Literature DB >> 19904555

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

Ryota Akagi1, Yohei Takai, Emika Kato, Taku Wakahara, Megumi Ohta, Hiroaki Kanehisa, Tetsuo Fukunaga, Yasuo Kawakami.   

Abstract

The present study examined the age-related changes in muscle thickness (MT) and volume (MV) of elbow flexors and developed a prediction equation of the MV based on the MT applicable to men and women with a wide range of age. The MT and MV were determined from a single ultrasonographic image and multiple magnetic resonance imaging scans, respectively, in 72 men and 75 women aged 19-77 year. As a result of examining the age-MT and age-MV relationships by calculation of partial correlation coefficients with the control variable of gender, MV was decreased with aging whereas the corresponding decline in MT was not significant. The subjects were randomly separated into either a validation (38 men and 42 women) or a cross-validation (34 men and 33 women) group, and a multiple regression equation to estimate MV using not only MT but also upper arm length (L), age and gender as independent variables [MV (cm(3)) = 60.8 x MT (cm) + 6.48 x L (cm) - 0.709 x age (year) + 51.4 x gender (0 women, 1 men) - 187.4] was validated and cross-validated. Thus, the prediction equation for MV of elbow flexors newly developed was shown to be applicable to men and women with a wide range of age.

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Year:  2009        PMID: 19904555     DOI: 10.1007/s00421-009-1269-1

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  19 in total

1.  Muscle volume is a major determinant of joint torque in humans.

Authors:  T Fukunaga; M Miyatani; M Tachi; M Kouzaki; Y Kawakami; H Kanehisa
Journal:  Acta Physiol Scand       Date:  2001-08

2.  Arm and leg composition determined by computed tomography in young and elderly men.

Authors:  C L Rice; D A Cunningham; D H Paterson; M S Lefcoe
Journal:  Clin Physiol       Date:  1989-06

3.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

4.  Muscle-fiber pennation angles are greater in hypertrophied than in normal muscles.

Authors:  Y Kawakami; T Abe; T Fukunaga
Journal:  J Appl Physiol (1985)       Date:  1993-06

5.  Cross-sectional areas of fat and muscle in limbs during growth and middle age.

Authors:  H Kanehisa; S Ikegawa; N Tsunoda; T Fukunaga
Journal:  Int J Sports Med       Date:  1994-10       Impact factor: 3.118

6.  Validity of ultrasonograph muscle thickness measurements for estimating muscle volume of knee extensors in humans.

Authors:  Masae Miyatani; Hiroaki Kanehisa; Shinya Kuno; Takahiko Nishijima; Tetsuo Fukunaga
Journal:  Eur J Appl Physiol       Date:  2002-01       Impact factor: 3.078

7.  The interrelationship among muscle mass, strength, and the ability to perform physical tasks of daily living in younger and older women.

Authors:  K A Landers; G R Hunter; C J Wetzstein; M M Bamman; R L Weinsier
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-10       Impact factor: 6.053

8.  Prediction and validation of total and regional skeletal muscle mass by ultrasound in Japanese adults.

Authors:  Kiyoshi Sanada; Charles F Kearns; Taishi Midorikawa; Takashi Abe
Journal:  Eur J Appl Physiol       Date:  2005-10-19       Impact factor: 3.078

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

Authors:  Ryota Akagi; Yohei Takai; Megumi Ohta; Hiroaki Kanehisa; Yasuo Kawakami; Tetsuo Fukunaga
Journal:  Age Ageing       Date:  2009-07-13       Impact factor: 10.668

10.  Age-related muscle atrophy does not affect all muscles and can partly be compensated by physical activity: an ultrasound study.

Authors:  C D Reimers; T Harder; H Saxe
Journal:  J Neurol Sci       Date:  1998-07-15       Impact factor: 3.181

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  8 in total

Review 1.  Morphological and functional relationships with ultrasound measured muscle thickness of the upper extremity and trunk.

Authors:  Takashi Abe; Jeremy P Loenneke; Robert S Thiebaud; Mark Loftin
Journal:  Ultrasound       Date:  2014-10-07

2.  A radiographic investigation of the relationships between humeral cortical bone thickness, medullary canal width and the supratrochlear aperture (STA).

Authors:  Robert Ndou; Sovana Maharaj; Lynne Alison Schepartz
Journal:  Surg Radiol Anat       Date:  2016-05-30       Impact factor: 1.246

3.  Validity of muscle thickness-based prediction equation for quadriceps femoris volume in middle-aged and older men and women.

Authors:  Miyuki Nakatani; Yohei Takai; Ryota Akagi; Taku Wakahara; Norihide Sugisaki; Megumi Ohta; Yasuo Kawakami; Tetsuo Fukunaga; Hiroaki Kanehisa
Journal:  Eur J Appl Physiol       Date:  2016-09-02       Impact factor: 3.078

4.  Sex-specific prediction of neck muscle volumes.

Authors:  Liying Zheng; Gunter Siegmund; Gulsum Ozyigit; Anita Vasavada
Journal:  J Biomech       Date:  2013-01-23       Impact factor: 2.712

5.  Age- and Level-Dependence of Fatty Infiltration in Lumbar Paravertebral Muscles of Healthy Volunteers.

Authors:  R J Crawford; L Filli; J M Elliott; D Nanz; M A Fischer; M Marcon; E J Ulbrich
Journal:  AJNR Am J Neuroradiol       Date:  2015-12-03       Impact factor: 3.825

6.  MRI-determined lumbar muscle morphometry in man and sheep: potential biomechanical implications for ovine model to human spine translation.

Authors:  Stephanie Valentin; Theresia F Licka; James Elliott
Journal:  J Anat       Date:  2015-07-21       Impact factor: 2.610

7.  Automatic Extraction of Muscle Parameters with Attention UNet in Ultrasonography.

Authors:  Sofoklis Katakis; Nikolaos Barotsis; Alexandros Kakotaritis; George Economou; Elias Panagiotopoulos; George Panayiotakis
Journal:  Sensors (Basel)       Date:  2022-07-13       Impact factor: 3.847

8.  Validity of ultrasonography-derived predictions for estimating skeletal muscle volume: a systematic literature review.

Authors:  Rasmus Liegnell; Fredrik Wessman; Adel Shalabi; Marita Harringe
Journal:  BMC Med Imaging       Date:  2021-07-05       Impact factor: 1.930

  8 in total

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