Vitamin D Deficiency as a Risk Factor for Schizophrenia: A meta-analysis of Observational Studies
Bibliographic record
Abstract
Abstract Background: Schizophrenia is a heterogeneous disorder in which there is interaction between genetic and environmental factors. Study have found that vitamin D deficiency is a risk factor for schizophrenia. We conducted a meta-analysis to investigate the relationship between schizophrenia and blood vitamin D level.Methods: A systematic review and meta-analysis have been conducted. All published observational articles have been searched from PubMed, Web of Science, Scopus, Cochrane library and Embase until September 2019. The Newcastle-Ottawa scale was used to examine the quality of the included studies.Results: A total of 38 articles have been included in this study. The lower level of vitamin D was found in people with schizophrenia compared with controls (WMD =-4.50, 95%CI [-6.69, -2.32]). Subgroup analyses based on study design, the patient’s hospitalization status, quality of the study, outcomes, and the country explained part of between-study heterogeneity. No significant differences in publication bias were observed. The overall prevalence of vitamin D deficiency and insufficiency in schizophrenic patients were 66%, 95%CI [57%–76%] and 76%, 95%CI [69%, 83%], respectively. Subjects with schizophrenia were more likely to have vitamin D deficiency or vitamin D insufficiency compared to controls (2.03, 95%CI [1.49, 2.77]; 2.43, 95%CI [1.40, 4.23]).Conclusion: The results of this systematic review show that low vitamin D levels might contribute to the development of schizophrenia. The prevalence of vitamin D deficient or insufficient in schizophrenia was higher than that in healthy controls or another psychotic disease .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.036 | 0.085 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.008 |
| Bibliometrics | 0.013 | 0.012 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.001 | 0.010 |
| 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; both teacher heads agree on what is shown here.
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".