Associations between pQCT-based fat and muscle area and density and DXA-based total and leg soft tissue mass in healthy women and men

V. D. Sherk, R. S. Thiebaud, Z. Chen, M. Karabulut, S. J. Kim, D. A. Bemben

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Peripheral Quantitative Computed Tomography (pQCT) can be used for muscle and fat area and density assessments. These may independently influence muscle and fat mass measurements from Dual Energy X-ray Absorptiometry (DXA). Objective: To determine associations between pQCT-derived soft tissue density and area measures and DXA-derived soft tissue mass. Methods: Linear regression models were developed based on BMI and calf fat and muscle cross-sectional area (FCSA and MCSA) and density measured by pQCT in healthy women (n=76) and men (n=82) aged 20-59 years. Independent variables for these models were leg and total bone-free lean mass (BFLM) and fat mass (FM) measured by DXA. Results: Sex differences (p<0.01) were found in both muscle (Mean±SE: Women: 78.6±0.4; Men: 79.9±0.2 mg/cm3) and fat (Women: 0.8±0.4 Men: 9.1±0.6 mg/cm3) density. BMI, fat density, and age (R2=0.86, p<0.01) best accounted for the variability in total FM. FCSA, BMI, and fat density explained the variance in leg FM (R2=0.87, p<0.01). MCSA and muscle density explained the variance in total (R2=0.65, p<0.01) and leg BFLM (R2=0.70, p<0.01). Conclusion: Calf muscle and fat area and density independently predict lean and fat tissue mass.

Original languageEnglish (US)
Pages (from-to)411-417
Number of pages7
JournalJournal of Musculoskeletal Neuronal Interactions
Volume14
Issue number4
StatePublished - Dec 1 2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Endocrinology, Diabetes and Metabolism
  • Physiology
  • Orthopedics and Sports Medicine

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