Walking Distance as a Predictor of Falls in People With Multiple Sclerosis

Physiotherapy Research International

Volumn 21, Issue 2, 2016, Pages 102-108

  Nilsagård, Ylva ^a   Westerdahl, Elisabeth ^a   Wittrin, Anna ^a   Gunnarsson, Martin ^a  

^a ÖREBRO UNIVERSITY HOSPITAL   (Sweden)

Author keywords

Falls; Multiple sclerosis; Prediction; Walking

Indexed keywords

ADULT; BODY EQUILIBRIUM; FALLING; FEMALE; HUMAN; MALE; MIDDLE AGED; MULTIPLE SCLEROSIS; PHYSIOLOGY; PREDICTIVE VALUE; PREVENTION AND CONTROL; PROSPECTIVE STUDY; REGISTER; RISK ASSESSMENT; SEVERITY OF ILLNESS INDEX; STATISTICS AND NUMERICAL DATA; SWEDEN; WALKING;

ACCIDENTAL FALLS; ADULT; FEMALE; HUMANS; MALE; MIDDLE AGED; MULTIPLE SCLEROSIS; POSTURAL BALANCE; PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; REGISTRIES; RISK ASSESSMENT; SEVERITY OF ILLNESS INDEX; SWEDEN; WALKING;

EID: 84971631315     PISSN: 13582267     EISSN: 14712865     Source Type: Journal    
DOI: 10.1002/pri.1625     Document Type: Article

References (36)

