Anthropometric Determinants of Triple Jump Performance in Under-17 Boys: A Predictive Modelling Approach

The triple jump is a complex athletic event that demands a unique combination of speed, strength, coordination, and biomechanical efficiency. This study aims to investigate the influence of key anthropometric parameters on triple jump performance among under-17 boys and to develop a predictive model that can assist in talent identification and performance enhancement. A sample of U-17 male athletes was assessed on various anthropometric variables including height, weight, leg length, arm span, and body mass index (BMI). Triple jump performance was measured through standardized field testing. Using multiple regression analysis, the study identified significant correlations between specific body dimensions and jump distance, with leg length and BMI emerging as the strongest predictors. The resulting model demonstrated high predictive accuracy and offers a valuable tool for coaches and sports scientists in identifying promising young athletes and customizing training strategies. This research highlights the importance of anthropometric profiling in youth athletics and its potential to inform evidence-based development programs.