Literature DB >> 27632830

Correlation Between Ankle-Dorsiflexion and Hip-Flexion Range of Motion and the Functional Movement Screen Hurdle-Step Score.

Jacob J Janicki, Craig L Switzler, Bradley T Hayes, Charlie A Hicks-Little.   

Abstract

CONTEXT: Functional movement screening (FMS) has been gaining popularity in the fields of sports medicine and performance. Currently, limited research has examined whether FMS screening that identifies low FMS scores is attributed primarily to limits in range of motion (ROM).
OBJECTIVE: To compare scores from the FMS hurdle-step movement with ROM measurements for ankle dorsiflexion and hip flexion (HF).
DESIGN: Correlational research design.
SETTING: Sports medicine research laboratory. PARTICIPANTS: 20 healthy active male (age 21.2 ± 2.4 y, weight 77.8 ± 10.2 kg, height 180.8 ± 6.8 cm) and 20 healthy active female (21.3 ± 2.0 y, 67.3 ± 8.9 kg, 167.4 ± 6.6 cm) volunteers. INTERVENTION: All 40 participants completed 3 trials of the hurdle-step exercise bilaterally and goniometric ROM measurements for active ankle dorsiflexion and HF. MAIN OUTCOME MEASURES: Correlations were determined between ROM and FMS scores for right and left legs. In addition, mean data were compared between FMS scores, gender, and dominant and nondominant limbs.
RESULTS: There were no significant correlations present when all participants were grouped. However, when separated by gender significant correlations were identified. There was a weak correlation with HF and both hurdle-step (HS) and average hurdle-step (AHS) scores on both left (r = .536, P = .015 and r = .512, P = .012) and right (r = .445, P = .049 and r = .565, P = .009) legs for women. For men, there was a poor negative correlation of HF and both HS and AHS on the left leg (r = -.452, P = .045 and r = .451, P = .046).
CONCLUSION: Our findings suggest that although hip and ankle ROMs do not have a strong relationship with FMS hurdle-step scores, they are a contributing factor. More research should be conducted to identify other biomechanical factors that contribute to individual FMS test scores.

Entities:  

Keywords:  assessment; injury; injury probability; lower extremity

Mesh:

Year:  2016        PMID: 27632830     DOI: 10.1123/jsr.2015-0070

Source DB:  PubMed          Journal:  J Sport Rehabil        ISSN: 1056-6716            Impact factor:   1.931


  3 in total

1.  Comparison of Lower Extremity Kinematics during the Overhead Deep Squat by Functional Movement Screen Score.

Authors:  Caitlyn Heredia; Robert G Lockie; Scott K Lynn; Derek N Pamukoff
Journal:  J Sports Sci Med       Date:  2021-10-01       Impact factor: 2.988

Review 2.  Utility of FMS to understand injury incidence in sports: current perspectives.

Authors:  Meghan Warren; Monica R Lininger; Nicole J Chimera; Craig A Smith
Journal:  Open Access J Sports Med       Date:  2018-09-07

3.  Effects of functional movement screen training in high-school baseball players: A randomized controlled clinical trial.

Authors:  Kenta Suzuki; Kiyokazu Akasaka; Takahiro Otsudo; Yutaka Sawada; Hiroshi Hattori; Yuki Hasebe; Yasuaki Mizoguchi; Toby M Hall; Mitsuru Yamamoto
Journal:  Medicine (Baltimore)       Date:  2021-04-09       Impact factor: 1.817

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.