0828 BLACK-WHITE DISPARITIES IN SHORT SLEEP DURATION WITHIN DIFFERENT ENVIRONMENTAL HOUSING TYPES IN THE UNITED STATES
Notice bibliographique
Résumé
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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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».