Documenting outdoor activity and travel behaviour in persons with neurological conditions using travel diaries and GPS tracking technology: A pilot study in multiple sclerosis

Disability and Rehabilitation

Volumn 35, Issue 20, 2013, Pages 1718-1725

  Neven, An ^a   Janssens, Davy ^a   Alders, Geert ^b,d   Wets, Geert ^a   Wijmeersch, Bart Van ^a,b,c   Feys, Peter ^a,b  

^a HASSELT UNIVERSITY   (Belgium)

^b PHL University College   (Belgium)

^c Rehabilitation and MS Centre   (Belgium)

^d MICROSOFT   (United States)

Author keywords

GPS tracking technologies; Multiple sclerosis; Travel

Indexed keywords

ADULT; ARTICLE; BELGIUM; DISABILITY; DISABLED PERSON; EXPLORATORY BEHAVIOR; FEMALE; GEOGRAPHIC INFORMATION SYSTEM; HUMAN; LEISURE; MALE; METHODOLOGY; MIDDLE AGED; MULTIPLE SCLEROSIS; PATHOPHYSIOLOGY; PILOT STUDY; PSYCHOLOGICAL ASPECT; REMOTE SENSING; SELF REPORT; STATISTICS; TRAVEL; PROCEDURES; PSYCHOLOGY; STATISTICS AND NUMERICAL DATA;

ADULT; BELGIUM; DISABILITY EVALUATION; DISABLED PERSONS; EXPLORATORY BEHAVIOR; FEMALE; GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; LEISURE ACTIVITIES; MALE; MIDDLE AGED; MULTIPLE SCLEROSIS; PILOT PROJECTS; REMOTE SENSING TECHNOLOGY; RESEARCH DESIGN; SELF REPORT; TRAVEL;

EID: 84883732478     PISSN: 09638288     EISSN: 14645165     Source Type: Journal    
DOI: 10.3109/09638288.2012.751137     Document Type: Article

References (39)

