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Use of video observation and motor imagery on jumping performance in national rhythmic gymnastics athletes
Affiliation:1. Univ Lyon, University Claude Bernard Lyon 1, Inter-university Laboratory of Human Movement Sciences, EA 7424, F-69622 Villeurbanne Cedex, France;2. Health Research Institute, University of Limerick, Limerick, Ireland;3. Institut Universitaire de France, Paris, France;1. Sport and Exercise Sciences Research Unit, University of Palermo, Palermo 90144, Italy;2. University “eCampus”, Novedrate 22060, Italy;3. Faculty of Kinesiology, University of Split, Split 21000, Croatia;4. Athlete Health and Performance Research Centre, ASPETAR, Qatar Orthopaedic and Sports Medicine Hospital, Doha 29222, Qatar;5. Department of Biomedical Sciences (DSB), University of Padova, Padova 35131, Italy
Abstract:The aim of this study was to evaluate whether a mental training protocol could improve gymnastic jumping performance. Seventy-two rhythmic gymnasts were randomly divided into an experimental and control group. At baseline, experimental group completed the Movement Imagery Questionnaire Revised (MIQ-R) to assess the gymnast ability to generate movement imagery. A repeated measures design was used to compare two different types of training aimed at improving jumping performance: (a) video observation and PETTLEP mental training associated with physical practice, for the experimental group, and (b) physical practice alone for the control group. Before and after six weeks of training, their jumping performance was measured using the Hopping Test (HT), Drop Jump (DJ), and Counter Movement Jump (CMJ). Results revealed differences between jumping parameters F(1, 71) = 11.957; p < .01, and between groups F(1, 71) = 10.620; p < .01. In the experimental group there were significant correlations between imagery ability and the post-training Flight Time of the HT, r(34) = −.295, p < .05 and the DJ, r(34) = −.297, p < .05. The application of the protocol described herein was shown to improve jumping performance, thereby preserving the elite athlete’s energy for other tasks.
Keywords:Modeling  PETTLEP  Performance  Enhancement  Reactivity  Leg  Strength  Gymnasts
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