Thigh muscle volume predicted by anthropometric measurements and correlated with physical function in the older adults
Thigh muscle volume predicted by anthropometric measurements and correlated with physical function in the older adults
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DOI：
10.1007/s12603-010-0281-9
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发表时间：
2011-06-01
影响因子：
5.8
通讯作者：
Chen, C. -Y.
中科院分区：
文献类型：
--
作者：
Chen, B. -B.;Shih, T. T. F.;Chen, C. -Y.
1)将磁共振成像(MRI)测量的大腿肌肉体积与人体测量值和身体机能进行相关性分析；2)通过人体测量和生理功能状态预测老年受试者的大腿肌肉体积。横断面、非随机研究。在台湾门诊，69名65岁及以上的老年受试者(男33人，女36人)，测量人体测量数据(包括身高、体重、腰围和股围)、身体活动和功能(包括握力、双侧股四头肌肌力、起立和步行时间)和生物电阻抗分析数据(包括身体总脂肪质量、脱脂质量和预测肌肉大小)。以MRI测量的双侧大腿肌肉体积作为参考标准，MRI测量的大腿体积与所有人体测量学数据、股四头肌肌力、起跳试验、无脂肪质量和预测肌肉质量呈正相关，而与年龄和步行时间呈负相关。在预测大腿肌肉体积时，年龄、性别、体重和股围是线性回归模型中的显著预测变量：肌肉体积(cm(3))=4226.3-42.5x年龄(岁)-955.7x性别(男1，女2)+45.9 x体重(Kg)+60.0x股围(Cm)(r(2)=0.745，P<；0.001；估计值的标准差=581.6 cm(3))。我们还开发了一个使用人体测量数据的预测方程模型。该模型是一种简单、非侵入性的日常临床实践和随访方法。
1) to correlate thigh muscle volume measured by magnetic resonance image (MRI) with anthropometric measurements and physical function in elderly subjects; 2) to predict MRI-measured thigh muscle volume using anthropometric measurements and physical functional status in elderly subjects.Crosssectional, nonrandomized study.Outpatient clinic in Taiwan.Sixty-nine elderly subjects (33 men and 36 women) aged 65 and older.The anthropometric data (including body height, body weight, waist size, and thigh circumference), physical activity and function (including grip strength, bilateral quadriceps muscle power, the up and go test, chair rise, and five meters walk time) and bioelectrical impedance analysis data (including total body fat mass, fat-free mass, and predictive muscle size) were measured. MRI-measured muscle volume of both thighs was used as the reference standard.The MRI-measured thigh volume was positively correlated with all anthropometric data, quadriceps muscle power and the up and go test as well as fat-free mass and predictive muscle mass, whereas it was negatively associated with age and walk time. In predicting thigh muscle volume, the variables of age, gender, body weight, and thigh circumference were significant predictors in the linear regression model: Muscle volume(cm(3)) =4226.3-42.5xAge(year)-955.7xgender(male=1, female=2)+45.9xbody weight(kg) +60.0xthighcircumference (cm) (r(2) = 0.745, P < 0.001; Standard Error of the Estimate = 581.6cm(3)).The current work provides evidence of a strong relationship between thigh muscle volume and physical function in the elderly. We also developed a prediction equation model using anthropometric measurements. This model is a simple and noninvasive method for everyday clinical practice and follow-up.