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脑卒中后身体活动维度:模式与下肢运动功能的关系。

Physical activity dimensions after stroke: patterns and relation with lower limb motor function.

机构信息

Department of Rehabilitation Medicine and Physical Therapy, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.

Rijndam Rehabilitation, Rotterdam, The Netherlands.

出版信息

J Neuroeng Rehabil. 2021 Dec 11;18(1):171. doi: 10.1186/s12984-021-00960-x.

Abstract

BACKGROUND

Stroke survivors show deteriorated physical functioning and physical activity levels. Physical activity levels of stroke survivors are generally low. It is increasingly recognized that physical activity is a multidimensional construct that cannot be captured in a single outcome. In-depth insight into multidimensional physical activity patterns may guide the development and timing of targeted rehabilitation interventions. This longitudinal cohort study explored how multidimensional physical activity outcomes develop during recovery in the subacute phase after stroke and if changes in physical activity were correlated to recovery of lower limb motor function.

METHODS

Patients were recruited during inpatient rehabilitation. At 3, 12, and 26 weeks post-onset, motor function was measured by the Fugl-Meyer Lower Extremity Assessment (FMA-LE). Physical activity was measured with the Activ8 accelerometer in multiple outcomes: counts per minute during walking (CPM; a measure of Intensity), number of active bouts (Frequency), mean length of active bouts (Distribution) and % of waking time in upright positions (Duration). Generalized estimating equations (GEE) were used to study changes in physical activity over time and the relation with the change in lower limb motor recovery.

RESULTS

Thirty-nine patients (age 56 ± 9, 77% male, 89% ischemic stroke) were included. GEE models showed a significant main effect of time for PA Intensity (+ 13%, p = 0.007) and Duration (+ 64%, p = 0.012) between 3 and 12 weeks. Motor function did not show a significant effect in all PA models across the 3 timepoints (p > 0.020). A significant interaction effect of time × motor function was observed (p < 0.001).

CONCLUSIONS

Patterns of PA recovery depend on the PA dimensions: PA Intensity and Duration increased mostly between 3 and 12 weeks post-stroke, whereas Frequency and Distribution did not show substantial changes. Further, no strong associations with motor recovery and high inter-individual variability were documented, which underlies the need to consider factors specific to the disease, the individual patient and the context.

摘要

背景

中风幸存者的身体功能和身体活动水平都有所下降。中风幸存者的身体活动水平普遍较低。人们越来越认识到,身体活动是一个多维的构念,不能仅用单一结果来衡量。深入了解多维身体活动模式可能有助于指导有针对性的康复干预措施的制定和时机选择。本纵向队列研究探讨了中风后亚急性期恢复过程中多维身体活动结果的发展情况,以及身体活动的变化是否与下肢运动功能的恢复相关。

方法

在住院康复期间招募患者。在发病后 3、12 和 26 周时,通过 Fugl-Meyer 下肢评估(FMA-LE)测量运动功能。使用 Activ8 加速度计测量身体活动,其结果包括:步行时每分钟的计步数(CPM;强度指标)、活跃时段数(频率)、活跃时段的平均长度(分布)和直立位清醒时间的百分比(持续时间)。使用广义估计方程(GEE)研究身体活动随时间的变化以及与下肢运动恢复变化的关系。

结果

共纳入 39 例患者(年龄 56±9 岁,77%为男性,89%为缺血性中风)。GEE 模型显示,PA 强度(增加 13%,p=0.007)和持续时间(增加 64%,p=0.012)在 3 周至 12 周之间有显著的时间主效应。在所有 PA 模型中,运动功能在 3 个时间点均无显著影响(p>0.020)。时间与运动功能的交互效应有显著意义(p<0.001)。

结论

PA 恢复模式取决于 PA 维度:PA 强度和持续时间主要在中风后 3 周至 12 周之间增加,而频率和分布没有明显变化。此外,没有发现与运动恢复的强烈关联和高度个体间变异性,这表明需要考虑疾病、个体患者和环境的具体因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffa9/8666008/e068234418d6/12984_2021_960_Fig1_HTML.jpg

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