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Reference charts for the relationships between dual-energy X-ray absorptiometry-assessed bone mineral content and lean mass in 3,063 healthy men and premenopausal and postmenopausal women
Authors:Carlos Cure-Cure  Ricardo F. Capozza  Gustavo R. Cointry  Margarita Meta  Pablo Cure-Ramírez  José L. Ferretti
Affiliation:(1) Universidad Metropolitana de Barranquilla and Osteolab, Barranquilla, Colombia;(2) Center of P-Ca Metabolism Studies (CEMFoC), National University of Rosario, Juan B. Justo 1427, 2000 Rosario, Argentina;(3) Department of Radiology, University of California San Francisco, San Francisco, California, USA
Abstract:Correlations between dual-energy X-ray absorptiometry (DXA)-assessed bone mineral content and lean mass (BMC-LM curves), and between BMC/LM ratio and age ([BMC/LM]–age curves), were analyzed in the whole body (WB), the upper limbs (ULs) and the lower limbs (LLs) of 3,063 healthy Hispanic adults. Groups of 472 men aged 25–87years, 1,035 premenopausal (pre-MP) women aged 27–54 years, and 1,556 post-menopausal (post-MP) women aged 48–93 years were studied with a GE-Lunar DPX-Plus device. BMC-LM curves confirmed previous observations that BMC and LM masses always correlate linearly, with similar slopes within each region, but differing in intercepts according to gender and hormonal status. Multiple regression tests showed little or no independent interaction of body weight or height with those relationships. [BMC/LM]–age curves were flat in men but showed the positive influence of estrogens throughout the age range in women. Z-scored graphs of all the corresponding relationships were compiled, showing the confidence intervals for means ±1, ±2, and ±3 SDs of the data (±1, ±2, ±3 z-scores) along BMC-LM and [BMC/LM]–age curves. These charts are proposed as references for assessing how well bone mass (as assessed by BMC) and muscle mass (assumed proportional to LM) follow the natural anthropometric/biomechanical proportionality in Hispanic men and women within the age range studied, employing similar devices. Charts for LLs, showing the lowest variance amongst the studied correlations and approaching the origin as an exclusive feature, could provide the most accurate reference curves. Differences between data from ULs and LLs may provide information about any eventual interaction of body-weight bearing with the general results. The proposed analysis may provide useful information for approaching a differential diagnosis between disuse-related and other types of osteopenias employing only DXA.
Keywords:Body composition  Bone densitometry  Bone mass  Lean mass  Muscle-bone interactions  Osteopenia
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