Search Results (6)

Purpose: The aims of this study were: (1) to profile anthropometric, physical fitness, and specific throwing strength characteristics among 14–18 years boys and girls throwers; (2) to evaluate which factors vary with age, and which correlate with specific throwing strength; (3) to identify the measured variables that best predict specific throwing strength. Methods: Anthropometric, physical fitness, and specific throwing strength of 154 boys and 104 girls, who participated in track-and-field throw (Shot put, Javelin, Discus and Hammer throw) from four age categories (U15, U16, U17, U18), were measured in September 2022. The differences and correlations in parameters among different age, sex and throwing groups were analyzed using parametric and non-parametric testing. Multivariate linear regression analysis was used to identify the variables that best explain the specific throwing strength. Results: Disparities in height between boys and girls of the same age have consistently existed, however, the dissimilarity in weight tends to diminish as they grow older. Boys and girls of identical age groups exhibit noteworthy disparities in terms of speed, agility, and jumping prowess. These disparities tend to amplify as they advance in age. Significant differences were observed among boys of different ages in Height (p = 0.038), Body Mass (p = 0.02), BMI (p = 0.025), sit and reach test (p = 0.035), standing long jump (p = 0.012), standing triple jump (p < 0.01), forward overhead medicine ball throw (p = 0.002) and the hexagon agility test (p < 0.01). No differences were found in anthropometric measurements among girls, but differences were found in the hexagon agility test (p = 0.017) and plank test (p = 0.041). Specific throwing strength exhibits variations due to differences in events, age, and gender. Additionally, physical fitness performance, especially lower limb power, linear sprint speed, forward overhead medicine ball throw and backward overhead shot throw, have a high correlation with specific throwing strength. Conclusions: These findings broaden the existing knowledge base for coaches and practitioners, enabling them to discern the distinctive attributes of track and field throwers and capture the crucial physical markers that are pivotal for nurturing the progression of track-and-field throwers. The study suggests that throwers aged 14 to 18 should strive to comprehensively cultivate their athletic abilities. Full article

(1) Background: Physical fitness during childhood is an important indicator of current and future health status. Defining physical fitness levels is a key element of talent identification in the training of children and adolescents. It is also crucial in developing a sports career path. This study sought to validate a physical fitness test (OSF test) and to determine fitness norms for children and adolescents with a special focus on talent identification within its particular sub-tests of endurance, speed, strength and power. (2) Methods: A total of 27,187 athletes who participated in the ‘Athletics for all’ (AFA) programme were included in the analysis. Physical fitness was assessed using a validated OSF test (3 × 10 shuttle run, standing broad jump, 1 kg medicine ball overhead throw, 4-min run). (3) Results: Four key motor abilities (speed, power, strength and endurance) were assessed in children and adolescents. The OSF test was normalised, i.e., a reference frame in the form of centile charts was developed. (4) Conclusions: The centile charts developed for particular parts of the OSF test make it possible to interpret scores in particular motor sub-tests and, first and foremost, enable users to compare a given score with results obtained by their peers. Full article

Fire academy training classes may have trainees with a range of different fitness capabilities. Documentation of trainee fitness could indicate the need for flexibility in physical training emphases. Therefore, data from six academy classes (males = 274; females = 31) were analyzed, including: Illinois agility test (IAT), push-ups, pull-ups, leg tucks, multistage fitness test, backwards overhead 4.54 kg medicine ball throw (BOMBT), 10-repetition maximum deadlift, and 18 kg kettlebell farmers carry. A one-way ANOVA, with the Bonferroni post hoc test, calculated between-class fitness differences. Normative fitness test data were produced via percentile ranks. Classes 5 and 6 had the most females (n = 15). Class 1 completed the IAT faster than all classes (p ≤ 0.009). Classes 1 and 4 had a further BOMBT distance than Classes 5 and 6, and Class 3 outperformed Class 6 (p ≤ 0.044). Class 4 completed more leg tucks than Class 5 (p = 0.047). Class 1 had a greater deadlift than Classes 3, 4, and 6, and Class 2 outperformed Classes 3–6 (p ≤ 0.036). Class 3 was slower in the farmers carry compared to all classes (p ≤ 0.002). Percentile rankings showed that most females (48–100%) were in the 0–29% rank. Staff should implement individualized programs where appropriate for trainees as cohort fitness differences exist. Female trainees may need targeted maximal strength and power development. Full article

