Sleep health, cognitive function, and self‐management skills in middle‐aged adults
Bibliographic record
Abstract
Abstract Background Poor sleep health has been associated with worse cognitive and health outcomes in older adults. Less is known about this relationship in midlife. Thus, we aimed to investigate the relationship between self‐reported sleep health, cognitive function, and performance on common health tasks among middle‐aged adults, as sleep may be a modifiable target to address later life risk of cognitive decline. Method English‐speaking adults aged 35‐64 were recruited from an academic general internal medicine practice and federally qualified health centers in the greater Chicagoland area. Multidimensional sleep health (regularity, satisfaction, alertness, timing, efficiency, and duration) was measured by the RU‐SATED questionnaire. Global cognitive function was measured using the Montreal Cognitive Assessment (MoCA); age‐ and education‐adjusted Z‐scores were calculated. Cognitive impairment was defined as MoCA Z‐score lower than one standard deviation below population mean. Performance on common health tasks (e.g. comprehension of print health material, recall of spoken instructions, dosing medications, recall of multimedia education) were assessed using the Comprehensive Health Activities Scale (CHAS). We examined the association between sleep health, cognitive impairment, and health task performance using univariate and multivariable logistic regression. Covariates, selected a priori, included age, sex, number of chronic conditions, and depressive symptoms. Result A total of 310 participants (mean age 51.2 ± 8.1; 66% female; 39% non‐Hispanic Black, 32% non‐Hispanic White, 21% Hispanic; 54% with 2+ chronic conditions) were included in analyses. The median sleep health score was 8 (interquartile range: 6‐10) and cognitive impairment was found in 11.3%. Poorer sleep health was significantly associated with cognitive impairment after adjusting for a priori covariates (adjusted odds ratio, 0.98; 95% CI, 0.96‐0.99; P = 0.007). Both poorer sleep health (ß, 1.11; 95% CI, 0.22‐1.99; P = 0.014) and cognitive impairment (ß, ‐27.7; CI, (‐34.3)‐(‐21.1); P<0.001) were independently associated with poorer performance on health tasks, after adjusting for a priori covariates. Conclusion Poorer self‐reported sleep health in midlife was associated with a greater likelihood of cognitive impairment, whereas both poorer sleep health and cognitive impairment were associated with lower self‐management abilities to navigate healthcare. Future studies should examine whether sleep‐targeted intervention in midlife can mitigate cognitive later‐life decline and poorer health outcomes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".