ArticleScandinavian journal of child and adolescent psychiatry and psychology2025
Discriminability of the Beck Depression Inventory and its Abbreviations in an Adolescent Psychiatric Sample.
Article in Scandinavian journal of child and adolescent psychiatry and psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: The Beck Depression Inventory (BDI) is a widely acknowledged self-report screening tool for evaluating the presence and intensity of depressive symptoms. The BDI-IA, although an older version, is highly correlated with the updated BDI-II, remains clinically valuable, and is widely used due to its free availability. Aim: This study aimed to examine the psychometric properties of the BDI-IA and compare its diagnostic accuracy with the abbreviated BDI-SF, BDI-PC, and BDI-6 versions against gold-standard research diagnoses in a representative Finnish adolescent clinical population. Methods: The participants were referred outpatient adolescents aged 13-20 years (N = 752, 73% female). We investigated structural validity with item factor analysis and evaluated the criterion validity of mean scores and factor scores with various diagnostic measures. Sample-optimal cut-offs (criterion unweighted Cohen's kappa) were estimated with a bootstrap procedure. Results: The sample-optimal cut-off for the full BDI was 19, slightly higher than that suggested by the previous literature. The abbreviations of the BDI-IA were demonstrated to be as good as the full scale in detecting depressive symptoms in all three diagnostic categorizations. Conclusion: The use of brief and user-friendly questionnaires such as the BDI-PC or BDI-6 is recommended to ensure optimal depression screening and minimize the administrative burden, especially in primary care settings where clinical decision-making and referrals often need to occur within a limited time frame.
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