Physical performance in persons with spinal cord injuries after discharge from rehabilitation

Dallmeijer, Annet J.; Woude, Lucas H V van der; Hollander, Peter; Angenot, Edmond L.

doi:10.1097/00005768-199908000-00006

Cited by 33 publications

(31 citation statements)

References 11 publications

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“…First, we tested able-bodied participants, so that we were able to avoid the influence on LRC of potential respiratory and/or motor problems that are associated with spinal cord injuries or that may have resulted from secondary medical complications associated with wheelchair use (Glaser, Sawka, Young, & Suryaprasad, 1980;Janssen, van Oers, Hollander, Veeger, & van der Woude, 1993). Nonwheelchair-dependent populations also tend to be more homogeneous and can be challenged to a greater degree during wheelchair exercises (van der Woude, van Croonenborg, Wolff, Dallmeijer, & Hollander, 1999). Challenge may be operationalized as the participant's energy expenditure or power output, which is the product of velocity and any resistance (e.g., air and friction) that the participant encounters during the task.…”

Section: Goals Of the Present Studymentioning

confidence: 99%

Coupling of breathing and movement during manual wheelchair propulsion.

Amazeen¹,

Amazeen²,

Beek³

2001

Journal of Experimental Psychology: Human Perception and Perfor

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The hypothesis of this study was that stable coordination patterns may be found both within and between physiological subsystems. Many studies have been conducted on both monofrequency and multifrequency coordination, with a focus on both the frequency and phase relations among the limbs. In the present study, locomotor-respiratory coupling was observed in the maintenance of small-integer frequency ratios (2:1, 3:1, and 4:1) and in the consistent placement of the inspiratory phase just after the onset of the movement cycle during wheelchair propulsion. Level of experience and various motor and respiratory parameters were manipulated. Coupling was observed across levels of experience. Increases in movement frequency were accompanied by a shift to larger-integer ratios, suggesting that a single modeling strategy (e.g., the Farey tree; D. L. Gonzalez & O. Piro, 1985) may be used for coordination both within the motor subsystem and between it and other physiological subsystems.Humans and animals alike demonstrate a discrete number of stable coordination patterns. Patterns of locomotion, called gaits, are limited in number and easily recognizable. For quadrupeds, the three most common gaits are the walk, trot, and gallop, although more complex subdivisions of gait are possible (for an overview, see Collins & Stewart, 1993;Schoner, Jiang, & Kelso, 1990). In bipedal locomotion, spontaneously produced patterns are limited to the walk or run (antiphase) and the jump (inphase) patterns. In all of these patterns, the limbs move at the same frequency, so that the different patterns may be characterized by different phase relations between the limbs. When the constraint of postural stability is removed, observed motor patterns become more complex and different phase relations (e.g., 90°, Zanone & Kelso, 1992) can be acquired. The HKB model, a dynamical model first developed by Haken, Kelso, and Bunz (1985), accommodates the different monofrequency coordination patterns observed including the effects of learning, handedness, and attention (see summary in Amazeen, Amazeen, & Turvey, 1998). Multifrequency coordination patterns-in which the limbs move at different frequencies, as in drumming (e.g.,

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Section: Goals Of the Present Studymentioning

confidence: 99%

Coupling of breathing and movement during manual wheelchair propulsion.

Amazeen¹,

Amazeen²,

Beek³

2001

Journal of Experimental Psychology: Human Perception and Perfor

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“…Subsequently, an inactive lifestyle may further reduce physical capacity. 2,3 A low level of physical capacity is associated with a decrease in activity, 3,4 functional status 5,6 and participation. 2,7 This may result in the vicious circle of decreased physical capacity leading to decreased activity and participation, which further reduces physical capacity, and so on.…”

Section: Introductionmentioning

confidence: 99%

Physical capacity in wheelchair-dependent persons with a spinal cord injury: a critical review of the literature

et al. 2006

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Study design: Review of publications. Objective: To assess the level of physical capacity (peak oxygen uptake, peak power output, muscle strength of the upper extremity and respiratory function) in wheelchair-dependent persons with a spinal cord injury (SCI). Setting: Erasmus MC, University Medical Centre Rotterdam, The Netherlands. Methods: Pubmed (Medline) search of publications from 1980 onwards. Studies were systematically assessed. Weighted means were calculated for baseline values. Results: In tetraplegia, the weighted mean for peak oxygen uptake was 0.89 l/min for the wheelchair exercise test (WCE) and 0.87 l/min for arm-cranking or hand-cycling (ACE). The peak power output was 26 W (WCE) and 40 W (ACE). In paraplegia, the peak oxygen uptake was 2.10 l/min (WCE) and 1.51 l/min (ACE), whereas the peak power output was 74 W (ACE) and 85 W (WCE). In paraplegia, muscle strength of the upper extremity and respiratory function were comparable to that in the able-bodied population. In tetraplegia muscle strength varied greatly, and respiratory function was reduced to 55-59% of the predicted values for an age-, gender-and height-matched able-bodied population. Conclusions: Physical capacity is reduced and varies in SCI. The variation between results is caused by population and methodological differences. Standardized measurement of physical capacity is needed to further develop comparative values for clinical practice and rehabilitation research.

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“…1,3 Important prerequisites for ADL are upper extremity function 4,5 and physical capacity. 6 Other important factors are age, gender, body mass, 7 physical fitness, 7,8 motivation, psychosocial status, medical complications 8 and sociocultural background. 9 Earlier studies 5,10 have shown that preserved motor level can predict the ability of patients with cervical SCI to become independent in ADL.…”

Section: Introductionmentioning

confidence: 99%