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Effect of Real-Time Feedback on Power Output Using a Novel Smart-Resisted Sled Push.
Goldman, Phillip; Pandit, Bilal; Gomez, David; Lu, Stevin; Mills, Cade; Kull, Nick; Ku, Richard; Aramie, Adrian; Kim, Alex; Alexandru, Anka; Hu, Jonathan; Neufeld, Eric V; Dolezal, Brett A.
  • Goldman P; Airway & UC Fit Digital Health - Exercise Physiology Research Laboratory, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
  • Pandit B; University of Colorado-Boulder, Boulder, CO, USA.
  • Gomez D; Airway & UC Fit Digital Health - Exercise Physiology Research Laboratory, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
  • Lu S; Airway & UC Fit Digital Health - Exercise Physiology Research Laboratory, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
  • Mills C; Airway & UC Fit Digital Health - Exercise Physiology Research Laboratory, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
  • Kull N; Airway & UC Fit Digital Health - Exercise Physiology Research Laboratory, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
  • Ku R; Airway & UC Fit Digital Health - Exercise Physiology Research Laboratory, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
  • Aramie A; Airway & UC Fit Digital Health - Exercise Physiology Research Laboratory, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
  • Kim A; Airway & UC Fit Digital Health - Exercise Physiology Research Laboratory, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
  • Alexandru A; Airway & UC Fit Digital Health - Exercise Physiology Research Laboratory, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
  • Hu J; Airway & UC Fit Digital Health - Exercise Physiology Research Laboratory, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
  • Neufeld EV; Airway & UC Fit Digital Health - Exercise Physiology Research Laboratory, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
  • Dolezal BA; Airway & UC Fit Digital Health - Exercise Physiology Research Laboratory, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
Int J Exerc Sci ; 15(6): 1578-1586, 2022.
Article en En | MEDLINE | ID: mdl-36582967
ABSTRACT
Prior studies have demonstrated the beneficial effects of real-time data feedback (RTF) on athletic performance and motivation. Despite this evidence, the lack of practical means to implement RTF has hindered its widespread adoption. Recently, a smart-resisted sled push was developed to improve athletic power by utilizing electromagnetic motors as a resistance mechanism, coupled with an RTF display. Thirty healthy college-aged male football players were recruited in this randomized, crossover designed study to examine the efficacy of the RTF to improve power output. Participants were randomized into either group 1 (receiving RTF first then no RTF) or group 2 (receiving no RTF first then RTF) during six, 10-meter sled pushes with 3 min rest intervals. The first three pushes were set to an easier level (L1) and the last three were set to a resistance level twice that of the first three runs (L2). A one-month washout period was enforced. For trials 1-3 (L1) (p = 0.026, t = -2.34, ES = -0.428) and 4-6 (L2) (p = 0.035, t = -2.22, ES = -0.405), peak power output (the average peak power output over the course of trials 1-3 and 4-6) was greater in both groups when receiving RTF compared to no-RTF. These findings demonstrate the effectiveness of RTF in augmenting power output during performance training.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Clinical_trials Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Clinical_trials Idioma: En Año: 2022 Tipo del documento: Article