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绝经前和绝经后妇女的神经肌肉性能和体重作为骨负荷指标。

Neuromuscular performance and body mass as indices of bone loading in premenopausal and postmenopausal women.

机构信息

Department of Biology of Physical Activity, University of Jyväskylä, Finland.

出版信息

Bone. 2010 Apr;46(4):964-9. doi: 10.1016/j.bone.2010.01.002. Epub 2010 Jan 11.

Abstract

The strong association between body mass and skeletal robusticity has been attributed to increasing skeletal loading with increasing mass. However, it is unclear whether body mass is merely a coarse substitute for bone loading rather than a true independent predictor of bone strength. As indices of neuromuscular performance, impulse and peak power were determined from vertical ground reaction force during a maximal counter movement jump test in 221 premenopausal and 82 postmenopausal women. Bone compressive (BSI(d) g(2)/cm(4)) and bending (SSImax(mid) mm(3)) strength indices were measured with peripheral quantitative computed tomography (pQCT) at the distal ((d)) and midshaft ((mid)) sites of the tibia. A two-step forced regression model for predicting bone strength indices was constructed. Age, height and body mass were entered first, followed by impulse as an indicator of skeletal loading. The basic model explained 14% (P<0.001) of the variance in BSI(d) in the premenopausal group and 16% (P=0.004) in the postmenopausal group, and 32% (P<0.001) and 25% (P<0.001) of the variance in SSImax(nud) respectively. Entering impulse into the model increased the explanatory power by 9% (P<0.001) and 7% (P<0.001) for BSI(d) and by 8% (P<0.001) and 12% (P<0.001) for SSImax(mid). Furthermore, impulse replaced body mass as an independent significant factor explaining the variance in bone strength. These results indicate that neuromuscular performance should be measured and preferred over body mass in models predicting skeletal robusticity.

摘要

体重与骨骼粗壮度之间存在很强的关联,这归因于随着体重的增加,骨骼承受的负荷也随之增加。然而,目前尚不清楚体重是否只是骨骼负荷的粗略替代指标,而不是骨骼强度的真正独立预测指标。

在 221 名绝经前和 82 名绝经后女性中,我们通过最大反冲跳跃测试中的垂直地面反力来确定神经肌肉性能的指标,即冲量和峰值功率。使用外周定量计算机断层扫描(pQCT)在胫骨远端(d)和中段(mid)部位测量骨压缩(BSI(d) g(2)/cm(4))和弯曲(SSImax(mid) mm(3))强度指数。构建了一个两步强制回归模型来预测骨强度指数。首先输入年龄、身高和体重,然后输入冲量作为骨骼负荷的指标。基本模型解释了绝经前组 BSI(d) 方差的 14%(P<0.001)和绝经后组的 16%(P=0.004),以及 SSImax(nud) 方差的 32%(P<0.001)和 25%(P<0.001)。将冲量输入模型可使 BSI(d) 的解释能力提高 9%(P<0.001)和 7%(P<0.001),使 SSImax(mid) 的解释能力提高 8%(P<0.001)和 12%(P<0.001)。此外,冲量取代了体重,成为解释骨骼粗壮度方差的独立重要因素。这些结果表明,在预测骨骼粗壮度的模型中,应该测量神经肌肉性能并优先考虑,而不是体重。

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