New ultrasonography-based method for predicting total skeletal muscle mass in male athletes.

Yoko Toda, Tetsuya Kimura, Chinami Taki, Toshiyuki Kurihara, Toshiyuki Homma, Takafumi Hamaoka, Kiyoshi Sanada
Author Information
  1. Yoko Toda: Faculty of Food Science and Nutrition, Mukogawa Women's University, Japan.
  2. Tetsuya Kimura: Graduate School of Human Development and Environment, Kobe University, Japan.
  3. Chinami Taki: Graduate School of Human Development and Environment, Kobe University, Japan.
  4. Toshiyuki Kurihara: Graduate School of Sport and Health Science, Ritsumeikan University, Japan.
  5. Toshiyuki Homma: Department of Sports Science, Faculty of Sports and Health Science, Daito Bunka University, Japan.
  6. Takafumi Hamaoka: Department of Sports Medicine for Health Promotion, Tokyo Medical University, Japan.
  7. Kiyoshi Sanada: Graduate School of Sport and Health Science, Ritsumeikan University, Japan.

Abstract

[Purpose] This study aimed 1) to assess whether a prediction model for whole body skeletal muscle mass that is based on a sedentary population is applicable to young male athletes, and 2) to develop a new skeletal muscle mass prediction model for young male athletes. [Subjects and Methods] The skeletal muscle mass of 61 male athletes was measured using magnetic resonance imaging (MRI) and estimated using a previous prediction model (Sanada et al., 2006) with B-mode ultrasonography. The prediction model was not suitable for young male athletes, as a significant difference was observed between the means of the estimated and MRI-measured skeletal muscle mass. Next, the same subjects were randomly assigned to a development or validation group, and a new model specifically relevant to young male athletes was developed based on MRI and ultrasound data obtained from the development group. [Results] A strong correlation was observed between the skeletal muscle mass estimated by the new model and the MRI-measured skeletal muscle mass (r=0.96) in the validation group, without significant difference between their means. No bias was found in the new model using Bland-Altman analysis (r=-0.25). [Conclusion] These results validate the new model and suggest that ultrasonography is a reliable method for measuring skeletal muscle mass in young male athletes.

Keywords

References

  1. Am J Clin Nutr. 2000 Sep;72(3):796-803 [PMID: 10966902]
  2. Can J Appl Physiol. 2001 Feb;26(1):102-22 [PMID: 11173672]
  3. Eur J Appl Physiol. 2001 Aug;85(3-4):240-3 [PMID: 11560076]
  4. J Sports Med Phys Fitness. 2005 Mar;45(1):77-83 [PMID: 16208294]
  5. Eur J Appl Physiol. 2006 Jan;96(1):24-31 [PMID: 16235068]
  6. Br J Nutr. 2009 Jan;101(1):72-8 [PMID: 18768102]
  7. J Phys Ther Sci. 2013 Jun;25(6):681-3 [PMID: 24259828]
  8. Ultrasound Med Biol. 2015 Feb;41(2):557-64 [PMID: 25444689]
  9. J Phys Ther Sci. 2015 Jul;27(7):2147-9 [PMID: 26311942]
  10. Am J Hum Biol. 1994;6(2):161-170 [PMID: 28548275]
  11. Lancet. 1986 Apr 19;1(8486):908-9 [PMID: 2870372]
  12. Eur J Appl Physiol Occup Physiol. 1998 Jul;78(2):109-14 [PMID: 9694308]

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