Posts Tagged walking competency

[Abstract] High Intensity Exercise for Walking Competency in Individuals with Stroke: A Systematic Review and Meta-Analysis

Abstract

OBJECTIVE:

To assess the effects of high intensity exercise on walking competency in individuals with stroke.

DATA SOURCES:

A systematic electronic searching of the PubMed, EMBASE, Web of Science, Cochrane Central Register of Controlled Trials (CENTRAL), CINAHL (EBSCOhost), and SPORTSDiscus (EBSCOhost) was initially performed up to June 25, 2019.

STUDY SELECTION:

Randomized controlled trials or clinical controlled trials comparing any walking or gait parameters of the high intensity exercise to lower intensity exercise or usual physical activities were included. The risk of bias of included studies was assessed by the Cochrane risk of bias tool. The quality of evidence was assessed using GRADE (Grading of Recommendations, Assessment, Development and Evaluation) system.

DATA EXTRACTION:

Data were extracted by 2 independent coders. The mean and standard deviation of the baseline and endpoint scores after training for walking distance, comfortable gait speed, gait analysis (cadence, stride length, and the gait symmetry), cost of walking, Berg Balance Scale , Time Up&Go (TUG) Test and adverse events were extracted.

DATA SYNTHESIS:

A total of 22 (n = 952) studies were included. Standardized mean difference (SMD), weighted mean difference (WMD), and odds ratios (ORs) were used to compute effect size and subgroup analysis was conducted to test the consistency of results with different characteristics of exercise and time since stroke. Sensitivity analysis was used to assess the robustness of the results, which revealed significant differences on walking distance (SMD = .32, 95% CI, .17-.46, P < .01, I2 = 39%; WMD = 21.76 m), comfortable gait speed (SMD = .28, 95% CI, .06-.49, P = .01, I2 = 47%; WMD = .04 m/s), stride length (SMD = .51, 95% CI, .13-.88, P < .01, I2 = 0%; WMD = .12 m) and TUG (SMD = -.36, 95% CI, -.72 to .01, P = .05, I2 = 9%; WMD = -1.89 s) in favor of high intensity exercise versus control group. No significant differences were found between the high intensity exercise and control group in adverse events, including falls (OR = 1.40, 95% CI, .69-2.85, P = .35, I2 = 11%), pain (OR = 3.34, 95% CI, .82-13.51, P = .09, I2 = 0%), and skin injuries (OR = 1.08, 95% CI, .30-3.90, P = .90, I2 = 0%).

CONCLUSIONS:

This systematic review suggests that high intensity exercise could be safe and more potent stimulus in enhancing walking competency in stroke survivors, with a capacity to improve walking distance, comfortable gait speed, stride length, and TUG compared with low to moderate intensity exercise or usual physical activities.

 

via High Intensity Exercise for Walking Competency in Individuals with Stroke: A Systematic Review and Meta-Analysis. – PubMed – NCBI

, , , , , , , , ,

Leave a comment

[Abstract+References] Six hours of task-oriented training optimizes walking competency post stroke: a randomized controlled trial in the public health-care system of South Africa

To evaluate a minimal dose intervention of six 1-hour sessions of task-oriented circuit gait training including a caregiver over a 12-week period to persons post stroke in the South African public health sector.

Stratified, single blinded, randomized controlled trial with three intervention groups.

Persons post stroke (n = 144, mean age 50 years, 72 women), mean 9.5 weeks post stroke.

Task group (n = 51)—accompanied by a caregiver; task-oriented circuit gait training (to improve strength, balance, and task performance while standing and walking). Strength group (n = 45); strength training of lower extremities while sitting and lying. Control group (n = 48); one 90-minute educational session on stroke management.

The six-minute walk test (6MinWT) was the primary outcome; the secondary outcomes included comfortable and fast gait speeds, Berg Balance Scale (BBS), and Timed Up and Go (TUG). Particpants evaluated at baseline, post intervention (12 weeks), and at follow-up 12 weeks later. Change scores were compared using generalized repeated measures analysis of variance (ANOVA).