1. Benedetti MG, Piperno R, Simoncini L, Bonato P, Tonini A, Giannini S. Gait abnormalities in minimally impaired multiple sclerosis patients. Multiple Sclerosis 1999; 5: 363-368.
2. Cameron MH, Wagner JM. Gait abnormalities in multiple sclerosis: pathogenesis, evaluation, and advances in treatment. Current Neurology and Neuroscience Reports 2011; 11: 507-515.
3. Cattaneo D, De Nuzzo C, Fascia T, Macalli M, Pisoni I, Cardini R. Risks of falls in subjects with multiple sclerosis. Archives of Physical Medicine and Rehabilitation 2002; 83: 864-867.
4. Coote S, Hogan N, Franklin S. Falls in people with multiple sclerosis who use a walking aid: prevalence, factors, and effect of strength and balance interventions. Archives of Physical Medicine and Rehabilitation 2013; 94: 616-621.
5. D'Orio VL, Foley FW, Armentano F, Picone MA, Kim S, Holtzer R. Cognitive and motor functioning in patients with multiple sclerosis: neuropsychological predictors of walking speed and falls. Journal of the Neurological Sciences 2012; 316: 42-46.
6. Finlayson ML, Peterson EW, Cho CC. Risk factors for falling among people aged 45 to 90years with multiple sclerosis. Archives of Physical Medicine and Rehabilitation 2006; 87: 1274-1279.
7. Goldman MD, Marrie RA, Cohen JA. Evaluation of the six-minute walk in multiple sclerosis subjects and healthy controls. Multiple Sclerosis 2008; 14: 383-390.
8. Goldman MD, Motl RW, Rudick RA. Possible clinical outcome measures for clinical trials in patients with multiple sclerosis. Therapeutic Advances in Neurological Disorders 2010; 3: 229-239.
9. Gunn H, Creanor S, Haas B, Marsden J, Freeman J. Risk factors for falls in multiple sclerosis: an observational study. Multiple Sclerosis 2013a; 19: 1913-1922.
10. Gunn HJ, Newell P, Haas B, Marsden JF, Freeman JA. Identification of risk factors for falls in multiple sclerosis: a systematic review and meta-analysis. Physical Therapy 2013b; 93: 504-513.
11. Hobart JC, Riazi A, Lamping DL, Fitzpatrick R, Thompson AJ. Measuring the impact of MS on walking ability: the 12-Item MS Walking Scale (MSWS-12). Neurology 2003; 60: 31-36.
12. Kasser SL, Jacobs JV, Foley JT, Cardinal BJ, Maddalozzo GF. A prospective evaluation of balance, gait, and strength to predict falling in women with multiple sclerosis. Archives of Physical Medicine and Rehabilitation 2011; 92: 1840-1846.
13. Kelleher KJ, Spence W, Solomonidis S, Apatsidis D. The characterisation of gait patterns of people with multiple sclerosis. Disability and Rehabilitation 2010; 32: 1242-1250.
14. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 1983; 33: 1444-1452.
15. Lamb SE, Jorstad-Stein EC, Hauer K, Becker C. Development of a common outcome data set for fall injury prevention trials: the Prevention of Falls Network Europe consensus. Journal of the American Geriatrics Society 2005; 53: 1618-1622.
16. Martin CL, Phillips BA, Kilpatrick TJ, Butzkueven H, Tubridy N, McDonald E, Galea MP. Gait and balance impairment in early multiple sclerosis in the absence of clinical disability. Multiple Sclerosis 2006; 12: 620-628.
17. Matsuda PN, Shumway-Cook A, Bamer AM, Johnson SL, Amtmann D, Kraft GH. Falls in multiple sclerosis. Pm r 2011; 3: 624-632; quiz 632.
18. Matsuda PN, Shumway-Cook A, Ciol MA, Bombardier CH, Kartin DA. Understanding falls in multiple sclerosis: association of mobility status, concerns about falling, and accumulated impairments. Physical Therapy 2012; 92: 407-415.
19. Moen SM, Celius EG, Nordsletten L, Holmoy T. Fractures and falls in patients with newly diagnosed clinically isolated syndrome and multiple sclerosis. Acta Neurol Scand 2011; 124(Suppl 191): 79-82.
20. Motl RW, Balantrapu S, Pilutti L, Dlugonski D, Suh Y, Sandroff BM, Lane A, Fernhall B. Symptomatic correlates of six-minute walk performance in persons with multiple sclerosis. European Journal of Physical and Rehabilitation Medicine 2013; 49: 59-66.
21. Motl RW, Suh Y, Balantrapu S, Sandroff BM, Sosnoff JJ, Pula J, Goldman MD, Fernhall B. Evidence for the different physiological significance of the 6- and 2-minute walk tests in multiple sclerosis. BMC Neurology 2012; 12: 6.
22. Nilsagard Y, Denison E, Gunnarsson LG, Bostrom K. Factors perceived as being related to accidental falls by persons with multiple sclerosis. Disability and Rehabilitation 2009a; 31: 1301-1310.
23. Nilsagard Y, Lundholm C, Denison E, Gunnarsson LG. Predicting accidental falls in people with multiple sclerosis - a longitudinal study. Clinical Rehabilitation 2009b; 23: 259-269.
24. Paltamaa J, Sarasoja T, Leskinen E, Wikstrom J, Malkia E. Measures of physical functioning predict self-reported performance in self-care, mobility, and domestic life in ambulatory persons with multiple sclerosis. Archives of Physical Medicine and Rehabilitation 2007; 88: 1649-1657.
25. Penner IK, Raselli C, Stocklin M, Opwis K, Kappos L, Calabrese P. The Fatigue Scale for Motor and Cognitive Functions (FSMC): validation of a new instrument to assess multiple sclerosis-related fatigue. Multiple Sclerosis 2009; 15: 1509-1517.
26. Phan-Ba R, Calay P, Grodent P, Delrue G, Lommers E, Delvaux V, Moonen G, Belachew S. Motor fatigue measurement by distance-induced slow down of walking speed in multiple sclerosis. PLoS One 2012; 7: e34744.
27. Prosperini L, Fortuna D, Gianni C, Leonardi L, Pozzilli C. The diagnostic accuracy of static posturography in predicting accidental falls in people with multiple sclerosis. Neurorehabilitation and Neural Repair 2013; 27: 45-52.
28. Prosperini L, Kouleridou A, Petsas N, Leonardi L, Tona F, Pantano P, Pozzilli C. The relationship between infratentorial lesions, balance deficit and accidental falls in multiple sclerosis. Journal of the Neurological Sciences 2011; 304: 55-60.
29. Rao S, Society. TCFSGotNMS. A Manual for the Brief Repeatable Battery of Neuropsychological Tests in Multiple Sclerosis. Milwaukee, WI: Medical College of Wisconsin, 1990.
30. Ringel I, Zettl UK. Estimates of the walking distance in multiple sclerosis patients and their effect on the EDSS. Journal of Neurology 2006; 253: 666-667.
31. Shumway-Cook A, Brauer S, Woollacott M. Predicting the probability for falls in community-dwelling older adults using the Timed Up & Go Test. Physical Therapy 2000; 80: 896-903.
32. Smith A. Symbol Digit Modalities Test (SDMT) Manual. Los Angeles: Western Psychological Services, 1982.
33. Sosnoff JJ, Balantrapu S, Pilutti LA, Sandroff BM, Morrison S, Motl RW. Cognitive processing speed is related to fall frequency in older adults with multiple sclerosis. Archives of Physical Medicine and Rehabilitation 2013; 94: 1567-1572.
34. Sosnoff JJ, Sandroff BM, Pula JH, Morrison SM, Motl RW. Falls and physical activity in persons with multiple sclerosis. Mult Scler Int 2012; 2012: 315620.
35. van Winsen LM, Kragt JJ, Hoogervorst EL, Polman CH, Uitdehaag BM. Outcome measurement in multiple sclerosis: detection of clinically relevant improvement. Multiple Sclerosis 2010; 16: 604-610.
36. Wetzel JL, Fry DK, Pfalzer LA. Six-minute walk test for persons with mild or moderate disability from multiple sclerosis: performance and explanatory factors. Physiotherapy Canada 2011; 63: 166-180.