Association of 24 h-movement behaviors with cerebral and hippocampal amyloid beta levels and executive function in cognitively normal older adults: a compositional data analysis from the AGUEDA trial
Bibliographic record
Abstract
OBJECTIVES: This study investigated the associations between movement behaviors (physical activity, sedentary behavior, and sleep duration), global and hippocampal amyloid beta levels, and executive function in cognitively normal older adults. DESIGN: Cross-sectional analysis using data from the Active Gains in brain Using Exercise During Aging study, including 86 participants (mean age 71.51 years, 57% female). METHODS: Movement behaviors were assessed using a wrist-worn accelerometer over a 9-day. Amyloid beta levels were quantified via positron emission tomography, and executive function was assessed using validated cognitive tests (e.g., Trail Making Test, Digit Symbol Substitution Test, Spatial Working Memory test, and Dimensional Change Card Sort test). Compositional data analysis and multiple linear regression models were used to examine associations, adjusting for age, sex, education, and APOEε4 genotype status. RESULTS: No significant associations emerged between any movement behaviors and total cerebral amyloid beta levels or executive function (all p > 0.05). However, higher moderate-to-vigorous physical activity was significantly associated with lower hippocampal amyloid levels in males (β = -0.039, p = 0.010), but not in females (β = 0.004, p = 0.741) (Moderate-to-vigorous physical activity × sex interaction p = 0.017). CONCLUSIONS: Movement behaviors were not associated with global amyloid levels or executive function. However, higher moderate-to-vigorous physical activity may be protective against hippocampal amyloid levels in older males. Further research is needed to confirm these findings and explore potential sex differences. These results underscore the importance of moderate-to-vigorous physical activity in brain health and suggest avenues for future research on the role of movement behaviors in amyloid burden.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".