COGNITION AND PAIN ARE ASSOCIATED WITH DISCREPANCIES IN ACTIGRAPHY AND SELF-REPORTED SLEEP MEASURES IN OLDER ADULTS
Bibliographic record
Abstract
Abstract Sleep is a key determinant of health in older adults and is assessed using accelerometer-based (Actigraphy) and self-reported methods. This study aims to describe and identify factors associated with potential discrepancies between Actigraphy and self-reported sleep parameters (“Actigraphy/self-reported discrepancies”) in 125 community-dwelling older adults without dementia [Montreal Cognitive Assessment (MoCA) ≥17] using data from a randomized clinical trial (NCT03959202). Participants were 70.4±6.3 years old, 79.2% females, 21.6% with mild cognitive impairment. Actigraphy and corresponding self-reported sleep measures, including time in bed (TIB), sleep onset latency (SOL), total sleep time (TST), and sleep efficiency (SE) were collected using Actiwatch 2 for 7-10 days, sleep diaries, and Pittsburgh Sleep Quality Index (PSQI). Relative to Actigraphy measures, 11.2%, 38.4%, 52.0%, 35.2%, and 36.0%, of participants reported longer TIB(diary) (>15 minutes), TIB(PSQI) (>15 minutes), SOL(PSQI) (>5 minutes), TST(PSQI) (>15 minutes), and better SE(PSQI) (>5%) respectively, whereas 38.4%, 52.0%, 12.0%, 54.4%, and 28.0% of participants reported shorter TIB(diary), TIB(PSQI), SOL(PSQI), TST(PSQI), and worse SE(PSQI) by the same magnitudes. Multiple linear regression analyses adjusted for demographics suggest higher MoCA was associated with reduced Actigraphy/self-reported discrepancies (TIB(Actigraphy-diary):β=-13.6, p=0.037; TIB(Actigraphy-PSQI):β=-11.2, p< 0.01; SOL(Actigraphy-PSQI):β=-3.3, p=0.019; TST(Actigraphy-PSQI):β=-7.4, p=0.01; SE(Actigraphy-PSQI):β=-1.5, p=0.013). Higher pain behavior expression (TIB(Actigraphy-PSQI):β=7.3, p=0.011; SOL(Actigraphy-PSQI):β=2.7, p=0.014) and pain interference (TIB(Actigraphy-diary):β=8.8, p< 0.01) were associated with greater Actigraphy/self-reported discrepancies. In summary, cognitive function and pain were associated with Actigraphy/self-reported discrepancies among older adults without dementia. Given that cognition and pain may interfere with self-perceptions of sleep quality, sleep must be carefully assessed and interpreted in this population.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".