Title |
Differential diagnosis of chronic fatigue syndrome and major depressive disorder
|
---|---|
Published in |
International Journal of Behavioral Medicine, September 2006
|
DOI | 10.1207/s15327558ijbm1303_8 |
Pubmed ID | |
Authors |
Caroline Hawk, Leonard A. Jason, Susan Torres-Harding |
Abstract |
The goal of this study was to identify variables that successfully differentiated patients with chronic fatigue syndrome, major depressive disorder, and controls. Fifteen participants were recruited for each of these three groups, and discriminant function analyses were conducted. Using symptom occurrence and severity data from the Fukuda et al. (1994) definitional criteria, the best predictors were postexertional malaise, unrefreshing sleep, and impaired memory-concentration. Symptom occurrence variables only correctly classified 84.4% of cases, whereas 91.1% were correctly classified when using symptom severity ratings. Finally, when using percentage of time fatigue reported, postexertional malaise severity, unrefreshing sleep severity, confusion-disorientation severity, shortness of breath severity, and self-reproach to predict group membership, 100% were classified correctly. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Japan | 2 | 17% |
Germany | 2 | 17% |
United States | 1 | 8% |
France | 1 | 8% |
Switzerland | 1 | 8% |
Unknown | 5 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 83% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Unknown | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Greece | 1 | 1% |
Canada | 1 | 1% |
Slovenia | 1 | 1% |
Unknown | 71 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 18% |
Student > Master | 10 | 14% |
Student > Doctoral Student | 9 | 12% |
Student > Ph. D. Student | 5 | 7% |
Student > Bachelor | 5 | 7% |
Other | 15 | 20% |
Unknown | 17 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 18 | 24% |
Medicine and Dentistry | 15 | 20% |
Nursing and Health Professions | 7 | 9% |
Agricultural and Biological Sciences | 5 | 7% |
Social Sciences | 2 | 3% |
Other | 6 | 8% |
Unknown | 21 | 28% |