title: Lean body mass and leg power best predict bone mineral density in adolescent girls.
abstract: OBJECTIVE
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Bone Research Laboratory, Oregon State University, Corvallis 97331, USA.
authors.forename: K A
authors.initials: KA
authors.lastname: Witzke
authors.forename: C M
authors.initials: CM
authors.lastname: Snow
mesh_terms: D015502:Absorptiometry, Photon; D000273:Adipose Tissue / Q000033:anatomy & histology; D000293:Adolescent; D015308:Anaerobic Threshold / Q000502:physiology; D000886:Anthropometry; D001823:Body Composition / Q000502:physiology; D001827:Body Height / Q000502:physiology; D015992:Body Mass Index; D001835:Body Weight / Q000502:physiology; D015519:Bone Density; D003430:Cross-Sectional Studies; D005260:Female; D005269:Femur / Q000033:anatomy & histology; D005272:Femur Neck / Q000033:anatomy & histology; D005544:Forecasting; D006801:Humans; D007719:Knee Joint / Q000502:physiology; D007866:Leg / Q000502:physiology*; D008159:Lumbar Vertebrae / Q000033:anatomy & histology; D008572:Menarche; D008954:Models, Biological; D009119:Muscle Contraction / Q000502:physiology*; D018482:Muscle, Skeletal / Q000033:anatomy & histology* / Q000502:physiology; D012044:Regression Analysis; D013997:Time Factors