An investigation of the load-velocity relationship between flywheel eccentric and barbell training methods
Bibliographic Data
| ID | 22069912 |
|---|---|
| Authors | Ziwei Zhu (0000-0002-3990-4774, Guangzhou Sport University), Jiayong Chen (0009-0005-6121-9609, Guangzhou Sport University), Ruize Sun (0009-0002-9614-1627, Guangzhou Sport University), Renchen Wang, Ruying Wang (0000-0002-8071-6919, Harbin Institute of Technology), Jiaxin He (0009-0004-0374-6032, Guangzhou Sport University), Wenfeng Zhang (0000-0002-9223-4220, Guangzhou Sport University, corresponding author), Weilong Lin (0009-0003-0663-1903, Guangzhou Sport University, corresponding author), Duanying Li (0000-0002-2986-0421, Guangzhou Sport University, corresponding author) |
| Year | 2025 |
| Volume | 13 |
| Pages | 1579291-1579291 |
| Publication date | 2025-05-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2025.1579291 |
| PMID | 40520287 |
| OpenAlex | W4410905435 |
| Language | EN |
| References cited | 38 |
Objective Flywheel resistance training (FRT) is a training modality for developing lower limb athletic performance. The relationship between FRT load parameters and barbell squat loading remains ambiguous in practice, resulting in experience-driven load selection during training. Therefore, this study investigates optimal FRT loading for specific training goals (maximal strength, power, muscular endurance) by analyzing concentric velocity at varying barbell 1RM percentages (%1RM), establishes correlations between flywheel load, velocity, and %1RM, and integrates force-velocity profiling to develop evidence-based guidelines for individualized load prescription. Methods Thirty-nine participants completed 1RM barbell squats to establish submaximal loads (20–90%1RM). Concentric velocities were monitored via linear-position transducer (Gymaware) for FRT inertial load quantification, with test–retest measurements confirming protocol reliability. Simple and multiple linear regression modeled load-velocity interactions and multivariable relationships, while Pearson’s r and R 2 quantified correlations and model fit. Predictive equations estimated inertial loads (kg·m 2 ), supported by ICC (2, 1) and CV assessments of relative/absolute reliability. Results A strong inverse correlation (r = −0.88) and high linearity (R 2 = 0.78) emerged between rotational inertia and velocity. The multivariate model demonstrated excellent fit (R 2 = 0.81) and robust correlation (r = 0.90), yielding the predictive equation: y = 0.769–0.846v + 0.002 kg. Conclusion The strong linear inertial load-velocity relationship enables individualized load prescription through regression equations incorporating velocity and strength parameters. While FRT demonstrates limited efficacy for developing speed-strength, its longitudinal periodization effects require further investigation. Optimal FRT loading ranges were identified: 40–60%1RM for strength-speed, 60–80%1RM for power development, and 80–100% + 1RM for maximal strength adaptations
Eccentric · Eccentric training · Flywheel · Physical medicine and rehabilitation · Physical therapy · Physics · Structural engineering · Computer Science · Engineering · Medicine · Psychology · Sports Dynamics and Biomechanics · Sports injuries and prevention · Sports Performance and Training · Mechanical Engineering
| Highly cited | No |
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