[Association between vitamin E intake and mild cognitive impairment in people aged 55 years and older in Hebei Province].
Bibliographic record
Abstract
OBJECTIVE: To investigate the relationship between dietary vitamin E(VE) intake and mild cognitive impairment(MCI). METHODS: Based on the data of Hebei Province in the 2018 National Key Research and Development Program Nervous system disease CCSNSD, 612 subjects were included in this study. All study participants were surveyed for dietary VE intake by the Dietary Frequency Questionnaire and assessed for cognitive function by the Montreal Cognitive Assessment Scale. The relationship between dietary VE intake and MCI and its subtypes was analyzed using logistic regression and restricted cubic splines. RESULTS: The study subjects included 260(42.5%) males and 352(57.5%) females, with an average age of(66.8±7.4) years and an average dietary VE intake of(12.17±4.91) mg/d. The prevalence of cognitive impairment in the study population was 41.3%. After adjusting the covariates of age, gender, energy intake, residence, education level, employment status, BMI, smoking, drinking, physical activity, hypertension, diabetes, VE intake was not associated with the risk of non-amnesic(naMCI), single-domain amnesic(aMCI-SD), but relate to the risk of multi-domain amnesic(aMCI-MD). What's more, compared to dietary vitamin E intake Q1 group, the OR(95%CI) for multi-domain amnesic mild cognitive impairment in Q2, Q3 and Q4 groups were 1.628(0.836-3.170), 0.313(0.124-0.791) and 0.727(0.330-1.602), respectively. Using vitamin E intake as a continuous-type variable, a non-linear dose-response relationship was found between VE intake and mild cognitive dysfunction of the multi-domain amnesic type(P=0.02). When VE intake was about 17 mg/d, the risk of aMCI-MD was the lowest. CONCLUSION: There is an approximate "U" shaped dose-response relationship between dietary VE intake and the risk of mild cognitive impairment with multi-domain amnesia type. Research suggests that moderate VE intake has a preventive effect on the development of mild cognitive impairment.
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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 | 0.001 | 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".