1. Turpin KVL, Carroll LJ, Cassidy JD, Hader WJ. Deterioration in the health-related quality of life of persons with multiple sclerosis: the possible warning signs. Mult Scler 2007;13:1038-45.
2. Vaney C, Blaurock H, Gattlen B, Meisels C. Assessing mobility in multiple sclerosis using the Rivermead Mobility Index and gait speed. Clin Rehabil 1996;10:216-26.
3. Schultheis MT, Garay E, DeLuca J. The influence of cognitive impairment on driving performance in multiple sclerosis. Neurology 2001;56:1089-94.
4. Einarsson U, Gottberg K, Frederikson S, von Koch L. Activities of daily living and social activities in people with multiple sclerosis in Stockholm County. Clin Rehabil 2006;20:543-51.
5. Lexell EM, Iwarsson S, Lexell J. The complexity of daily occupations in multiple sclerosis. Scand J Occup Ther 2006; 13:241-8.
6. Finlayson M, Impey WM, Nicolle C, Edwards J. Self-care, productivity and leisure limitations of people with multiple sclerosis in Manitoba. Can J Occup Ther 1998;65:299-308.
7. Hakim EA, Bakheit AM, Bryant TN, et al. The social impact of multiple sclerosis - a study of 305 patients and their relatives. Disabil Rehabil 2000;22:288-93.
8. Khan F, Pallant JF. Use of International Classification of Functioning, Disability and Health (ICF) to describe patientreported disability in multiple sclerosis and identification of relevant environmental factors. J Rehabil Med 2007;39:63-70.
9. Roessler RT, Rumrill PD, Fitzgerald SM. Predictors of employment status for people with multiple sclerosis. Rehabil Counsel Bull 2004;47:96-103.
10. Phillips LJ, Stuifbergen AK. Predicting continued employment in persons with multiple sclerosis. J Rehabil 2006;72:35-43.
11. Paltamaa J, Sarasoja T, Wikström J, Mälkiä E. Physical functioning in multiple sclerosis: a population-based study in central Finland. J Rehabil Med 2006;38:339-45.
12. WHO. International classification of functioning, disability and health: ICF. Geneva: World Health Organization; 2001.
13. Finlayson M, Denend TV. Experiencing the loss of mobility: perspectives of older adults with MS. Disabil Rehabil 2003; 25:1168-80.
14. Meert H. Maken we vooruitgang in het bestrijden van vervoersarmoede in Vlaanderen? Vlaamse Overheid, Brussels: Ministerie van de Vlaamse Gemeemschap; 2003.
15. Motl RW, McAuley E, Snook EM. Physical activity and multiple sclerosis: a meta-analysis. Mult Scler 2005;11:459-63.
16. Gijbels D, Alders G, van Hoof E, et al. Predicting habitual walking performance in multiple sclerosis: relevance of capacity and selfreport measures. Mult Scler 2010;16:618-26.
17. Wallace RB, Franc D. Literature review of the status of research on the transportation and mobility needs of older women. Washington, DC: United States Department of Transportation, National Highway Traffic Safety Administration; 1999.
18. Shephard RJ. Review. Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med 2003;37:197-206.
19. Prince SA, Adamo KB, Hamel ME, et al. A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Activ 2008;5:56.
20. Gosney JL, Scott JA, Snook EM, Motl RW. Physical activity and multiple sclerosis: validity of self-report and objective measures. Fam Community Health 2007;30:144-50.
21. Hale L, Williams K, Ashton C, et al. Reliability of RT3 accelerometer for measuring mobility in people with multiple sclerosis: a pilot study. J Rehabil Res Dev 2007;44:619-27.
22. Smith SJ, Young CA. The role of affect on the perception of disability in multiple sclerosis. Clin Rehabil 2000;14:50-4.
23. Shoval N, Auslander GK, Freytag T, et al. The use of advanced tracking technologies for the analysis of mobility in Alzheimer's disease and related cognitive diseases. BMC Geriatr 2008;8:7.
24. Wendel K, Stahl A, Risberg J, et al. Post-stroke functional limitations and changes in use of mode in transport. Scand J Occup Ther 2010;17:162-74.
25. Risser R, Iwarsson S, Stahl A. How do people with cognitive functional limitations post-stroke manage the use of buses in local public transport? Transport Res F 2012;15:111-18.
26. Logan PA, Dyas J. Using an interview study of transport use by people who have had a stroke to inform rehabilitation. Clin Rehabil 2004;18:703-8.
27. McDonald WI, Compston A, Edan G, et al. Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis. Ann Neurol 2001;50:121-7.
28. World Medical Association. Declaration of Helsinki - ethical principles for medical research involving human subjects. Ferney-Voltaire, France: World Medical Association; 2008.
29. Hauser SL, Dawson DM, Lehrich JR, et al. Intensive immunosuppression in progressive multiple sclerosis. A randomized, three-arm study of high-dose intravenous cyclophosphamide, plasma exchange, and ACTH. N Engl J Med 1983;308:173-80.
30. National Multiple Sclerosis Society. Multiple sclerosis functional composite - administration and scoring manual. New York: National Multiple Sclerosis Society; 2001.
31. Duff K, Humphreys Clark JD, O'Bryant SE, et al. Utility of the RBANS in detecting cognitive impairment associated with Alzheimer's disease: sensitivity, specificity, and positive and negative predictive powers. Arch Clin Neuropsychol 2008; 23:603-12.
32. Kos D, Nagels G, D'Hooghe MB, et al. A rapid screening tool for fatigue impact in multiple sclerosis. BMC Neurol 2006;6:27.
33. Bambauer KZ, Locke SE, Aupont O, et al. Using the Hospital Anxiety and Depression Scale to screen for depression in cardiac patients. Gen Hosp Psychiatry 2005;27:275-84.
34. Bellemans T, Kochan B, Janssens D, et al. In the field evaluation of personal digital assistant enabled by global positioning system: impact on quality of activity and diary data. Proceedings of the 87th Annual Meeting of the Transportation Research Board (TRB); 2008 Jan 13-17; Washington, DC, USA.
35. Duncan MJ, Badland HM, Mummery WK. Review. Applying GPS to enhance understanding of transport-related physical activity. J Sci Med Sport 2009;12:549-56.
36. Shoval N, Auslander G, Cohen-Shalom K, et al. What can we learn about the mobility of the elderly in the GPS era? J Transport Geogr 2010;18:603-12.
37. Janssens AC, van Doorn PA, de Boer JP, et al. Impact of recently diagnosed multiple sclerosis on quality of life, anxiety, depression and distress of patients and partners. Acta Neurol Scand 2003;108:389-95.
38. Devos H, Brijs T, Alders G, et al. Driving performance in persons with mild to moderate multiple sclerosis. Disabil Rehabil (forthcoming article).
39. Kobelt G, Berg J, Lindgren P, et al. Costs and quality of life for patients with multiple sclerosis in Belgium. Eur J Health Econ 2006;7:S24-33.