Literature DB >> 25946305

Increased Athletic Performance in Lighter Basketball Shoes: Shoe or Psychology Effect?

Maurice Mohr1, Matthieu B Trudeau, Sandro R Nigg, Benno M Nigg.   

Abstract

PURPOSE: To determine the effect of shoe mass on performance in basketball-specific movements and how this affects changes if an athlete is aware or not of the shoe's mass relative to other shoes.
METHODS: In an experimental design, 22 male participants were assigned to 2 groups. In the "aware" group, differences in the mass of the shoes were disclosed, while participants in the other group were blinded to the mass of shoes. For both groups lateral shuffle-cut and vertical-jump performances were quantified in 3 different basketball-shoe conditions (light, 352 ± 18.4 g; medium, 510 ± 17 g; heavy, 637 ± 17.7 g). A mixed ANOVA compared mean shuffle-cut and vertical-jump performances across shoes and groups. For blinded participants, perceived shoe-weight ratings were collected and compared across shoe conditions using a Friedman 2-way ANOVA.
RESULTS: In the aware group, performance in the light shoes was significantly increased by 2% (vertical jump 2%, P < .001; shuffle cut 2.1%, P < .001) compared with the heavy shoes. In the blind group, participants were unable to perceive the shoe-weight variation between conditions, and there were no significant differences in vertical-jump and shuffle-cut performance across shoes.
CONCLUSIONS: Differences in performance of the aware participants were most likely due to psychological effects such as positive and negative expectancies toward the light and heavy shoes, respectively. These results underline the importance for coaches and shoe manufacturers to communicate the performance-enhancing benefits of products or other interventions to athletes to optimize their performance outcome.

Entities:  

Mesh:

Year:  2015        PMID: 25946305     DOI: 10.1123/ijspp.2014-0538

Source DB:  PubMed          Journal:  Int J Sports Physiol Perform        ISSN: 1555-0265            Impact factor:   4.010


  5 in total

1.  Somatosensory Perception of Running Shoe Mass may be influenced by Extended Wearing Time or Inclusion of a Personal Reference Shoe, Depending on Testing Method.

Authors:  James G Saxton; Benjamin R Mardis; Christopher L Kliethermes; David S Senchina
Journal:  Int J Exerc Sci       Date:  2020-02-01

2.  Effects of the weight of shoes on calf muscle simulation.

Authors:  I-Lin Wang; Yi-Ming Chen; Ke-Ke Zhang; Ming Gou; Jia-Qi Li; Yu-Hong Jiang
Journal:  J Foot Ankle Res       Date:  2020-07-23       Impact factor: 2.303

3.  Convolutional Neural Network-Based Human Movement Recognition Algorithm in Sports Analysis.

Authors:  Jiatian Liu
Journal:  Front Psychol       Date:  2021-06-25

4.  Effect of Red Arch-Support Insoles on Subjective Comfort and Movement Biomechanics in Various Landing Heights.

Authors:  Yi Wang; Wing-Kai Lam; Cheuk-Hei Cheung; Aaron Kam-Lun Leung
Journal:  Int J Environ Res Public Health       Date:  2020-04-05       Impact factor: 3.390

5.  Effects of shoe weight on landing impact and side-to-side asymmetry.

Authors:  I-Lin Wang; Jin-Jiang Gao; Li-I Wang; Ke-Ke Zhang
Journal:  PLoS One       Date:  2021-08-12       Impact factor: 3.240

  5 in total

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