Institute of Neuroscience and Physiology, Department of Clinical Neuroscience and Rehabilitation, Sahlgrenska Academy at the University of Gothenburg, Göteborg, Sweden(∗).
Institute of Neuroscience and Physiology, Department of Clinical Neuroscience and Rehabilitation, Sahlgrenska Academy at the University of Gothenburg, Göteborg, Sweden(†).
PM R. 2014 Feb;6(2):139-45. doi: 10.1016/j.pmrj.2013.08.593. Epub 2013 Aug 23.
To explore the relationship between self-reporting and physical measures and compare self-reported physical activity (PA) levels in persons who have had a stroke with self-reported PA levels in a control population.
Cross-sectional assessment of a convenience sample of survivors of a stroke living in the community and a population-based sample from the same community.
University hospital.
Seventy persons (48 men and 22 women; average age, 60 years) who had a stroke a mean of 6 years earlier and 141 persons (70 men and 71 women; average age, 59 years) who served as control subjects.
The Physical Activity Scale for the Elderly (PASE) was used, and self-selected and maximum walking speeds were measured. Motor function after stroke was assessed with the Fugl-Meyer Assessment.
The median Fugl-Meyer score for motor function in the leg was 29. Mean self-selected and maximum walking speeds after having a stroke were 1.0 m/s and 1.3 m/s, corresponding to 72% and 65% of control values. A regression model with PASE as the dependent variable and age and walking speed as independent variables explained 29% (P < .001) of the variation in the stroke group. For the control group, age and self-selected walking speed explained 8% of the variation (P < .01). The mean PASE score in the stroke group was 119, compared with 161 in the control group.
Persons who have experienced a stroke and live in the community are less physically active than the population of the same age who have not had a stroke. However, it appears that factors other than motor impairment have an impact on a person's PA level, because only a low association was found between PA level and motor function, with a large dispersion in PA levels in persons with a history of stroke who were physically well recovered.
探讨自我报告与身体测量之间的关系，并比较社区中曾患中风者的自我报告体力活动（PA）水平与同一社区人群的自我报告 PA 水平。
对社区中幸存的中风患者的便利样本和来自同一社区的人群进行横断面评估。
大学医院。
70 名患者（48 名男性和 22 名女性；平均年龄 60 岁），他们在平均 6 年前发生中风，以及 141 名对照者（70 名男性和 71 名女性；平均年龄 59 岁）。
使用老年人体力活动量表（PASE），并测量自我选择和最大步行速度。中风后运动功能用 Fugl-Meyer 评估进行评估。
下肢 Fugl-Meyer 运动功能评分中位数为 29 分。中风后平均自我选择和最大步行速度分别为 1.0 m/s 和 1.3 m/s，相当于对照组的 72%和 65%。以 PASE 为因变量，年龄和步行速度为自变量的回归模型解释了中风组中 29%（P<.001）的变化。对于对照组，年龄和自我选择步行速度解释了 8%的变化（P<.01）。中风组的 PASE 平均得分为 119，而对照组为 161。
曾经历中风并居住在社区中的人比没有中风的同龄人群的身体活动量少。然而，似乎除运动障碍以外的其他因素对一个人的 PA 水平有影响，因为在身体状况良好恢复的中风史患者中，PA 水平与运动功能之间的关联较低，PA 水平的离散度较大。
