DOES COGNITIVE LIFESTYLE MATTER? EXAMINING TRANSITIONS BETWEEN COGNITIVE STATES USING MSM ACROSS FOUR STUDIES
Bibliographic record
Abstract
We examined the relationship between active cognitive lifestyle (i.e. social network size and participation in cognitive activities) and transitions between different cognitive states (i.e., normal MMSE, mild MMSE impairment, severe MMSE impairment) and evaluated the consistency of results across four longitudinal studies of aging (i.e. OCTO-Twin, LASA, H70, MAP). Multi-state models (MSM) were run independently across all longitudinal studies controlling for age, sex, and education. Less participation in cognitive activities was associated with an increased risk of transitioning from normal MMSE to mild MMSE impairment and from normal MMSE to death in two studies. Larger social network size was associated with a lower risk of transitioning from normal MMSE to mild MMSE in three studies. These results highlight how lifestyles factors can delay cognitive decline and highlights the need for more policies and interventions that make it easier for older adults to keep their mind active and remain socially involved.
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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 | 0.022 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".