Association Between Adverse Childhood Experiences and Cognitive Decline
Bibliographic record
Abstract
ABSTRACT: We aim to study Adverse childhood experiences' (ACEs') association with cognitive decline during adulthood. We reviewed data on subjective cognitive decline (SCD) for those ≥45 years of age. Logistic regression analysis, odds ratio, and 95% confidence interval (CI) assessed the association between ACEs and SCD. We analyzed an adult survey (N = 3900, mean age: 60.9 years, male: 46%). The most common ACE reported was household substance abuse (22.4%), followed by parental divorce/separation (20.9%). The prevalence of SCD in those having at least one ACE was higher than those without any (16.5% vs. 8.1%, p < 0.001). SCD positively correlated with the number of ACEs (p < 0.001). The odds of SCD increase in proportion to the increase in the number of ACEs experienced. These findings should be replicated in a larger population while controlling for confounding factors.
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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 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".