205 PHYSICAL ACTIVITY MODULATES GEOGRAPHICAL VARIATIONS IN COGNITIVE AGEING: RESULTS FROM THE IRISH LONGITUDINAL STUDY ON AGEING
Bibliographic record
Abstract
Background Recent evidence indicates that rural individuals show poorer cognitive performance than urban dwellers. Urban environments offer a wider range of cognitive stimulation, and are associated with higher levels of tonic arousal. A cross-sectional association between urban living and better performance in global cognition (Montreal Cognitive Assessment, MoCA) has been found after controlling for individual level factors (Cassarino, O'Sullivan, Kenny & Setti, 2015). Another study found a non-linear relationship between land-use mix and dementia. The present study aimed to assess whether the cognitive disadvantage of living in a rural environment may be compensated by modifiable lifestyle factors, i.e. physical activity. We hypothesised that levels of physical activity would modulate cognitive performance especially for rural dwellers, who most need cognitively stimulating activities. Methods Cross-sectional analyses of MoCA were conducted for healthy Irish people aged 50+ participating in Wave 1 of The Irish Longitudinal Study on Ageing, in relation to the interaction between levels of physical activity measured through the International Physical Activity Questionnaire, and residence either in urban, suburban, or rural areas, while controlling socio-demographic, health, and other lifestyle factors. Results After controlling for confounders, engaging in vigorous weekly physical activity modulated the association between environment of residence and global cognition, with physically active rural participants showing no differences from the urban group in terms of MoCA scores. No interactions were found for the other environments. Conclusions The results support the hypothesis that engaging in physical activity can compensate for urban-rural differences in cognitive performance in ageing. The findings have implications for the promotion of lifestyle initiatives tailored to the environment of residence.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".