Literature DB >> 31500505

A randomised controlled trial of movement quality-focused exercise versus traditional resistance exercise for improving movement quality and physical performance in trained adults.

Hunter Bennett1, John Arnold1, Max Martin1, Kevin Norton1, Kade Davison1.   

Abstract

The aim of this trial was to compare an eight-week individual movement quality versus traditional resistance training intervention on movement quality and physical performance. Forty-six trained adults were randomised to a movement quality-focused training (MQ) or a traditional resistance training (TRAD) group, and performed two individualised training sessions per week, for 8 weeks. Session-RPE (sRPE) was obtained from each session. Measures of movement quality (MovementSCREEN and Functional Movement Screen (FMS)) and physical performance were performed pre- and post-intervention. All measures improved significantly in both groups (3-14.5%, p = <0.005). The between-group difference in MovementSCREEN composite score was not statistically significant (0.3, 95% CI -3.4, 4.1, p = 0.852). However, change in FMS composite was significantly greater in MQ (1.3, 95% CI 0.8, 1.8, p < 0.001). There were no significant between-group differences in physical performance (p = 0.060-0.960). The mean sRPE was significantly lower in MQ (5.25, SD 1.2) compared to TRAD (6.6 SD 1.0, p = <0.001). Thus, although movement quality scores were not distinctly greater in the MQ group, a movement quality specific intervention caused comparable improvements in physical performance compared to traditional resistance training but at lower perceived training intensity.

Entities:  

Keywords:  Functional; capacity; movement; movement system; musculoskeletal; screen

Mesh:

Year:  2019        PMID: 31500505     DOI: 10.1080/02640414.2019.1665234

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  1 in total

1.  Sports Training Strategies and Interactive Control Methods Based on Neural Network Models.

Authors:  Xulei Li; Yupeng Li
Journal:  Comput Intell Neurosci       Date:  2022-03-07
  1 in total

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