功能独立性测度
物理医学与康复
平衡(能力)
日常生活活动
物理疗法
独立性(概率论)
解释的变化
冲程(发动机)
医学
心理学
数学
统计
机械工程
工程类
作者
Kênia Kiefer Parreiras de Menezes,Aline Alvim Scianni,Patrick Roberto Avelino,Iza Faria‐Fortini,Luci Fuscaldi Teixeira-Salmela,Christina Danielli Coelho de Morais Faria
标识
DOI:10.1016/j.jstrokecerebrovasdis.2023.107386
摘要
To investigate which of the residual sensorimotor impairments, assessed by the Fugl-Meyer scale, would best explain functional independence during hospitalization after a stroke.This cross-sectional study retrieved data from medical records between January 2014 to December 2021. Explanatory independent variables were the following domains of the Fugl-Meyer scale: joint pain, joint range of motion, balance, sensory function, and motor function of the upper and lower limbs. Functional independence was measured by the Functional Independence Measure (FIM). Step-wise multiple linear regression analysis was used to identify which measures would explain functional independence (α=5%).Data from 1,344 individuals, who had a mean age of 64 years, were retrieved. All included explanatory variables were significantly correlated with the FIM scores (0.24 ≤ r ≤ 0.87). Balance alone explained 76 % (F=4.24; p<0.001) of the variance in the FIM scores. When sensory function and upper-limb motor function scores were included in the model, the explained variance increased to 82 % (F = 1.935; p < 0.001).Balance, which is important for carrying-out self-care activities, is the domain of the Fugl-Meyer scale that best explained functional independence during hospitalization after a stroke. Although sensory function and motor function of the upper limb added little to the explained variance, they should not be underlooked. Future research is needed to determine whether progressive balance training interventions would enhance functional independence after a stroke.
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