Associations between pQCT-based fat and muscle area and density and DXA-based total and leg soft tissue mass in healthy women and men
| Autor: | V D, Sherk, R S, Thiebaud, Z, Chen, M, Karabulut, S J, Kim, D A, Bemben |
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| Rok vydání: | 2014 |
| Předmět: |
musculoskeletal diseases
Adult Male Leg Sex Characteristics musculoskeletal neural and ocular physiology Muscles Middle Aged musculoskeletal system Article Young Adult Absorptiometry Photon Adipose Tissue Body Composition Image Processing Computer-Assisted Linear Models Humans Female Tomography X-Ray Computed human activities |
| Zdroj: | Journal of musculoskeletalneuronal interactions. 14(4) |
| ISSN: | 1108-7161 |
| Popis: | 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).To determine associations between pQCT-derived soft tissue density and area measures and DXA-derived soft tissue mass.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.Sex differences (p0.01) were found in both muscle (Mean±SE: Women: 78.6±0.4; Men: 79.9±0.2 mg/cm(3)) and fat (Women: 0.8±0.4 Men: 9.1±0.6 mg/cm(3)) density. BMI, fat density, and age (R(2)=0.86, p0.01) best accounted for the variability in total FM. FCSA, BMI, and fat density explained the variance in leg FM (R(2)=0.87, p0.01). MCSA and muscle density explained the variance in total (R(2)=0.65, p0.01) and leg BFLM (R(2)=0.70, p0.01).Calf muscle and fat area and density independently predict lean and fat tissue mass. |
| Databáze: | OpenAIRE |
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