Effects of Standing balance and walking with a gait training machine to improve balance control and safely community walking speed among patients with strokes at Sadao Hospital
Article Sidebar
Main Article Content
Abstract
Background: Fall during gait among subacute stroke patients is increasing every year. As a result, patients are unable to balance and have ineffective walking patterns. Therefore, developing a physical therapy program with the use of a stride enhancer is another way to prevent fall during gait.
Objective: To examine the effects of standing balance and walking with a gait training machine to improve balance control and safely community walking speed among patients with strokes at Sadao hospital.
Methods: 27 patients with acute stroke aged between 44-65 years. They received balance training for 60 minutes combined with gait training for 30 minutes. Data was measured using a balance assessment form (Mini-BESTest) and the 10-meter walking speed assessment. Data were collected from October 2019 to January 2020 and were analyzed using the Paired t-test and Wilcoxon Sign Rank test statistics.
Results: Effects of balance training with gait training machine can improve the patient to have better standing balance, increased ability to walk, and the number of falls decreased statistically significant during walking at 0.001 level.
Conclusion: Hospitals and health facilities in the network can apply standing balance and walking with a gait training machine in a training program to restore balance ability with the safe and controlling appropriate walking speed for patients with stroke in the community and effectively reduce the number of falls.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Duncan PW, Zorowitz R, Bates B, Choi JY, Glasberg JJ, Graham GD, et al. Management of Adult Stroke Rehabilitation Care: a clinical practice guideline. Stroke. 2005; 36 (9): e100-43.
Perennou D. Weight bearing asymmetry in standing hemiparetic patients. J Neurol Neurosurg Psychiatry. 2005; 76 (5): 621.
Ratree S, Weerachai S. Neurophysiology. Bangkok: Chulalongkorn University Print;2007. (in Thai)
Horak FB. Postural orientation and equilibrium: what do we need to know about neural control of balance to prevent falls? Age Ageing. 2006; 35 Suppl 2: ii7-ii11.
Siriporn P. Knowledge, attitudes, and behaviors in preventing falls in the elderly. (thesis). Chiang Mai: Chiang Mai University; 1999. (in Thai)
Shumway-Cook A, Woollacott M. Motor Control Translating Research into Clinical Practice. 4th ed: Philadephia, Lippincott William & Wilkins; 2012.
Assantachai P. Falls in the elderly and prevention of common health problems in Elderly and prevention. 2 ed. Bangkok: Department of Preventive and Social Medicine, Faculty of Medicine, Mahidol University; 2011.
Liu TW, Ng GYF, Ng SSM. Effectiveness of a combination of cognitive behavioral therapy and task-oriented balance training in reducing the fear of falling in patients with chronic stroke: study protocol for a randomized controlled trial. Trials. 2018; 19 (1): 168.
World Health Organization. International classification of functioning, disability and health: ICF: World Health Organization, 2001.
Tsang CS, Liao LR, Chung RC, Pang MY. Psychometric properties of the Mini-Balance Evaluation Systems Test (Mini-BESTest) in community-dwelling individuals with chronic stroke. Phys Ther. 2013; 93 (8): 1102-15.
Flansbjer UB, Holmbäck AM, Downham D, Patten C, Lexell J. Reliability of gait performance tests in men and women with hemiparesis after stroke. J Rehabil Med. 2005; 37 (2): 75-82.
Dickstein R. Rehabilitation of gait speed after stroke: a critical review of intervention approaches. Neurorehabil Neural Repair. 2008; 22 (6): 649-60.
Trew M, Everett T. Human Movement An Introductory Text. New York: Churchill Livingstone; 1997.
Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods, 2007; 39 (2), 175-91.
Cohen, J. Statistical power analysis for the behavioral sciences. 2nd ed. New York: lawrence Erlbaum Associates; 1988.
Gillespie LD, Robertson MC, Gillespie WJ, Sherrington C, Gates S, Clemson LM, et al. Interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2012 (9): Cd007146.
Sherrington C, Whitney JC, Lord SR, Herbert RD, Cumming RG, Close JC. Effective exercise for the prevention of falls: a systematic review and meta-analysis. J Am Geriatr Soc. 2008; 56 (12): 2234-43.
Khongkhaew C. Animation system for analyzing human gait: Songkhla; 2010. (in Thai)
Hair Jr. JF, Black WC, Barbin BJ, Anderson RE. Multivariate data analysis. 7 ed. New Jersey: Pearson Education; 2010.
Thepsrimanon N. Effect of balance training on stability ability of vascular disease patients in the hospital.: Suratthani; 2018.
Thiamwong L, Maneesriwongul W. Risk factors for falls among elderly people living in the community. journal of gerontology and geriatric medicine. 2001; 2 (2): 46-52.
Mahoney FI, Barthel DW. Functional evaluation: The Barthel index. maryland state medical journal. 1965; 14: 61-5.
