which the RPE was collected. Then, motor competence was assessed through six tests assessing three main components: stability (Jumping Sideways and Shifting Platforms); locomotor (Standing Long Jump and Shuttle Run), and manipulative (Velocity of Ball Kicking and Throwing). Motor competence was negatively associated with RPE (r = −0.64; p < 0.001). Moreover, locomotor, stability, and manipulative components were negatively associated with RPE (all, p < 0.05). Furthermore, upon comparing groups with low and high levels of motor competence, we observed significantly higher RPE values (p < 0.001; d = 0.32) in the low motor competence group. The findings from this study suggest that individuals with higher levels of motor competence may report a lower RPE during exercise. This information is valuable for coaches as improving levels of motor competence may potentially lead to increases in on-field performance.

Professional soccer involves varying numbers of training sessions and matches each week, which can influence load distribution. Understanding the exact distribution may allow appropriate load periodisation and planning for players. Thus, this study aimed to (i) compare accumulated load and wellness between weeks with different numbers of training sessions and (ii) compare training/match ratio (TMr) of external and internal load between weeks with different numbers of training sessions. Ten players with a minimum of 45 minutes of weekly match-play were analysed over 16 weeks. The microcycle structures consisted of three (3dW), four (4dW), five (5dW) and six (6dW) training sessions plus match-day per week. The following measures were used for analysis: duration, fatigue, quality of sleep, muscle soreness, stress, mood, rating of perceived exertion (RPE), session-RPE (s-RPE), high-speed running distance (HSR), sprint distance (SPD), number of accelerations (ACC) and decelerations (DEC). Accumulated wellness/load were calculated by adding all training and match sessions, while TMr was calculated by dividing accumulated load by match data. The main results showed that accumulated wellness and load were significantly different, with moderate to very large effect sizes, except regarding mood, duration, s-RPE, SPD during 5dW vs. 6dW and s-RPE, HSR, SPD, ACC and DEC during 3dW vs. 4dW (all p > 0.05). Moreover, 6dW was significantly higher than 4dW regarding TMr of duration (p < 0.05, moderate effect size), RPE, HSR and SPD (all p < 0.05 with very large effect sizes) and for 3dW of HSR and ACC (p < 0.05 with very large effect sizes). This study showed that 5dW and 6dW had higher training measures than 3dW or 4dW. Additionally, higher wellness was presented in the microcycles with higher training frequencies. These findings suggest that physical load and wellness were not adjusted according to the number of training sessions within a microcycle.

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Sansone, P, Rago, V, Kellmann, M, and Alcaraz, PE. Relationship between athlete-reported outcome measures and subsequent match performance in teamsports: A systematic review. J Strength Cond Res 37(11): 2302-2313, 2023--Athlete-reported outcome measures (AROMs; e.g., fatigue, stress, readiness, recovery, and sleep quality) are commonly implemented in team sports to monitor the athlete status. However, the relationship between AROMs and match performance indicators is unclear and warrants further investigation. This systematic review examined the relationship between precompetitive AROMs and subsequent match performances of team sport athletes. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 3 (PubMed, Scopus, and Web of Science) databases were systematically searched to retrieve studies investigating the effects or association of AROMs and match: (a) technical-tactical performance (match-related statistics), (b) physical performance, (c) physiological and (d) perceptual demands, and (e) other measures of performance in adult team sport athletes. Quality assessment of included studies was performed using a modified Black and Downs checklist. Fifteen articles representing 289 team sport athletes were included. Mean quality of included studies was 7.661.0 (of 11). Across the included studies, 22 AROMs parameters were used, and 16 different statistical approaches were identified. Approximately 11 of 15 studies used nonvalidated AROMs. Overall, associations or effects of AROMs were found consistently for match-related statistics (7/9 studies), whereas results were unclear for physical performances (3/7 studies), perceptual demands (1/2 studies), or other measures of performance (2/4 studies). Considering the importance of keymatch-related statistics for success in teamsports, this reviewsuggests thatmonitoring precompetitive AROMs has potential to provide valuable information to coaches. However, it is indispensable to validate AROMs questionnaires and to uniform data collection and statistical procedures before substantiated indications to practitioners can be made. [ABSTRACT FROM AUTHOR]

