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Featured Application: The aim of this study was to compare the anthropometric and physical characteristics of male team handball players and analyze the relationships between these parameters and playing positions. Because the test results reflect the unique qualities of individual handball playing positions, the results may be helpful for handball coaches and fitness trainers. In addition, they open the door to potential benefits in long-term athletic development as a route that might enhance conditioning routines and physical training programs in team handball players. This study sought to investigate the anthropometric traits and physical capabilities of team handball players, categorized based on their playing positions. A total of 50 male players (age: 27.4 ± 4.2 years; body mass: 92.8 ± 14.2 kg; height: 1.87 ± 0.08 m; body mass index (BMI): 26.3 ± 3.3 kg/m2) were categorized as Backs (12), Wings (14), Pivots (14), and Goalkeepers (10). The measurements included squat jumps (SJs), countermovement jumps (CMJs), sprint timings over 15 and 30 m, upper and lower limb muscle volume, change-of-direction T-Half test performance, and Yo-Yo intermittent recovery test performance. Depending on the position, the largest differences were detected for 30 m sprint (ηp2 = 0.72), 15 m sprint (ηp2 = 0.71), T-Half test (ηp2 = 0.41), half squat (ηp2 = 0.35), and bicipital skinfold of a throwing arm (ηp2 = 0.34). Bicipital skinfold showed the highest number (three) of relevant (r > 0.5) relationships, especially in sprinting (sprint 15 m: r = 0.528; sprint 30 m: r = 0.503) and change-of-direction ability (T-Half test: r = 0.518). Differences in physical performance and body type according to playing positions emphasize the value of goalkeeper-specific training and scouting for handball players, with a particular emphasis on both. This information might be helpful for optimizing position-specific training regimes. [ABSTRACT FROM AUTHOR]

This study sought to investigate the anthropometric traits and physical capabilities of team handball players, categorized based on their playing positions. A total of 50 male players (age: 27.4 ± 4.2 years; body mass: 92.8 ± 14.2 kg; height: 1.87 ± 0.08 m; body mass index (BMI): 26.3 ± 3.3 kg/m2) were categorized as Backs (12), Wings (14), Pivots (14), and Goalkeepers (10). The measurements included squat jumps (SJs), countermovement jumps (CMJs), sprint timings over 15 and 30 m, upper and lower limb muscle volume, change-of-direction T-Half test performance, and Yo-Yo intermittent recovery test performance. Depending on the position, the largest differences were detected for 30 m sprint (ηp2 = 0.72), 15 m sprint (ηp2 = 0.71), T-Half test (ηp2 = 0.41), half squat (ηp2 = 0.35), and bicipital skinfold of a throwing arm (ηp2 = 0.34). Bicipital skinfold showed the highest number (three) of relevant (r > 0.5) relationships, especially in sprinting (sprint 15 m: r = 0.528; sprint 30 m: r = 0.503) and change-of-direction ability (T-Half test: r = 0.518). Differences in physical performance and body type according to playing positions emphasize the value of goalkeeper-specific training and scouting for handball players, with a particular emphasis on both. This information might be helpful for optimizing position-specific training regimes.

Featured Application: In professional sports, the degree of postural control depends on the sport's specific demands necessary to be successful. The present study compared different male sports athletes (ice hockey, soccer, diving) using posturography under four conditions. Significant differences were observed between soccer players and divers regarding postural stability and medio-lateral weight distribution, especially under reduced somatosensory conditions. These findings provide coaches and athletes with more evidence to identify deficits in posture stability and regulation as a potential risk of injury and decreased performance. The purpose of this study was to assess the postural control of 50 male athletes (age: 24.9 ± 4.55 years) who participate in different elite-level competitive sports. Athletes from two team sports from the third German league (ice hockey: n = 16; soccer: n = 23), and one individual sports (diving: n = 11) were included. These athletes were investigated using posturography under different conditions (e.g., stable surface, unstable surface; eyes open, eyes closed) to determine postural stability and regulation. Most of the performance maxima were found among the divers (6), followed by ice hockey (5) and soccer (4). The biggest effect of sport was found in the stability indicator, where the subject was standing on a stable surface and their eyes were closed (NC; p = 0.001, ηp2 = 0.273). This significance was observed between the soccer (17.3 ± 5.66) and diving (24.9 ± 6.98) subjects. The stability indicator had the largest significant effect (50%, 2/4). These results provide coaches and athletes insight into the postural stability and regulation of male athletes in sports with different demands on postural control. Especially for soccer players, it may be beneficial to address muscular imbalances to reduce the risk of lower extremity injuries. [ABSTRACT FROM AUTHOR]

