Mechanical Engineering, College of Engineering, Cal Poly State University, San Luis Obispo, CA, USA.
Food Science & Nutrition, College of Agriculture, Food, and Environmental Sciences, Cal Poly State University, San Luis Obispo, CA, USA.
Sports Biomech. 2022 Oct;21(9):993-1007. doi: 10.1080/14763141.2020.1715470. Epub 2020 Mar 5.
This study's objectives were to: (1) assess whether dual energy X-ray absorptiometry (DXA)-mass inverse dynamics (ID) alters predictions of youth pitching arm kinetics and (2) investigate correlations between kinetics and body composition. Eighteen 10- to 11-year-olds pitched 10 fastballs. DXA scans were conducted to obtain participant-specific upper arm, forearm, and hand masses. Pitching arm segment masses and kinetics calculated with scaled and DXA masses were compared with paired t-tests and correlations were investigated with linear regression. Hand (p < 0.001) and upper arm (p < 0.001) DXA masses were greater, while forearm (p < 0.001) DXA masses were lesser, than their scaled masses. Shoulder compressive force (p < 0.001), internal rotation torque (p < 0.001), and horizontal adduction torque (p = 0.002) increased when using DXA masses. Shoulder compressive force correlated with body mass (p < 0.001) and body mass index (BMI; p = 0.002) and elbow varus torque correlated with body mass (p < 0.05). The main conclusions were that (1) using participant-specific mass ratios leads to different predictions of injury-related pitching arm kinetics and, thus, may improve our understanding of injury risk factors; and (2) pitching arm kinetics were correlated with body composition measures and a relatively high total body mass and/or BMI may increase shoulder and/or elbow injury risk.
(1)评估双能 X 射线吸收法(DXA)-质量反动力学(DXA-ID)是否改变对青少年投球手臂动力学的预测;(2)研究动力学与身体成分之间的相关性。18 名 10 至 11 岁的儿童投了 10 个快球。进行 DXA 扫描以获得参与者特定的上臂、前臂和手部质量。使用缩放和 DXA 质量计算的投球手臂段质量和动力学,并使用配对 t 检验进行比较,并通过线性回归研究相关性。手(p < 0.001)和上臂(p < 0.001)DXA 质量大于其缩放质量,而前臂(p < 0.001)DXA 质量小于其缩放质量。使用 DXA 质量时,肩部压缩力(p < 0.001)、内旋扭矩(p < 0.001)和水平内收扭矩(p = 0.002)增加。肩部压缩力与体重(p < 0.001)和体重指数(BMI;p = 0.002)相关,而肘外翻扭矩与体重相关(p < 0.05)。主要结论是:(1)使用参与者特定的质量比会导致与受伤相关的投球手臂动力学的预测不同,从而可能加深我们对受伤危险因素的理解;(2)投球手臂动力学与身体成分测量值相关,较高的总体重和/或 BMI 可能会增加肩部和/或肘部受伤的风险。