Sex Differences in the Influence of Brain and Lifestyle Factors on Neurocognitive Aging
Bibliographic record
Abstract
Declines in executive functioning (EF) are a hallmark of neurocognitive aging. Much research has focused on the impact of exercise, brain structure, and brain function on neurocognitive aging, yet their relative predictive weights had not been evaluated. Further, the impact of sex differences on the influence of these factors had not yet been investigated. Fifty-one older adults participated in this study evaluating the outcome of cardiorespiratory fitness (CRF), prefrontal cortex volume, and global efficiency of functional brain networks on EF. A stratified, multiple hierarchical regression was performed to identify the best predictors of EF for each sex. For females, a model containing solely CRF served as the best predictor of EF. A model containing both CRF and network efficiency best predicted EF in males. These results demonstrate that CRF and metrics of structural and functional brain health in older adulthood are independently associated with EF in a sex-dependent manner.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".