González-Correa C H, Pineda-Zuluaga M C, Marulanda-Mejía F
Research Group on Nutrition, Metabolism and Food Security, Universidad de Caldas, Manizales, Colombia.
Research Group on Geriatrics and Gerontology, Universidad de Caldas, Manizales, Colombia.
J Electr Bioimpedance. 2020 Jul 24;11(1):57-61. doi: 10.2478/joeb-2020-0009. eCollection 2020 Jan.
Skeletal muscle mass (SMM) plays an important role in health and physical performance. Its estimation is critical for the early detection of sarcopenia, a disease with high prevalence and high health costs. While multiple methods exist for estimating this body component, anthropometry and bioelectrical impedance analysis (BIA) are the most widely available in low- to middle-income countries. This study aimed to determine the correlation between muscle mass, estimated by anthropometry through measurement of calf circumference (CC) and skeletal mass index (SMI) by BIA. This was a cross-sectional and observational study that included 213 functional adults over 65 years of age living in the community. Measurements of height, weight, CC, and SMM estimated by BIA were made after the informed consent was signed. 124 women mean age 69.6 ± 3.1 years and 86 men mean age 69.5 ± 2.9 years had the complete data and were included in the analysis. A significant positive moderate correlation among CC and SMI measured by BIA was found (Pearson r= 0.57 and 0.60 for women and men respectively (p=0.0001)). A moderate significant correlation was found between the estimation of SMM by CC and by BIA. This suggests that CC could be used as a marker of sarcopenia for older adults in settings in lower-middle-income countries where no other methods of diagnosing muscle mass are available. Although the CC is not the unique parameter to the diagnosis of sarcopenia, it could be a useful procedure in the clinic to identify patients at risk of sarcopenia.
骨骼肌质量(SMM)在健康和身体机能方面发挥着重要作用。对其进行评估对于肌少症的早期检测至关重要,肌少症是一种患病率高且医疗成本高的疾病。虽然存在多种估算这一身体组成部分的方法,但在低收入和中等收入国家,人体测量法和生物电阻抗分析(BIA)是最容易获得的方法。本研究旨在确定通过测量小腿围(CC)采用人体测量法估算的肌肉质量与通过BIA估算的骨骼肌质量指数(SMI)之间的相关性。这是一项横断面观察性研究,纳入了213名居住在社区的65岁以上功能正常的成年人。在签署知情同意书后,测量了身高、体重、CC以及通过BIA估算的SMM。124名平均年龄为69.6±3.1岁的女性和86名平均年龄为69.5±2.9岁的男性拥有完整数据并被纳入分析。结果发现,通过BIA测量的CC与SMI之间存在显著的中度正相关(女性和男性的Pearson相关系数分别为0.57和0.60(p=0.0001))。通过CC和BIA估算的SMM之间存在中度显著相关性。这表明,在没有其他诊断肌肉质量方法的低收入和中等收入国家的环境中,CC可作为老年人肌少症的一个标志物。虽然CC不是诊断肌少症的唯一参数,但它在临床上可能是一种有用的方法,用于识别有肌少症风险的患者。