1088 Sleep Resilience: A Dimension of Sleep Health Associated with Sleep Health Disparities

Dustin Sherriff, Levi Ward,Chongming Yang, Michael Gnatiko,Kara Duraccio, Andrew Wright, Danika Calvin, Bryce Klingonsmith,Daniel Kay

SLEEP(2024)

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摘要
Abstract Introduction Sleep health disparity refers to variations in sleep health that negatively impact disadvantaged and underserved populations. Sleep resilience is the ability to function emotionally, cognitively, and physically in the presence of sleep disturbance. In this study, we aimed to investigate whether self-reported sleep resilience in the face of future sleep disturbance is associated with current sleep disturbance and whether this association differed based on demographic variables. Methods A sample of 454 participants ages 18-85 (M=45) completed an online survey through Qualtrics that included demographic variables and a novel measure of projected sleep resilience. Participants also completed the PROMIS-Sleep Disturbance and the PROMIS-Sleep-Related Impairment questionnaires. The demographic variables included age, sex (male, female, non-binary), income level, race (white/non-white), relationship status (married/not married), number of dependents, and education level. Mixture modeling was used to examine whether sleep disturbance and sleep-related impairment predicted projected sleep resilience. A follow-up class analysis was used to determine whether these associations differed across demographic variables. Results Greater sleep disturbance and greater sleep-related impairment predicted lower projected sleep resilience. A latent class analysis revealed 2 classes (traditionally underserved and privileged) that had significant differences in the association between sleep disturbance and projected resilience. The underserved group (Class 1) included higher numbers of women who were more likely to be non-white with lower income, less educated, unmarried, fewer dependents, and more sleep disturbance. The privileged group (Class 2) included higher numbers of men who were more likely to be white with a higher income, highly educated, married, and have more dependents and less sleep disturbance. The underserved group projected lower future sleep resilience holding current sleep disturbance constant than the privileged group. Conclusion Sleep resilience is an important dimension of sleep health that is often overlooked and understudied. Our findings suggest that sleep resilience is lower in traditionally underserved individuals, which may compound sleep health disparities. Having lower projected sleep resilience in the face of future sleep disturbances may increase current stress levels and negatively influence sleep health behaviors. In an effort to rectify sleep health disparities, targeting the factors that contribute to lower projected sleep resilience may be a fruitful avenue. Support (if any)
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