ArticleJCPP advances2025
Assessing a prediction model for depression risk using an early adolescent sample with self-reported depression.
Article in JCPP advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Illuminating the complex interplay of risk factors for depression symptoms within a large-scale US longitudinal cohort.Social psychiatry and psychiatric epidemiology · 2026Article
- Longitudinal Prediction of Adolescent Depression from Environmental and Polygenic Risk Scores.medRxiv : the preprint server for health sciences · 2025Article
- Towards a more inclusive child and adolescent mental health research: Bridging gaps through neuro-affirmative, transdiagnostic, and participatory frameworks.JCPP advances · 2025Article
- Assessing a prediction model for depression risk using an early adolescent sample with self-reported depression.JCPP advances · 2025Article
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10 authors.
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Abstract
Background: Major depressive disorder (MDD) in adolescence is a risk factor for poor physical and psychiatric outcomes in adulthood, with earlier age of onset associated with poorer outcomes. Identifying Depression Early in Adolescence Risk Score (IDEA-RS) is a model for predicting MDD in youth aged >15 years, but replication in younger samples (<15 years) is lacking. Here, we tested IDEA-RS in a younger sample (9-11 years) to assess whether IDEA-RS could be applied to earlier onset depression. Methods: We applied IDEA-RS predictor weights to 9854 adolescents (9-11 years) from the Adolescent Brain Cognitive Development (ABCD) Study, United States. We derived incident depression outcomes from self-reported data at 2-year follow-up (11-13 years): incident MDD and increase in depression symptoms (DS). Sensitivity analyses were conducted using parent-reported data. We assessed accuracy and calibration in predicting self-reported incident depression and compared this to a refitted model with predictor weights derived in ABCD. Lastly, we tested associations between IDEA-RS predictors and self-reported incident depression. Results: External replication yielded better-than-chance discriminative capacity for self-reported incident depression (MDD: AUC = 61.4%, 95% CI = 53.5%-69.4%; DS: AUC = 57.9%, 95% CI = 54.6%-61.3%) but showed poor calibration with overly extreme risk estimates. Re-estimating predictor weights improved discriminative capacity (MDD: AUC = 75.9%, 95% CI = 70.3%-81.4%; DS: AUC = 64.8%, 95% CI = 61.9%-67.7%) and calibration. IDEA-RS predictors 'poorest level of relationship with the primary caregiver' (OR = 4.25, 95% CI = 1.73-10.41) and 'high/highest levels of family conflict' (OR = 3.36 [95% CI = 1.34-8.43] and OR = 3.76 [95% CI = 1.50-9.38], respectively) showed greatest associations with self-reported incident MDD. Conclusions: While IDEA-RS yields better-than-chance predictions on external replication, accuracy is improved when differences between samples, such as case-control mix, are adjusted for. IDEA-RS may be more suited to research settings with sufficient data for refitting. Altogether, we find that IDEA-RS can be generalisable to early adolescents after refitting and that family dysfunction may be especially impactful for this period of development.
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