ArticleSports (Basel, Switzerland)2018
Is a Bimodal Force-Time Curve Related to Countermovement Jump Performance?
Article in Sports (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Terminology and Interpretation Across Neuromuscular Profiling Methods: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2026Pooled it
- The Effects of Familiarisation on Countermovement Jumps with Handheld Dumbbell Accentuated Eccentric Loading in Youth Athletes.European journal of sport science · 2025Article
- Comparisons between different methods of calculating dynamic strength index: Effect on training recommendations.PloS one · 2025Article
- Analyses of Countermovement Jump Performance in Time and Frequency Domains.Journal of human kinetics · 2021Article
- Force-Time Waveform Shape Reveals Countermovement Jump Strategies of Collegiate Athletes.Sports (Basel, Switzerland) · 2020Article
- Surfing the Waves of the CMJ; Are There between-Sport Differences in the Waveform Data?Sports (Basel, Switzerland) · 2018Article
- Within-Subject Consistency of Unimodal and Bimodal Force Application during the Countermovement Jump.Sports (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A countermovement jump (CMJ) represents one of the most frequently used performance tests for monitoring neuromuscular function in athletes. An often-overlooked feature that may provide some useful diagnostic information is the actual shape of the force-time curve. The aim of this study was therefore to consider how the shape of the force-time curve influences jump performance. Thirty-three male rugby union players performed two CMJs on a force plate, with discrete variables and continuous curve analysis used. The subjects were dichotomized based on shape of the force-time curve during the propulsion phase and by jump height. The differences between the unimodal and bimodal groups were unclear for jump height (ES = 0.28, ±0.58) and reactive strength index-modified (ES = −0.30, ±0.59). A substantial difference between high (40.2 ± 2.9 cm) and low (31.2 ± 3.2 cm) jumpers only existed in the late propulsion phase by 79.0% to 97.0% of the normalized force-time curve. A bimodal force-time curve is not representative of an optimal pattern of performance and simply reflects an inefficient stretch-shortening cycle. The inter-individual variability that exists in braking COM displacement renders temporal phase analysis impractical in cross-sectional type studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.