The relationship between cognitive and social leisure activities across the lifespan and neural markers for brain health: A systematic literature review
Bibliographic record
Abstract
Abstract Background Cognitive and social leisure activities (CA/SA) as well as social network size (SNS) have been associated with performance on cognitive tasks and lower dementia risk. However, the neural mechanisms behind these associations remain unclear. Therefore, this systematic literature review aims at summarizing the available evidence on these associations across the adult lifespan. Method MEDLINE, PsychINFO, CINAHL and the Cochrane Library of Controlled Trials were searched for potential publications until January 2021. Eligible studies included those with cognitively normal individuals older than 18 years, and assessed the direct association between CA/SA or SNS and brain structure. CA/SA were defined as those cognitively and/or socially stimulating activities being performed for the sake of pleasure. Eligible outcome measures included magnetic resonance imaging (MRI) of macro (grey/white matter volumes) and micro (diffusion tensor imaging) structure, or computerized tomography (CT). Both observational and (quasi)experimental designs were included. Study‐quality was assessed using the NIH tool for study quality appraisal and the Newcastle‐Ottawa Scale. This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines. A full protocol is available in PROSPERO (CRD42020193278). Result 6115 unique abstracts were identified and screened by two independent raters. Sixty‐six full‐text articles were retained for further appraisal, of which thirty‐five (0.6%) were included for qualitative analysis. Of those, 20 cross‐sectional, 4 cohort and 3 experimental studies investigated the association between CA/SA and brain structure. Eight cross‐sectional studies investigated the relationship between social network size and brain structure. All studies included in this review used structural MRI (3 used DTI) as outcome measure. In the majority of studies, CA/SA and SNS showed associations with structural brain MRI markers. Detailed results of this ongoing review and possible meta‐analysis will be presented. Conclusion CA and SA are associated with structural MRI markers.
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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 | 0.011 | 0.047 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.010 |
| Bibliometrics | 0.013 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".