Rest‐activity rhythm characteristics associated with lower cognitive performance and Alzheimer's disease biomarkers in midlife women
Bibliographic record
Abstract
INTRODUCTION: Disrupted rest-activity rhythms (RARs) have been linked to poorer cognitive function and Alzheimer's disease (AD) biomarkers. Here we extend this work to midlife women, who commonly experience menopause-related sleep and cognitive problems. METHODS: One hundred ninety-four postmenopausal participants underwent a neuropsychological evaluation, 72 h of wrist actigraphy generating RAR variables, and a blood draw to measure AD biomarkers: phosphorylated tau (p-tau181, p-tau231) and amyloid beta (Aβ40, Aβ42). RESULTS: Lower interdaily stability (IS) and relative amplitude (RA) and higher interdaily variability (IV) and least active 5 h (L5) were associated with worse processing speed, independent of sleep. Adjustment for sleep significantly attenuated the associations of RA with memory. Lower RA was associated with higher p-tau231 level, independent of sleep. Further adjustment for menopause-related factors modestly accounted for the associations between RAR, cognitive measures, and AD biomarkers. DISCUSSION: Weaker RAR, particularly RA, was associated with worse cognitive functions, and higher AD biomarkers levels, possibly linking RAR with AD pathology in women. Highlights: Lower rhythm stability and robustness and higher fragmentation were associated with worse processing speed.Lower robustness was associated with higher levels of phosphorylated tau-231.Menopause factors did not attenuate the association between rest-activity rhythms and cognitive function.
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".