Exploring depression in adolescents: How depression changes in early onset psychosis (EOP), clinical high risk (UHR) and clinical control (CC) patients
Bibliographic record
Abstract
Introduction Depression is very common in adolescent patients and impacts on their quality of life and functioning. Indeed, depression is an important clinical aspect for treatment, outcome, and prognosis. Objectives This pilot study investigated the factorial structure of the Calgary depression scale for schizophrenia (CDSS) in a sample of help seeking adolescent patients, stratified in three clinical diagnostic subgroups: early onset psychosis (EOP), clinical high risk (UHR) and clinical control (CC). The relationships between these factors and SIPS domains and subjective experiences were also explored. Methods Sixty-nine subjects were examined to assess the severity of depressive symptoms and the degree of subjectively felt cognitive-affective vulnerability (i.e. basic symptoms) Results Principal component analysis revealed CDSS to include two main factors, namely: “guilty idea of reference-pathological guilt” (factor I), “depression-hopelessness” (factor II). Two factors revealed multiple correlations with SIPS domains and subjective experiences. Conclusions The results confirm the dual factorial structure of CDSS previously reported in the literature in adult samples, further increase our knowledge of the psychopathological components of depression in adolescents, and strongly suggest that CDSS can also be used in early diagnostic settings Disclosure No significant relationships.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".