Ce with this, the purposes of this study were (a) to examine the morphologic-, fitness-, handball-specific skills and psychological and “biosocial” differences between top elite and nontop elite team-handball players and (b) to investigate the extent to which they may be used to identify top elite team-handball players. One hundred sixty-seven adult male team-handball players were studied and divided in 2 groups: top elite (n = 41) and nontop elite (n = 126). Twenty-eight morphologic-, 9 fitness-, 1 handball-specific skills and 2 psychological-based and 2 “biosocial”-based attributes were used. Top elite and nontop elite groups were compared for each variable of interest using Student's t-test, and 5 logistic regression analyses were performed with the athlete's performance group (top elite or nontop elite) as the dependent variable and the variables of each category as predictors. The results showed that (a) body mass, waist girth, radiale-dactylion length, midstylion-dactylion length, and absolute muscle mass (morphologic model); (b) 30-m sprint time, countermovement jump height and average power, abdominal strength and the class of performance in the Yo-Yo Intermittent Endurance Test (fitness model); (c) offensive power (specific-skills model); (d) ego-based motivational orientation (psychological model); (e) socioeconomic status and the energy spent (for week) in handball activity (biosocial model); significantly (p < 0.05) contributed to predict the probability of an athlete to be a top elite team-handball player. Moreover, the fitness model exhibited higher percentages of correct classification (i.e., 91.5%) than all the other models did. This study provided (a) the rational to reduce the battery of tests for evaluation purposes, and (b) the initial step to work on building a multidisciplinary model to predict the probability of a handball athlete to be a top elite player....

The present study aims (i) to compare the maturational, morphological and fitness attributes of young basketball players of primary and secondary teams of an elite basketball academy, and (ii) to identify the set of morphological and fitness attributes which better discriminate the players from the two teams. A total of 116 male basketball players of an elite basketball academy were divided into primary (team A) and secondary (team B) teams in two age groups (U-14 and U-16). All the players were evaluated during two consecutive seasons and data related to players’ practice experience, maturational, morphological and fitness attributes were collected at the beginning of the competition period. The results of the study suggest that: (i) in both age categories, team A players were older, more mature, bigger in size and had greater fitness profiles than team B players; (ii) stature and abdominal resistance were identified as discriminant attributes for youth basketball player performance; (iii) aerobic capacity for U-14 and agility for U-16 were identified as specific discriminant attributes for performance in youth basketball. Coaches are recommended to avoid premature talent identification and provide players with opportunities to progress through the talent pathway, at least until U-16 age category.

Background: Investigations have reported differences amongst player position groups in elite team-Handball (HB) players. Nevertheless, studies with normative physical fitness data of the HB playing positions at more than two different levels of male HB players have not been reported yet. Objectives: This study aimed: 1) to describe and compare the physical fitness (PF) attributes of male HB players in different playing positions, and 2) to determine which combination of PF measures best discriminate the performance level groups in each one of the individual HB playing position groups. Materials and Methods: One hundred and sixty-one male HB players participated in this study. The participants were divided into five playing position groups: 1) Goalkeeper (GK, n = 24), 2) Wing (W, n = 48), 3) Back left/right (BLR, n = 38), 4) Back center (BC, n = 29), 5) Pivot (Pi, n = 22), complementarily, performance level was recorded for each participant according to the national HB association, i.e. 1) Top Elite, 2) Moderate Elite, 3) Sub-Elite or, 4) Moderately Trained. Stature and body mass measures were taken from each HB player, and six fitness tests were performed (30 -m sprint, handgrip, vertical jumps-SJ and CMJ, sit-ups, and Yo-Yo IE2). Results: Significant differences were observed between HB playing position groups in body size, speed, and lower limb power and handgrip strength. Nevertheless, 1) the performance in Yo-Yo IE2 was the best measure to discriminate the performance level groups when considering the HB goalkeeper group, HB center back group, and HB pivot group; 2) the average leg power (in squat jump) and the number of executions in sit up test successfully discriminated HB wing performance level groups; and, 3) Stature, countermovement jump height and the position in the Yo-Yo IE2, successfully discriminated HB left/right back performance level groups. Conclusions: It can be concluded that HB players profile, 1) differs according to HB playing position group, and, 2) for the same playing position group, it differs according to HB performance level. This study also demonstrated the influence of aerobic capacity for HB excellence, and according to playing positions. Keywords: Team Handball; Body Size; Fitness; Performance Level; Role

