Browse > Article
http://dx.doi.org/10.15207/JKCS.2020.11.5.087

Convergence Effects of Treadmill Training on Plantar Pressure, Lower Limb Muscle Function, and Balance in Chronic Stroke : A Meta-Analysis  

Choi, Ki-Bok (Team of Rehabilitation Therapy, Chosun University Hospital)
Cho, Sung-Hyoun (Department of Physical Therapy, Nambu University)
Publication Information
Journal of the Korea Convergence Society / v.11, no.5, 2020 , pp. 87-96 More about this Journal
Abstract
The purpose of this study is to evaluate the convergence effectiveness of treadmill training in patients with chronic stroke through a meta-analysis. After searching the literature based on the patients, intervention, comparison, outcome criteria, and study desigan, a total of 22 studies related to "stroke" and "treadmill" were eligible for inclusion. Effect size was calculated using the comprehensive meta-analysis program for the meta-analysis. Based on the forest plot results, the overall effect size of treadmill training was 0.661 (95% confidence interval: 0.456-0.865), which was statistically significant with a medium effect size (p < 0.05). The effects of treadmill training on patients with stroke were separated by dependent variables of interest-plantar pressure (1.147), lower limb muscle function (0.875), and balance (0.664). The effect sizes were evaluated for the subdomains of timed up and go test (0.553), Berg Balance Scale (0.760), and static balance index (0.654) for balance. Therefore, treadmill training can be expected to have a positive impact on improving the quality of life of patients with chronic stroke. This meta-analysis of treadmill training may the lead to an industry paradigm shift toward healthcare convergence of information, communication, and medical technology.
Keywords
Convergence; Stroke; Treadmill training; Plantar pressure; Lower limb muscle function; Balance;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 S. B. O'Sullivan & T. J. Schmitz. (2007). Physical rehabilitation. ed. Philadelphia : FA Davis Company.
2 A. Shumway-Cook & M. H. Woollacott. (2007). Motor control: Translating research into clinical practice. Lippincoot Williams & Wilkins, 108-105.
3 R. A. Geiger, J. B. Allen, J. O'Keefe & R. R. Hicks. (2001). Balance and mobility following stroke: effects of physical therapy interventions with and without biofeedback/forceplate training. Physical Therapy, 81(4), 995-1005. DOI : 10.1093/ptj/81.4.995   DOI
4 J. J. Eng & K. S. Chu. (2002). Reliability and comparison of weigh-bearing ability during standing tasks for individuals with chronic stroke. Archives of Physical Medicine and Rehabilitation, 83(8), 1138-1144. DOI : 10.1053/apmr.2002.33644   DOI
5 V. Dietz. (2009). Body weight supported gait training : from laboratory to clinical setting. Brain Research Bulletin, 78(1), 1-6. DOI : 10.1016/S0361-9230(08)00410-3   DOI
6 E. W. Miller, M. E. Quinn & P. G. Seddon. (2002). Body weight support treadmill and overground ambulation training for two patients with chronic disability secondary to stroke. Physical Therapy, 82(1), 53-61. DOI : 10.1093/ptj/82.1.53   DOI
7 J. S. Kim, J. H. An, H. H. Lee, H. J. Park & K. I. Ki. (2017). The effect of treadmill gait training accompanied by visual feedback on the gait and balance of chronic stroke patients. PNF and Movement, 15(2), 133-140. DOI : 10.21598/JKPNFA.2017.15.2.133
8 Y. J. Kim. (2018). Effects of underwater and ground treadmill walking training on the foot pressure and the walking ability in chronic stroke patients. Master's thesis, Youngsan University, Busan.
9 J. Park, B. R. Kim & T. H. Kim. (2018). Effects of visual feedback and rhythmic auditory stimulation on walking of stroke patients induced by treadmill walking training. Physical Therapy Korea, 25(2), 53-61. DOI : 10.12674/ptk.2018.25.2.053
10 O. D. Adebayo & G. Culpan. (2019). Diagnostic accuracy of computed tomography perfusion in the prediction of haemorrhagic transformation and patient outcome in acute ischaemic stroke: a systematic review and meta-analysis. European Stroke Journal, 5(1), 4-16. DOI : 10.1177/2396987319883461   DOI
11 R. W. Bohannon. (2007). Muscle strength and muscle training after stroke. Journal of rehabilitation Medicine, 39(1), 14-20. DOI : 10.2340/16501977-0018   DOI
12 H. S. Shin. (2015). Effects of inclination tread mill training for dynamic stretching on the spasticity and gait of chronic stroke patients. Master's thesis, Daejeon University, Daejeon.
