Title |
V-TIME: a treadmill training program augmented by virtual reality to decrease fall risk in older adults: study design of a randomized controlled trial
|
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Published in |
BMC Neurology, February 2013
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DOI | 10.1186/1471-2377-13-15 |
Pubmed ID | |
Authors |
Anat Mirelman, Lynn Rochester, Miriam Reelick, Freek Nieuwhof, Elisa Pelosin, Giovanni Abbruzzese, Kim Dockx, Alice Nieuwboer, Jeffrey M Hausdorff |
Abstract |
Recent work has demonstrated that fall risk can be attributed to cognitive as well as motor deficits. Indeed, everyday walking in complex environments utilizes executive function, dual tasking, planning and scanning, all while walking forward. Pilot studies suggest that a multi-modal intervention that combines treadmill training to target motor function and a virtual reality obstacle course to address the cognitive components of fall risk may be used to successfully address the motor-cognitive interactions that are fundamental for fall risk reduction. The proposed randomized controlled trial will evaluate the effects of treadmill training augmented with virtual reality on fall risk. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Japan | 1 | 25% |
Netherlands | 1 | 25% |
Egypt | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Spain | 3 | <1% |
United States | 3 | <1% |
United Kingdom | 3 | <1% |
Mexico | 2 | <1% |
Brazil | 1 | <1% |
Italy | 1 | <1% |
Colombia | 1 | <1% |
Germany | 1 | <1% |
Netherlands | 1 | <1% |
Other | 2 | <1% |
Unknown | 865 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 123 | 14% |
Student > Bachelor | 121 | 14% |
Student > Ph. D. Student | 115 | 13% |
Researcher | 83 | 9% |
Student > Doctoral Student | 50 | 6% |
Other | 141 | 16% |
Unknown | 250 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 135 | 15% |
Nursing and Health Professions | 101 | 11% |
Psychology | 66 | 7% |
Neuroscience | 56 | 6% |
Engineering | 56 | 6% |
Other | 177 | 20% |
Unknown | 292 | 33% |