Title |
Reduced complexity of activity patterns in patients with Chronic Fatigue Syndrome: a case control study
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Published in |
BioPsychoSocial Medicine, June 2009
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DOI | 10.1186/1751-0759-3-7 |
Pubmed ID | |
Authors |
Christopher Burton, Hans Knoop, Nikola Popovic, Michael Sharpe, Gijs Bleijenberg |
Abstract |
Chronic fatigue syndrome (CFS) is an illness characterised by pervasive physical and mental fatigue without specific identified pathological changes. Many patients with CFS show reduced physical activity which, though quantifiable, has yielded little information to date. Nonlinear dynamic analysis of physiological data can be used to measure complexity in terms of dissimilarity within timescales and similarity across timescales. A reduction in these objective measures has been associated with disease and ageing. We aimed to test the hypothesis that activity patterns of patients with CFS would show reduced complexity compared to healthy controls. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 3% |
Netherlands | 1 | 3% |
United States | 1 | 3% |
Unknown | 28 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 7 | 23% |
Researcher | 5 | 16% |
Student > Ph. D. Student | 4 | 13% |
Student > Bachelor | 3 | 10% |
Student > Doctoral Student | 2 | 6% |
Other | 6 | 19% |
Unknown | 4 | 13% |
Readers by discipline | Count | As % |
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Psychology | 6 | 19% |
Medicine and Dentistry | 6 | 19% |
Agricultural and Biological Sciences | 5 | 16% |
Sports and Recreations | 3 | 10% |
Engineering | 2 | 6% |
Other | 4 | 13% |
Unknown | 5 | 16% |