Parr James, Winwood Keith, Hodson-Tole Emma, Deconinck Frederik J A, Parry Les, Hill James P, Malina Robert M, Cumming Sean P
Musculoskeletal Science and Sports Medicine Research Centre, Department of Life Science, Manchester Metropolitan University, Manchester, UK.
Manchester United Football Club, Manchester, UK.
Ann Hum Biol. 2020 Jun;47(4):400-408. doi: 10.1080/03014460.2020.1782989.
Three commonly used non-invasive protocols are implemented to estimate the timing at which PHV most likely occurs. Accurate estimation of circumpubertal years can aid in managing training load of adolescent athletes.
Three protocols were compared against observed age at PHV: an estimate of 13.8 ± 1.0 years - generic age at PHV (from longitudinal measures); an estimate based on the maturity offset equation, predicted age at PHV ±1.0 year; a window of PHV based on 85-96% of predicted adult height at time of observation.
A final sample of 23 (from 28) adolescent male participants were selected from the academy of an English Premier League club. Anthropometric measures were collected across five playing seasons; age at PHV was estimated with Super-Imposition by Translation and Rotation (SITAR). The three protocols were compared based on measures at 13.0 years. An age window based on predicted maturity offset did not improve estimation of PHV compared to generic age method; however, the percentage of predicted adult height window showed improvement in performance shown by the following results. Predicted age at PHV correctly assigned 15 participants (65%) as experiencing PHV, while the percentage height correctly assigned 17 participants (74%). Generic age and predicted age at PHV correctly predicted observed age at PHV for 14 participants (61%), percentage of adult height window correctly predicted 22 participants (96%).
实施了三种常用的非侵入性方案来估计PHV最可能出现的时间。准确估计青春期年限有助于管理青少年运动员的训练负荷。
将三种方案与观察到的PHV年龄进行比较:估计为13.8±1.0岁——PHV的一般年龄(来自纵向测量);基于成熟度偏移方程的估计,预测的PHV年龄±1.0岁;基于观察时预测成人身高的85%-96%的PHV窗口。
从一家英超俱乐部的青训学院中挑选出23名(共28名)青少年男性参与者作为最终样本。在五个比赛赛季中收集人体测量数据;通过平移和旋转叠加法(SITAR)估计PHV年龄。基于13.0岁时的测量结果对三种方案进行比较。与一般年龄方法相比,基于预测成熟度偏移的年龄窗口并没有改善对PHV的估计;然而,预测成人身高窗口的百分比在以下结果中显示出性能的提升。预测的PHV年龄正确地将15名参与者(65%)判定为经历了PHV,而身高百分比正确地判定了17名参与者(74%)。PHV的一般年龄和预测年龄正确地预测了14名参与者(61%)的观察到的PHV年龄,成人身高窗口百分比正确地预测了22名参与者(96%)。