Graduate Program in Occupational Studies, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Graduate Program in Rehabilitation Sciences, Universidade Federal de Minas Gerais, Brazil.
J Stroke Cerebrovasc Dis. 2024 Jan;33(1):107479. doi: 10.1016/j.jstrokecerebrovasdis.2023.107479. Epub 2023 Nov 18.
Recovery of manual ability is a critical issue in rehabilitation. Currently, little is known regarding the baseline predictors of self-perceived manual ability, which could capture information on individual's perceived functional ability, especially in carrying-out routine tasks outside clinical settings.
To identify baseline predictors, which can be easily obtained within clinical settings, of self-perceived manual ability at three and six months after discharge from a stroke unit.
A 6-month longitudinal study was carried-out. Participants were recruited from a stroke unit of a public hospital. The dependent outcome was self-perceived manual ability, and the following predictors were investigated: age, stroke severity, upper-limb motor impairments, cognitive function, muscle strength, and functional capacity. Linear regression analyses were employed to identify multivariate predictors of manual ability at three and six months after discharge (α=5%).
Participated 131 individuals, 69 women (mean age of 60 years). Regression analyses revealed that stroke severity and age accounted for 31% and 47% of the variance in manual ability at three and six months after stroke, respectively. Stroke severity was the best predictor of manual ability at three (R=29%; F=44.7; p<0.0001) and six months (R=45%; F=88.2; p<0.0001) after stroke, respectively.
Stroke severity showed to be the best predictor of manual ability at both three and six months after stroke. Although significant, age added little to the explained variance.
手部能力的恢复是康复的关键问题。目前，人们对自我感知手部能力的基线预测因素知之甚少，这些因素可以捕捉到个体感知功能能力的信息，尤其是在临床环境之外进行日常任务时。
确定基线预测因素，这些因素可以在临床环境中轻松获得，并在从卒中单元出院后 3 个月和 6 个月时预测自我感知的手部能力。
进行了一项 6 个月的纵向研究。参与者从一家公立医院的卒中单元招募。因变量为自我感知的手部能力，研究了以下预测因素：年龄、卒中严重程度、上肢运动障碍、认知功能、肌肉力量和功能能力。采用线性回归分析确定出院后 3 个月和 6 个月时手部能力的多变量预测因素（α=5%）。
共有 131 人参与，其中 69 名女性（平均年龄 60 岁）。回归分析显示，卒中严重程度和年龄分别解释了 3 个月和 6 个月后手部能力变化的 31%和 47%。卒中严重程度是 3 个月（R=29%；F=44.7；p<0.0001）和 6 个月（R=45%；F=88.2；p<0.0001）后手部能力的最佳预测因素。
卒中严重程度是卒中后 3 个月和 6 个月手部能力的最佳预测因素。尽管有意义，但年龄对解释方差的贡献不大。
