Force vs. impulse: assessing the applicability of dynamic strength indices in individualized training recommendations
Article
Liu, Y., Bishop, C., James, L.P., Lu, C., Meng, F. and Yuan, X. 2026. Force vs. impulse: assessing the applicability of dynamic strength indices in individualized training recommendations. Biology of Sport. 43, pp. 743-752. https://doi.org/10.5114/biolsport.2026.157994
| Type | Article |
|---|---|
| Title | Force vs. impulse: assessing the applicability of dynamic strength indices in individualized training recommendations |
| Authors | Liu, Y., Bishop, C., James, L.P., Lu, C., Meng, F. and Yuan, X. |
| Abstract | 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 (κ) 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 (κ = 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. |
| Keywords | Countermovement jump; Force platform; Resistance training; Strength diagnosis; Strength testing |
| Sustainable Development Goals | 3 Good health and well-being |
| Middlesex University Theme | Health & Wellbeing |
| Publisher | Termedia Publishing |
| Journal | Biology of Sport |
| ISSN | 0860-021X |
| Electronic | 2083-1862 |
| Publication dates | |
| 02 Jan 2026 | |
| Publication process dates | |
| Submitted | 02 Jul 2025 |
| Accepted | 11 Dec 2025 |
| Deposited | 10 Jun 2026 |
| Output status | Published |
| Publisher's version | License File Access Level Open |
| Copyright Statement | Articles published in the Biology of Sport are licensed under an open access Creative Commons CC BY 4.0 license. |
| Digital Object Identifier (DOI) | https://doi.org/10.5114/biolsport.2026.157994 |
| PubMed ID | 42220587 |
| PubMed Central ID | PMC13217403 |
| National Library of Medicine ID | 8700872 |
https://repository.mdx.ac.uk/item/368838
Download files
17
total views6
total downloads1
views this month1
downloads this month