This study examined the physical fitness, anthropometry, and throwing velocity of normal weight and overweight male team handball players. Twenty-five players from the Qatar handball first professional league participated. The anthropometry and physical performance—yo-yo intermittent recovery test, jumping ability (squat and countermovement jumps (SJ and CMJ)), T-half test for change-of-direction (COD) ability, sprint tests (15 and 30 m), and 3 kg medicine ball overhead throw—was measured. The handball-throwing velocity was measured using a three-step running shot and a jump shot. Only the CMJ (p = 0.016, η_p² = 0.227) was different between the normal and overweight subjects. Two-step linear regression analysis using body height and body mass (step 1) and percentage body fat (%BF) (step 2) predictors showed an increase in the explained variance by adding %BF. The largest r² change was calculated for COD (0.53). The predictive ability was observed for CMJ (step 1: r² = 0.18, step 2: r² = 0.22) and SJ (step 1: r² = 0.05, step 2: r² = 0.09). With the exception of the sprint parameters (β-coefficient 15 m sprint: −0.07; β-coefficient 30 m sprint: −0.06) and COD (β-coefficient: −0.09), a lower %BF was associated with greater performance in all parameters. %BF seems to be important for predicting sprint and agility performance. Full article

This study aimed to compare 10-to-12-year-old Qatari male athletes and assess body fat, body mass index, and physical fitness, as well as the difference of these measures between ages. Thirty-five youth handball players volunteered for the investigation and were divided into three groups: 12-year-old players (U12; n = 12), 11-year-old players (U11; n = 11), 10-year-old players (U10; n = 12). Anthropometry was assessed by body mass, body fat percentage (%BF), and body mass index (BMI). Measurements included the Yo-Yo Intermittent Recovery Test Level 1 (Yo-Yo IR1), jumping ability (squat and countermovement jumps (SJ and CMJ, respectively)), and sprint tests (10 and 15 m). The power of the upper extremity was measured by a 2-kg overhead medicine ball throw for distance. Except for %BF (p = 0.387) and BMI (p = 0.070), all anthropometric and demographic parameters were different between age groups. The largest differences were found for body mass (p = 0.007) and body height (p = 0.008). Regarding fitness parameters, only the medicine ball throw (p = 0.022) was different between age groups (U10 vs. U12: p = 0.009; U11 vs. U12: p = 0.048). There was no difference between groups for jumping (CMJ: p = 0.586; SJ: p = 0.377), sprinting (10 m: p = 0.211; 15 m: p = 0.194) and Yo-Yo IR1 (p = 0.228). Body fat was the anthropometric parameter with the strongest relationship with physical performance in that lower body fat was related to superior jumping performance and sprint performance. In conclusion, except for %BF and BMI, all anthropometric parameters were different between U10, U11, and U12 handball players. For physical parameters, jumping, sprinting, and endurance performance were not different between age groups. From a practical perspective, coaches can use these findings as reference for the evaluation of their school-aged handball players, as well as for establishing performance goals. Full article

The purpose of the present study was to investigate the effect of an experimentally imposed kinetic chain disturbance in baseball pitching on ball speed and elbow kinetics. The experimental design consisted of two (within-subject) conditions. In one condition there was no manipulation (control condition). The other condition involved a manipulation of the kinetic chain by taping the pelvis and trunk. In both conditions, pitchers were instructed to throw fastballs until a minimum of 15 pitches were captured. Inverse dynamic solutions were used calculate the internal elbow moments of six elite youth baseball pitchers. The pitchers that were hampered in throwing fastballs, by the taped pelvis and trunk, showed significant lower ball speeds and peak internal varus moments compared to the pitchers that were allowed to throw without any hindrance. Full article