Mental Disorders in People Affected by Thalidomide
Bibliographic record
Abstract
BACKGROUND: More than 50 years after the withdrawal of thalidomide from the market, subsequent orthopedic damages and psychosocial impairments dominate the complaints of thalidomide-affected individuals. The aim of the study was to determine the prevalence of mental disorders in this group. METHODS: A total of 193 thalidomide-affected individuals from North Rhine-Westphalia (mean age 50.5 years, 56.5% women) underwent personal and comprehensive psychodiagnostic testing, which was based on the Structured Clinical Interview for DSM-IV disorders (SCID-I & SCID-II) and self-reporting questionnaires. RESULTS: Overall, the four-week prevalence of mental disorders was 47.2%. Multiple mental disorders were present in 45.1% among the 91 participants with diagnosed mental disorders. The most frequent diagnoses were unipolar depressive disorders (16.5%), somatoform disorders (14.0%), phobic disorders (12.4%), and alcohol-related disorders (6.2%). Immediate mental health care was indicated in 80.2% of participants with current mental disorders, but only 29.7% had used some form of psychosocial treatment in the 12 months preceding the study. CONCLUSION: Mental disorders occur approximately twice as often (relative risk [RR]: 1.77; 95% confidence interval [1.49; 2.10]) in thalidomide-affected individuals as in the age-matched German population. Together with a very low rate of utilization of mental health care, this finding implies an underuse of psychosocial healthcare. The development of specialized psychosocial treatment services may remove barriers that impede access to the healthcare system.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".