Clinical symptoms of psychotic episodes and 25‐hydroxy vitamin D serum levels in black first‐generation immigrants
Bibliographic record
Abstract
OBJECTIVE: Dark-skinned immigrants have a higher risk for schizophrenia and other psychoses than other immigrants. The first British studies reported that first-generation immigrants (FGIs) from the Caribbean presented atypical psychoses. This study examines the characteristics of psychotic episodes in black FGIs to Canada. METHOD: The charts of 18 FGIs from Africa and Haiti, extracted from a series of 20 black patients consecutively admitted to Psychiatry, were retrospectively reviewed regarding clinical features, diagnoses and vitamin D levels. RESULTS: Young FGIs presented acute psychotic episodes with abrupt onset, florid positive symptoms, few negative symptoms and good evolution. The onset was more insidious in older FGIs. Overall, catatonia was very frequent (28%), and mood symptoms still more frequent (44%). No cognitive decline was observed during follow-up. Serum levels of 25-hydroxy vitamin D were in the insufficiency range. Supplementation at 1000 IU/day did not restore normal levels. CONCLUSION: The clinical features of psychotic episodes in black FGIs are similar to those reported in dark-skinned FGIs to other countries. They are also observed in other immigrants and in non-immigrants. These atypical psychoses are possibly related to a recent vitamin D deficit. This hypothesis should be tested by clinical trials of sufficient vitamin D supplementation.
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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 | 0.000 |
| 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 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".