Although engaging in an active lifestyle is beneficial for maintaining quality of life, a majority of wheelchair users are inactive. This study investigated the mobility characteristics and activity levels of manual wheelchair users in the residential setting and at the National Veterans Wheelchair Games (NVWG). Demographic factors that may have influenced activity in the home environment were also identified. Fifty-two manual wheelchair users completed a brief survey, and their activity was monitored with a custom data logger over a period of 13 or 20 days. We found that they traveled a mean +/- standard deviation of 2,457.0 +/- 1,195.7 m/d at a speed of 0.79 +/- 0.19 m/s for 8.3 +/- 3.3 h/d while using their primary wheelchair in the home environment. No significant differences in mobility characteristics or activity levels were found for level of spinal cord injury or disability. We also found that subjects traveled significantly farther and faster and were active for more hours during an average day at the NVWG than in the home environment (p < 0.001). We found that manual wheelchair users who were employed covered more distance, accumulated more minutes, and traveled a greater average maximum distance between consecutive stops than those who were unemployed. Results from this study provide a better understanding of the activity levels achieved by manual wheelchair users and insight into factors that may influence this activity.
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http://dx.doi.org/10.1682/jrrd.2006.02.0017 | DOI Listing |
Acad Pediatr
December 2024
Department of Learning Health Sciences and Family Medicine, the University of Michigan at Ann Arbor, 325 E. Eisenhower Parkway, Lower Level Suite 6, Ann Arbor, MI 48108.
Objective: Despite encountering many barriers to inclusion, people with disabilities are entering residency training in increasing numbers. However, the increase in representation among people with physical disabilities remains low and published case studies and accommodations processes for wheelchair users in pediatric residency are absent in the literature. To support the inclusion of residents with physical disabilities in residency, we outline a proactive approach to the accommodations process and inclusion of a resident with a physical disability in pediatric residency.
View Article and Find Full Text PDFArch Phys Med Rehabil
December 2024
Département d'opérations et systèmes de decision, Université Laval, Quebec City, QC, Canada.
Objective: To measure the effect of a community-based peer-led eHealth manual wheelchair (MWC) skills training program on community participation, wheelchair skills capacity and performance, wheelchair-specific self-efficacy, and health-related quality of life.
Design: Randomized control trial with wait-list control group.
Setting: Community.
Assist Technol
December 2024
School of Occupational Therapy, Faculty of Health, Dalhousie University, Nova Scotia, Canada.
This study translated and culturally adapted the Wheelchair Use Confidence Scale for Manual Wheelchair Users (WheelCon-M) and the Wheelchair Use Confidence Scale for Power Wheelchair Users (WheelCon-P) into Arabic and examined their reliability and validity. Internal consistency and test-retest reliability were examined, and concurrent validity was evaluated using Pearson correlation coefficients with the Arabic versions of the Functioning Everyday with a Wheelchair (FEW) and the Functional Mobility Assessment (FMA). The Arabic translated versions of the WheelCon-M (WheelCon-M-A) and the WheelCon-P (WheelCon-P-A) were administered to 33 adult wheelchair users.
View Article and Find Full Text PDFSensors (Basel)
November 2024
Humanitarian Technology (HuT) Labs, Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Amritapuri 690525, India.
Electroencephalography (EEG) is a non-invasive technique with high temporal resolution and cost-effective, portable, and easy-to-use features. Motor imagery EEG (MI-EEG) data classification is one of the key applications within brain-computer interface (BCI) systems, utilizing EEG signals from motor imagery tasks. BCI is very useful for people with severe mobility issues like quadriplegics, spinal cord injury patients, stroke patients, etc.
View Article and Find Full Text PDFSensors (Basel)
November 2024
Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
The increasing number of individuals with disabilities-over 61 million adults in the United States alone-underscores the urgent need for technologies that enhance autonomy and independence. Among these individuals, millions rely on wheelchairs and often require assistance from another person with activities of daily living (ADLs), such as eating, grooming, and dressing. Wheelchair-mounted assistive robotic arms offer a promising solution to enhance independence, but their complex control interfaces can be challenging for users.
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