Prevalence of Psychiatric Diagnoses and the Role of Perceived Impairment: Findings from an Adolescent Community Sample
Bibliographic record
Abstract
The present study examined psychiatric functioning in a community sample of adolescents aged 14 to 17 years (average age of 15 years). We administered the Diagnostic Interview Schedule for Children-2.25 (DISC-2.25) to 1,201 adolescents and their mothers to obtain prevalence estimates of DSM-III-R disorders and the amount of perceived impairment associated with these disorders. While adolescent females reported a significantly higher prevalence of psychiatric disorders than males (15.5% vs. 8.5%), mothers indicated no sex difference. Compared with adolescent males, females had significantly higher rates of internalizing, anxiety. and depressive disorders. In contrast, the prevalence of externalizing disorders was significantly higher among adolescent males. The inclusion of an impairment criterion had a significant impact in reducing the prevalence rates of overall psychiatric disorders. This reduction occurred mainly through impairment's effects on internalizing disorders, specifically anxiety-based disorders (i.e., simple and social phobia). Given the limited research on the effect of impairment on the prevalence of adolescent psychiatric disorders, future work in this area seems warranted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".