Sleep and Mental Health Among Older Adults in the Canadian Longitudinal Study on Aging
Bibliographic record
Abstract
Abstract Background Global studies have demonstrated consistent associations between sleep problems and mental health and well-being in older adults, however Canadian data are lacking. We investigated associations between sleep quantity and quality with both mental illness symptoms and well-being among older adults in Canada. Methods We used cross-sectional baseline data from the Canadian Longitudinal Study on Aging, a national survey of 30,097 community-dwelling adults aged 45 years and older. Self-reported sleep measures included average past-week sleep duration (short [<6h], normal [6-8h], long [>8h]), and sleep quality (satisfied or dissatisfied vs neutral). Mental illness outcomes included depressive symptoms and psychological distress. Mental well-being outcomes included self-rated mental health and satisfaction with life. We used modified Poisson regression models with adjustment for sociodemographic, behavioural, and clinical factors, and stratification by sex and age to explore effect modification. Results In the unadjusted analysis, short and long sleep duration and sleep dissatisfaction were associated with higher mental illness symptoms and lower well-being across all outcomes. Sleep satisfaction was associated with a lower likelihood of mental illness symptoms and better well-being. Short sleep duration was associated with the largest effects on mental health outcomes. Self-rated mental health and depressive symptoms had the largest associations with sleep measures. Effects were larger in males and the 45 to 54 year age group. Conclusions Preliminary evidence suggests sleep duration and quality are associated with symptoms of depression, psychological distress, and poor mental well-being among older adults. We are unable to determine whether sleep problems are a cause or consequence of poor mental health. Nonetheless, sleep may be an important target for public health initiatives to improve mental health and well-being among older adults. Key messages Our findings contribute further evidence that sleep difficulties are associated with adverse health outcomes including higher mental illness symptoms and lower well-being among older adults. Sleep disturbances are an unmet public health problem, and may be an important target for public health initiatives to improve mental health and well-being among older adults.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".