Consumption of Food Sources of Antioxidant Associated with Cognitive Function and Oxidative Stress Markers 4-HNE
Bibliographic record
Abstract
Background and Aim : The contain of antioxidant in vegetables, fruits, spices, and tea has a protective effect from oxidative stress which can cause impaired cognitive function.This study aimed todetermine the relationship between the consumption of antioxidant-rich foods such as vegetables, fruits, spices, and tea with 4-HNE plasma levels and cognitive function of elderly. Material and method : The study design was cross-sectional, and was conducted in the Lima Puluh Kota district, West Sumatra in 2018.Interviewing antioxidant food intake was carried out using the Food Frequency Questioner (FFQ), cognitive function was assessed by the Indonesian version of the Montreal Cognitive Assessment (MoCA-Ina), plasma 4-HNE was measured by the ELISA method. Finally, the data was analyzed by Mann-Whitney and Chi-square statistical tests. Result :The result showed that 83 elderly (57.2%) experience impaired cognitive function. There was no significant relationship between consumption of antioxidant foods and plasma levels of HNE. However, consumption of vegetables, fruits, spices, and tea has a significant relationship with cognitive function. Conclusion:This study concluded that consumption of vegetables, fruits, spices, and tea can protect the elderly from impaired cognitive function.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".