Neves Thiago, Fett Carlos Alexandre, Ferriolli Eduardo, Crespilho Souza Milene Giovana, Dos Reis Filho Adilson Domingos, Martin Lopes Marcela Bomfim, Carraro Martins Neusa Maria, Rezende Fett Waléria Christiane
Department of Physical Education, University of the State of Mato Grosso, Diamantino, MT, Brazil.
Department of Physical Education, Nucleus of Studies in Physical Fitness, Computers, Metabolism, and Sports and Health, Federal University of Mato Grosso, Cuiabá, MT, Brazil.
Osteoporos Sarcopenia. 2018 Dec;4(4):145-149. doi: 10.1016/j.afos.2018.11.081. Epub 2018 Nov 20.
This study evaluated the relationship between the skeletal muscle mass (SMM), obtained by predictive equations, and the body composition, nutritional aspects, functionality and physical performance in elderly people.
The sample consisted of adults aged 65 years or over from the cross-sectional study of the Brazilian Elderly Frailty Study Network, in Cuiabá, Mato Grosso State, Brazil. The anthropometric parameters, instrumental activities of daily living (IADL), Short Physical Performance Battery (SPPB), and handgrip strength (HGS) were evaluated. The SMM was estimated by 2 predictive anthropometric equations.
Both SMM equations correlated with age, anthropometric indices, SPPB, IADL, and HGS. However, only HGS and neck circumference strongly correlated in both equations, being higher in SMM II.
It seems that both equations are sensitive to obtain the SMM, contributing to the diagnosis of sarcopenia, nutritional status, and a physical performance condition.
本研究评估了通过预测方程获得的骨骼肌质量（SMM）与老年人身体成分、营养状况、功能和身体表现之间的关系。
样本来自巴西马托格罗索州库亚巴市巴西老年衰弱研究网络的横断面研究中的65岁及以上成年人。评估了人体测量参数、日常生活工具性活动（IADL）、简短身体性能测试（SPPB）和握力（HGS）。通过2个预测人体测量方程估计SMM。
两个SMM方程均与年龄、人体测量指数、SPPB、IADL和HGS相关。然而，在两个方程中只有HGS和颈围密切相关，在SMM II中更高。
似乎两个方程在获取SMM方面都很敏感，有助于肌肉减少症、营养状况和身体表现状况的诊断。
