Title |
Adherence to and effectiveness of an individually tailored home-based exercise program for frail older adults, driven by mobility monitoring: design of a prospective cohort study
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Published in |
BMC Public Health, June 2014
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DOI | 10.1186/1471-2458-14-570 |
Pubmed ID | |
Authors |
Hilde AE Geraedts, Wiebren Zijlstra, Wei Zhang, Sjoerd Bulstra, Martin Stevens |
Abstract |
With the number of older adults in society rising, frailty becomes an increasingly prevalent health condition. Regular physical activity can prevent functional decline and reduce frailty symptoms. In particular, home-based exercise programs can be beneficial in reducing frailty of older adults and fall risk, and in improving associated physiological parameters. However, adherence to home-based exercise programs is generally low among older adults. Current developments in technology can assist in enlarging adherence to home-based exercise programs. This paper presents the rationale and design of a study evaluating the adherence to and effectiveness of an individually tailored, home-based physical activity program for frail older adults driven by mobility monitoring through a necklace-worn physical activity sensor and remote feedback using a tablet PC. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Portugal | 1 | <1% |
Switzerland | 1 | <1% |
United Kingdom | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 259 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 54 | 20% |
Student > Bachelor | 35 | 13% |
Student > Ph. D. Student | 30 | 11% |
Researcher | 25 | 9% |
Professor | 11 | 4% |
Other | 46 | 17% |
Unknown | 63 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 57 | 22% |
Medicine and Dentistry | 31 | 12% |
Sports and Recreations | 25 | 9% |
Social Sciences | 19 | 7% |
Computer Science | 10 | 4% |
Other | 43 | 16% |
Unknown | 79 | 30% |