Kinanthropometry International Chair, Universidad Católica San Antonio, Murcia, Murcia, Spain.
Faculty of Sport Science, Universidad Católica San Antonio, Murcia, Murcia, Spain.
PeerJ. 2022 Apr 5;10:e13216. doi: 10.7717/peerj.13216. eCollection 2022.
The identification of sport talent among adolescent athletes is a topic that in recent years has been a major focus of interest for both the scientific community and sport managers. Both anthropometry and physical performance through fitness tests have demonstrated to be key elements. Biological maturation, due to its influence on anthropometric variables and physical fitness, has also been studied in relation to sport talent identification.
To analyse differences according to biological maturation status in anthropometric characteristics and performance in physical fitness tests, and to determine which variables predict better performance in physical fitness tests in adolescent volleyball players.
A cross-sectional design was followed to collect the data. A total of 48 male sub-elite volleyball players (14.17 ± 0.73 years) completed a socio-demographic and sports ad hoc questionnaire. Anthropometric variables were measured following the guidelines of the International Society for the Advancement in Kinanthropometry (ISAK) including four basic measurements (body mass, height, sitting height and arm span); eight skinfolds (triceps, biceps, subscapular, iliac crest, supraspinale, abdominal, thigh and calf); four girths (arm relaxed, flexed and tensed arm, middle thigh and calf); five breadths (biacromial, biileocrestal, humerus, femur and bi-styloid); three lengths (acromiale-radiale, radiale-stylion and stylion-medio dactilion); and a height (ilioespinale). Physical fitness was assessed, including the sit-and-reach, back scratch, long jump, medicine ball throw, counter movement jump (CMJ), 20 meters sprint, and agility tests. Furthermore, maturity offset and age at peak height velocity (APHV) was calculated.
Significant differences were found in the body mass (Mean Difference, MD = 20.86-30.75), height (MD = 11.72-19.09), sitting height (MD = 4.27-10.27), arm span (MD = 12.91-20.78), body mass index (MD = 3.72-5.63), upper limb length (MD = 7.76), corrected muscle girths (MD = 2.06-9.31), ∑6 and 8 skinfolds (MD = 3.67-50.21) fat mass and percentage (MD = 0.30-11.58), muscle (MD = 4.13-10.64) and bone mass (MD = 1.61-3.54) ( < 0.001-0.030), showing higher values the early maturers. In the physical fitness tests, significant differences were observed in the medicine ball throw (MD = 1.26-2.80) and in CMJ power (MD = 156.71-379.85) ( < 0.001). Regression models identified fat mass percentage predicted worse physical test performance ( < 0.001), while age, maturation offset, muscle and bone variables were predictors of better physical performance ( < 0.001).
Significant differences based upon the stages of biological maturation were found in the anthropometric and physical condition variables in favor of the players whose maturation process was more advanced, with the variables related to fat and adipose, muscle and bone development conditioning their performance in the physical condition tests.
青少年运动员的运动天赋识别是近年来科学界和体育管理者关注的焦点。人体测量学和通过体能测试的身体表现都被证明是关键要素。由于其对人体测量变量和体能的影响,生物成熟度也与运动天赋识别有关。
分析根据生物成熟度状态在人体测量特征和体能测试表现方面的差异,并确定哪些变量可以更好地预测青少年排球运动员在体能测试中的表现。
采用横断面设计收集数据。共有 48 名男性亚精英排球运动员(14.17±0.73 岁)完成了一份社会人口统计学和体育特定问卷。人体测量变量按照国际人体测量学协会(ISAK)的指南进行测量,包括四个基本测量值(体重、身高、坐高和臂展);八个皮褶(三头肌、二头肌、肩胛下、髂嵴、脊柱上、腹部、大腿和小腿);四个周长(放松臂、弯曲臂和紧张臂、大腿中部和小腿);五个宽度(肩宽、髂嵴宽、肱骨宽、股骨宽和二茎突宽);三个长度(肩-桡骨、桡骨-茎突和茎突-中节指骨);和一个身高(髂棘-棘突)。评估了体能,包括坐立伸展、背部划痕、跳远、药球投掷、反向跳跃(CMJ)、20 米冲刺和敏捷性测试。此外,还计算了成熟度偏移和身高峰值速度(APHV)年龄。
体重(平均差异,MD=20.86-30.75)、身高(MD=11.72-19.09)、坐高(MD=4.27-10.27)、臂展(MD=12.91-20.78)、体重指数(MD=3.72-5.63)、上肢长度(MD=7.76)、校正肌肉周长(MD=2.06-9.31)、∑6 和 8 皮褶(MD=3.67-50.21)、脂肪量和百分比(MD=0.30-11.58)、肌肉(MD=4.13-10.64)和骨量(MD=1.61-3.54)(<0.001-0.030)方面存在显著差异,早期成熟者表现出更高的值。在体能测试中,药球投掷(MD=1.26-2.80)和 CMJ 功率(MD=156.71-379.85)(<0.001)方面存在显著差异。回归模型确定脂肪百分比预测较差的体能测试表现(<0.001),而年龄、成熟度偏移、肌肉和骨骼变量是体能表现的预测因素(<0.001)。
根据生物成熟度阶段发现了人体测量和身体状况变量的显著差异,有利于成熟过程更为先进的运动员,与脂肪和脂肪相关的变量、肌肉和骨骼发育决定了他们在身体状况测试中的表现。