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January 26, 2026Journal of Functional Morphology and Kinesiology0 citationsOpen Access

Effects of Knee Sleeve Density on Theoretical Neuromuscular Capacities Derived from the Force–Velocity–Power Profile in the Back Squat

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JLJorge Leschot-GaticaLRLuis Romero-VeraAÑAlberto Ñancupil-Andrade

Key Points

  • The study aims to investigate how different densities of knee sleeves affect the force–velocity–power profile during back squats.
  • Fifteen resistance-trained males performed back squats wearing low-density and high-density knee sleeves.
  • Barbell displacement and velocity were recorded using a linear position transducer.
  • Maximal theoretical force, velocity, and power were calculated using individual force–velocity relationships.
  • Paired-sample t-tests, linear mixed models, and Bayesian analyses were performed to assess the data.
  • No significant differences were found for maximal theoretical force, velocity, power, or force-velocity slope between sleeve conditions (p > 0.05).
  • High-density sleeves yielded slightly higher mean values for force, velocity, and power.
  • Bayesian models indicated moderate probability (~0.80) that high-density sleeves offer performance advantages.

Abstract

Background: Neoprene knee sleeves are commonly used to enhance joint stability and mechanical performance during resistance training. However, the specific influence of sleeve density on the force–velocity–power (F–V–P) profile during multi-joint lower-body exercises such as the back squat remains unclear. This study aimed to compare the theoretical F–V–P parameters derived from back squat performance while wearing low-density (LD) versus high-density (HD) knee sleeves. Methods: Fifteen resistance-trained males completed an incremental back squat test under both LD and HD conditions. A linear position transducer recorded barbell displacement and velocity. Individual force–velocity relationships were modelled to determine maximal theoretical force (F0), velocity (V0), power (Pmax), and the F–V slope. Paired-sample t-tests, linear mixed models, and Cohen’s d effect sizes were calculated. Clinical relevance was assessed using a threshold defined as 0.2 × the standard deviation of the HD condition. Bayesian analyses were conducted to estimate the probability and magnitude of the observed effects. Results: No statistically significant differences were observed between sleeve conditions for F0, V0, Pmax, or F–V slope (p > 0.05, d ≤ 0.37). Nonetheless, HD sleeves yielded slightly higher mean values for F0, V0, and Pmax, exceeding the predefined threshold for practical relevance. Bayesian models showed moderate probabilities (~0.80) that HD sleeves outperformed LD, though with limited chances of crossing the clinical significance threshold. Conclusions: Although HD sleeves do not produce systematic changes in F–V–P parameters, their increased material stiffness may provide small yet practically meaningful mechanical advantages in high-force resistance training contexts.

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Cite This Study

Leschot-Gatica et al. (2026) studied this question.

synapsesocial.com/papers/69770370722626c4468e86cdhttps://doi.org/10.3390/jfmk11010047
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