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首页> 外文期刊>Archives of Physical Medicine and Rehabilitation >Which neuromuscular attributes are most associated with mobility among older primary care patients?
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Which neuromuscular attributes are most associated with mobility among older primary care patients?

机译：哪种神经肌肉属性与老年初级护理患者之间的流动性最多有关？

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Objective To identify the neuromuscular attributes that are associated with self-reported mobility status among older primary care patients. Design Cohort study. Setting Metropolitan-based health care system. Participants Community-dwelling primary care patients aged ≥65 years (N=430), with self-reported modification of mobility tasks resulting from underlying health conditions. Interventions Not applicable. Main Outcome Measures Basic and Advanced Lower Extremity Function as measured by the Late Life Function and Disability Instrument. Results We constructed multivariable linear regression models evaluating both outcomes. For Basic Lower Extremity Function, leg strength, leg velocity, trunk extensor muscle endurance, and ankle range of motion (ROM) were statistically significant predictors (P.001, R 2=.21). For Advanced Lower Extremity Function, leg strength, leg strength asymmetry, leg velocity, trunk extensor muscle endurance, and knee flexion ROM were statistically significant predictors (P.001, R 2=.39). Sensitivity analyses conducted using multiple imputations to account for missing data confirmed these findings. Conclusions This analysis highlights the relevance and importance of 5 categories of neuromuscular attributes: strength, speed of movement, ROM, asymmetry, and trunk stability. It identifies novel attributes (leg velocity and trunk extensor muscle endurance) relevant to mobility and highlights that impairment profiles vary by the level of mobility assessed. These findings will inform the design of more thorough and potentially more effective disability prevention strategies.
机译：目的鉴定与较老的初级护理患者自我报告的流动性有关的神经肌肉属性。设计队列研究。设定大都市的医疗保健系统。与会者社区住宅初级护理患者≥65岁（n = 430），自我报告的卫生条件造成的移动任务改变。干预不适用。主要的结果测量后期寿命功能和残疾仪器测量的基本和先进的下肢功能。结果我们构建了多变量线性回归模型，评估了两种结果。对于基本下肢函数，腿部强度，腿部速度，树干伸肌肌耐力和脚踝范围（ROM）是统计学上的预测因子（P <.001，R 2 = .21）。对于先进的下肢函数，腿部强度，腿部强度不对称，腿部速度，树干伸肌肌耐力和膝关节屈曲ROM是统计上显着的预测因子（P＆ .001，R 2 = .39）。使用多个避难所进行的敏感性分析来解释缺失数据确认了这些发现。结论该分析突出了5类神经肌肉属性的相关性和重要性：力量，运动速度，rom，不对称和行李箱稳定性。它识别与流动性相关的新颖属性（腿速度和后备肌肌耐力），并且突出显示减值概况因评估的流动性级别而异。这些调查结果将以更彻底和更有效的残疾策略的方式告知设计。

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