Association of Vitamin D with Suicide Behaviors: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Objective: Research findings on the relationship between vitamin D and suicide are not consistent; therefore, the objective of the present paper is to assess the relationship between vitamin D and suicide behaviors using a systematic review and meta-analysis. Method: A search strategy was developed using keywords including “Vitamin D”, “Vitamin D deficiency”, “suicide” "attempted suicide", "completed suicide”, “Suicide, Attempted”, “Suicidal Ideation.” We searched databases including Scopus, Medline, Web of Science, and Google Scholar by July 7, 2022. We examined the titles, abstracts, and full texts of the articles to select eligible ones. To pool the results of the selected studies, we used the random-effect method and mean difference as the effect size. The quality of the articles was evaluated by the Newcastle-Ottawa Scale (NOS). Moreover, heterogeneity and bias of reporting were evaluated by the I2 statistic and Egger's and Begg's tests, respectively. Results: Out of 149 studies retrieved in the databases, 11 studies were included in the final phase. Among these, the pooled findings of seven studies included in the meta-analysis phase showed that low levels of vitamin D are related to increased probability for suicide behaviors (P < 0.05). Moreover, subgroup analysis showed a significant relationship between vitamin D and suicide ideation and suicide attempt (P < 0.05). In addition, the I2 statistic indicated moderate heterogeneity (58%) and Egger's and Begg's tests did not show any evidence of publication bias (P > 0.05). Conclusion: This study provides evidence in favor of the relationship between vitamin D and suicide behaviors. It suggests that insufficient levels of vitamin D play a role in suicidal behaviors. However, it should be noted that further and stronger evidence is needed to establish this role. Finally, incorporating vitamin D-rich foods into the diet or taking vitamin D supplements is recommended to reduce the risk of suicide.
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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 | 0.018 | 0.041 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.023 | 0.039 |
| Bibliometrics | 0.012 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".