Beck Depression Inventory (BDI-IA) adapted for HIV: Psychometric properties, sensitivity & specificity in depressive episodes, adjustment disorder & without symptomatology
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Abstract
Objective. We obtained the psychometric properties, sensitivity, specificity, and cut-off points to distinguish between a depressive episode, adjustment disorder and no symptoms.
Method. Prospective study with 2,022 PLWH (88% men), who completed the BDI-IA between 2016 and 2017. Subjects had a mean age of 31.9 ± 9.3 years, with 12.0 ± 5.6 years of schooling, and 4.5 ± 4.3 years since diagnosis. The differentiation of items, internal consistency, factor analysis, and calculation of sensitivity and specificity were tested.
Results. A Cronbach’s alpha coefficient of .91 was obtained. Through factorial analysis with orthogonal rotation (average intercorrelations r = .40, KMO .929), we obtained three factors: general factor of depression, somatic, and cognition, which explained 39.7%, 6.01%, and 5.49% of the variance, respectively. Only the items in the first factor (the short version with 12 items) were tested. With a cut-off point of 11, it had 85.5% sensitivity and 76% specificity [(AUC) = .865, 95% CI [.83, .90], p ≤ .001], and distinguished major depressive disorder from cases without mental symptoms.
Discussion and conclusion. We show that the short version of the BDI-IA is reliable, valid, sensitive, and specific for evaluating depression symptoms comorbid with HIV infection.
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