Self-Reported Sleep in Older African Americans and White Americans
Bibliographic record
Abstract
<p class="Pa7"><strong>Objective: </strong>Assess the relationship of self-reported sleep quality and possible sleep disorders with disability in a racially diverse sample of community-dwelling older adults.</p><p class="Pa7"><strong>Methods: </strong>Participants included 943 non-demented older African Americans (n=452) and Whites (n=491) from two cohort studies, the Minority Aging Research Study (MARS) and the Rush Memory and Aging Project (MAP). Participants completed a 32-item questionnaire assessing sleep quality and the possible presence of three sleep disorders (sleep apnea, restless leg syndrome [RLS] and REM behavior disorder [RBD]). Disability was assessed with scales that quantified the ability to perform instrumental activities of daily living (IADL), basic activities of daily living (ADL), and physical mobility activities.</p><p class="Pa7"><strong>Results: </strong>More than half of the participants reported impaired sleep quality (51%), or the possible presence of at least one sleep disorder (57%; sleep apnea 44%, RLS 25% and RBD 7%). Sleep quality was rated poorer in African Americans, those with advancing age and fewer years of education (all P&lt;.05). Only sleep apnea risk was associated with age (P&lt;.02). In logistic regression models adjusted for age, sex, years of education, and race, both sleep quality and disorders were associated with disability (sleep quality with mobility disability (P&lt;.001), sleep apnea risk with mobility disability and IADL disability (all P&lt;.001) and RLS symptoms with mobility disability (P&lt;.01).</p><p class="Pa7"><strong>Conclusions: </strong>Results indicate that self-assessed impaired sleep is common in old age and is associated with disability. <em></em></p><p class="Pa7"><em>Ethn Dis.</em>2016;26(4):521-528; doi:10.18865/ ed.26.4.521</p><strong></strong>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 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".