Estimation of 1RM for knee extension based on the maximal isometric muscle strength and body composition
| Autor: | Shigeo Tanabe, Soichiro Koyama, Hiroaki Sakurai, Yoshito Sugiura, Tomoaki Arai, Yoshikiyo Kanada |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
030506 rehabilitation
Dynamometer business.industry 1RM Physical Therapy Sports Therapy and Rehabilitation Regression analysis 030229 sport sciences Isometric exercise Knee extension Composition (combinatorics) Muscle mass Maximal isometric muscle strength Regression 03 medical and health sciences 0302 clinical medicine Muscle strength Medicine Original Article 0305 other medical science business Biomedical engineering |
| Zdroj: | Journal of Physical Therapy Science |
| ISSN: | 2187-5626 0915-5287 |
| Popis: | [Purpose] To create a regression formula in order to estimate 1RM for knee extensors, based on the maximal isometric muscle strength measured using a hand-held dynamometer and data regarding the body composition. [Subjects and Methods] Measurement was performed in 21 healthy males in their twenties to thirties. Single regression analysis was performed, with measurement values representing 1RM and the maximal isometric muscle strength as dependent and independent variables, respectively. Furthermore, multiple regression analysis was performed, with data regarding the body composition incorporated as another independent variable, in addition to the maximal isometric muscle strength. [Results] Through single regression analysis with the maximal isometric muscle strength as an independent variable, the following regression formula was created: 1RM (kg)=0.714 + 0.783 × maximal isometric muscle strength (kgf). On multiple regression analysis, only the total muscle mass was extracted. [Conclusion] A highly accurate regression formula to estimate 1RM was created based on both the maximal isometric muscle strength and body composition. Using a hand-held dynamometer and body composition analyzer, it was possible to measure these items in a short time, and obtain clinically useful results. |
| Databáze: | OpenAIRE |
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