Literature DB >> 19596739

Muscle volume compared to cross-sectional area is more appropriate for evaluating muscle strength in young and elderly individuals.

Ryota Akagi1, Yohei Takai, Megumi Ohta, Hiroaki Kanehisa, Yasuo Kawakami, Tetsuo Fukunaga.   

Abstract

OBJECTIVE: the present study examined which of muscle volume (MV) and cross-sectional area (CSA) is appropriate for evaluating the relation with elbow flexor muscle strength in young and elderly individuals.
METHODS: the subjects were 52 young (20-34 year; 30 men and 22 women) and 51 elderly individuals (60-77 year, 19 men and 32 women). The MV and maximal anatomical CSA (ACSA) of elbow flexors were determined by magnetic resonance imaging. The torque developed during maximal voluntary contraction of isometric elbow joint flexion was converted to force by dividing it by the forearm length of each subject.
RESULTS: torque was significantly correlated with MV in young and elderly individuals (r = 0.564-0.926). Similarly, force was also significantly correlated with ACSA in each of them (r = 0.637-0.906). However, the y-intercepts of the regression lines for the ACSA-force relationship in young men and women were significantly higher than zero. There was no age effect on torque per MV, whereas force per ACSA was significantly higher in young adults than in elderly individuals.
CONCLUSION: for elbow flexors, MV compared to ACSA is appropriate for evaluating the size-strength relationship and the existence of age-related difference in muscle strength per size.

Entities:  

Mesh:

Year:  2009        PMID: 19596739     DOI: 10.1093/ageing/afp122

Source DB:  PubMed          Journal:  Age Ageing        ISSN: 0002-0729            Impact factor:   10.668


  39 in total

1.  Correlation between single-slice muscle anatomical cross-sectional area and muscle volume in thigh extensors, flexors and adductors of perimenopausal women.

Authors:  S Cotofana; M Hudelmaier; W Wirth; M Himmer; S Ring-Dimitriou; A M Sänger; F Eckstein
Journal:  Eur J Appl Physiol       Date:  2010-04-18       Impact factor: 3.078

2.  Multi-atlas-based fully automatic segmentation of individual muscles in rat leg.

Authors:  Michael Sdika; Anne Tonson; Yann Le Fur; Patrick J Cozzone; David Bendahan
Journal:  MAGMA       Date:  2015-12-08       Impact factor: 2.310

3.  Differential changes in muscle architecture and neuromuscular fatigability induced by isometric resistance training at short and long muscle-tendon unit lengths.

Authors:  Ryota Akagi; Avery Hinks; Geoffrey A Power
Journal:  J Appl Physiol (1985)       Date:  2020-06-18

4.  Muscle strength and its relationship with skeletal muscle mass indices as determined by segmental bio-impedance analysis.

Authors:  Omid Alizadehkhaiyat; David H Hawkes; Graham J Kemp; Anthony Howard; Simon P Frostick
Journal:  Eur J Appl Physiol       Date:  2013-11-01       Impact factor: 3.078

5.  Knee extensor strength is associated with Mini-Mental State Examination scores in elderly men.

Authors:  Hiroki Nakamoto; Yasuhide Yoshitake; Yohei Takai; Hiroaki Kanehisa; Takahiro Kitamura; Masashi Kawanishi; Shiro Mori
Journal:  Eur J Appl Physiol       Date:  2011-09-20       Impact factor: 3.078

6.  Electrical stimulation increases hypertrophy and metabolic flux in tissue-engineered human skeletal muscle.

Authors:  Alastair Khodabukus; Lauran Madden; Neel K Prabhu; Timothy R Koves; Christopher P Jackman; Deborah M Muoio; Nenad Bursac
Journal:  Biomaterials       Date:  2018-08-31       Impact factor: 12.479

Review 7.  Imaging of the muscle-bone relationship.

Authors:  Alex Ireland; José Luis Ferretti; Jörn Rittweger
Journal:  Curr Osteoporos Rep       Date:  2014-12       Impact factor: 5.096

8.  [More muscle mass in men: explanatory model for superior outcome after total hip arthroplasty].

Authors:  B Preininger; K Schmorl; P von Roth; T Winkler; G Matziolis; C Perka; S Tohtz
Journal:  Orthopade       Date:  2013-02       Impact factor: 1.087

9.  Development of an equation to predict muscle volume of elbow flexors for men and women with a wide range of age.

Authors:  Ryota Akagi; Yohei Takai; Emika Kato; Taku Wakahara; Megumi Ohta; Hiroaki Kanehisa; Tetsuo Fukunaga; Yasuo Kawakami
Journal:  Eur J Appl Physiol       Date:  2009-11-11       Impact factor: 3.078

10.  Muscle volume as a predictor of maximum force generating ability in the plantar flexors post-stroke.

Authors:  Brian A Knarr; John W Ramsay; Thomas S Buchanan; Jill S Higginson; Stuart A Binder-Macleod
Journal:  Muscle Nerve       Date:  2013-09-11       Impact factor: 3.217

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