Apolipoprotein E ɛ4 magnifies lifestyle risks for dementia: a population‐based study
Bibliographic record
Abstract
The risk of dementia and Alzheimer's disease (AD) probably results from an interaction between genetic and environmental factors. The aim of this study was to investigate the effects and putative interactions between the apoE epsilon4 allele and 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 individuals (72.5%) aged 65-79 years were re-examined in 1998. The apoE epsilon4 allele was an independent risk factor for dementia/AD even after adjustments for sociodemographic, lifestyle and vascular factors (odds ratio [OR]=2.83, 95% confidence interval [CI]=1.61-4.97). Physical inactivity, alcohol drinking and smoking increased the risk of dementia/AD particularly among the apoE epsilon4 carriers. Furthermore, low-moderate intake of polyunsaturated, and moderate-high intake of saturated fats were associated with an increased risk of dementia/AD more pronouncedly among apoE epsilon4 carriers. Composite effect of the lifestyle factors was particularly seen among the epsilon4 carriers (OR=11.42, 95% CI=1.94-67.07 in the 4th quartile). Physical inactivity, dietary fat intake, alcohol drinking and smoking at midlife are associated with the risk of dementia and AD, especially among the apoE epsilon4 carriers. The apoE epsilon4 carriers may be more vulnerable to environmental factors, and thus, lifestyle interventions may greatly modify dementia risk particularly among the genetically susceptible individuals.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".