Dose-response associations of device measured sleep regularity and duration with incident dementia in 82391 UK adults
Bibliographic record
Abstract
ABSTRACT Objectives To evaluate the associations of device-measured sleep duration and regularity with incident dementia, and to explore whether regular sleep might mitigate any association of sleep duration with dementia. Methods This population-based prospective cohort study of 82391 adults from the UK Biobank accelerometry subsample included adults aged 43 to 79 years old in England, Scotland, and Wales. Sleep duration (h/day) and Sleep Regularity Index (SRI, range 0-100) were calculated from the wrist-worn accelerometry data collected by participants over the course of one week. Cox proportional hazard models were used to estimate the hazard ratios (HRs) and assess the independent associations between sleep and incident dementia after adjustment for common demographic and contextual covariates. Results Over a mean follow-up of 7.9 years, during which 694 incident dementia cases occurred, there was a U-shaped association between sleep duration and incident dementia. Short sleep (<7 h) was associated with increased dementia risk, while long sleep (≥ 8h) was not significantly associated with dementia risk. The median sleep duration for short sleepers (<7 h) of 6.5 hours was associated with an HR of 1.19 (95% CI 1.01, 1.40) for incident dementia. Sleep regularity was negatively associated with dementia risk in a near-linear fashion. The sample median SRI of approximately 73, compared to the reference point of 51, was associated with an HR of 0.76 (95%CI 0.61, 0.94). The SRI value where the risk reduction was 50% of the maximum observed of 66, was associated with an HR of 0.77 (95%CI 0.63, 0.95). Among individuals with sleep duration outside the optimal range (too short or too long), less regular sleep was associated with increased risk of dementia. Among those with optimal sleep duration (7-8h/day), there was no significant association between sleep regularity and dementia risk. Compared to the reference point (SRI: 51), an SRI value of 62 for non-optimal sleepers was associated with a 25% reduction in risk for dementia (HR: 0.75; 95% CI 0.63, 0.90). Conclusions A regular sleep pattern may mitigate some adverse effects of inadequate sleep duration, suggesting that interventions aimed at improving sleep regularity may be a suitable option for people not able to achieve the recommended hours of sleep.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Research integrity | 0.001 | 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".