To investigate the acute effects of graded hypoxia on external and internal loads during 60 min of endurance cycling at a clamped heart rate. Repeated measures. On separate visits, 16 trained males cycled for 60 min at a clamped heart rate corresponding to 80 % of their first ventilatory threshold at sea-level and 2500 m, 3000 m, 3500 m and 4000 m simulated altitudes (inspired oxygen fractions of 20.9 %, 15.4 %, 14.5 %, 13.6 % and 12.7 %, respectively). Markers of external (power output) and internal (blood lactate concentration, tissue saturation index, cardio-respiratory and perceptual responses) loads were measured every 15 min during cycling. Neuromuscular function of knee extensors was characterised pre- and post-exercise. Compared to sea-level (101 ± 22 W), there was a stepwise reduction in power output with increasing hypoxia severity (− 17.9 ± 8.9 %, − 27.1 ± 10.7 %, − 34.2 ± 12.0 % and − 44.6 ± 15.1 % at 2500 m, 3000 m, 3500 m, and 4000 m, respectively, all p < 0.05). Blood lactate and tissue saturation index were not different across hypoxia severities, and perceptual responses were exacerbated at 4000 m only, with increased breathing difficulty. Knee extensor torque decreased post-exercise (− 14.5 ± 9.0 %, p < 0.05), independent of condition. Increasing hypoxia severity reduces cycling power output and arterial oxygen saturation in a stepwise fashion without affecting exercise responses between sea-level and simulated altitudes up to 3500 m despite breathing difficulty being elevated at 4000 m. • Power output and arterial oxygen saturation decreased at every increment of simulated altitude. • All indices of internal load did not differ between sea-level and simulated altitudes ranging 2500-3500 m. • Compared to sea-level, 3500 m elicits the greatest reduction in external work (~ 34 %) without increasing breathing difficulty during heart rate clamped cycling. [ABSTRACT FROM AUTHOR]

Purpose: The objectives of the present study were (1) to analyze the internal and external load profile of training and competition carried out by semiprofessional football players during a 27-week period and (2) to examine the possible link between this type of periodization and players' fitness status and their readiness to compete. Methods: Training and match data were obtained from 26 semiprofessional football players belonging to the reserve squad of a Spanish La Liga club during the 2018/19 season. For the purpose of this study, the distribution of external and internal load during a typical training microcycle, with 6 or 7 days between matches, was analyzed. Five types of sessions were considered: strength, duration, velocity, preofficial match, and official match. Results: The results showed a different internal and external load profile for each type of session, with the load being consistently higher during matches when compared with training sessions (28.9%–94% higher), showing significant differences in all the variables. There was a clear tapering strategy in the last days of the week to arrive with enough freshness to compete, shown by the decrease of the values in the 2 days before the match (15%–83% reduction, depending on the variable). Furthermore, the horizontal alternation of the load allowed the players to maintain their fitness level during the 27-week period. Conclusions: Our findings suggest that this weekly periodization approach could help achieve a double conditional target, allowing a short tapering strategy to face the match with enough freshness and serving as a strategy for maintaining or optimizing players' physical performance during the season. [ABSTRACT FROM AUTHOR]

Purpose: Games-based drills (GBD) are the predominant form of training stimulus prescribed to male and female basketball players. Despite being readily manipulated during GBD, the impact of defensive strategy on the sex-specific demands of GBD remains unknown. Therefore, the aim of this study was to quantify and compare the heart-rate (HR) responses experienced during 5v5 GBD using different defensive strategies (man-to-man defense vs zone defense [ZD] formations) according to player sex. Method: HR was recorded in 11 professional male and 10 professional female basketball players while performing 5v5 GBD with different defensive strategies (man-to-man defense or ZD). HR-based training load was also calculated using the summated heart-rate zones model. Results: During man-to-man defense, mean HR (ηp² = .02), relative time (in percentage) spent working at 90% to 100% maximal HR (ηp² = .03), and summated heart-rate zones (ηp² = .02) were greater (P < .05) in female players compared with males. During ZD, higher (P < .01) peak HR (ηp² = .07), mean HR (ηp² = .11), relative and absolute (in minutes) time spent working at 80% to 89% maximal HR (ηp² = .03 and .03, respectively) and 90% to 100% maximal HR (ηp² = .12 and .09, respectively), and summated heart-rate zones (ηp² = .19) were observed in female players compared with males. Conclusions: The defensive strategy employed during 5v5 full-court GBD influences HR responses and training load differently according to sex, where female players experience higher HR responses than males, especially when ZD are adopted. Basketball coaching staff can use these findings for the precise manipulation of team defenses during GBD to elicit desired cardiovascular stress on players. [ABSTRACT FROM AUTHOR]