Association of omega-3 polyunsaturated fatty acids intake and cognitive function in middle-aged and older adults
Bibliographic record
Abstract
Objective Omega-3 polyunsaturated fatty acids (PUFAs) play a crucial role in maintaining and improving cognitive function and brain health. The aim of this study was to assess the association between omega-3 PUFA intake and cognitive function in middle-aged and older adults in Saudi Arabia.Methods Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA). The frequency and quantity of omega-3 PUFA intake were assessed using an omega-3 food frequency questionnaire.Results A total of 175 participants were recruited for this study. Participants in the lowest omega-3 PUFA tertile group scored significantly lower in the visuospatial/executive and attention cognitive domains (p < 0.05). After adjusting for confounders, the higher intake of alpha-linolenic acid (ALA) was significantly associated with higher scores in the visuospatial/executive domain (p = 0.02) and the higher intake of docosahexaenoic acid (DHA) was significantly associated with higher scores in the attention domain (p = 0.04). The participants who did not consume walnuts showed a significant lower MoCA score than those who did (p = 0.005). No significant differences were found with other omega-3 PUFA sources.Conclusion Higher intake of omega-3 PUFAs was positively associated with visuospatial/executive and attention cognitive functions in middle-aged and older adults.
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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".