The Erythrocyte Fatty Acid Profile and Cognitive Function in Old Chinese Adults
Bibliographic record
Abstract
OBJECTIVE: To explore the relationship between the erythrocyte fatty acid profile and cognition in elderly Chinese adults. METHODS: 60 mild cognitive impairment (MCI) subjects and 60 age- and gender-matched control adults (aged 55 years and above) were involved in this cross-sectional study. Cognitive function was measured by using the Montreal Cognitive Assessment (MoCA) test. Information regarding the demographic characteristics and lifestyle of the participants was collected with a questionnaire. A semi-quantified food frequency questionnaire (FFQ) method was used for dietary assessment. The erythrocytes fatty acid profile was measured. RESULTS: The MCI subjects had a lower education level than the control subjects (p < 0.05). Compared with control subjects, MCI subjects had higher daily poultry intake and lower fish intake (p < 0.05). Erythrocyte fatty acid profile of the MCI subjects was characterized as lower erythrocyte proportions of 20:4 n-6, 20:5 n-3, and total n-3 fatty acids compared with control subjects (p < 0.05). An association of erythrocyte proportions of 18:0, 22:0, total SFA, 18:2 n-6, 24:4 n-6 fatty acids, docosahexaenoic acid (DHA), and total n-6 PUFAs with cognition in elderly Chinese adults was detected. CONCLUSION: The erythrocyte fatty acid profile was related to cognitionin the elderly. Lower erythrocyte unsaturated fatty acid and higher saturated fatty acid proportions might predict cognitive function decline in elderly Chinese 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 | 0.000 |
| 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".