Faculty Bibliography

Introduction: The decline in optimal sleep duration among adolescents is well documented. Many factors may contribute to poor sleep duration, so it is important to understand the knowledge, patterns, and behavior about sleep among this population. This study investigated the (1) sleep patterns of adolescents on school days and weekends, (2) sleep knowledge and the extent of knowledge on sleep duration and (3) technology use. Methods: 345 adolescents (age range: 13-18) attending a local high school in grades 9 and 11 were invited to participate in the study. Data collection was conducted from May 2015-June 2015 via an online survey platform. A subset of adolescents participated in a focus group (n = 6). Results: 43% 9th grade males and 57% females and 47% 11th grade males and 53% females completed the survey. Participants completed the knowledge questions with 88% accuracy. Over one-third of 9th and 11th grade adolescents reported engaging in technology use before bed (39% and 36% respectively). 9th and 11th graders reported in short sleep duration during school days (86% and 84% respectively) and long sleep (< 10 hours) during the weekends (53% and 43% respectively). There were no significant differences between 9th and 11th graders. Using a semi-structured interview guide major themes in the focus group revealed that short sleep duration was related to fulfilling school assignments, preparation for college, and social media use. Finally, participants reported that sleep duration declined as they became older. Conclusion: These findings suggest that adolescents engage in both short and long sleep. There is sufficient knowledge about sleep, but poor sleep practices and hygiene are prevalent. Sleep education in schools should take into consideration the varying degrees of sleep practices and hygiene and technology use

OBJECTIVE: Obstructive sleep apnea (OSA) is a leading sleep disorder that is disproportionately more prevalent in minority populations and is a major risk factor for cardiovascular disease (CVD) morbidity and mortality. OSA is associated with many chronic conditions including hypertension, diabetes, and obesity, all of which are disproportionately more prevalent among blacks (ie, peoples of African American, Caribbean, or African descent). METHODS: This article reviews studies conducted in the United States (US) that investigated sleep screenings and adherence to treatment for OSA among blacks. In addition, guidelines are provided for implementing a practical framework to increase OSA screening and management among blacks. RESULTS: Several studies have documented racial/ethnic disparities in adherence to treatment for OSA. However, despite its public health significance, there is a paucity of studies addressing these disparities. Further, there is a lack of health programs and policies to increase screening and treatment of OSA among blacks and other minority populations. A practical framework to increase the number of blacks who are screened for OSA and treated appropriately is warranted. Such a framework is timely and major importance, as early identification of OSA in this high-risk population could potentially lead to early treatment and prevention of CVD, thereby reducing racial and ethnic disparities in sleep-related CVD morbidity and mortality.

AIM: The aim of this study was to synthesize the literature on the cultural aspects of sleep and their relevance to behavioral sleep research. METHODS: A narrative synthesis of the existing literature on sleep was conducted with a focus on its biological, sociological, political, and anthropological aspects. This synthesis was guided by the PEN-3 cultural model, developed by the primary author. RESULTS: The findings highlight the cross-cultural contexts within which people sleep and the role of varied sleeping arrangements in influencing sleep behavior and perspectives. Furthermore, the contexts in which sleep occurs, coupled with the influence of the family, and the positive aspects of sleep helped illustrate why cultural aspects of sleep are vital for a broader understanding of sleep. DISCUSSION: The authors conclude by highlighting the need to integrate studies on the biological, sociological, and political aspects of sleep. Our examination of the literature strongly suggests that careful assessment of epidemiological and clinical sleep data should consider the cultural aspects of sleep as well as the context in which sleep occurs, the role of the family, and positive aspects of sleep.

BACKGROUND: Few studies have examined the social and behavioral predictors of insufficient sleep. OBJECTIVE: To assess the social and behavioral predictors of insufficient sleep in the U.S. POPULATION: METHODS: Data from the 2009 Behavioral Risk Factor Surveillance System (BRFSS) were analyzed. Telephone interviews were conducted in six representative states that completed the optional sleep module. A total of 31,059 respondents were included in the present analysis. BRFSS-provided weights were applied to analyses to adjust for the use of complex design. RESULTS: The mean age for the sample was 56 +/- 16 years, with 63% of the sample being female; 88% identified as non-Hispanic white and 12% identified as non-Hispanic black; 42% were not married and 8% did not have a high school degree. The prevalence of insufficient sleep (<7 hours) was 37%. Multivariate-adjusted logistic regression revealed associations of four important factors with insufficient sleep, which were: working more than 40 hours per week [OR = 1.65, p < 0.001, 95% CI = 1.65-1.66], black race/ethnicity [OR = 1.37, p < 0.001, 95% CI = 1.37-1.38], history of heart disease [OR = 1.26, p < 0.001, 95% CI = 1.25-1.28], care-giving to family/friends [OR = 1.50, p < 0.001, 95% CI = 1.49-1.51], and lack of social and emotional support [OR = 1.24, p < 0.001, 95% CI = 1. 23-1.25]. CONCLUSION: Social and behavioral predictors of health uniquely contribute to the report of insufficient sleep and should be considered when developing programs to increase awareness of the adverse effects of insufficient sleep.

