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Self-Training Trunk Program for Improving Balance and Walking Ability in People with Chronic Stroke -A Preliminary Study-

만성 뇌졸중 환자의 균형 및 보행 증진을 위한 체간 자가 훈련 프로그램 -예비연구-

  • Received : 2017.10.26
  • Accepted : 2017.11.10
  • Published : 2017.12.31

Abstract

Purpose: Balance and walking ability are important elements of functional independence for people with stroke and are major goals in rehabilitation. These abilities require trunk performance, but most chronic stroke patients reach a plateau in their rehabilitation. Therefore, the purpose of this study was to investigate the effects of a self-training trunk program to improve balance and walking ability in people with stroke, and to suggest such a self-training program for integrated rehabilitation of people with stroke. Methods: The study recruited 7 people with stroke. The subjects performed trunk training for 30 min per day, 6 days per week, for 3 weeks. Participants were measured on the Trunk Impairment Scale (TIS), the Berg Balance Scale (BBS), the Korean Activities-specific Balance Confidence (K-ABC) scale, the Falls Efficacy Scale (FES), the Functional Gait Assessment (FGA), the 6 Minute Walk Test (6MWT) and a gait analysis to measure the training effects. Statistical analysis used the Wilcoxon signed-rank test as a non-parametric statistical test. Results: TIS was not significantly different after the self-training trunk program, but BBS (p>0.05), K-ABC, and FES were significantly improved after the training program (p<0.05). Furthermore, the 6MWT, stride/height %, and one-leg stance were significantly improved after the training program (p<0.05), but cadence, stance, and swing duration were not significantly different after the training (p>0.05). Conclusion: These results suggest that a self-training trunk program should be integrated into stroke rehabilitation to improve balance and walking ability, and further research is needed to develop the program to be more effective for chronic stroke patients.

Keywords

Balance;Gait;Self exercise;Stroke;Trunk

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