Ramos, S, Volossovitch, A, Ferreira, AP, Barrigas, C, Fragoso, I, and Massuça, L. Differences in maturity, morphological and fitness attributes between the better- and lower-ranked male and female U-14 Portuguese elite regional basketball teams. J Strength Cond Res 34(3): 878–887, 2020—During a national championship, the anthropometric, physiological, and maturation attributes of 13–14-year-old players of regional selection basketball teams and their association with team's final classification were analyzed. Body parameters (body mass, height, skinfolds, and lengths) were measured and physiological capacities assessed by sprint (20 m), agility, jump, and upper-body strength tests. Chronological age, maturity offset (years from age at peak height velocity; YAPHV), and predicted age at peak height velocity were calculated. In both sexes, no significant differences were found for maturity. Anthropometric and physiological analysis indicated that male players from finalist's teams were significantly faster, were more agile, threw the medicine ball longer, and showed lower percentages of body fat than players from lower-ranked teams. Further, semifinalists were faster than lower-ranked players. In the same sense, female players from semifinalist teams demonstrated to be significantly faster, more agile, and threw the medicine ball longer than female players from lower-ranked teams. In addition, discriminant analysis showed that speed (in boys) and the combination of speed and upper limb strength (in girls) could successfully discriminate players with different performances in a championship. In conclusion, speed and upper limb strength appear to be the physical attributes associated with better team performance in youth basketball. Coaches should be aware of the relationship between the improvement of these physical attributes and the teaching-learning process of the basketball game.

This study aims to investigate the association between the rating of perceived exertion (RPE), heart rate (HR) and the blood lactate concentration ([La]) in successive judo fight simulations (randori).Ten athletes participated in the study (age: 25.62.1 years; stature: 1.750.07 m; body mass: 75.614.9kg; %BF: 11.57.8%; practice: 14.56.2 years) and completed 4 judo fight simulations (T1 to T4) with duration of 5 min separated by 5 min passive recovery periods. Before each randori, [La] and HR were collected, and after each randori, the same measures and the RPE (CR-10 scale) were collected.Significant correlations were observed between: (1) CR-10 and HR (T2: r =0.70; T3: r =0.64; both, P<0.05); (2) ?CR-10 and ?[La] (T1-T2: r = .71, P< 0.05; T2-T3: r =0.92, P<0.01; T3-T4: r =0.73, P<0.05). Moreover, significant differences were noted in the behavior of the HR between the 2nd (T2) and 3rd (T3) judo fight simulations (P<0.05).The use of CR-10 in the evaluation process, as well as in deciding the load of training in judo, should be done with caution.

This narrative review examines the intricate psychophysiological interplay between cognitive functions and physical responses within military personnel engaged in combat. It elucidates the spectrum of responses elicited by symmetric and asymmetric warfare alongside specialised combat scenarios, including close-quarters and subterranean warfare. Central to this discourse is the emphasis on integrating training programs beyond physical conditioning to encompass psychological resilience and decision-making efficacy under duress. The exploration further ventures into applying advanced technologies such as virtual reality and wearable devices, highlighting their pivotal role in augmenting training outcomes and supporting soldier health. Through a detailed analysis of psychophysiological variations across different military branches of service, the narrative review advocates for bespoke training regimens and support frameworks tailored to address the unique exigencies of each service branch. Concluding observations stress the importance of evolving military training paradigms, advocating for adopting realistic, immersive training simulations that mirror the complexities of the contemporary battlefield. This synthesis aims to contribute to the ongoing discourse on optimising military training protocols and enhancing the operational readiness and well-being of armed forces personnel. This narrative review is essential for military psychologists, trainers, and policymakers, aiming to bridge the gap between theoretical knowledge and practical implementation in military training programs.