Children with Psychiatric Disorders: The Al Ain Community Psychiatric Survey
Bibliographic record
Abstract
OBJECTIVE: The prevalence of child psychiatric morbidity in the community is unknown in most developing countries, including those in the Arab region. METHOD: An epidemiologic study was carried out to estimate the prevalence of psychiatric morbidity and to determine the sociodemographic correlates in a sample of children in the community, aged 6 to 18 years, in A1 Ain, United Arab Emirates (UAE). RESULTS: We obtained a prevalence rate of 22.2% for overall morbidity, as classified in the DSM-1V, and 14.3% for those with significant dysfunction, with the most common diagnosis being mood disorders. Female sex, large family size, chronic life difficulties, family history of psychiatric disorder, and alcohol-related problems in a family member were significantly associated with DSM-IV diagnosis. CONCLUSION: Although the prevalence and symptomatology in this Middle East community are similar to those in Western studies, none of these children had received professional help, suggesting serious deficiencies in mental health care services in the country.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".