Health Sciences Faculty, Universidad San Jorge, Autov A23 km 299, 50830 Villanueva de Gállego, Zaragoza, Spain.
Biomedical Science Department, Alcala University, 28054 Alcalá de Henares, Madrid, Spain.
Int J Environ Res Public Health. 2020 Sep 25;17(19):7022. doi: 10.3390/ijerph17197022.
The objectives of this study were: (i) to analyse anthropometric parameters and throwing speed from seven meters in amateur male handball players of different ages; (ii) to know the relationship between anthropometric parameters and throwing. One hundred seventy-six male handball players (16.5 ± 5.1 years old) participated in the study, classified according to their age: senior (n = 35), U18 (n = 30), U16 (n = 37), U14 (n = 50) and U12 (n = 24). All participants were evaluated by anthropometric measurements (height, weight, body mass index, arm span, hand width) and throwing speed from 7 m standing. A one-way analysis of variance with a Bonferroni post hoc test was used to establish the differences between teams. Pearson's simple correlation coefficients were calculated between analyse anthropometric parameters and throwing speed. Multiple linear regression was used to predict the throwing speed. Only BMI was related with throwing speed in all age groups (0.506 > r < 0.813, < 0.05). Throwing speed was predicted (24-72%) with only one or two variables in each model. The selected variables were: BMI, arm span in U16 model and height U14 model, and the BMI, arm span and height are proved to be good predictors of TS in male handball players.
（i）分析来自不同年龄阶段的业余男性手球运动员的人体测量参数和 7 米处的投掷速度；（ii）了解人体测量参数与投掷之间的关系。共有 176 名男性手球运动员（16.5±5.1 岁）参与了研究，根据年龄进行分组：高级组（n=35）、U18 组（n=30）、U16 组（n=37）、U14 组（n=50）和 U12 组（n=24）。所有参与者都接受了人体测量评估（身高、体重、体重指数、臂展、手宽）和 7 米站立投掷速度的评估。使用单向方差分析和 Bonferroni 事后检验来确定团队之间的差异。计算了分析人体测量参数与投掷速度之间的 Pearson 简单相关系数。使用多元线性回归来预测投掷速度。只有 BMI 与所有年龄组的投掷速度相关（0.506>r<0.813，p<0.05）。每个模型只用一个或两个变量就能预测投掷速度（24%-72%）。所选变量是：BMI、U16 模型中的臂展和 U14 模型中的身高，BMI、臂展和身高被证明是男性手球运动员 TS 的良好预测指标。
