The Relationship Between Linoleic Acid Intake and Psychological Disorders in Adults
Bibliographic record
Abstract
Background: The association between linoleic acid (LA) intake and mental disorders has not been extensively studied in Middle-Eastern populations. We investigated the association between LA intake and the prevalence of depression, anxiety, and psychological distress in a large group of Iranian adults. Methods: This cross-sectional study was conducted on 3,362 middle-aged adults. LA intake was determined through a validated dish-based 106-item semiquantitative food frequency questionnaire (FFQ). The validated Hospital Anxiety and Depression Scale (HADS) and General Health Questionnaire (GHQ) were used to define psychological disorders. Results: The prevalence of depression, anxiety, and psychological distress among the study population was 28.6, 13.6, and 22.6%, respectively. After adjustment for potential confounders, individuals in the top quartile of LA intake had 41% more likely to be depressed compared to those in the bottom quartile (OR = 1.41, 95% CI: 1.02-1.95). Stratified analysis by sex revealed that men in the fourth quartile of LA intake, compared to the first quartile, had 80% higher odds of depression, after considering all potential confounders (OR = 1.80, 95% CI: 1.01-3.19). More consumption of LA was also associated with higher odds of depression in older adults (OR = 2.45, 95% CI: 1.46-4.10) and normal-weight individuals (OR = 1.75, 95% CI: 1.13-2.72). Additionally, higher intake of LA was related to 90% higher odds of psychological distress in older participants (OR = 1.90, 95% CI: 1.08-3.36). No significant relation was found between LA intake and anxiety. Conclusion: We found that higher intake of LA, as percentage of energy, was positively associated with depression, especially in men, older adults, and normal-weight subjects. Higher intake of LA was also related to higher odds of psychological distress in older individuals. More studies, particularly prospective cohorts, are needed to confirm these findings.
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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 | 0.001 | 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 | 0.000 |
| 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".