24 hour behaviors and dementia risk
Bibliographic record
Abstract
Abstract Background Short sleep duration, low physical activity and high sedentary time are associated with higher dementia risk. To date, previous studies have considered these behaviors in isolation, and not as inter‐related behaviors part of the 24‐h day. Compositional data analysis (CoDA) treats these behaviors as inter‐related within a constrained 24hrs. This allows for estimating the association of reallocating time from one behavior to another on health outcomes whilst adjusting for the remaining behaviors. Using CoDA, we estimated the association of substituting sleep duration for daytime behaviors (sedentary, light and moderate‐to‐vigorous physical activity [MVPA]) on dementia risk in those with short (<6h) and normal sleep (≥6h). Method 88,654 dementia‐free participants (63 years (Q1, Q3: 56, 68); 56% female) from the UK Biobank completed 7‐day/night accelerometry (Axivity AX3). Incident all‐cause dementia was ascertained based on hospital records, death records, and primary care. CoDA isometric log‐ratios were used to examine the association between 24‐h use of time and dementia risk. Risk ratios for the associations between reallocating up to 1h sleep time to time in other activities and all‐cause dementia were estimated. Result There were 484 incident all‐cause dementia cases over a median follow‐up of 7.2 years. Figure 1 presents the associations between discrete time‐use substitutions and dementia risk. In persons with normal sleep duration, replacing light activity with sleep time was associated with a lowering of dementia risk (Fig. 1c). Conversely, replacing MVPA with sleep time was associated with the largest increase in dementia risk (Fig. 1e). In persons with short sleep duration, replacing inactivity and light activity with sleep time was associated with a lowering of dementia risk (Fig. 1b‐d). In contrast to those with normal sleep duration, replacing sleep with MVPA did not lower risk of dementia in short sleepers (Fig. 1f). Conclusion The way in which 24‐h time use, comprised of sedentary behavior, light activity, MVPA, and sleep, is balanced may have implications for dementia risk. In short sleepers, prioritising 1h of sleep over sedentary or light activity could be a beneficial for dementia prevention. These findings have the potential to inform more targeted and precise dementia risk prevention guidelines.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".