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.

Uncontrolled blood pressure (BP) is linked to increased risk of obstructive sleep apnea (OSA). However, few studies have assessed the impact of this relationship among blacks with metabolic syndrome (MetS). Data for this study were collected from 1035 blacks (mean age=62+/-13 years) enrolled in the Metabolic Syndrome Outcome study. Patients with a score 6 on the Apnea Risk Evaluation System were considered at risk for OSA. Of the sample, 77.1% were low-to-high OSA risk and 92.3% were hypertensive, of which 16.8% had uncontrolled BP levels. Analysis also showed that 60.4% were diabetic, 8.9% had a stroke history, 74.3% had dyslipidemia, 69.8% were obese and 30.9% had a history of heart disease. Logistic regression analyses were employed to investigate associations between uncontrolled BP and OSA risk, while adjusting for known covariates. Findings showed that uncontrolled BP independently increased the odds of OSA risk twofold (odds ratio=2.02, 95% confidence interval=1.18-3.48, P<0.05). In conclusion, our findings show that uncontrolled BP was associated with a twofold greater risk of OSA among blacks, suggesting that those with MetS and who have uncontrolled BP should be screened for the presence of OSA.Journal of Human Hypertension advance online publication, 6 August 2015; doi:10.1038/jhh.2015.78.

Purpose: Blacks are less likely to develop metabolic syndrome (MetS), a known cardiovascular risk factor. These findings should be interpreted cautiously because Blacks may not fit into the gold-standard diagnostic criteria and report lower lipid profiles levels. To resolve this issue, we suggest reclassifying the relative weighted effects of each MetS component in a diagnostic risk model. We argue that uncontrolled blood pressure is the strongest predictor of MetS in Blacks, because it causes obstructive sleep apnea (OSA), a known MetS risk factor. Method: Data were collected from 340 participants from the MetS Outcome study, a NIH-funded cohort study of 1,035 Blacks with MetS (mean age=62+/-13 years, 69% female, and 43% with annual family income <$10K). Patients with a BP <140/80 mm/Hg after several antihypertensive medications had uncontrolled BP and a score >6 on the Apnea Risk Evaluation System (ARES+/-) were considered high OSA risk. Results: 77.1% was at risk for OSA and 16.8% had uncontrolled BP. Mean systolic BP was 134.8+/-18.4; diastolic BP was 75.6+/-11.9; LDL cholesterol was 105.6+/-36.9; HDL cholesterol was 48.0+/-17.3; triglycerides were 135.8+/-81.2; glucose was 138.4+/-68.3; and HbA1c was 7.93+/-1.63. Uncontrolled BP increased the odds of OSA risk (OR=1.94, 95% CI=1.12-3.32, p<0.01) and was the strongest predictor of MetS in Blacks. Conclusion: Uncontrolled BP was associated with a twofold greater risk of OSA and the strongest predictor of MetS in Blacks. Blacks, therefore, with uncontrolled BP should be screened for the presence of OSA and MetS

BACKGROUND: This study ascertained whether individuals of the black race/ethnicity are unequally burdened by sleep-related overweight/obesity. METHODS: Analysis was based on data obtained from Americans (ages, 18-85 years) in the National Health Interview Survey (1977-2009). Sleep duration was coded as either very short sleep (VSS) (8 hours), referenced to 7-8-hour sleepers. Overweight was defined as body mass index (BMI) >/=25.0 and /=30 kg/m2, referenced to normal weight (BMI = 18.5-24.9 kg/m2). RESULTS: Multivariate-adjusted regression analyses indicated that, among whites, VSS was associated with a 10% increased likelihood of being overweight and 51% increased likelihood of being obese, relative to 7-8-hour sleepers. Short sleep was associated with a 13% increased likelihood of being overweight and 45% increased likelihood of being obese. Long sleep was associated with 21% increased likelihood of being obese. Among blacks, VSS was associated with a 76% increased likelihood of being overweight and 81% increased likelihood of being obese. Short sleep was associated with a 16% increased likelihood of being overweight and 32% increased likelihood of being obese. As for the white stratum, long sleep was associated with a 25% increased likelihood of being obese. CONCLUSION: Our investigation demonstrates strong linkages between inadequate sleep and overweight/ obesity among black and white Americans. Although it cannot be said that insufficient sleep causes overweight/obesity, individuals of the black race/ethnicity sleeping