Search Results

You are looking at 1 - 2 of 2 items for

  • Author or Editor: V Szakács x
Clear All Modify Search

The aim of this study was to investigate the effect of fast and slow relaxation of the knee extensor muscle of the dominant leg on torque-time curve of the unilaterally contracting contralateral muscle. Eight adult male subjects were recruited without bilateral deficit. In Task 1 subjects exerted bilateral and unilateral torque and bilateral index was calculated. In Task 2 subjects relaxed the right knee extensors as slow as possible while maximum activation of the contralateral muscle had to be maintained. In Task 3 the relaxation was as fast as possible. During slow relaxation the short latency response (dM1) was 6.6% torque reduction in the left leg. On the contrary fast muscle relaxation resulted in a 7.3% increase. During long latency response the torque increased in both tasks, but did not exceed the torque measured in Task 1. Significant correlation was found between the rate of torque reduction (RTR) and dM1 (r = 0.95, P < 0.001), time to peak (t1) and dM1 (r = 0.812, P < 0.01). The regression analysis indicated that RTR greater or less than −1.0 Nm/ms results in opposite short latency response. We concluded that the different tasks for two knee extensor muscles result in transient interhemispheric effects which are time and rate of torque reduction dependent.

Restricted access

Aims

The aim of this study was to examine the effects of gender on the relationship between Functional Movement Screen (FMS) and treadmill-based gait parameters.

Methods

Twenty elite junior athletes (10 women and 10 men) performed the FMS tests and gait analysis at a fixed speed. Between-gender differences were calculated for the relationship between FMS test scores and gait parameters, such as foot rotation, step length, and length of gait line.

Results

Gender did not affect the relationship between FMS and treadmill-based gait parameters. The nature of correlations between FMS test scores and gait parameters was different in women and men. Furthermore, different FMS test scores predicted different gait parameters in female and male athletes. FMS asymmetry and movement asymmetries measured by treadmill-based gait parameters did not correlate in either gender.

Conclusion

There were no interactions between FMS, gait parameters, and gender; however, correlation analyses support the idea that strength and conditioning coaches need to pay attention not only to how to score but also how to correctly use FMS.

Restricted access