Clinical properties of the short mood and feelings questionnaire: development of a free calculator based on the Brazilian high-risk cohort study

Jobim, Gabriele Dos Santos, Amaral, João Villanova do, Pacheco, João Pedro Gonçalves, Gadelha, Ary, Miguel, Euripedes Constantino, Bressan, Rodrigo Affonseca, Pan, Pedro Mario, Rohde, Luis Augusto, Salum, Giovanni Abrahão and Hoffmann, Mauricio Scopel (2025) Clinical properties of the short mood and feelings questionnaire: development of a free calculator based on the Brazilian high-risk cohort study. Journal of Psychiatric Research, 190. 457 - 464. ISSN 0022-3956

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Abstract

Background: The Short Mood and Feelings Questionnaire (SMFQ) is a validated tool for assessing depressive symptoms in youth, though no specific cut-point exists for the Brazilian population. Item response theory (IRT) and interval likelihood ratios (ILRs) offer refined methods to monitor symptoms but involve complex calculations that hinder clinical implementation. Methods: Cross-sectional data were drawn from an urban school-based sample (Brazilian High-Risk Cohort Study in 2018–2019, n = 1,905, aged 14–23, 46.6 % females). Diagnoses were based on Development and Well-Being Assessment (DAWBA) clinical ratings. SMFQ factor scores were estimated using IRT and transformed into T-scores. ROC curves evaluated diagnostic properties for internalizing- and externalizing-spectrum disorders. A calculator was developed to estimate post-test probabilities from T-scores using ILRs. Sensitivity analysis excluded MDD as a comorbid diagnosis. Results: ROC curve analyses suggested a sum score cut-off of >6 and a T-score of >55 for detecting MDD. The SMFQ showed good accuracy for internalizing conditions (AUC >0.8) but low for attention and externalizing disorders (AUC <0.7). ILRs for internalizing conditions ranged from 0.12 (95 % CI: 0.07–0.19) to 29.98 (95 % CI: 11.99–75), with post-test probabilities exceeding pre-test probabilities for scores above the cut-off. Sensitivity analysis confirmed findings when excluding MDD. Including ILRs significantly improved predictive models over dichotomous cut-offs. Conclusion: The application of ILRs based on IRT T-scores improved SMFQ's predictive ability for internalizing-spectrum conditions, regardless of comorbidity. A calculator can integrate these methods into clinical practice, supporting real-time data-driven decisions.

Item Type:	Article
Additional Information:	© 2025 Elsevier Ltd.
Divisions:	Care Policy and Evaluation Centre
Subjects:	R Medicine > RA Public aspects of medicine B Philosophy. Psychology. Religion > BF Psychology
Date Deposited:	15 Sep 2025 14:39
Last Modified:	30 Sep 2025 16:04
URI:	http://eprints.lse.ac.uk/id/eprint/129528

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