This study examined the differences in the level of physical fitness and academic performance among male middle-school children based on different body status categories. A total of 69 male children [age: 12.4 ± 0.7 years; body mass: 58.5 ± 7.2 kg; height: 1.62 ± 0.09 m; and body mass index (BMI): 22.4 ± 3.3 kg/m2] participated and were divided into BMI age-adjusted groups (i.e., lowest, middle, and highest BMI). Height, mass, BMI, stork test of static balance, 10 and 15 m sprint as an indicator for speed, hand-grip strength test, agility T-half test, medicine ball throw (MBT), and the Yo-Yo Intermittent Recovery Test level 1 (Yo-Yo IR1) were assessed. School records were retrieved for grade point averages (GPA) of mathematics, science, and Arabic. We found significant group differences regarding anthropometric (height: η p 2 = 0.24, mass: η p 2 = 0.33, and BMI: η p 2 = 0.66), physical (sprint 10 m: η p 2 = 0.26), and academic (mathematics: η p 2 = 0.19 and science: η p 2 = 0.15) performance parameters. The largest difference (p < 0.001) was observed between the lowest and highest group for the 10 m sprint. All pairwise differences were between the lowest and highest BMI group or the lowest and middle BMI group. No relevant (r > 0.5) correlation between parameters of different dimensions (e.g., anthropometric vs. physical performance parameters) was found. In conclusion, the highest BMI group exhibited similar physical and academic performances than the lowest group. Thus, these data emphasize the importance and appropriateness to engage young Qatari schoolchildren in physical activity as it associates with superior academic performance. [ABSTRACT FROM AUTHOR]

This study examined the differences in the level of physical fitness and academic performance among male middle-school children based on different body status categories. A total of 69 male children [age: 12.4 ± 0.7 years; body mass: 58.5 ± 7.2 kg; height: 1.62 ± 0.09 m; and body mass index (BMI): 22.4 ± 3.3 kg/m2] participated and were divided into BMI age-adjusted groups (i.e., lowest, middle, and highest BMI). Height, mass, BMI, stork test of static balance, 10 and 15 m sprint as an indicator for speed, hand-grip strength test, agility T-half test, medicine ball throw (MBT), and the Yo-Yo Intermittent Recovery Test level 1 (Yo-Yo IR1) were assessed. School records were retrieved for grade point averages (GPA) of mathematics, science, and Arabic. We found significant group differences regarding anthropometric (height: ηp2 = 0.24, mass: ηp2 = 0.33, and BMI: ηp2 = 0.66), physical (sprint 10 m: ηp2 = 0.26), and academic (mathematics: ηp2 = 0.19 and science: ηp2 = 0.15) performance parameters. The largest difference (p < 0.001) was observed between the lowest and highest group for the 10 m sprint. All pairwise differences were between the lowest and highest BMI group or the lowest and middle BMI group. No relevant (r > 0.5) correlation between parameters of different dimensions (e.g., anthropometric vs. physical performance parameters) was found. In conclusion, the highest BMI group exhibited similar physical and academic performances than the lowest group. Thus, these data emphasize the importance and appropriateness to engage young Qatari schoolchildren in physical activity as it associates with superior academic performance.

The purpose of this study was to assess the postural control of 50 male athletes (age: 24.9 ± 4.55 years) who participate in different elite-level competitive sports. Athletes from two team sports from the third German league (ice hockey: n = 16; soccer: n = 23), and one individual sports (diving: n = 11) were included. These athletes were investigated using posturography under different conditions (e.g., stable surface, unstable surface; eyes open, eyes closed) to determine postural stability and regulation. Most of the performance maxima were found among the divers (6), followed by ice hockey (5) and soccer (4). The biggest effect of sport was found in the stability indicator, where the subject was standing on a stable surface and their eyes were closed (NC; p = 0.001, ηp2 = 0.273). This significance was observed between the soccer (17.3 ± 5.66) and diving (24.9 ± 6.98) subjects. The stability indicator had the largest significant effect (50%, 2/4). These results provide coaches and athletes insight into the postural stability and regulation of male athletes in sports with different demands on postural control. Especially for soccer players, it may be beneficial to address muscular imbalances to reduce the risk of lower extremity injuries.

