Multidimensional Sleep and Self-Rated Physical Health and Depressive Symptoms Among Retired Older Adults: A Sex-Stratified Analysis
Bibliographic record
Abstract
OBJECTIVES: Individual sleep characteristics have been shown to independently influence physical and mental health in older adults, but these characteristics are often interdependent. However, few studies have explored multidimensional sleep health in relation to self-rated health outcomes among retired older adults, particularly with regard to sex differences. This study examined the associations between multidimensional sleep health, and self-rated physical and mental (i.e. depressive symptoms) health in retired older adults (M years of retirement = 6.59), stratified by sex. METHODS: = 154; Mage = 68.4, 55.2% female) reported physical health (RAND-12) and depressive symptoms (CES-D). Multidimensional sleep health was measured using wrist actigraphy to assess sleep efficiency, timing, duration, and regularity, and sleep diaries to evaluate daytime alertness and sleep satisfaction. Each component was dichotomized and summed for a composite score (0-6). Hierarchical linear regressions examined the relationships between multidimensional sleep health and health outcomes. RESULTS: Women had poorer multidimensional sleep health compared to men. In the full sample, poorer multidimensional sleep health was associated with worse self-rated physical health and depressive symptoms. Sex-stratified analyses revealed significant associations only in women. CONCLUSION: Multidimensional sleep health is associated with self-rated physical health and depressive symptoms in older retired women. Future research should explore why sleep health may be more salient for self-rated physical health and depressive symptoms in women vs. men and their links to health outcomes, providing insights for tailored interventions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".