Factor analysis of the Beck Depression Inventory-II with patients with chronic fatigue syndrome

This study examined the properties of the Beck Depression Inventory-II (BDI-II) in a sample of 111 patients with chronic fatigue syndrome (CFS). Exploratory factor analysis identified two factors. The mean score for the Somatic-Affective factor was significantly higher than the Cognitive factor. Con...

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Bibliographic Details
Published in:Journal of health psychology 2012-09, Vol.17 (6), p.799-808
Main Authors: Brown, Molly, Kaplan, Carly, Jason, Leonard
Format: Article
Language:English
Subjects:
Adult
Adult and adolescent clinical studies
Biological and medical sciences
Chronic fatigue syndrome
Cognitive ability
Depression
Depression - diagnosis
Depression - psychology
Discriminant validity
Exploratory factor analysis
Factor analysis
Factor Analysis, Statistical
Fatigue Syndrome, Chronic - diagnosis
Fatigue Syndrome, Chronic - psychology
Female
Humans
Illness
Male
Medical sciences
Mental health
Mental illness
Methodology
Mood disorders
Patients
Primary health care
Property
Psychiatric Status Rating Scales - statistics & numerical data
Psychology. Psychoanalysis. Psychiatry
Psychometrics. Diagnostic aid systems
Psychopathology. Psychiatry
Reproducibility of Results
Somatoform Disorders - diagnosis
Somatoform Disorders - psychology
Symptoms
Techniques and methods
Validity
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Summary:This study examined the properties of the Beck Depression Inventory-II (BDI-II) in a sample of 111 patients with chronic fatigue syndrome (CFS). Exploratory factor analysis identified two factors. The mean score for the Somatic-Affective factor was significantly higher than the Cognitive factor. Convergent and discriminant validity were assessed for BDI-II total score, the two factor scores, and the BDI for Primary Care (BDI-PC). The BDI-PC and Cognitive factor demonstrated superior validity. Results suggest patients endorse BDI-II somatic items that overlap with CFS symptoms at a high rate. Factor scores should be evaluated separately, or the BDI-PC should be utilized with this population.
ISSN:1359-1053
1461-7277
DOI:10.1177/1359105311424470