0828 BLACK-WHITE DISPARITIES IN SHORT SLEEP DURATION WITHIN DIFFERENT ENVIRONMENTAL HOUSING TYPES IN THE UNITED STATES
Bibliographic record
Abstract
Suboptimal housing may contribute to racial disparities in sleep health because many minority groups disproportionately live in lower-socioeconomic status environments. Few studies, however, have investigated if sleep duration varies by race within different types of living quarters. Using nationally representative 2013 and 2014 data from the National Health Interview Survey with a cross-sectional design, we investigated self-reported sleep duration by type of living quarter (house/apartment, mobile home/trailer, non-transient hotel, and dormitory) among Black and White adults in the US. Direct age-standardization was used to estimate the prevalence of short sleep duration (<7 hours) by living quarter among Blacks and Whites. While accounting for age, Poisson regression with robust variance was used to directly estimate separate prevalence ratios for short sleep among Blacks compared to Whites within housing types. Among 51,605 adults (mean age: 48.3 ± 0.16 years), 85% were non-Hispanic Whites and 15% Blacks. Fifty-two percent were female and 20% had an annual income of <$35,000. Blacks made up 15% of participants living in a house/apartment, 11% trailer, 29% hotel, and 25% dormitory. Compared to their White counterparts, Blacks living in houses/apartments had a 41% (Prevalence Ratio (PR): 1.41 [95% Confidence Interval (CI): 1.35–1.46]) increased prevalence of short sleep, a 21% (PR: 0.79 [95% CI: 0.64–0.99]) lower short sleep prevalence in trailers, and a non-significant increased prevalence in hotels or dormitories. Among individuals living in houses/apartments, short sleep was higher among Blacks compared to Whites either with or without certain health conditions; for example, short sleep was higher among obese Blacks (44.4% [95% CI: 42.3–46.4%]) compared to obese Whites (33.2% [95% CI: 32.0–34.4%]). Although non-significant, there was a suggestion of poorer sleep among Whites living in trailers compared to Blacks. No sleep duration differences were observed between Blacks and Whites receiving government housing assistance. Racial differences in sleep duration exist within some housing types. Future research needs to identify racial differences in physical and social features of housing and surrounding neighborhood characteristics that contribute to differences in sleep duration as an upstream approach to develop effective interventions that address downstream health disparities. N/A
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".