More Adherence To A Mediterranean Dietary Pattern is Associated With A Lower Insomnia Score
Bibliographic record
Abstract
Abstract Background: Previous studies has shown that low quality diet is correlated with chronic sleep disorders. Mediterranean dietary pattern is considered as a high quality diet which has been shown to have beneficial effects on overall health. Thus, the aim of our study was to investigate the correlation between adherence to Mediterranean dietary pattern and insomnia score in a population of adolescent girls.Methods: Total Data of 734 adolescent girls between 12-18 years old has been considered in this cross-sectional study. To assess dietary intake, a food frequency questionnaire was used. To assess the inherence to Mediterranean dietary style, a modified model of Mediterranean diet was applied and the scores were ranged from 0-9. A valideated version of Insomnia Severity Index questionnaire wss used to assess insomnia. To explore the associations between MED-style diet and insomnia, logistic regression was conducted in crude and adjusted models.Results: The participants with higher adherence to MED-style diet had higher intake of fruits, vegetables, nuts, fish, total energy intake, carbohydrate, dietary fiber, potassium, Beta-carotene, vitamin C, iron and folate. A significant inverse association between adherence to the MED-style diet score and insomnia score was obtained in crude model (β= -0.125; P-value = 0.019) and also after adjustment for confounding variables (β= -0.120; P=0.048).Conclusion: There is an inverse relationship between adherence to the Mediterranean dietary style and the prevalence of insomnia among Iranian adolescent girls. Prospective studies are necessary to confirm these results and clarify whether a causal relationship exists.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".