Common mental disorder diagnosis and need for treatment are not the same: findings from a population-based longitudinal survey
Bibliographic record
Abstract
BACKGROUND: Controversy exists regarding whether people in the community who meet criteria for a non-psychotic mental disorder diagnosis are necessarily in need of treatment. Some have argued that these individuals require treatment and that policy makers need to develop outreach programs for them, whereas others have argued that the current epidemiologic studies may be diagnosing symptoms of distress that in many cases are self-limiting and likely to remit without treatment. All prior studies that have addressed this issue have been cross-sectional. We examined the longitudinal outcomes of individuals with depressive, anxiety and substance use (DAS) disorder(s) who had not previously received any treatment. Method Data came from a nationally representative US sample. A total of 34 653 non-institutionalized adults (age ≥20 years) were interviewed at two time points, 3 years apart. DAS disorders, mental health service use and quality of life (QoL) were assessed at both time points. RESULTS: Individuals with a DAS disorder who had not previously received any treatment were significantly more likely than those who had been previously treated to have remission of their index disorder(s) without subsequent treatment, to be free of co-morbid disorder(s) and not to have attempted suicide during the 3-year follow-up period (50.7% v. 33.0% respectively, p < 0.05). At wave 2, multiple linear regression demonstrated that people with a remission of their baseline DAS disorder(s) had levels of functioning similar to those without a DAS disorder. CONCLUSIONS: Individuals with an untreated DAS disorder at baseline have a substantial likelihood of remission without any subsequent intervention.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".