The sports medicine performance diagnostics include investigative procedures that supply information on the performance capacity and stamina of an athlete. This creates a foundation for a personalised training plan and enables optimised control of the training process. The study population consisted of 24 male Nordic combined athletes from the national German squad. They were monitored using sports medicine over a period of five winter seasons. The test speeds on the treadmill in m/s are determined at lactate values of 2, 3 and 4 mmol/l in the peripheral blood values to calculate the lactate curve. The higher the test performance expressed as a percentage, the more likely it was that a top position could be achieved. The individual anaerobic threshold and the maximal oxygen uptake increased significantly with an increase in test performance expressed as a percentage. The older the athlete, the better they performed in the overall world cup. When age increased, the test speed [m/s] at lactate values of 2, 3 and 4 mmol/l also increased, along with the test performance expressed as a percentage, the maximal oxygen uptake and the individual anaerobic threshold. A higher BMI proved advantageous in terms of placement in the individual competitions. In this study the test speed at a lactate concentration of 4 mmol/l can be recommended as a robuster, more independent from mathematical models and physiologically more valid parameter for performance diagnostics in professional athletes. [ABSTRACT FROM AUTHOR]

Featured Application: Ice hockey is one of the fastest and most complex team sports in the world. However, the complexity of ice hockey is not adequately reflected in the performance diagnostic and the relationship between off-ice and on-ice performance is unclear. Consequently, the internal validity and the ability to predict on-ice performance for the majority of nonspecific off-ice tests is insufficient. The presented ice hockey-specific complex test (IHCT) is a reliable and valid assessment and helps to close this gap between performance diagnostic and match performance. Additionally, this investigation provides position-specific reference data for a fast and valid interpretation of the results in ice hockey practice. The aim of this study was to investigate position-specific (forwards, defenders) reference data for a scientifically evaluated (validity, reliability) ice hockey-specific complex test (IHCT). One hundred and four 3rd league professional ice hockey field players (mean ± standard deviations (SD); age: 26.4 ± 5.62 years) volunteered for the investigation. Players were categorized as forwards (n = 64) and defenders (n = 40). Data from the IHCT were collected over six seasons from three 3rd league teams. The IHCT included parameters for load (e.g., 10 m and 30 m skate times, transition and weave agility times with and without a puck, slap and wrist shots on goal) and stress (e.g., lactate, heart rate). The only significant (p < 0.002) difference between forwards and defenders for performance were found for weave agility with puck (p < 0.001). Forwards showed a higher average performance in this parameter than defenders. Differences were also found in weave agility without a puck (p = 0.008), 30 m backward sprinting without puck (p = 0.012) and goals after test (p = 0.030). This study provides position-specific reference data for a valid and reliable ice hockey-specific complex test for the 3rd league. These results may be used by coaches to judge player performance based on position (forwards vs. defenders). Moreover, coaches may use these data to evaluate the effectiveness of the most recent training period. Further research should extend this database to 1st and 2nd league players in order to enhance the scope of the test. [ABSTRACT FROM AUTHOR]

This study investigated the differences in running velocities at specific lactate thresholds among male German soccer players. One hundred fifty-two professional (3rd league: n = 78; 4th league: n = 74) male soccer players (mean ± SD; age: 24.7 ± 4.37 years, body mass: 80.8 ± 7.33 kg, body height: 1.83 ± 0.06 m) volunteered for the investigation. Players were categorized as goalkeepers, central defenders, central midfielders, wings and forward. Players completed a treadmill test, at incremental speeds, to determine running velocity at different blood lactate concentrations (v2 = 2 mmol/l; v4 = 4 mmol/l; and v6 = 6 mmol/l). In addition, the largest difference between positions for running velocity was found at the lactate threshold v2 (p = 0.005). The running data revealed that only goalkeepers had significantly lower velocities at the lactate thresholds compared to outfield players. The central midfielders showed the highest average performance level at the lactate thresholds (v2: 12.5 ± 1.20 km/h; v4: 15.2 ± 1.14 km/h; and v6: 16.6 ± 1.14 km/h). In conclusion, this study provides soccer and position-specific reference data for the running performance of male professional German soccer players to evaluate the endurance performance in a standardized way. In this context, future research should extend the database for the first and second leagues. Further research assessing running performance during competition matches over the entire season is required to validate the endurance test performance data.

