Efficacy of low‐fat milk and yogurt fortified with encapsulated vitamin D<sub>3</sub>on improvement in symptoms of insomnia and quality of life: Evidence from the SUVINA trial
Bibliographic record
Abstract
Abstract Introduction Sleep disorders are a common condition globally. Vitamin D receptors are present on cells in several regions of the brain. It is possible that vitamin D status may affect brain function, including sleep patterns. We aimed to evaluate the 1,500 IU of Nano‐encapsulated vitamin D fortified in dairy products on the symptoms of insomnia and associated improvement of quality of life. Methods A case series was undertaken as part of theSurvey of ultraviolent intake by nutritional approachproject. Subjects enrolled among adults with abdominal obesity. Twenty‐nine subjects with insomnia were selected according to the results of Insomnia Severity Index questionnaire and quality of life using a Short Form Health Survey (SF‐36) questionnaire. Subjects were allocated to four groups: low‐fat milk fortified by 1,500 IU vitamin D3(n = 8), simple milk (n = 8), low‐fat yogurt fortified by 1,500 IU vitamin D3(n = 7), and simple yogurt (n = 6) and were treated for 10 weeks. Results The insomnia score improved after the intervention in the group receiving vitamin D fortified milk compared to group receiving unfortified milk (p < .001). There were no significant differences between the two groups taking yogurt (fortified vs. unfortified). Comparison of quality of life scores between baseline and after intervention indicated significant improvements in both fortified and simple milk groups (p = .002 andp = .03, respectively); but no differences were found in the groups taking yogurt. Conclusion Fortified low‐fat milk containing 1,500 IU vitamin D3can improve insomnia symptoms and subsequently quality of life. Trial registration number: IRCT20101130005280N27, www.IRCT.ir .
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".