Association between bone mineral density (DXA), body structure, and body composition in middle-aged men

Am J Hum Biol. 2002 Nov-Dec;14(6):735-42. doi: 10.1002/ajhb.10090.

Abstract

The association between bone mass, body structure, and body composition was explored in 156 men, 40 years of AGE. Bone mineral density (total body, lumbar spine, left arm, and left leg) was obtained by dual-energy X-ray absorptiometry (DXA; Hologic QDR 4500A). Body structure was determined from a battery of anthropometric dimensions with a principal components analysis. Body composition was estimated with DXA. From the 24 anthropometric dimensions, three components were extracted and identified as muscle, fat, and skeletal length. Significant correlations between the muscle component and all BMD measurements (r = 0.28-0.44) were obtained. Except for BMD of the left arm, which correlated significantly, but negatively, with the fat component (r = -0.16), no significant relations were found between the fat component and BMD. There were significant correlations between lean mass, fat mass, and BMD measurements. The correlations were higher between lean mass and BMD (r = 0.22-0.44) than between fat mass and BMD (r = 0.08-0.24). The multiple regression analysis revealed that except for BMD of the left arm only lean mass or the muscle component, and not fat mass or the fat component, were independent predictors of BMD. It is concluded that the principal anthropometric determinant of BMD in middle-aged men is lean mass or muscle.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Absorptiometry, Photon
  • Adult
  • Anthropometry
  • Belgium
  • Body Composition / physiology*
  • Body Constitution / physiology*
  • Body Mass Index
  • Bone Density / physiology*
  • Humans
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Osteoporosis / etiology*
  • Osteoporosis / physiopathology
  • Predictive Value of Tests
  • Probability
  • Regression Analysis
  • Risk Assessment
  • Sampling Studies