Literature DB >> 14962806

The relationship between muscle size and bone geometry during growth and in response to exercise.

R M Daly1, L Saxon, C H Turner, A G Robling, S L Bass.   

Abstract

As muscles become larger and stronger during growth and in response to increased loading, bones should adapt by adding mass, size, and strength. In this unilateral model, we tested the hypothesis that (1) the relationship between muscle size and bone mass and geometry (nonplaying arm) would not change during different stages of puberty and (2) exercise would not alter the relationship between muscle and bone, that is, additional loading would result in a similar unit increment in both muscle and bone mass, bone size, and bending strength during growth. We studied 47 competitive female tennis players aged 8-17 years. Total, cortical, and medullary cross-sectional areas, muscle area, and the polar second moment of area (I(p)) were calculated in the playing and nonplaying arms using magnetic resonance imaging (MRI); BMC was assessed by DXA. Growth effects: In the nonplaying arm in pre-, peri- and post-pubertal players, muscle area was linearly associated BMC, total and cortical area, and I(p) (r = 0.56-0.81, P < 0.09 to < 0.001), independent of age. No detectable differences were found between pubertal groups for the slope of the relationship between muscle and bone traits. Post-pubertal players, however, had a higher BMC and cortical area relative to muscle area (i.e., higher intercept) than pre- and peri-pubertal players (P < 0.05 to < 0.01), independent of age; pre- and peri-pubertal players had a greater medullary area relative to muscle area than post-pubertal players (P < 0.05 to < 0.01). Exercise effects: Comparison of the side-to-side differences revealed that muscle and bone traits were 6-13% greater in the playing arm in pre-pubertal players, and did not increase with advancing maturation. In all players, the percent (and absolute) side-to-side differences in muscle area were positively correlated with the percent (and absolute) differences in BMC, total and cortical area, and I(p) (r = 0.36-0.40, P < 0.05 to < 0.001). However, the side-to-side differences in muscle area only accounted for 11.8-15.9% of the variance of the differences in bone mass, bone size, and bending strength. This suggests that other factors associated with loading distinct from muscle size itself contributed to the bones adaptive response during growth. Therefore, the unifying hypothesis that larger muscles induced by exercise led to a proportional increase in bone mass, bone size, and bending strength appears to be simplistic and denies the influence of other factors in the development of bone mass and bone shape.

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Mesh:

Year:  2004        PMID: 14962806     DOI: 10.1016/j.bone.2003.11.009

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  46 in total

1.  Bone and lean mass inter-arm asymmetries in young male tennis players depend on training frequency.

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2.  Morphological variation in dentate and edentulous human mandibles.

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Review 3.  Bone mass acquisition in healthy children.

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4.  Low bone mineral density is two to three times more prevalent in non-athletic premenopausal women than in elite athletes: a comprehensive controlled study.

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Journal:  Br J Sports Med       Date:  2005-05       Impact factor: 13.800

5.  Muscular development and physical activity as major determinants of femoral bone mass acquisition during growth.

Authors:  G Vicente-Rodriguez; I Ara; J Perez-Gomez; C Dorado; J A L Calbet
Journal:  Br J Sports Med       Date:  2005-09       Impact factor: 13.800

Review 6.  How does exercise affect bone development during growth?

Authors:  German Vicente-Rodríguez
Journal:  Sports Med       Date:  2006       Impact factor: 11.136

7.  Effects of a daily school based physical activity intervention program on muscle development in prepubertal girls.

Authors:  Susanna Stenevi-Lundgren; Robin M Daly; Christian Lindén; Per Gärdsell; Magnus K Karlsson
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8.  Does lean tissue mass accrual during adolescence influence bone structural strength at the proximal femur in young adulthood?

Authors:  S A Jackowski; J L Lanovaz; C Van Oort; A D G Baxter-Jones
Journal:  Osteoporos Int       Date:  2013-12-11       Impact factor: 4.507

9.  Site-specific variance in radius and tibia bone strength as determined by muscle size and body mass.

Authors:  Andrew William Frank; Megan Crystal Labas; James Duncan Johnston; Saija Annukka Kontulainen
Journal:  Physiother Can       Date:  2012       Impact factor: 1.037

10.  Bone loss from high repetitive high force loading is prevented by ibuprofen treatment.

Authors:  N X Jain; A E Barr-Gillespie; B D Clark; D M Kietrys; C K Wade; J Litvin; S N Popoff; M F Barbe
Journal:  J Musculoskelet Neuronal Interact       Date:  2014-03       Impact factor: 2.041

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