The Benefits of Exercise and Metabolic Interventions for the Prevention and Early Treatment of Alzheimer's Disease
Bibliographic record
Abstract
BACKGROUND: Alzheimer's disease (AD) is characterized by neuronal degeneration, vascular pathology and cognitive decline. Furthermore, deficits in cerebral glucose metabolism and insulin resistance are being increasingly recognized in AD. Many lifestyle-modifying approaches, including diet and exercise, have yielded promising results in modulating brain morphology and function for the prevention and early treatment of AD. OBJECTIVE: This review focuses on the effects of physical exercise on rescuing cognition and limiting the progression of AD pathology. Specifically, the impact of exercise, in human and animal models of AD, on the stimulation and preservation of cognition, neurotransmission, neurogenesis, vasculature, glucose metabolism and insulin signaling is discussed. CONCLUSION: Studies have highlighted the potential of physical activity to improve overall brain health, which could delay or lessen AD-related cognitive deficits and pathology. Physical activity influences cognitive function, vascular health and brain metabolism, which taken together offers benefits for the aging population, including AD patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".