Vitamin D deficiency in long‐term hospitalization psychiatric wards in an equatorial nation
Bibliographic record
Abstract
INTRODUCTION: Vitamin D deficiency and insufficiency have been shown to be prevalent in several populations, including in people who have a mental illness. Deficiency has been linked to specific mental health sequelae. Furthermore, deficiency may be perpetuated by medications routinely prescribed to people with severe mental illness. Therefore, symptoms of mental illness may be exacerbated by deficient levels of vitamin D, and treatments for mental illness may exacerbate deficiency. This study sought to determine the vitamin D levels of people hospitalized for a period longer than a year in an equatorial nation, Singapore. The inpatient population was then categorized according to levels to determine the need for supplementation. METHODS: Total 25-hydroxy vitamin D in serum and plasma levels were tested in 403 individuals in long-term psychiatric wards. Blood serum and plasma levels were classified into three groups. Regression models were constructed to test the associations between levels and clinical covariates. RESULTS: Forty (9.9%) people had vitamin D levels that were sufficient. A link was found between vitamin D levels and medications given for gastrointestinal illnesses (β -2.48, p = .014, 95%CI -4.46 to-0.51) and between vitamin D levels and length of stay (β -0.13, p = .027, 95%CI -0.24 to-0.01). No other relationships were statistically significant. DISCUSSION: Despite its geographic location and opportunities for regular outdoor activity, vitamin D deficiency, and insufficiency are prevalent among people hospitalized for long periods of time in an equatorial nation. The level of deficiency is comparable to those observed in other settings.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".