Force vs. impulse: assessing the applicability of dynamic strength indices in individualized training recommendations

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
出处
期刊:Biology of Sport [Termedia Publishing House]
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
情怀的应助被Orion采纳,获得10
刚刚
李大刚发布了新的文献求助10
1秒前
1秒前
1秒前
1秒前
SciGPT的应助被67采纳,获得10
1秒前
1秒前
超级的茗完成签到,获得积分10
2秒前
jiminfu发布了新的文献求助30
2秒前
2秒前
3秒前
科研通AI6.2的应助被18485649437采纳,获得10
3秒前
桐桐的应助被王福鑫采纳,获得10
3秒前
ashes完成签到 ,获得积分10
4秒前
4秒前
阿铭发布了新的文献求助10
4秒前
4秒前
5秒前
阿呆盘阿瓜完成签到,获得积分10
5秒前
dengdengdeng发布了新的文献求助10
6秒前
英姑的应助被zfqy采纳,获得10
6秒前
6秒前
6秒前
demon王完成签到,获得积分10
6秒前
白江虎发布了新的文献求助10
6秒前
6秒前
hp完成签到,获得积分10
7秒前
鹰击长空完成签到,获得积分10
7秒前
7秒前
香蕉觅云的应助被科研通管家采纳,获得10
7秒前
8秒前
8秒前
璐璐的应助被科研通管家采纳,获得20
8秒前
8秒前
8秒前
林狗的应助被杏林春暖采纳,获得10
8秒前
8秒前
小二郎的应助被科研通管家采纳,获得10
8秒前
所所的应助被科研通管家采纳,获得10
8秒前
勤恳问薇发布了新的文献求助10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Aspects of Post-SPE Phonology 2000
Nanocomposite Removal of Pesticides from Wastewater 1000
Rosenblum, Global Change Biology 800
Final Report for the 2-D Test of Model 901 Rotor and Wing Airfoils (BSWT 592) 528
Berberine regulates the TLR4 signaling pathway to suppress hypoxia-induced proliferation and migration of pulmonary arterial smooth muscle cells 520
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 物理 有机化学 化学工程 内科学 生物化学 复合材料 催化作用 心理学 细胞生物学 无机化学 电极 光电子学 人工智能
热门帖子
关注 科研通微信公众号,转发送积分 7896381
求助须知:如何正确求助?哪些是违规求助? 9405251
关于积分的说明 20867204
捐赠科研通 7499555
什么是DOI,文献DOI怎么找? 3359577
关于科研通互助平台的介绍 2497872
邀请新用户注册赠送积分活动 2388828