Aiello Ribeiro Carlos, Rosa Lorena, Mota Jorge, da Silva Nádia Lima, Farinatti Paulo
Graduate Program in Exercise and Sport Sciences, Institute of Physical Education and Sports, University of Rio de Janeiro State, Rio de Janeiro, Brazil.
Research Center in Physical Activity Health and Leisure (CIAFEL), Faculty of Sports, Laboratory for Integrative and Translational Research in Population Health (ITR), University of Porto, Porto, Portugal.
J Aging Res. 2025 Mar 29;2025:1053086. doi: 10.1155/jare/1053086. eCollection 2025.
The assessment of appendicular skeletal muscle mass (ASM) is central to the diagnosis of sarcopenia (SA). We developed an anthropometric model for estimating ASM and tested its validity to identify SA and associated risk of disability (RSA) in older women. The equation was developed with 89 women (60-88 years, 72 ± 6 years), with a cross-validation sample of 12 women (60-84 years, 67 ± 5 years). Validity was determined through concordance between actual versus estimated ASMs, correlations between actual/estimated ASM versus peak torque (PT) and total work (TW) during isokinetic knee extension/flexion and handgrip strength, and agreement of patients classified with SA and RSA. The predictive equation was ASM (kg) = 0.177 (body mass, kg)-0.075 (arm circumference, cm) + 0.020 (thigh circumference, cm) + 5.376 ( = 0.905; = 0.819; ad = 0.809; = 86.96; < 0.0001; SEE = 1.35 kg). Agreement between actual and estimated ASMs was confirmed by validation (ICC = 0.81; < 0.0001) and cross-validation samples (ICC = 0.72, < 0.035). Regression characteristics in PRESS statistics ( PRESS = 0.79; SEE-PRESS = 1.61) were compatible with the original model. Percent agreements for the classification of SA and RSA from indices calculated using actual/estimated ASM were 98% (gamma = 0.98, = 0.015) and 68% (gamma = 0.89, < 0.0001) in validation and 67% (gamma = 1.0, = 0.032) and 70% (gamma = 0.84, < 0.001) in cross-validation samples. Correlations between actual/estimated ASM versus PT (range 0.57-0.76, < 0.05), TW (range 0.51-0.75, < 0.05), and handgrip (range 0.67-0.74, < 0.001) were theoretically consistent, being moderate and similar in both samples. This new anthropometric model has satisfactory prediction qualities and could be applied as a simple and practical method for estimating ASM in Brazilian older women.
评估附属骨骼肌质量（ASM）是诊断肌肉减少症（SA）的核心。我们开发了一种用于估计ASM的人体测量模型，并测试了其在识别老年女性SA及相关残疾风险（RSA）方面的有效性。该方程是基于89名女性（60 - 88岁，平均年龄72±6岁）建立的，另有12名女性（60 - 84岁，平均年龄67±5岁）作为交叉验证样本。通过实际ASM与估计ASM之间的一致性、实际/估计ASM与等速膝关节伸展/屈曲及握力时的峰值扭矩（PT）和总功（TW）之间的相关性，以及SA和RSA分类患者的一致性来确定有效性。预测方程为ASM（kg）= 0.177（体重，kg）- 0.075（上臂围，cm）+ 0.020（大腿围，cm）+ 5.376（= 0.905；= 0.819；ad = 0.809；= 86.96；< 0.0001；SEE = 1.35 kg）。实际ASM与估计ASM之间的一致性通过验证样本（ICC = 0.81；< 0.0001）和交叉验证样本（ICC = 0.72，< 0.035）得到证实。PRESS统计中的回归特征（PRESS = 0.79；SEE - PRESS = 1.61）与原始模型相符。在验证样本中，使用实际/估计ASM计算的指数对SA和RSA分类的百分比一致性分别为98%（γ = 0.98，= 0.015）和68%（γ = 0.89，< 0.0001），在交叉验证样本中分别为67%（γ = 1.0，= 0.032）和70%（γ = 0.84，< 0.001）。实际/估计ASM与PT（范围0.57 - 0.76，< 0.05）、TW（范围0.51 - 0.75，< 0.05）和握力（范围0.67 - 0.74，< 0.001）之间的相关性在理论上是一致的，且在两个样本中均为中等且相似。这种新的人体测量模型具有令人满意的预测质量，可作为一种简单实用的方法用于估计巴西老年女性的ASM。
