通过简易肌力测试预测社区老年人群身体肌肉含量的模型

Study of muscle mass prediction models through simple muscle strength in community-dwelling elderly

目的通过测量社区老年人身体肌肉含量和不同部位的肌力,建立以单独或联合肌力水平为基础的肌肉含量预测模型。方法2019年9~12月在社区招募老年居民140例,分别进行握力、30 s肱二头肌弯举、30 s连续坐立测试和基于Micro FET3手持测力仪测定的股四头肌与腘绳肌最大等长肌力测试,并使用日本TANITA体成分仪测定身体肌肉含量,分析上述肌力指标与肌肉含量的相关性,并建立回归预测模型。结果所有肌力检测指标(握力、30 s肱二头肌弯举测试、30 s连续坐立测试、股四头肌与腘绳肌最大等长肌力)均与身体肌肉含量呈正相关(r=0.207~0.720,P<0.001)。在各肌力测试指标单独预测肌肉含量的多元回归分析中,除30 s连续坐立测试外,其余指标模型均具有统计学意义(r2=0.702~0.761,P<0.001)。多项肌力测试结果联合预测肌肉含量回归方程(r2=0.786,P<0.001)的预测因子包括性别、BMI、非优势手握力、30 s连续坐立测试和股四头肌最大等长肌力。结论身体不同部位简易肌力测试的结果均与身体肌肉含量呈正相关。除30 s连续坐立测试外,每一单项肌力水平均可建立拟合优度较好的肌肉含量预测模型,多项肌力指标联合预测模型效果稍优于单独指标,但优势差别较小。这些结果为评估社区老年人肌肉质量提供了简易的筛查方法,可为后续检查及治疗提供参考依据。

Objective To construct prediction models for muscle mass based on single or multiple indexes of muscle strength in the community-dwelling elderly.Methods A total of 140 elderly residents were recruited from the communities between September and December 2019.Simple muscle strengths,including hand-grip strength,biceps curl test,30 s chair stand test and maximal isometric strength of the quadriceps and hamstring muscles based on the Micro FET3 handheld ergometer were tested.Muscle mass was measured with body composition analyzer(TANITA,Japanese).The correlation between muscle strength and muscle mass were analyzed,and the regression equation was established.Results All indexes of muscle strength(hand-grip strength,biceps curl test,30 s chair stand test and maximal isometric strength of the quadriceps and hamstring muscles)were positively correlated with muscle mass(r=0.207-0.720,P<0.001).The multiple regression analysis showed that the muscle mass prediction models based on each index of muscle strength were statistically significant(r2=0.702-0.761,P<0.001),except the result of 30 s chair stand test.The prediction model of muscle mass based on multiple indexes including sex,body mass index(BMI),non-dominant hand grip strength,result of 30 s chair stand test,maximal isometric strength of the quadriceps was statistically significant(r2=0.786,P<0.001).Conclusions All indexes of the simple muscle strengths are positively correlated with muscle mass.Each single muscle strength index and combined multiple muscle strengths can effectively predict muscle mass and the prediction effect is slightly better in the latter.These models provide simple screening methods for assessing muscle mass in the community-dwelling elderly,which is beneficial for subsequent examination and treatment.