Manual wheelchair use: bouts of mobility in everyday life

Sharon Eve Sonenblum, Stephen Sprigle, Ricardo A Lopez, Sharon Eve Sonenblum, Stephen Sprigle, Ricardo A Lopez

Abstract

Background. This study aimed to describe how people move about in manual wheelchairs (MWCs) during everyday life by evaluating bouts of mobility or continuous periods of movement. Methods. A convenience sample of 28 MWC users was recruited. Participants' everyday mobility was measured using a wheel-mounted accelerometer and seat occupancy switch for 1-2 weeks. Bouts of mobility were recorded and characterized. Results. Across 29,200 bouts, the median bout lasted 21 seconds and traveled 8.6 m at 0.43 m/s. 85% of recorded bouts lasted less than 1 minute and traveled less than 30 meters. Participants' daily wheelchair activity included 90 bouts and 1.6 km over 54 minutes. Average daily occupancy time was 11 hours during which participants wheeled 10 bouts/hour and spent 10% of their time wheeling. Spearman-Brown Prophecy analysis suggested that 7 days were sufficient to achieve a reliability of 0.8 for all bout variables. Conclusions. Short, slow bouts dominate wheelchair usage in a natural environment. Therefore, clinical evaluations and biomechanical research should reflect this by concentrating on initiating movement, maneuvering wheelchairs, and stopping. Bouts of mobility provide greater depth to our understanding of wheelchair use and are a more stable metric (day-to-day) than distance or time wheeled.

Figures

Figure 1
Figure 1
Spoked MWC wheel instrumented with the data logger and its corresponding battery pack. The data logger axes (X′ and Y′), oriented radially and tangentially, respectively, are parallel to the wheel plane (X and Y). Only this plane was analyzed. Acceleration along the third axis, perpendicular to the wheel plane, was not used.
Figure 2
Figure 2
Histograms of typical bout parameters: distance, duration, and velocity.

References

    1. Harris F. Conceptual issues in the measurement of participation among wheeled mobility device users. Disability and Rehabilitation. 2007;2(3):137–148.
    1. Rimmer JH, Chen MD, McCubbin JA, Drum C, Peterson J. Exercise intervention research on persons with disabilities: what we know and where we need to go. American Journal of Physical Medicine and Rehabilitation. 2010;89(3):249–263.
    1. Warms CA, Belza BL, Whitney JD. Correlates of physical activity in adults with mobility limitations. Family and Community Health. 2007;30(supplement 2):S5–S16.
    1. Hu FB, Sigal RJ, Rich-Edwards JW, et al. Walking compared with vigorous physical activity and risk of type 2 diabetes in women: a prospective study. Journal of the American Medical Association. 1999;282(15):1433–1439.
    1. Johnson ST, Boulé NG, Bell GJ, Bell RC. Walking: a matter of quantity and quality physical activity for type 2 diabetes management. Applied Physiology, Nutrition and Metabolism. 2008;33(4):797–801.
    1. Levine JA, Mecrady SK, Lanningham-Foster LM, Kane PH, Foster RC, Manohar CU. The role of free-living daily walking in human weight gain and obesity. Diabetes. 2008;57(3):548–554.
    1. Orendurff MS, Schoen JA, Bernatz GC, Segal AD, Klute GK. How humans walk: bout duration, steps per bout, and rest duration. Journal of Rehabilitation Research and Development. 2008;45(7):1077–1090.
    1. Prajapati SK, Gage WH, Brooks D, Black SE, McIlroy WE. A novel approach to ambulatory monitoring: investigation into the quantity and control of everyday walking in patients with subacute stroke. Neurorehabilitation and Neural Repair. 2011;25(1):6–14.
    1. Rowe DA, Kemble CD, Robinson TS, Mahar MT. Daily walking in older adults: day-to-day variability and criterion-referenced validity of total daily step counts. Journal of Physical Activity & Health. 2007;4(4):434–446.
    1. Tudor-Locke C, Craig CL, Aoyagi Y, et al. How many steps/day are enough? For older adults and special populations. International Journal of Behavioral Nutrition and Physical Activity. 2011;8:p. 80.
    1. Tudor-Locke C, Craig CL, Brown WJ, et al. How many steps/day are enough? For older adults. International Journal of Behavioral Nutrition and Physical Activity. 2011;8:p. 79.
    1. Bohannon RW. Number of pedometer-assessed steps taken per day by adults: a descriptive meta-analysis. Physical Therapy. 2007;87(12):1642–1650.
    1. Cooper RA, Tolerico M, Kaminski BA, Spaeth D, Ding D, Cooper R. Quantifying wheelchair activity of children: a pilot study. American Journal of Physical Medicine and Rehabilitation. 2008;87(12):977–983.
    1. Karmarkar AM, Collins DM, Kelleher A, Ding D, Oyster M, Cooper RA. Manual wheelchair-related mobility characteristics of older adults in nursing homes. Disability and Rehabilitation. 2010;5(6):428–437.
    1. Levy CE, Buman MP, Chow JW, Tillman MD, Fournier KA, Giacobbi P. Use of power assist wheels results in increased distance traveled compared with conventional manual wheeling. American Journal of Physical Medicine and Rehabilitation. 2010;89(8):625–634.
    1. Oyster ML, Karmarkar AM, Patrick M, Read MS, Nicolini L, Boninger ML. Investigation of factors associated with manual wheelchair mobility in persons with spinal cord injury. Archives of Physical Medicine and Rehabilitation. 2011;92(3):484–490.
    1. Tolerico ML, Ding D, Cooper RA, et al. Assessing mobility characteristics and activity levels of manual wheelchair users. Journal of Rehabilitation Research and Development. 2007;44(4):561–571.
    1. Harris AM, Lanningham-Foster LM, McCrady SK, Levine JA. Nonexercise movement in elderly compared with young people. American Journal of Physiology. 2007;292(4):E1207–E1212.
    1. Sonenblum SE, Sprigle S, Harris FH, Maurer CL. Characterization of power wheelchair use in the home and community. Archives of Physical Medicine and Rehabilitation. 2008;89(3):486–491.
    1. Sonenblum SE, Sprigle S, Caspall J, Lopez R. Validation of an accelerometer-based method to measure the use of manual wheelchairs. Medical Engineering & Physics. 2012;34(6):781–786.
    1. Wainer H, Thissen D. True score theory: the traditional method. In: Wainer H, Thissen D, editors. Test Scoring. New Jersey, NJ, USA: Lawrence Erlbaum Associates; 2001.
    1. Koontz AM, Cooper RA, Boninger ML, Yang Y, Impink BG, van der Woude LHV. A kinetic analysis of manual wheelchair propulsion during start-up on select indoor and outdoor surfaces. Journal of Rehabilitation Research and Development. 2005;42(4):447–458.
    1. Beekman CE, Miller-Porter L, Schoneberger M. Energy cost of propulsion in standard and ultralight wheelchairs in people with spinal cord injuries. Physical Therapy. 1999;79(2):146–158.
    1. Kwarciak AM, Turner JT, Guo L, Richter WM. Comparing handrim biomechanics for treadmill and overground wheelchair propulsion. Spinal Cord. 2011;49(3):457–462.

Source: PubMed

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