Are cognitive functions in post-menopausal women related with the contents of macro- and micro-components in the diet?
Bibliographic record
Abstract
UNLABELLED: The objective of the study was an evaluation of the relationship between the level of cognitive functions and contents of micro- and macro-components in the diet of postmenopausal women. A group of 402 women was recruited to the study. The inclusion criteria were: minimum two years after the last menstruation, FSH concentration 30 U/ml and no dementia signs on the Montreal Cognitive Assessment (MoCA). A computerized battery of the Central Nervous System Vital Signs (CNS VS) test was used to diagnose cognitive functions. The dietary questionnaire was evaluated based on observation of a seven-day diet. The data obtained were introduced into the database and analyzed using computer software DIETICIAN. Statistical analysis was performed using statistical software STATISTICA. RESULTS: The results of the study concerning diet unequivocally indicate a very poor quality of diet in the group of postmenopausal women examined. The daily diet had a too high energetic value. The women consumed an excessive amount of total fat, including definitely too much monounsaturated fatty acids, and insufficient polyunsaturated fatty acids. The dietary intake of sodium and phosphorus was too high, whereas deficiencies were observed in the consumption of iron, copper, potassium, calcium, magnesium and zinc. No significant correlations were found in the analysis of cognitive functions according to the energetic value of daily diet and contents of macro- and micro-components. The results concerning verbal memory significantly depended on the daily intake of polyunsaturated fatty acids. Women who consumed polyunsaturated fatty acids below the daily normal or normal level obtained significantly higher results in verbal memory.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".