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Journal Abstract Search
380 related items for PubMed ID: 20207785
1. Predicting habitual walking performance in multiple sclerosis: relevance of capacity and self-report measures. Gijbels D, Alders G, Van Hoof E, Charlier C, Roelants M, Broekmans T, Eijnde BO, Feys P. Mult Scler; 2010 May; 16(5):618-26. PubMed ID: 20207785 [Abstract] [Full Text] [Related]
3. Effect of time of day on walking capacity and self-reported fatigue in persons with multiple sclerosis: a multi-center trial. Feys P, Gijbels D, Romberg A, Santoyo C, Gebara B, de Noordhout BM, Knuts K, Béthoux F, de Groot V, Vaney C, Dalgas U. Mult Scler; 2012 Mar; 18(3):351-7. PubMed ID: 21969239 [Abstract] [Full Text] [Related]
4. The relationship between upper leg muscle strength and walking capacity in persons with multiple sclerosis. Broekmans T, Gijbels D, Eijnde BO, Alders G, Lamers I, Roelants M, Feys P. Mult Scler; 2013 Jan; 19(1):112-9. PubMed ID: 22562952 [Abstract] [Full Text] [Related]
5. Measures of physical functioning predict self-reported performance in self-care, mobility, and domestic life in ambulatory persons with multiple sclerosis. Paltamaa J, Sarasoja T, Leskinen E, Wikström J, Mälkiä E. Arch Phys Med Rehabil; 2007 Dec; 88(12):1649-57. PubMed ID: 18047881 [Abstract] [Full Text] [Related]
6. Which walking capacity tests to use in multiple sclerosis? A multicentre study providing the basis for a core set. Gijbels D, Dalgas U, Romberg A, de Groot V, Bethoux F, Vaney C, Gebara B, Medina CS, Maamâgi H, Rasova K, de Noordhout BM, Knuts K, Feys P. Mult Scler; 2012 Mar; 18(3):364-71. PubMed ID: 21952098 [Abstract] [Full Text] [Related]
7. Predicting accidental falls in people with multiple sclerosis -- a longitudinal study. Nilsagård Y, Lundholm C, Denison E, Gunnarsson LG. Clin Rehabil; 2009 Mar; 23(3):259-69. PubMed ID: 19218300 [Abstract] [Full Text] [Related]
8. Accuracy of the actibelt(®) accelerometer for measuring walking speed in a controlled environment among persons with multiple sclerosis. Motl RW, Weikert M, Suh Y, Sosnoff JJ, Pula J, Soaz C, Schimpl M, Lederer C, Daumer M. Gait Posture; 2012 Feb; 35(2):192-6. PubMed ID: 21945386 [Abstract] [Full Text] [Related]
9. Accelerometry in persons with multiple sclerosis: measurement of physical activity or walking mobility? Weikert M, Motl RW, Suh Y, McAuley E, Wynn D. J Neurol Sci; 2010 Mar 15; 290(1-2):6-11. PubMed ID: 20060544 [Abstract] [Full Text] [Related]
10. Effects of 3 weeks' whole body vibration training on muscle strength and functional mobility in hospitalized persons with multiple sclerosis. Claerbout M, Gebara B, Ilsbroukx S, Verschueren S, Peers K, Van Asch P, Feys P. Mult Scler; 2012 Apr 15; 18(4):498-505. PubMed ID: 22084490 [Abstract] [Full Text] [Related]
11. Comparison of patient-reported outcomes of physical activity and accelerometry in people with multiple sclerosis and ambulatory impairment: A cross-sectional study. Wanitschek A, Seebacher B, Muehlbacher A, Brenneis C, Ehling R. Mult Scler Relat Disord; 2024 May 15; 85():105532. PubMed ID: 38452648 [Abstract] [Full Text] [Related]
12. Self-reported fatigue and energy cost during walking are not related in patients with multiple sclerosis. Kempen JC, de Groot V, Knol DL, Lankhorst GJ, Beckerman H. Arch Phys Med Rehabil; 2012 May 15; 93(5):889-95. PubMed ID: 22440485 [Abstract] [Full Text] [Related]
13. Predicting exercise capacity through submaximal fitness tests in persons with multiple sclerosis. Kuspinar A, Andersen RE, Teng SY, Asano M, Mayo NE. Arch Phys Med Rehabil; 2010 Sep 15; 91(9):1410-7. PubMed ID: 20801260 [Abstract] [Full Text] [Related]
14. Temporal evolution of remission following multiple sclerosis relapse and predictors of outcome. Hirst CL, Ingram G, Pickersgill TP, Robertson NP. Mult Scler; 2012 Aug 15; 18(8):1152-8. PubMed ID: 22217582 [Abstract] [Full Text] [Related]
15. Robot-assisted gait training in multiple sclerosis: a pilot randomized trial. Beer S, Aschbacher B, Manoglou D, Gamper E, Kool J, Kesselring J. Mult Scler; 2008 Mar 15; 14(2):231-6. PubMed ID: 17942510 [Abstract] [Full Text] [Related]
16. Clinical algorithm for improved prediction of ambulation and patient stratification after incomplete spinal cord injury. Zörner B, Blanckenhorn WU, Dietz V, EM-SCI Study Group, Curt A. J Neurotrauma; 2010 Jan 15; 27(1):241-52. PubMed ID: 19645527 [Abstract] [Full Text] [Related]
17. Robotic-assisted step training (lokomat) not superior to equal intensity of over-ground rehabilitation in patients with multiple sclerosis. Vaney C, Gattlen B, Lugon-Moulin V, Meichtry A, Hausammann R, Foinant D, Anchisi-Bellwald AM, Palaci C, Hilfiker R. Neurorehabil Neural Repair; 2012 Jan 15; 26(3):212-21. PubMed ID: 22140197 [Abstract] [Full Text] [Related]
18. Cognitive processing speed has minimal influence on the construct validity of Multiple Sclerosis Walking Scale-12 scores. Motl RW, Cadavid D, Sandroff BM, Pilutti LA, Pula JH, Benedict RH. J Neurol Sci; 2013 Dec 15; 335(1-2):169-73. PubMed ID: 24104065 [Abstract] [Full Text] [Related]
19. Resistance training improves gait kinematics in persons with multiple sclerosis. Gutierrez GM, Chow JW, Tillman MD, McCoy SC, Castellano V, White LJ. Arch Phys Med Rehabil; 2005 Sep 15; 86(9):1824-9. PubMed ID: 16181949 [Abstract] [Full Text] [Related]
20. Comparison of functional exercise capacity, pulmonary function and respiratory muscle strength in patients with multiple sclerosis with different disability levels and healthy controls. Bosnak-Guclu M, Gunduz AG, Nazliel B, Irkec C. J Rehabil Med; 2012 Jan 15; 44(1):80-6. PubMed ID: 22234321 [Abstract] [Full Text] [Related] Page: [Next] [New Search]