Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University, College of medicine, Yun-Lin Branch.
J Nutr Health Aging. 2011 Jun;15(6):433-8. doi: 10.1007/s12603-010-0281-9.
(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.
Cross-sectional, 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 (cm3) =4226.3-42.5 × Age (year)-955.7 × gender (male=1, female=2) + 45.9 × body weight(kg) + 60.0 × thigh circumference (cm) (r2 = 0.745, P < 0.001; standard error of the estimate = 581.6 cm3).
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.
(1)在老年人中,将磁共振成像(MRI)测量的大腿肌肉量与人体测量学测量和身体功能相关联;(2)在老年人中,使用人体测量学测量和身体功能状态预测 MRI 测量的大腿肌肉量。
横断面、非随机研究。
台湾的门诊诊所。
69 名年龄在 65 岁及以上的老年人(33 名男性和 36 名女性)。
人体测量学数据(包括身高、体重、腰围和大腿围)、身体活动和功能(包括握力、双侧股四头肌力量、起立行走测试、椅子上升和 5 米行走时间)以及生物电阻抗分析数据(包括全身脂肪量、去脂体重和预测肌肉量)。MRI 测量的双侧大腿肌肉量被用作参考标准。
MRI 测量的大腿体积与所有人体测量学数据、股四头肌力量和起立行走测试以及去脂体重和预测肌肉量呈正相关,而与年龄和行走时间呈负相关。在预测大腿肌肉量方面,年龄、性别、体重和大腿围的变量是线性回归模型中的显著预测因子:肌肉量(cm3)=4226.3-42.5×年龄(年)-955.7×性别(男=1,女=2)+45.9×体重(kg)+60.0×大腿围(cm)(r2=0.745,P<0.001;估计的标准误差=581.6 cm3)。
目前的工作提供了老年人大腿肌肉量与身体功能之间存在强相关性的证据。我们还使用人体测量学测量值开发了一个预测方程模型。该模型是一种简单且非侵入性的方法,可用于日常临床实践和随访。