Task group change scores for all outcomes post intervention and at follow-up were improved compared to the other groups (P-values between 0.000005 and 0.04). The change scores (mean, 1SD) between baseline and follow-up for the Task, Strength, and Control groups, respectively, were as follows: 6MinWT:119.52 m (81.92), 81.05 m (79.53), and 60.99 m (68.38); comfortable speed 0.35 m/s (0.23), 0.24 m/s (0.22), and 0.19 m/s (0.21); BBS: 9.94 (7.72), 6.93 (6.01), and 5.19 (4.80); and TUG: –14.24 seconds (16.86), –6.49 seconds (9.88), and –5.65 seconds (8.10).

Results support the efficacy of a minimal dose task-oriented circuit training program with caregiver help to enhance locomotor recovery and walking competency in these persons with stroke.

1. Feigin, VL, Lawes, CM, Bennett, DA. Worldwide stroke incidence and early case fatality reported in 56 population-based studies: a systematic review. Lancet Neurol 2009; 8: 355369Google ScholarCrossrefMedlineISI
2. Connor, M, Thorogood, M, Casserly, B. Prevalence of stroke survivors in rural South Africa: results from the Southern Africa Stroke Prevention Initiative (SASPI) Agincourt field site. Stroke 2004; 35: 627632Google ScholarCrossrefMedline
3. Mudzi, W, Stewart, A, Musenge, E. Community participation of patients 12 months post-stroke in Johannesburg, South Africa. Afr J Prim Health Care Fam Med 2013; 5(1): 426Google ScholarCrossref
4. Richards, CL, Malouin, F, Wood Dauphinee, S. Task-specific physical therapy for optimization of gait recovery in acute stroke patients. Arch Phys Med Rehabil 1993; 74: 612620Google ScholarCrossrefMedline
5. Dean, CM, Richards, CL, Malouin, F. Task-related circuit training improves performance of locomotor tasks in chronic stroke: a randomized, controlled pilot trial. Arch Phys Med Rehabil 2000; 81: 409417Google ScholarCrossrefMedlineISI
6. Salbach, NM, Mayo, NE, Wood-Dauphinee, S. A task-orientated intervention enhances walking distance and speed in the first year post stroke: a randomized controlled trial. Clin Rehabil 2004; 18: 509519Google ScholarLinkISI
7. Wevers, L, van, de, Port, I, Vermue, M. Effects of task-oriented circuit class training on walking competency after stroke: a systematic review. Stroke 2009; 40: 24502459Google ScholarCrossrefMedline
8. Perry, J, Garrett, M, Gronley, JK. Classification of walking handicap in the stroke population. Stroke 1995; 26: 982989Google ScholarCrossrefMedlineISI
9. Kosak, M, Smith, T. Comparison of the 2-, 6-, and 12-minute walk tests in patients with stroke. J Rehabil Res Dev 2005; 42: 103107Google ScholarMedline
10. Tang, A, Eng, J, Rand, D. Relationship between perceived and measured changes in walking after stroke. J Neurol Phys Ther 2012; 36: 115121Google ScholarCrossrefMedline
11. Salbach, NM, Mayo, NE, Higgins, J. Responsiveness and predictability of gait speed and other disability measures in acute stroke. Arch Phys Med Rehabil 2001; 82: 12041212Google ScholarCrossrefMedline
12. Wade, DT. Measurement in neurological rehabilitation. Curr Opin Neurol 1992; 5: 682686Google Scholar
13. Tilson, JK, Sullivan, KJ, Cen, SY. Meaningful gait speed improvement during the first 60 days poststroke: minimal clinically important difference. Phys Ther 2010; 90: 196208Google ScholarCrossrefMedlineISI
14. Berg, K, Wood-Dauphinee, S, Williams, JI. The Balance Scale: reliability assessment with elderly residents and patients with an acute stroke. J Rehabil Med 1995; 27: 2736Google Scholar
15. Stevenson, TJ. Detecting change in patients with stroke using the Berg balance scale. Aust J Physiother 2001; 47: 2938Google ScholarCrossrefMedline
16. Flansbjer, UB, Holmback, AM, Downham, D. Reliability of gait performance tests in men and women with hemiparesis after stroke. J Rehabil Med 2005; 37: 7582Google ScholarCrossrefMedlineISI
17. Mudzi, W, Stewart, A, Musenge, E. Effect of carer education on functional abilities of patients with stroke. Int J Ther Rehabil 2012; 19(7): 380385Google ScholarCrossref
