Cular Drazen, Beslija Tea, Cavala Marijana, Babic Matej, Kezic Ana
Faculty of Kinesiology, University of Split, 21000 Split, Croatia.
Einstein, Startup for Research, Development, Education, Trade and Services, 21000 Split, Croatia.
J Funct Morphol Kinesiol. 2025 May 12;10(2):171. doi: 10.3390/jfmk10020171.
: The study aims to compare three distinct protocols-Moore, Mirwald, and the new BAUSport SonicBone system-for predicting somatic maturation in youth athletes. : The participants were female members of the Croatian national volleyball youth team (U-17) ( = 16). The study involved comprehensive measurements, including height, weight, sitting height, leg length, wrist diameter, hand joint diameter, hand grip strength, and ultrasound measurements for skeletal age assessment. : Correlation analysis showed moderate to strong correlations between the Moore and Mirwald skeletal age estimates, but both showed weaker correlations with the BAUSport skeletal age. Repeated-measures ANOVA showed no significant difference between the Moore and Mirwald methods ( > 0.05); significant differences between both the Moore and Mirwald methods and the BAUSport method ( < 0.05). Regression analysis revealed that height, weight, sitting height, leg length, wrist diameter, and hand joint diameter explained 69% of BAUSport, with wrist diameter being the only significant predictor. While the Moore and Mirwald methods remain useful tools for estimating the timing of an athlete's growth spurt, BAUSport represents a potential advancement in skeletal age assessment. Further research is needed to validate BAUSport across diverse populations and optimize its calibration to accommodate anatomical variations. : The findings suggest that with further refinement, BAUSport could become a new standard for monitoring skeletal development in youth athletes. Additionally, studies should explore comparative analyses with other emerging technologies, such as genetic markers, hormonal assessments, and MRI, for further understanding of biological maturation in talent identification.
该研究旨在比较三种不同的方案——摩尔法、米尔瓦尔德法和新的BAUSport SonicBone系统——用于预测青少年运动员的身体成熟度。参与者为克罗地亚国家青年排球队(U-17)的女性成员( = 16)。该研究涉及全面测量,包括身高、体重、坐高、腿长、腕径、手部关节直径、握力以及用于骨骼年龄评估的超声测量。相关性分析表明,摩尔法和米尔瓦尔德法对骨骼年龄的估计之间存在中度到强的相关性,但两者与BAUSport骨骼年龄的相关性都较弱。重复测量方差分析表明,摩尔法和米尔瓦尔德法之间没有显著差异( > 0.05);摩尔法和米尔瓦尔德法与BAUSport法之间均存在显著差异( < 0.05)。回归分析显示,身高、体重、坐高、腿长、腕径和手部关节直径解释了BAUSport的69%,其中腕径是唯一显著的预测因子。虽然摩尔法和米尔瓦尔德法仍然是估计运动员生长突增时间的有用工具,但BAUSport代表了骨骼年龄评估方面的一项潜在进展。需要进一步研究以在不同人群中验证BAUSport,并优化其校准以适应解剖学变异。研究结果表明,经过进一步完善,BAUSport可能成为监测青少年运动员骨骼发育的新标准。此外,研究应探索与其他新兴技术(如基因标记、激素评估和MRI)的比较分析,以进一步了解人才识别中的生物成熟度。