13 K. J. Kim & K. H. Kim. (2018). Progressive treadmill cognitive dual-task gait training on the gait ability in patients with chronic stroke. Journal of exercise rehabilitation, 14(5), 821-828. DOI : 10.12965/jer.1836370.185   DOI
14 S. Y. Park & I. S. Shin. (2012). Meta-analysis of constraint-induced movement therapy in hemiplegic stroke patient in korea. Physical Therapy Korea, 19(2), 59-68. DOI : 10.12674/ptk.2012.19.2.059   DOI
15 M. Borenstein, L. V. Hedges, J. P. Higgins & H. R. Rothstein. (2009). Introduction to meta-analysis . UK : John Wiley & Sons, Ltd.
16 S. Hesse, C. Werner, T. Paul, A. Bardeleben & J. Chaler. (2001). Influence of walking speed on lower limb muscle activity and energy consumption during treadmill walking of hemiparetic patients. Archives of physical medicine and rehabilitation, 82(11), 1547-1550. DOI : 10.1053/apmr.2001.26607   DOI
17 N. M. Salbach, N. E. Mayo, S. Wood- Dauphinee, J. A. Hanley, C. L. Richards & R. Cote. (2004). A task-orientated intervention enhances walking distance and speed in the first year post stroke: A randomized controlled trial. Clinical rehabilitation, 18(5), 509-519. DOI : 10.1191/0269215504cr763oa   DOI
18 T. Tanaka, Y. Kariya & Y Hoshino. (2004). Histochemical study on the changes in muscle fibers in relation to the effects of aging on recovery from muscular atrophy caused by disuse in rats. Journal of Orthopedic Science, 9(1), 76-85. DOI : 10.1007/s00776-003-0734-7   DOI
19 F. Khan, H. Anjamparuthikal & M. F. Chevidikunnan. (2019). The comparison between isokinetic knee muscles strength in the ipsilateral and contralateral limbs and correlating with function of patients with stroke. Journal of Neurosciences in Rural Practice, 10(4), 683-689. DOI : 10.1055/s-0039-1700612   DOI
20 A. S. Ryan, C. L. Dobrovolny, G. V. Smith, K. H. Silver & R. F. Macko. (2002). Hemiparetic muscle atrophy and increased intramuscular fat in stroke patients. Archives of Physical Medicine and Rehabilitation, 83(12), 1703-1707. DOI : 10.1053/apmr.2002.36399   DOI
21 T. Hortobagyi et al. (2000). Changes in muscle strength, muscle fibre size and myofibrillar gene expression after immobilization and retraining in humans. The Journal of physiology, 524(1), 293-304. DOI : 10.1111/j.1469-7793.2000.00293.x   DOI
22 M. Kivimaki et al. (2019). Physical inactivity, cardiometabolic disease, and risk of dementia: an individual-participant meta-analysis. BMJ, 365, I1495. DOI : 10.1136/bmj.l1495
23 A. S. Aruin, T. Hanke, G. Chaudhuri, R. Harvey & N. Rao. (2000). Compelled weight bearing in persons with hemiparesis following stroke: the effect of a lift insert and goal-directed balance exercise. Journal of Rehabilitation Research and Development, 37(1), 65-72.
24 J. S. Roh & T. H. Kim. (2001). Reliability of plantar pressure meaures using the parotec system. Physical Therapy Korea, 8(3), 35-41.
25 H. W. Yoon, S. Y. Lee & H. M. Lee. (2009). The comparison of plantar foot pressure in normal side of normal people, affected side and less affected side of hemiplegic patients during stance phase. Journal of the Korean Society of Physical Medicine, 4(2), 87-92.