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北京某社区老年人肌力、肌量、肌功能与认知功能相关分析

Correlation among muscle strength, muscle mass, muscle function and cognitive function of elderly people in a community in Beijing

摘要:

目的? 探讨北京某社区老年人肌力、肌量、肌功能与认知功能的相关性.方法? 于2018年4—10月方便抽取北京市某社区60周岁及以上的老年人192名,肌力采用CAMRY电子握力仪EH101测量;肌量采用体脂称测量四肢骨骼肌含量,计算四肢骨骼肌指数(RSMI);肌功能测量采用4 m步行实验法;认知功能采用简易智能精神状态量表(MMSE)测量,并采用统计软件SPSS 20.0对研究数据进行处理.结果? 192名研究对象中,轻度认知障碍的发生率为65.62%(126/192),中度认知障碍的发生率为12.50% (24/192).Spearman相关分析显示,肌力、肌量、肌功能均与认知功能存在相关关系(r值分别为0.384、0.215、0.458;P<0.05),其中肌力、肌量与认知的注意力相关性更强(r值分别为0.319、0.229;P<0.05),肌功能与语言能力相关性更强(r=0.392,P<0.05),与肌力、肌量、肌功能均相关的方面是注意力和语言能力(P<0.05).以认知功能正常与否为因变量进行Logistic线性回归分析显示,影响认知功能的危险因素有年龄、BMI、体脂率、RSMI.结论? 老年人肌力、肌量、肌功能均与认知功能存在正相关关系.

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abstracts:

Objective? To explore the correlation among muscle strength, muscle mass, muscle function and cognitive function of old people in a community in Beijing. Methods? From April 2018 to October 2018, we selected 192 elderly people aged 60 or over in a community in Beijing. Muscle strength was evaluated with the CAMRY electronic handgrip strength instrument EH101; mass of limb skeletal muscle was measured with body fat scale to calculate the relative skeletal muscle index (RSMI) of limbs; muscle function was measured with the 4-m walk test; cognitive function was assessed with the Mini-Mental State Examination (MMSE). SPSS 20.0 was used to data statistics. Results? Among 192 subjects, the incidences of mild and medium cognitive impairment were 65.62%(126/192) and 12.50%(24/192) respectively. Spearman correlation analysis showed that muscle strength, muscle mass and muscle function had correlations with cognitive function with statistical differences (r=0.384, 0.215, 0.458;P< 0.05). Muscle strength and muscle mass had strong statistical correlations with attention of cognition (r=0.319, 0.229;P< 0.05). Muscle function had strong statistical correlation with linguistic competence (r=0.392, P<0.05). Muscle strength, muscle mass and muscle function all had correlations with attention as well as linguistic competence with statistical differences (P<0.05). Taking whether cognitive function was normal or not as dependent variable, Logistic regression analysis showed that the influencing factors of cognitive function were ages, body mass index (BMI), body fat rate and RSMI. Conclusions? Muscle strength, muscle mass and muscle function had positive correlations with cognitive function among elderly people.

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