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      Sleep disturbances in HIV-infected patients associated with depression and high risk of obstructive sleep apnea

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          Abstract

          Objective:

          To evaluate sleep disturbances in a diverse, contemporary HIV-positive patient cohort and to identify demographic, clinical, and immune correlates.

          Methods:

          A convenience sample of 176 patients from a racially and ethnically diverse HIV-positive patient cohort in an urban population. This was a cross-sectional, epidemiologic study. We surveyed participants using multiple standardized instruments to assess depression, sleep quality, and risk for sleep apnea. We analyzed demographic, behavioral, and clinical correlates.

          Results:

          A total of 56% of participants were female, 75% Black and 64% had heterosexual HIV risk. The median age was 49 years. Poor sleep quality (Pittsburgh Sleep Quality Index > 5) was reported by 73% of patients and 52% met insomnia diagnosis criteria. A single question about self-reported sleep problems predicted a Pittsburgh Sleep Quality Index > 5 with a sensitivity and specificity of 82% and 81%, respectively. Female sex was significantly associated with higher risk of poor sleep quality, depression, and insomnia, whereas higher risk of obstructive sleep apnea was significantly associated with older age, male sex, obesity (body mass index ⩾ 30 kg/m 2), and metabolic comorbidities. High risk for obstructive sleep apnea, high rate of depression, and poor sleep hygiene represent treatment targets for sleep problems in HIV patients.

          Conclusion:

          Sleep disturbances were common in this patient cohort, although largely undiagnosed and untreated. Sleep problems are linked to worse disease progression and increased cardiovascular mortality. Screening for sleep problems with a single question had high sensitivity and specificity. In those patients with self-reported sleep problems, screening for obstructive sleep apnea, depression, and sleep hygiene habits should be part of routine HIV care.

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          Most cited references37

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          Sleep disturbances and depression: risk relationships for subsequent depression and therapeutic implications

          The majority of individuals with depression experience sleep disturbances. Depression is also over-represented among populations with a variety of sleep disorders. Although sleep disturbances are typical features of depression, such symptoms sometimes appear prior to an episode of depression. The bidirectional associations between sleep disturbance (especially insomnia) and depression increase the difficulty of differentiating cause-and-effect relationships between them. Longitudinal studies have consistently identified insomnia as a risk factor for the development of a new-onset or recurrent depression, and this association has been identified in young, middle-aged, and older adults. Studies have also observed that the combination of insomnia and depression influences the trajectory of depression, increasing episode severity and duration as well as relapse rates. Fortunately, recent studies have demonstrated that both pharmacological and nonpharmacological interventions for insomnia may favorably reduce and possibly prevent depression. Together, these findings suggest that sleep-related symptoms that are present before, during, andlor after a depressive episode are potentially modifiable factors that may play an important role in achieving and maintaining depression remission.
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            The sleep and technology use of Americans: findings from the National Sleep Foundation's 2011 Sleep in America poll.

            To describe the technology use and sleep quality of Americans, and the unique association between technology use and sleep disturbances. Interviews were conducted via random digit dialing (N = 750) or the Internet (N = 758). 1,508 Americans (13-64 years old, 50% males) matched to 2009 U.S. Census data provided complete interviews. The sample was further divided into adolescents (13-18 years, N = 171), young adults (19-29 years, N = 293), middle-aged adults (30-45 years, N = 469), and older adults (46-64 years, N = 565) to contrast different generations' technology use. Participants answered a 47-item semi-structured survey, including questions about their sleep habits, and the presence and use of technology in the hour before bed in the past 2 weeks. Nine of 10 Americans reported using a technological device in the hour before bed (e.g., TVs the most popular; 60%). However, those under 30 years of age were more likely to use cell phones (72% of adolescents, 67% of young adults) than those over 30 years (36% of middle-aged, and 16% of older adults). Young adults' sleep patterns were significantly later than other age groups on both weekdays and weekend nights. Unlike passive technological devices (e.g., TV, mp3 music players), the more interactive technological devices (i.e., computers/laptops, cell phones, video game consoles) used in the hour before bed, the more likely difficulties falling asleep (β = 9.4, p < 0.0001) and unrefreshing sleep (β = 6.4, p < 0.04) were reported. Technology use near bedtime is extremely prevalent in the United States. Among a range of technologies, interactive technological devices are most strongly associated with sleep complaints.
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              Sleep disparity, race/ethnicity, and socioeconomic position.

              Sleep represents a set of biological functions necessary for the maintenance of life. Performing these functions, though, requires that an individual engage in behaviors, which are affected by social and environmental factors. Race/ethnicity and socioeconomic position represent categories of factors that likely play a role in the experience of sleep in the community. Previous studies have suggested that racial/ethnic minorities and the socioeconomically disadvantaged may be more likely to experience sleep patterns that are associated with adverse health outcomes. It is possible that disparities in sleep represent a pathway by which larger disparities in health emerge. This review (1) contextualizes the concept of race/ethnicity in biomedical research, (2) summarizes previous studies that describe patterns of sleep attainment across race/ethnicity groups, (3) discusses several pathways by which race/ethnicity may be associated with sleep, (4) introduces the potential role of socioeconomic position in the patterning of sleep, and (5) proposes future research directions to address this issue.
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                Author and article information

                Journal
                SAGE Open Med
                SAGE Open Med
                SMO
                spsmo
                SAGE Open Medicine
                SAGE Publications (Sage UK: London, England )
                2050-3121
                08 April 2019
                2019
                : 7
                : 2050312119842268
                Affiliations
                [1 ]Department of Internal Medicine, University of Iowa Hospitals and Clinics and The Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA, USA
                [2 ]Section of General Internal Medicine, Department of Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA
                [3 ]Cerner Corporation, Kansas City, MO, USA
                [4 ]Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
                Author notes
                [*]Ellen M Tedaldi, Section of General Internal Medicine, Department of Medicine, Lewis Katz School of Medicine, Temple University, 1316 W. Ontario Street, Philadelphia, PA 19140, USA. Email: Ellen.Tedaldi@ 123456tuhs.temple.edu
                Author information
                https://orcid.org/0000-0001-7596-1779
                Article
                10.1177_2050312119842268
                10.1177/2050312119842268
                6454647
                31001423
                11a6ac3b-6114-4392-8330-056b5d731b91
                © The Author(s) 2019

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 29 October 2018
                : 5 March 2019
                Categories
                Original Article
                Custom metadata
                January-December 2019

                hiv,sleep apnea,insomnia,sleep disparities,women’s sleep
                hiv, sleep apnea, insomnia, sleep disparities, women’s sleep

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