This study investigated the differences in running velocities at specific lactate thresholds among male German soccer players. One hundred fifty-two professional (3rd league: n = 78; 4th league: n = 74) male soccer players (mean ± SD; age: 24.7 ± 4.37 years, body mass: 80.8 ± 7.33 kg, body height: 1.83 ± 0.06 m) volunteered for the investigation. Players were categorized as goalkeepers, central defenders, central midfielders, wings and forward. Players completed a treadmill test, at incremental speeds, to determine running velocity at different blood lactate concentrations (v2 = 2 mmol/l; v4 = 4 mmol/l; and v6 = 6 mmol/l). In addition, the largest difference between positions for running velocity was found at the lactate threshold v2 (p = 0.005). The running data revealed that only goalkeepers had significantly lower velocities at the lactate thresholds compared to outfield players. The central midfielders showed the highest average performance level at the lactate thresholds (v2: 12.5 ± 1.20 km/h; v4: 15.2 ± 1.14 km/h; and v6: 16.6 ± 1.14 km/h). In conclusion, this study provides soccer and position-specific reference data for the running performance of male professional German soccer players to evaluate the endurance performance in a standardized way. In this context, future research should extend the database for the first and second leagues. Further research assessing running performance during competition matches over the entire season is required to validate the endurance test performance data. [ABSTRACT FROM AUTHOR]

The aim of this study was to investigate position-specific (forwards, defenders) reference data for a scientifically evaluated (validity, reliability) ice hockey-specific complex test (IHCT). One hundred and four 3rd league professional ice hockey field players (mean ± standard deviations (SD); age: 26.4 ± 5.62 years) volunteered for the investigation. Players were categorized as forwards (n = 64) and defenders (n = 40). Data from the IHCT were collected over six seasons from three 3rd league teams. The IHCT included parameters for load (e.g., 10 m and 30 m skate times, transition and weave agility times with and without a puck, slap and wrist shots on goal) and stress (e.g., lactate, heart rate). The only significant (p < 0.002) difference between forwards and defenders for performance were found for weave agility with puck (p < 0.001). Forwards showed a higher average performance in this parameter than defenders. Differences were also found in weave agility without a puck (p = 0.008), 30 m backward sprinting without puck (p = 0.012) and goals after test (p = 0.030). This study provides position-specific reference data for a valid and reliable ice hockey-specific complex test for the 3rd league. These results may be used by coaches to judge player performance based on position (forwards vs. defenders). Moreover, coaches may use these data to evaluate the effectiveness of the most recent training period. Further research should extend this database to 1st and 2nd league players in order to enhance the scope of the test.

Summary: Further match analysis and observations were performed in soccer in recent years. During soccer matches female and male players cover a total running distance about ±10km, which is unchanged for many years. The amount of high-intensity activities during soccer matches shows significant differences between the levels of competition in both sexes. The comparison of conditional abilities between female and male teams from the first German soccer league show significant differences in linear running speed (30m -14.7%, p≤.05), nonlinear running speed (FLT-Z-Run-Sprint 22m -9.4%, p≤.05), jump performance (squat jump -32.1%, p≤.05, counter movement jump -33.8%, p≤.05) and endurance performance (lactate threshold test, running velocity at 4 mmol/l [km/h] blood lactate concentration -8.9%, p≤.05; ISRT -37.0%, p≤.05). With the exception of the dorsal trunk muscles in favor of women (dorsal trunk muscles +27.3%, p≤.05), no significant differences in trunk strength were found between women and men. Significant correlations were found between the total running distance at the Interval-Shuttle-Run-Test and the running velocity at 4 mmol/l blood lactate concentration in women from the first German league (r=0.87, p≤.05) but not in men from the fourth German league (r=0.47, p=n.s.). The current findings show that the general development in soccer matches has to be reflected by the methodology of performance assessment. Success in playing soccer requires resources, which are beyond the conditional abilities and are displayed in a new model. [ABSTRACT FROM AUTHOR]