Sgroi Terrance, Chalmers Peter N, Riff Andrew J, Lesniak Matthew, Sayegh Eli T, Wimmer Markus A, Verma Nikhil N, Cole Brian J, Romeo Anthony A
Accelerated Rehabilitation Centers Ltd, Chicago, IL, USA.
Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
J Shoulder Elbow Surg. 2015 Sep;24(9):1339-45. doi: 10.1016/j.jse.2015.02.015. Epub 2015 Apr 1.
Shoulder and elbow injuries are a common cause of pain, dysfunction, and inability to play in overhead throwers. Pitch velocity plays an integral part in the etiology of these injuries; however, the demographic and biomechanical correlates with throwing velocity remain poorly understood. We hypothesized that pitchers with higher velocity would have shared demographic and kinematic characteristics.
Normal preseason youth and adolescent pitchers underwent dual-orthogonal high-speed video analysis while pitch velocity was collected with a radar gun. Demographic and pitching history data were also collected. Kinematic data and observational mechanics were recorded. Multivariate regression analysis was performed.
A total of 420 pitchers were included, with a mean pitching velocity of 64 ± 10 mph. After multivariate logistic regression analysis, the most important correlates with pitch velocity were age (P < .001; R(2) = 0.658), height (P < .001; R(2) = 0.076), separation of the hips and shoulders (P < .001; R(2) = 0.027), and stride length (P < .001; R(2) = 0.016); in combination, these 4 variables explained 78% of the variance in pitch velocity. Each year of age was associated with a mean 1.5 mph increase in velocity; each inch in height, with 1.2 mph; separation of the hips and shoulders, with 2.6 mph; and a 10% increase in stride length, with 1.9 mph.
Pitch velocity is most strongly correlated with age, height, separation of the hips and shoulders, and stride length.
肩部和肘部损伤是导致疼痛、功能障碍以及 overhead throwers 无法进行比赛的常见原因。投球速度在这些损伤的病因中起着不可或缺的作用;然而,与投球速度相关的人口统计学和生物力学因素仍知之甚少。我们假设投球速度较高的投手具有共同的人口统计学和运动学特征。
正常季前赛的青少年投手在使用雷达枪收集投球速度的同时,接受双正交高速视频分析。还收集了人口统计学和投球历史数据。记录了运动学数据和观察到的力学情况。进行了多变量回归分析。
共纳入 420 名投手,平均投球速度为 64±10 英里/小时。经过多变量逻辑回归分析,与投球速度最相关的因素是年龄(P<.001;R(2)=0.658)、身高(P<.001;R(2)=0.076)、髋部与肩部的分离度(P<.001;R(2)=0.027)和步幅(P<.001;R(2)=0.016);这 4 个变量共同解释了投球速度方差的 78%。年龄每增加一岁,速度平均增加 1.5 英里/小时;身高每增加一英寸,速度增加 1.2 英里/小时;髋部与肩部的分离度增加,速度增加 2.6 英里/小时;步幅增加 10%,速度增加 1.9 英里/小时。
投球速度与年龄、身高、髋部与肩部的分离度以及步幅的相关性最强。