Sleep Duration and Cognitive Performance in Middle‐Aged and Older Adults: What is the Role of Depression?
Bibliographic record
Abstract
BACKGROUND: Recent research has highlighted the importance of sleep on cognitive processes. However, conflicting evidence exists regarding optimal sleep duration and the impact of other co-occurring conditions, such as depression. A diagnosis of depression in mid-life may increase the risk of developing dementia. We examined the association between self-reported sleep duration and cognition and whether depression status modified this relationship. METHOD: Dementia-and-stroke-free participants 45 years and older from the Framingham Heart Study Third-Generation, Omni 2, and New Off-spring Cohorts were included (n = 1,853; age 49.8[SD 9.2] years; 42.69% male; Table 1). Neuropsychological testing assessed verbal learning and memory abilities, abstract reasoning skills, processing speed and visuospatial memory. Depression was defined as having CES-D ≥16 or being under pharmacological treatment (n = 448; 32%). Multivariable linear regression models examined the association between sleep duration categories (≤6h; >6-<9h [reference]; ≥9h), individual cognitive tasks and global cognition, adjusting for age, sex, education and time between sleep and cognitive assessments. A second model included further adjustment for vascular risk factors and APOE4 status. RESULT: Long sleep duration (≥9h) was associated with worse global cognition (β±SE: -0.24±0.07; p<0.001) compared to average sleep duration. In cognitive domain-specific tasks, long sleep was associated with worse verbal learning and memory abilities (-1.50±0.60, p = 0.013), visuospatial memory (-1.74±0.42, p<0.001), and processing speed (-0.08±0.03, p = 0.014), but not with abstract reasoning skills (-0.06±0.28, p = 0.838). Depression status significantly modified the association (global cognition int. p = 0.015; visual int. p = 0.006; and processing speed int. p = 0.038), where long sleep duration was associated with global cognition (-0.34±0.11; p = 0.003), visuospatial memory (-2.16±0.68; p = 0.002), and processing speed (-0.14±0.05; p = 0.011) in those with depression. Long sleep duration was also associated with visuospatial memory in those without depression (-1.27±0.55, p = 0.022) (Table 3). Short sleep duration (≤6h) was not associated with cognition (Table 2) and did not interact with depression status (Table 3). CONCLUSION: Long sleep duration was associated with worse cognition particularly among adults with depression, underscoring the complex sleep-mood-cognition interplay. Further research should explore the longitudinal impacts and causal mechanisms of suboptimal sleep. These findings may inform public health promotion of optimal sleep to maintain cognitive health among persons with depression.
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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 | 0.000 |
| Research integrity | 0.001 | 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 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".