Cognitive and behavioral correlates of depressive symptoms in a community sample of adolescents
Bibliographic record
Abstract
Research in adults demonstrates a positive association among obsessive–compulsive symptoms, eating pathology, cognitive distortions, and comorbid depressive symptoms. Given that adolescence is characterized by unique and rapid changes in biopsychosocial processes, it is imperative to elucidate the relationship between these variables in youth. In this cross-sectional study, we explored whether obsessive–compulsive symptoms, thought–action fusion, thought–shape fusion, and eating pathology would be positively associated with and predict depressive symptoms in a school-based community sample of adolescents ( n = 86; M age = 15.60). All study variables were positively correlated with depressive symptoms. Results indicated that obsessive–compulsive symptoms, thought–shape fusion, and eating pathology explained a significant proportion of variance in depressive symptoms, whereas thought–action fusion did not. In accordance with the cognitive behavioral model of psychopathology, these findings highlight the relationships between key interrelated correlates of depressive symptoms that may be pertinent targets for prevention and treatment efforts in adolescents.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".