伴有和不伴有肥胖的老年男性的肌肉减少症及骨骼肌质量的预测因素
Sarcopenia and Predictors of Skeletal Muscle Mass in Elderly Men With and Without Obesity.
作者信息
Stoever Katja, Heber Anke, Eichberg Sabine, Brixius Klara
机构信息
German Sport University Cologne, Germany.
出版信息
Gerontol Geriatr Med. 2017 Jun 14;3:2333721417713637. doi: 10.1177/2333721417713637. eCollection 2017 Jan-Dec.
Abstract
The aim of this study was to determine the variables which show the highest association with muscle mass and to identify the most important predictors for muscle mass in elderly men with and without sarcopenia. A total of 71 men participated, aged ≥65 years. Sarcopenia was assessed using the definition of the European Working Group on Sarcopenia in Older People with determining skeletal muscle index (SMI), hand-grip strength (HGS), and Short Physical Performance Battery. In addition, maximum strength at upper and lower extremities and physical activity were measured. Strong correlations existed between SMI and gait speed, HGS, maximum isometric strength at leg and chest press. Physical activity showed low correlations with muscle strength. Regression analysis revealed HGS and gait speed as key predictors for SMI. The recommendation is measuring gait speed and HGS in clinical practice at first followed by measuring muscle mass for determining sarcopenia.
摘要
本研究的目的是确定与肌肉量关联度最高的变量，并识别有或没有肌肉减少症的老年男性肌肉量的最重要预测因素。共有71名年龄≥65岁的男性参与。使用欧洲老年人肌肉减少症工作组的定义评估肌肉减少症，该定义涉及确定骨骼肌指数（SMI）、握力（HGS）和简短体能测试。此外，还测量了上下肢的最大力量和身体活动情况。SMI与步速、HGS、腿部和胸部推举的最大等长力量之间存在强相关性。身体活动与肌肉力量的相关性较低。回归分析显示HGS和步速是SMI的关键预测因素。建议在临床实践中首先测量步速和HGS，然后测量肌肉量以确定肌肉减少症。
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