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Record W2016679516 · doi:10.1111/acps.12086

Clinical symptoms of psychotic episodes and 25‐hydroxy vitamin D serum levels in black first‐generation immigrants

2013· article· en· W2016679516 on OpenAlexaffabout
Marie-José Dealberto

Bibliographic record

VenueActa Psychiatrica Scandinavica · 2013
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsQueen's University
Fundersnot available
Keywordsvitamin D deficiencyVitamin D and neurologyMedicineSchizophrenia (object-oriented programming)ImmigrationPsychiatryMoodCatatoniaPsychosisPediatrics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.339
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations22
Published2013
Admission routes2
Has abstractyes

Explore more

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