培训(气象学)
计算机科学
物理医学与康复
力量训练
医学
物理疗法
肌肉力量
模拟
可靠性工程
机器学习
作者
Yuhang Liu,Chris Bishop,Lachlan James,Changda Lu,Fanhao Meng,Xiaoyi Yuan
标识
DOI:10.5114/biolsport.2026.157994
摘要
In this cross-sectional investigation, we aimed to compare impulse-derived (iDSI) and forcederived (fDSI) dynamic strength indices to determine their consistency in guiding individualized training recommendations.It also assessed the agreement between training prescriptions based on these indices and analyzed individualized neuromuscular profiles through case study comparisons.Twenty male skeleton and bobsled athletes performed countermovement jump (CMJ) and isometric mid-thigh pull (IMTP) assessments in a counterbalanced order.Wilcoxon signed-rank tests were conducted to examine differences between fDSI and iDSI.Spearman correlation coefficients quantified intra-group relationships, and linear regression analysis evaluated the model fit between indices.Cohen's kappa () was applied to assess agreement in training classifications derived from fDSI and iDSI.Both indices showed limitations in representing lower-limb neuromuscular function (Z = -3.72,p < 0.01, large effect).A moderate correlation was observed between iDSI and fDSI (rs = 0.47, p < 0.05), with moderate agreement in their training recommendations ( = 0.52, 95% CI: [0.38, 0.66]).Case-study analyses revealed substantial inter-athlete variability in CMJ force-time characteristics, highlighting the need for individualized interpretation within performance profiling.Incorporating phase-specific, multi-metric evaluations of force-time variables may improve the precision of training decisions and better inform athletespecific programming.
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