O1–01–03: Healthy lifestyle reduces the risk of dementia especially among the apolipoprotein E e4 carriers
Bibliographic record
Abstract
Genetic risk factors have been suggested to modify the association between lifestyle related risk factors and the risk of dementia and Alzheimer's disease (AD). The aim of this study was to investigate the possible effect modification of the apoE e4 allele for several lifestyle related risk factors for dementia and AD. Participants of the Cardiovascular Risk Factors, Aging, and Dementia (CAIDE) study were derived from random, population-based samples previously studied in 1972, 1977, 1982, or 1987. After an average follow-up of 21 years, 1449 (73%) aged 65 to 79 years were re-examined in 1998. The apoE e4 allele was an independent risk factor for dementia even after adjustments for lifestyle and vascular factors (OR 2.83, 95% CI 1.61–4.97). Physical inactivity, alcohol drinking, and smoking at midlife increased the risk of dementia and AD particularly among the apoE e4 carriers. Further, among the apoE e4 carriers low to moderate dietary intake of polyunsaturated fats at midlife, as well as moderate to high intake of saturated fats were associated with increased risk of dementia and AD. Also the summarized effect of the lifestyle related factors was more pronounced among the apoE e4 carriers. Physical inactivity, dietary fat intake, alcohol drinking, and smoking at midlife are associated with the risk of dementia and AD, especially among the apoE e4 carriers. The apoE e4 carriers may be more vulnerable for various lifestyle related factors. Thus, especially the carriers of the apoE e4 allele might benefit from adopting a healthy and moderate lifestyle.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".