Login / Signup

Does Performance-Related Information Augment the Maximal Isometric Force in the Elbow Flexors?

William M MillerSunggun JeonMinsoo KangJun Seob SongXin Ye
Published in: Applied psychophysiology and biofeedback (2020)
The effects of different feedback conditions on the elbow flexors maximal voluntary isometric (MVIC) force were examined. In a single visit, twenty participants (10 males) were exposed to four conditions including, Visual only; (i.e., knowledge of results [VI]); Verbal encouragement (i.e., verbally stating pull, pull [VE]); VI and VE (VIVE); and no VI or VE (NOVIVE). Three, 5-s MVIC trials were completed for each condition. Separate 2 × 4 (sex × condition) repeated measures analyses of variance (ANOVA) were used to examine MVIC force, rate of force development (RFD200), and rate of electromyography (EMG) rise (RER200) for the 0-200-ms window. There was a significant main condition effect for MVIC force (p < 0.001). Significantly greater MVIC force was shown for VIVE compared to VE (p < 0.001) and NOVIVE (p = 0.002) conditions, and VI compared to VE (p = 0.011) and NOVIVE (p = 0.009) conditions. A significant sex × condition interaction (p = 0.036) was observed for RFD200, with significantly (p = 0.003) greater RFD200 in males compared to females, in the VI condition only. There were no significant differences in RFD200 among condition for males (p = 0.033) or females (p = 0.194). There was a significant main effect for sex (p = 0.006) for RER200, with significantly greater (p = 0.003) RER200 (conditions merged) in males (mean ± standard deviation (SD): 422.99 ± 124.67%), compared to females (220.68 ± 134.01%). Here we suggest the importance of providing VI feedback alone, or in conjunction with VE, for the measurement of elbow flexion MVIC. Additionally, these results provide a foundational framework for future studies aiming to improve feedback modalities during training or rehabilitation.
Keyphrases
  • single molecule
  • resistance training
  • healthcare
  • ms ms
  • mass spectrometry
  • heart rate
  • multiple sclerosis
  • health information
  • social media
  • drug induced