1 research outputs found

    WALKING CAPACITY AND FALLS-EFFICACY CORRELATES WITH PARTICIPATION RESTRICTION IN INDIVIDUALS WITH CHRONIC STROKE: A CROSS SECTIONAL STUDY

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    Background: Mobility impairments seen after Stroke impact walking speed, endurance and balance. Almost all the individuals with Stroke have fear of fall. The physical impairments in balance and gait along with individual’s perception about his/her own abilities to maintain balance might have an impact on level of activity and participation in the community. The association of these variables with recovery of Stroke has been well studied. However, it is currently unknown which of these variables are most associated with activity and participation in the community. This study aimed to identify the correlation of walking capacity and perception of fall with activity & participation. Methods: 30 Subjects were assessed for - walking capacity (6 minute walk test) & Self-efficacy for falls (Modified Falls Efficacy scale). Level of Activity Limitation (AL) & Participation Restriction (PR) was graded on validated ICF Measure of Participation and Activities. (IMPACT-S) Results: Data was analyzed using Pearson's correlation coefficient & regression model. Walking distance and Falls-efficacy is significantly correlated (r=-0.751 and -0.683, respectively) with Participation restriction. Walking distance correlated with Activity Limitation (r=-0.714) significantly. Falls efficacy has a correlation coefficient of -0.642 with Activity Limitation. When put into Regression models, Walking Capacity & Gait Velocity was found to be independently associated with AL &PR. Conclusion: There is significant relationship between falls self-efficacy, walking capacity and Post-stroke activity & participation. Participation can be impacted by factors such as self-motivation and confidence about one's balance abilities. This is reflected by the correlation between falls efficacy and participation. Physical parameters such as the distance walked can contribute to participating in the community, and can predict variation in AL-P
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