Lean Mass Predicts Hip Geometry in Men and Women With Non-Insulin-Requiring Type 2 Diabetes Mellitus

Kendall F. Moseley, Devon A. Dobrosielski, Kerry J. Stewart, Deborah E. Sellmeyer, Suzanne M. Jan De Beur

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


Persons with type 2 diabetes mellitus (T2DM) are at increased risk for hip fracture despite normal bone mineral density (BMD). The contribution of body composition to hip geometry, a measure of hip strength, has not been studied in T2DM. We hypothesized that lean mass would predict hip geometry. Subjects (n=134) for this cross-sectional analysis were men and women aged 56±6yr with non-insulin-requiring T2DM. Fat and lean mass were measured with dual-energy X-ray absorptiometry (DXA). Abdominal fat was measured with magnetic resonance imaging. Hip geometry parameters including section modulus, cross-sectional area, and buckling ratio were estimated from DXA using validated formulae. Subjects had normal BMD, elevated body mass indices (29-41kg/m2), and controlled T2DM (hemoglobin A1c: 5.1-8.3%). In bivariate analysis, lean mass was positively associated with section modulus and cross-sectional area in both sexes (r=0.36-0.55, p<0.05). In multivariate analyses, lean mass remained a significant predictor of all hip strength estimates in both sexes. In women alone, fat mass predicted parameters of hip strength. These data demonstrate that lean mass is significantly associated with hip strength in subjects with non-insulin-requiring T2DM. Resistance exercises that build lean mass may be an intervention for hip fracture prevention in T2DM, although additional research is needed.

Original languageEnglish (US)
Pages (from-to)332-339
Number of pages8
JournalJournal of Clinical Densitometry
Issue number3
StatePublished - Jul 2011


  • Body composition
  • Bone density
  • Hip geometry
  • Type 2 diabetes

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Orthopedics and Sports Medicine
  • Radiology Nuclear Medicine and imaging


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