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由肌肉大小和体重决定的桡骨和胫骨骨强度的部位特异性差异。

Site-specific variance in radius and tibia bone strength as determined by muscle size and body mass.

作者信息

Frank Andrew William, Labas Megan Crystal, Johnston James Duncan, Kontulainen Saija Annukka

机构信息

College of Kinesiology.

出版信息

Physiother Can. 2012 Summer;64(3):292-301. doi: 10.3138/ptc.2010-40BH.

Abstract

PURPOSE

To investigate the predictive ability of muscle cross-sectional area (MCSA) and body mass on bone mineral content, compressive bone strength index (BSIc), and the polar stress-strain index (SSIp) of the forearms and lower legs of middle-aged adults.

METHODS

A total of 53 healthy adults (37 male, 16 female; mean age 50.4; SD 2.1 y) were scanned with peripheral quantitative computed tomography (pQCT) to measure radius and tibia total and cortical bone mineral content, BSIc, SSIp, and forearm and lower-leg MCSA (BSIc: 4% distal; SSIp and MCSA at 65% and 66% radius and tibia shaft sites, respectively). Multiple regression models adjusted for sex and height were used to assess the relative variance in radius or tibia bone outcomes predicted by body mass and/or forearm or lower-leg MCSA.

RESULTS

Forearm MCSA independently predicted total bone-mineral content, BSIc, and SSIp in radius (r partial=0.59, 0.56, 0.42). Body mass was a negative predictor of radius BSIc (r partial=-0.32) and did not predict other radius outcomes when both body mass and MCSA were forced in the models. In the lower leg shaft, MCSA, and body mass predicted bone content and strength similarly when independently added to the models with sex and height.

CONCLUSIONS

Forearm MCSA was a dominant predictor of radius bone content and estimated strength. In the tibia, both body mass and lower-leg MCSA contributed to predicting bone content and estimated strength.

摘要

目的

研究肌肉横截面积(MCSA)和体重对中年成年人前臂和小腿骨矿物质含量、抗压骨强度指数(BSIc)以及极向应力应变指数(SSIp)的预测能力。

方法

对53名健康成年人(37名男性,16名女性;平均年龄50.4岁;标准差2.1岁)进行外周定量计算机断层扫描(pQCT),以测量桡骨和胫骨的总骨矿物质含量和皮质骨矿物质含量、BSIc、SSIp以及前臂和小腿的MCSA(BSIc:在远端4%处;SSIp和MCSA分别在桡骨和胫骨骨干的65%和66%处)。使用针对性别和身高进行调整的多元回归模型,评估由体重和/或前臂或小腿MCSA预测的桡骨或胫骨骨指标的相对方差。

结果

前臂MCSA独立预测桡骨的总骨矿物质含量、BSIc和SSIp(偏相关系数r分别为0.59、0.56、0.42)。体重是桡骨BSIc的负向预测指标(偏相关系数r = -0.32),当模型中同时纳入体重和MCSA时,体重不能预测桡骨的其他指标。在小腿骨干,当将MCSA和体重分别独立加入包含性别和身高的模型时,它们对骨含量和强度的预测作用相似。

结论

前臂MCSA是桡骨骨含量和估计强度的主要预测指标。在胫骨中,体重和小腿MCSA均有助于预测骨含量和估计强度。

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Muscle loss and bone loss: master and slave?肌肉流失与骨质流失:主与从?
Bone. 2010 Feb;46(2):272-3. doi: 10.1016/j.bone.2009.12.024. Epub 2010 Jan 4.

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