Literature DB >> 10589857

Lean body mass and leg power best predict bone mineral density in adolescent girls.

K A Witzke1, C M Snow.   

Abstract

PURPOSE: We evaluated anthropometric and performance measures that best predict bone mineral density (BMD) and bone mineral content (BMC) in 54 adolescent girls (14.6 +/- 0.5 yr; 22.7 +/- 14.0 months past menarche).
METHODS: Whole body, femoral neck, greater trochanter, lumbar spine (L2-L4), and mid-femoral shaft BMD and BMC, and whole body bone-free lean mass and fat mass were assessed using DXA (Hologic QDR 1000/W). Knee extensor strength and leg power were assessed by isokinetic dynamometry and the Wingate Anaerobic Power Test, respectively.
RESULTS: Whole body lean mass was correlated with BMD at all bone sites (r = 0.45-0.77; P < 0.001) and was more highly correlated with bone at all sites than was body weight. Leg power was also associated with BMD at all sites (r = 0.41-0.67; P < 0.001), whereas leg strength correlated significantly with all sites (r = 0.41-0.53; P < 0.001) except the lumbar spine. Stepwise regression analyses revealed that 59% of the variance in whole body BMD was predicted by lean mass alone. No other variables, including fat mass, height, months past menarche, leg power, or leg strength, contributed additionally to the regression model. Similarly, lean mass was the only predictor of lumbar spine and femoral shaft BMD (R2 = 0.25, R2 = 0.37, respectively), while femoral neck and trochanteric BMD were best predicted by leg power (R2 = 0.38, R2 = 0.36, respectively). Similar but stronger models emerged using BMC as the outcome, with lean mass and leg power explaining the most variance in BMC values.
CONCLUSION: In this group of adolescent girls, lean body mass and leg power best predicted BMC and BMD of the whole body, lumbar spine, femoral shaft, and hip, which may suggest an important role for muscle mass development during growth to maximize peak bone density.

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Year:  1999        PMID: 10589857     DOI: 10.1097/00005768-199911000-00010

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  16 in total

1.  Body composition and bone mineral density in childhood.

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2.  Relationship between Bone Mineral Density and Spinal Muscle Area in Magnetic Resonance Imaging.

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Authors:  Emily D Joyce; Vikki G Nolan; Kirsten K Ness; Robert J Ferry; Leslie L Robison; Ching-Hon Pui; Melissa M Hudson; Sue C Kaste
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5.  The longitudinal effects of physical activity and dietary calcium on bone mass accrual across stages of pubertal development.

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6.  Lower extremity strength and hopping and jumping ground reaction forces in children with neurofibromatosis type 1.

Authors:  Barbara A Johnson; Bruce Macwilliams; John C Carey; David H Viskochil; Jacques L D'Astous; David A Stevenson
Journal:  Hum Mov Sci       Date:  2011-09-08       Impact factor: 2.161

7.  Effects of pubertal development, height, weight, and grip strength on the bone mineral density of the lumbar spine and hip in peripubertal Japanese children: Kyoto kids increase density in the skeleton study (Kyoto KIDS study).

Authors:  Hiroshi Naka; Masayuki Iki; Akemi Morita; Yukihiro Ikeda
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8.  Contribution of fat-free mass and fat mass to bone mineral density among reproductive-aged women of white, black, and Hispanic race/ethnicity.

Authors:  Abbey B Berenson; Carmen Radecki Breitkopf; Jennifer L Newman; Mahbubur Rahman
Journal:  J Clin Densitom       Date:  2009-03-14       Impact factor: 2.617

9.  Relative importance of lean and fat mass on bone mineral density in a group of adolescent girls and boys.

Authors:  Rawad Philippe El Hage; Daniel Courteix; Claude-Laurent Benhamou; Christophe Jacob; Christelle Jaffré
Journal:  Eur J Appl Physiol       Date:  2008-12-19       Impact factor: 3.078

10.  Impact exercise increases BMC during growth: an 8-year longitudinal study.

Authors:  Katherine Gunter; Adam Dg Baxter-Jones; Robert L Mirwald; Hawley Almstedt; Robyn K Fuchs; Shantel Durski; Christine Snow
Journal:  J Bone Miner Res       Date:  2008-07       Impact factor: 6.741

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