18. Carr, JH, Shepherd, RB. Neurological rehabilitation: optimizing motor performance. Toronto, ON, Canada; EdinburghElsevier2010Google Scholar
19. Veerbeek, J, van Wegen, E, van Peppen, R. What is the evidence for physical therapy poststroke? A systematic review and meta-analysis. PLoS ONE 2014; 9: e87987Google ScholarCrossrefMedlineISI
20. Kim, CM, Eng, JJ, MacIntyre, DL. Effects of isokinetic strength training on walking in persons with stroke: a double-blind controlled pilot study. J Stroke Cerebrovasc Dis 2001; 10(6): 265273Google ScholarCrossrefMedline
21. Duncan, P, Sullivan, K, Behrman, A. Body-weight-supported treadmill rehabilitation after stroke. N Engl J Med 2011; 364: 20262036Google ScholarCrossrefMedlineISI
22. Van de Port, IGL, Wevers, LEG, Lindeman, E. Effects of circuit training as alternative to usual physiotherapy after stroke: randomised controlled trial. BMJ 2012; 344: e2672Google ScholarCrossrefMedline
23. Richards, CL, Malouin, F, Bravo, G. The role of technology in task-oriented training in persons with subacute stroke: a randomized controlled trial. Neurorehabil Neural Repair 2004; 18: 199211Google ScholarLinkISI
24. Lohse, KR, Lang, CE, Boyd, LA. Is more better? Using metadata to explore dose–response relationships in stroke rehabilitation. Stroke 2014; 45: 20532058Google ScholarCrossrefMedline
25. Tipping, B, de Villiers, L, Wainwright, H. Stroke in patients with human immunodeficiency virus infection. J Neurol Neurosurg Psychiatry 2007; 78: 13201324Google ScholarCrossrefMedline
26. Kugler, C, Altenhöner, T, Lochner, P. Does age influence early recovery from ischemic stroke? A study from the Hessian Stroke Data Bank. J Neurol 2003; 250: 676681Google ScholarCrossrefMedline
27. Stineman, MG, Fiedler, RC, Granger, CV. Functional task benchmarks for stroke rehabilitation. Arch Phys Med Rehabil 1998; 79: 497504Google ScholarCrossrefMedline
28. Bagg, S, Pombo, A, Hopman, W. Effect of age on functional outcomes after stroke rehabilitation. Stroke 2002; 33: 179185Google ScholarCrossrefMedlineISI
29. Africa, SS. Monthly earnings of South Africans2010http://www.statssa.gov.za/publications/P02112/P021122010.pdf (accessed 13 February 2017). Google Scholar
30. Africa, SS. National Household Travel Survey 2013: statistical release P0320. Statistics South Africa, http://www.statssa.gov.za/publications/P0320/P03202013.pdf (accessed 30 January 2017). Google Scholar
31. Knox, M, Stewart, A, Richards, CL. Similarities in the effect of different rehabilitation programmes on stroke survivors who are living with HIV and those without HIV. Physiotherapy 2015; 101: e768e769Google Scholar
32. Vloothuis, JDM, Mulder, M, Veerbeek, JM. Caregiver-mediated exercises for improving outcomes after stroke. Cochrane Database Syst Rev 2016; 12: CD011058. Google ScholarMedline
33. Dobkin, B. Behavioral self-management strategies for practice and exercise should be included in neurologic rehabilitation trials and care. Curr Opin Neurol 2016; 29: 693699Google ScholarCrossrefMedline
34. Mayo, N. Stroke rehabilitation at home: lessons learned and ways forward. Stroke 2016; 47: 16851691Google ScholarCrossrefMedline
35. Gudberg, C, Johansen-Berg, H. Sleep and motor learning: implications for physical rehabilitation after stroke. Front Neurol 2015; 6: 241Google ScholarCrossrefMedline
36. Kaseke, F, Gwanzura, L, Hakim, J. Target needs analysis for people who have survived stroke and their caregivers in local communities in Zimbabwe. Cent Afri J Med 2017; 63(1–3): 714Google Scholar
37. Kaseke, F, Stewart, A, Gwanzura, L. Clinical characteristics and outcome of patients with stroke admitted to tree tertiary hospitals in Zimbabwe: a retrospective one year study. Malawi Med J 2017; 29(2): 177182Google ScholarCrossrefMedline

via Six hours of task-oriented training optimizes walking competency post stroke: a randomized controlled trial in the public health-care system of South Africa – Megan Knox, Aimee Stewart, Carol L Richards, 2018

, , , , , , ,

Leave a comment

%d bloggers like this: