Total-body skeletal muscle mass: development and cross-validation of anthropometric prediction models
Total-body skeletal muscle mass: development and cross-validation of anthropometric prediction models
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DOI：
10.1093/ajcn/72.3.796
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发表时间：
2000-09-01
影响因子：
7.1
通讯作者：
Heymsfield, SB
中科院分区：
文献类型：
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作者：
Lee, RC;Wang, ZM;Heymsfield, SB
背景资料：骨骼肌（SM）是具有重要生物学意义的大的身体部分，但它仍然难以量化SM与负担得起的和实用的方法，可以应用于临床和fieldsetting.Objective：本研究的目的是开发和交叉验证人体测量SM质量预测模型在健康成人。设计：SM质量，通过使用全身多层磁共振成像测量，被设置为预测模型中的因变量。将自变量组织成2个单独的公式。一个公式主要包括肢体周长和皮褶厚度[模型1：身高（m）和皮褶校正的上臂、大腿和小腿围（分别为CAG、CTG和CCG; cm）]。另一个公式主要包括体重（kg）和身高（模型2）。这些模型是在非肥胖成年人[体重指数]中开发和交叉验证的结果：非肥胖受试者（n = 244）的两种SM（kg）模型如下：SM = Ht x（0.00744 × CAG（2）+ 0.00088 × CTG（2）+ 0.00441 × CCG（2））+2.4 ×性别-0.048 ×年龄+种族+7.8，其中R-2 = 0.91，P < 0.0001，SEE = 2.2kg;性别= 0（女性）和1（男性），人种= -2.0（亚洲人），1.1（非洲裔美国人），0（白色人和西班牙人），SM = 0.244 x BW + 7.80 x Ht + 6.6 x性别- 0.098 x年龄+人种- 3.3，其中R-2 = 0.86，P < 0.0001，和SEE = 2.8 kg;性别= 0为女性和1为男性，种族= -1.2为亚洲，1.4为非洲裔美国人，和0为白色和西班牙裔。结论：这2个人体测量预测模型，第一次在体内开发的使用国家的最先进的身体组成的方法，可能被证明是有用的非肥胖成年人SM质量的临床评价和实地研究。
Background: Skeletal muscle (SM) is a large body compartment of biological importance, but it remains difficult to quantify SM with affordable and practical methods that can be applied in clinical and field settings.Objective: The objective of this study was to develop and cross-validate anthropometric SM mass prediction models in healthy adults.Design: SM mass, measured by using whole-body multislice magnetic resonance imaging, was set as the dependent variable in prediction models. Independent variables were organized into 2 separate formulas. One formula included mainly limb circumferences and skinfold thicknesses [model 1: height (in m) and skinfold-corrected upperarm, thigh, and calf girths (CAG, CTG, and CCG, respectively; in cm)]. The other formula included mainly body weight (in kg) and height (model 2). The models were developed and cross-validated in nonobese adults [body mass index (in kg/m(2)) < 30].Results: Two SM (in kg) models for nonobese subjects (n = 244) were developed as follows: SM = Ht x (0.00744 x CAG(2) + 0.00088 x CTG(2) + 0.00441 x CCG(2)) + 2.4 x sex - 0.048 x age + race + 7.8, where R-2 = 0.91, P < 0.0001, and SEE = 2.2 kg; sex = 0 for female and 1 for male, race = -2.0 for Asian, 1.1 for African American, and 0 for white and Hispanic, and SM = 0.244 x BW + 7.80 x Ht + 6.6 x sex - 0.098 x age + race - 3.3, where R-2 = 0.86, P < 0.0001, and SEE = 2.8 kg; sex = 0 for female and 1 for male, race = -1.2 for Asian, 1.4 for African American, and 0 for white and Hispanic.Conclusion: These 2 anthropometric prediction models, the first developed in vivo by using state-of-the-art body-composition methods, are likely to prove useful in clinical evaluations and field studies of SM mass in nonobese adults.