A Scoping Review of Multiple-modality Exercise and Cognition in Older Adults: Limitations and Future Directions
Bibliographic record
Abstract
The effects of multiple-modality exercise (MME) on brain health warrants further elucidation. Our objectives were to report and discuss the current evidence regarding the influence of MME on cognition and neuroimaging outcomes in older adults without dementia. We searched the literature for studies investigating the effects of MME on measures of cognition, brain structure, and function in individuals 55 years or older without dementia. We include 33 eligible studies. Our findings suggested that MME improved global cognition, executive functioning, processing speed, and memory. MME also improved white and gray matter and hippocampal volumes. These findings were evident largely when compared with no-treatment control groups but not when compared with active (e.g., health education) or competing treatment groups (e.g., cognitive training). MME may improve brain health in older adults without dementia; however, because of possible confounding factors, more research is warranted.
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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 | 0.018 | 0.066 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.012 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".