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Prediction of muscle fiber composition using multiple repetition testing.
Hall, Elliott C R; Lysenko, Evgeny A; Semenova, Ekaterina A; Borisov, Oleg V; Andryushchenko, Oleg N; Andryushchenko, Liliya B; Vepkhvadze, Tatiana F; Lednev, Egor M; Zmijewski, Piotr; Popov, Daniil V; Generozov, Edward V; Ahmetov, Ildus I.
Afiliación
  • Hall ECR; Department of Sport and Exercise Sciences, Manchester Metropolitan University, Manchester, United Kingdom.
  • Lysenko EA; Laboratory of Exercise Physiology, Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia.
  • Semenova EA; Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.
  • Borisov OV; Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.
  • Andryushchenko ON; Institute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Bonn, Germany.
  • Andryushchenko LB; Department of Physical Education, Financial University under the Government of the Russian Federation, Moscow, Russia.
  • Vepkhvadze TF; Department of Physical Education, Plekhanov Russian University of Economics, Moscow, Russia.
  • Lednev EM; Laboratory of Exercise Physiology, Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia.
  • Zmijewski P; Laboratory of Exercise Physiology, Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia.
  • Popov DV; Institute of Sport - National Research Institute, Warsaw, Poland.
  • Generozov EV; Laboratory of Exercise Physiology, Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia.
  • Ahmetov II; Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.
Biol Sport ; 38(2): 277-283, 2021 Jun.
Article en En | MEDLINE | ID: mdl-34079173
ABSTRACT
Direct determination of muscle fiber composition is invasive and expensive, with indirect methods also requiring specialist resources and expertise. Performing resistance exercises at 80% 1RM is suggested as a means of indirectly estimating muscle fiber composition, though this hypothesis has never been validated against a direct method. The aim of the study was to investigate the relationship between the number of completed repetitions at 80% 1RM of back squat exercise and muscle fiber composition. Thirty recreationally active participants' (10 females, 20 males) 1RM back squat load was determined, before the number of consecutive repetitions at 80% 1RM was recorded. The relationship between the number of repetitions and the percentage of fast-twitch fibers from vastus lateralis was investigated. The number of completed repetitions ranged from 5 to 15 and was independent of sex, age, 1RM, training frequency, training type, training experience, BMI or muscle fiber cross-sectional area. The percentage of fast-twitch muscle fibers was inversely correlated with the number of repetitions completed (r = -0.38, P = 0.039). Participants achieving 5 to 8 repetitions (n = 10) had significantly more fast-twitch muscle fibers (57.5 ± 9.5 vs 44.4 ± 11.9%, P = 0.013) than those achieving 11-15 repetitions (n = 11). The remaining participants achieved 9 or 10 repetitions (n = 9) and on average had equal proportion of fast- and slow-twitch muscle fibers. In conclusion, the number of completed repetitions at 80% of 1RM is moderately correlated with muscle fiber composition.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biol Sport Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biol Sport Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido