Sleep health in a black community sample
Abstract Background Poor sleep health is a major health disparity and public health concern. The primary goal of this study was to accurately obtain the rates of self-reported sleep disorders, sleep dysfunction, and daytime sleepiness in a true community sample of black adults. Methods We used a com...
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Veröffentlicht in: | Sleep health 2016-06, Vol.2 (2), p.136-142 |
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Sprache: | eng |
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Zusammenfassung: | Abstract Background Poor sleep health is a major health disparity and public health concern. The primary goal of this study was to accurately obtain the rates of self-reported sleep disorders, sleep dysfunction, and daytime sleepiness in a true community sample of black adults. Methods We used a community-based participatory research design to identify a health priority to design a study that could ( a ) provide an accurate assessment of the problem, ( b ) help to better understand the barriers to treatment, and ( c ) provide the community with access to care. Subsequently, 470 black adults, approached at salons, barber shops, and churches throughout Brooklyn participated. They underwent anthropometric measurement and completed a self-reported sleep assessment. Results Sleep disorders (insomnia, obstructive sleep apnea) were found in 34% of the sample, and 75% of the population that had a sleep disorder was unaware of it. Fourteen percent of the sample self-identified as having obstructive sleep apnea, 38.0% reported having Insomnia, and 38% reported having excessive daytime somnolence. People with a sleep disorder described less satisfaction with their sleep quality and poorer health than did those without a sleep disorder. Conclusion The variability in the reported rates of sleep disorders in black samples suggests that the true rates of these conditions are not well-known. However, the large number of black individuals who have sleep disturbances warrants increased scientific and public health attention. In addition, with increased community involvement in research, there can be increased buy-in and greater accuracy in the assessments and reduced barriers to treatment. |
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ISSN: | 2352-7218 2352-7226 |
DOI: | 10.1016/j.sleh.2016.01.003 |