Dietary methyl donor micronutrients intake in relation to psychological disorders in adults
Bibliographic record
Abstract
, choline, betaine and methionine) with psychological disorders in Iranian adults. In this cross-sectional study, dietary intakes of 3299 adults were collected using a validated food frequency questionnaire. Methyl donor micronutrient score (MDMS) was calculated based on energy-adjusted deciles of each nutrient. Hospital Anxiety and Depression Scale (HADS) and General Health Questionnaire (GHQ), validated for Iranians, have been applied to assess depression, anxiety and psychological distress. Participants had a mean age of 36·3 ± 7·9 years, of whom 58·5 % were women. After considering potential confounders, adults in the top quartile of MDMS, compared to the bottom one, had decreased odds of anxiety (OR: 0·53, 95 % CI: 0·37, 0·75), depression (OR: 0·75, 95 % CI: 0·58, 0·97) and psychological distress (OR: 0·61, 95 % CI: 0·46, 0·80). Among women, the top quartile of MDMS was protectively associated with anxiety (OR: 0·60, 95 % CI: 0·40, 0·90), depression (OR: 0·68, 95 % CI: 0·50, 0·93) and psychological distress (OR: 0·53, 95 % CI: 0·38, 0·74). Overweight and obese subjects in the highest quartile of MDMS had a 67 %, 35 % and 53 % lower odds of anxiety (95 % CI: 0·20, 0·56), depression (95 % CI: 0·44, 0·94) and psychological distress (95 % CI: 0·31, 0·70), respectively. We found that high consumption of methyl donor micronutrients was related to a reduced odds of psychological disorders, especially in women and overweight or obese individuals.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".