Nguyen Huy G, Pham Minh Td, Ho-Pham Lan T, Nguyen Tuan V
Bone and Muscle Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
Osteoporos Sarcopenia. 2020 Dec;6(4):212-216. doi: 10.1016/j.afos.2020.10.001. Epub 2020 Nov 6.
The association between body composition parameters and peak bone mineral density is not well documented. The aim of this study is to assess the relative contributions of lean mass and fat mass on peak bone mineral density (BMD).
The study involved 416 women and 334 men aged between 20 and 30 years who were participants in the population-based Vietnam Osteoporosis Study. Whole body composition parameters (eg, fat mass and lean mass) and BMD at the lumbar spine and femoral neck were measured by dual-energy X-ray absorptiometry. The association between lean mass and fat mass and BMD was analyzed by the linear regression model using the Least Absolute Shrinkage and Selection Operator (LASSO).
Peak BMD in men was higher than women, and the difference was more pronounced at the femoral neck (average difference: 0.123 g/cm; 95% confidence interval [CI] 0.105-0.141 g/cm) than at the lumbar spine (average difference 0.019 g/cm; 95% CI, 0.005-0.036 g/cm). Results of LASSO regression indicated that lean mass was the only predictor of BMD for either men or women. Each kilogram increase in lean mass was associated with ∼0.01 g/cm increase in BMD. Lean mass alone explained 16% and 36% of variation in lumbar spine and femoral neck BMD, respectively.
Lean mass, not fat mass, is the main determinant of peak bone mineral density. This finding implies that good physical activity during adulthood can contribute to the maximization of peak bone mass during adulthood.
身体成分参数与峰值骨密度之间的关联尚无充分记录。本研究旨在评估瘦体重和脂肪量对峰值骨密度(BMD)的相对贡献。
该研究纳入了416名年龄在20至30岁之间的女性和334名男性,他们均为基于人群的越南骨质疏松症研究的参与者。通过双能X线吸收法测量全身成分参数(如脂肪量和瘦体重)以及腰椎和股骨颈的骨密度。使用最小绝对收缩和选择算子(LASSO)通过线性回归模型分析瘦体重、脂肪量与骨密度之间的关联。
男性的峰值骨密度高于女性,且这种差异在股骨颈处(平均差异:0.123g/cm;95%置信区间[CI]0.105 - 0.141g/cm)比在腰椎处(平均差异0.019g/cm;95%CI,0.005 - 0.036g/cm)更为明显。LASSO回归结果表明,瘦体重是男性和女性骨密度的唯一预测因素。瘦体重每增加1千克,骨密度约增加0.01g/cm。仅瘦体重就分别解释了腰椎和股骨颈骨密度变化的16%和36%。
瘦体重而非脂肪量是峰值骨密度 的主要决定因素。这一发现意味着成年期良好的身体活动有助于成年期峰值骨量最大化。