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Subjective Sleep Inadequacy and Self-rated Health among Homeless Adults

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Objective: To examine the association between subjective sleep inadequacy and self-rated health in a sample of 244 homeless adults. Methods: Logistic regression analyses were conducted to assess associations among 4 sleep inadequacy items (days of inadequate rest or sleep, hours of sleep, days unintentionally falling asleep during daytime, and snoring) and self-rated health in analyses adjusted for age, sex, race, education, lifetime homelessness, lifetime serious mental illness, and current depression. Results: Days of inadequate rest or sleep, fewer hours of sleep, and days unintentionally falling asleep were each significantly associated with higher odds of poor/fair self-rated health. Conclusion: Because both inadequate sleep and poor self-rated health independently predict mortality, interventions targeting sleep quality among homeless adults are needed.

Keywords: HOMELESSNESS; SELF-RATED HEALTH; SLEEP INADEQUACY

Document Type: Research Article

Affiliations: 1: The University of Houston, College of Education, Department of Educational Psychology, Houston, TX, USA 2: The University of Houston, College of Education, Department of Educational Psychology, Houston, TX, USA. [email protected] 3: The University of Texas Health Science Center, School of Public Health, Dallas, TX, USA

Publication date: 01 January 2015

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  • The American Journal of Health Behavior seeks to improve the quality of life through multidisciplinary health efforts in fostering a better understanding of the multidimensional nature of both individuals and social systems as they relate to health behaviors.

    The Journal aims to provide a comprehensive understanding of the impact of personal attributes, personality characteristics, behavior patterns, social structure, and processes on health maintenance, health restoration, and health improvement; to disseminate knowledge of holistic, multidisciplinary approaches to designing and implementing effective health programs; and to showcase health behavior analysis skills that have been proven to affect health improvement and recovery.

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