The association between Mediterranean Dietary Pattern and Depression, Anxiety, and Psychological Distress in Iranian Adults: A Cross-Sectional Study
Bibliographic record
Abstract
Background and Objectives: Few studies have been performed on the adherence to the Mediterranean diet in relation to psychological health, particularly in the Middle East region. In the present study, the association between adherence to Mediterranean dietary pattern and psychological disorders (including depression, anxiety, and psychological distress), was investigated among a large population of Iranian adults. Methods: This cross-sectional study was performed on 3172 adults (aged 18-55 years). The Mediterranean regimen model, was derived from the Trichopoulou et al. method. To investigate the relationship between Mediterranean diet and mental disorders, logistic regression was used with three modified models. In addition to the Mediterranean diet, the same analysis was performed for that pattern of food associated with psychological disorders. Results: The participants with the highest adherence to the Mediterranean diet had lower risk for depression (OR: 0.60, 95% CI: 0.46-0.78), anxiety (OR: 0.61, 95% CI: 0.42-0.86), and psychological distress (OR: 0.60, 95% CI: 0.45-0.79) compared to those with the lowest adherence. high intake of fruits and vegetables was associated with a lower risk of depression (Fruits: OR: 0.41; 95% CI: 0.31-0.54 and vegetables: OR: 0.53; 95% CI: 0.40-0.70), anxiety (Fruits: OR: 0.56; 95% CI: 0.39-0.79; vegetables: OR: 0.57; 95% CI: 0.39-0.84), and psychological distress (Fruits: OR: 0.47; 95% CI: 0.36-0.63; vegetables: OR: 0.46; 95% CI: 0.34-0.62). In contrast, high intake of grains was positively associated with depression (OR: 1.59, 95% CI: 1.12-2.27), anxiety (OR: 1.77, 95% CI: 1.11-2.82) and psychological distress (OR: 1.69, 95% CI: 1.16-2.45). Conclusion: The findings of this study indicated an inverse association between adherence to Mediterranean dietary pattern and risk of psychological disorders (such as depression, anxiety, and psychological distress).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".