Faculty Bibliography

Introduction: Many risk factors have been implicated in the pathophysiology of obstructive sleep apnea (OSA). Recent evidence suggests that medical risk factors, such as uncontrolled/high blood pressure (BP), high cholesterol, triglycerides, high body mass index, diabetes, and dyslipidemia (all indicators of metabolic syndrome) are highly comorbid with OSA. However, data on the relationships between these risk factors and OSA among blacks with metabolic syndrome are lacking. Methods: Data for the present study were collected from 340 participants from the Metabolic Syndrome Outcome (MetSO) study, a NIHfunded cohort study of 1,035 blacks with metabolic syndrome (mean age = 62 + 13 years, 69% female, and 43% with annual family income < $10K). During initial interviews, patients provided sociodemographic, health risks, and history of chronic diseases. Patients with a score > 6 on the Apnea Risk Evaluation System (ARES) were considered at high OSA risk. Logistic regression analyses were employed to investigate whether metabolic syndrome indicators, particularly uncontrolled blood pressure, increased the odds of OSA. Results: Of the sample, 77.1% was at risk for OSA and 16.8% had uncontrolled BP. Analysis also showed 60.4% were diabetic, 8.9% had a stroke history, 74.3% had dyslipidemia, 91.1% were either overweight or obese and 30.9% had heart disease. 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 was 135.8 + 81.2; glucose was 138.4 + 68.3; and HbA1c was 7.93 + 1.63. Logistic regression analysis showed that uncontrolled BP independently increased the odds of OSA risk (OR = 1.94, 95% CI = 1.12-3.32, p < 0.01). Conclusion: Our indings suggest that uncontrolled BP was associated with a twofold greater risk of OSA in blacks. The clinical implication of this inding is that blacks with metabolic syndrome and who have uncontrolled BP should be screened for the presence of OSA

Introduction: Identiication of risk factors for obstructive sleep apnea (OSA) is important to enable comprehensive intervention to reduce associated cardiovascular (CV) morbidity and mortality. The Metabolic Syndrome Outcome Study provides a unique opportunity to assess the presence of these factors among blacks, a group that is at high risk for adverse CV outcomes. The purpose of this study was to investigate risk of OSA among blacks with metabolic syndrome Methods: The present study utilized data from the Metabolic Syndrome Outcome (MetSO) study, an NIH-funded cohort study of blacks with metabolic syndrome. A total of 1,035 patients provided data for the present analysis. Patients were diagnosed with metabolic syndrome using criteria articulated in the joint interim statement for harmonizing the metabolic syndrome. OSA risks for all patients were assessed with the Apnea Risk Evaluation System (ARES). Those with an ARES score > 6 were considered at high OSA, based on previous validation studies. Data was coded and analyzed by an experienced statistician using SPSS 19.0. Results: The average age of the sample was 62 + 14 years (range: 20- 97); 71% were female. Of the sample, 93% were diagnosed with hypertension; 61%, diabetes; 72%, dyslipidemia; 90% were overweight/ obese; 33% had a history of heart disease and 10% had a stroke. ARES data indicated that 48% were at high OSA risk. Using multivariate logistic regression analysis, adjusting for age and gender, we observed that obesity was the strongest predictor of OSA risk (OR = 1.59, 95%CI = 1.24-2.04, p < 0.0001). This inding remained signiicant even after adjustment for blood pressure, LDL, HDL, and glucose levels (OR = 1.44, 95%CI = 1.11-1.86, p < 0.001). Conclusion: Of all of the markers of the metabolic syndrome, obesity is the most important predictor of increased risk of OSA among blacks. Our inding is consistent with previous research regarding the obesityapnea link

Introduction: Sleep among blacks with metabolic syndrome is not well characterized. Our study examined sleep characteristics of black men and women with a diagnosis of metabolic syndrome. Methods: The present study utilized data from the Metabolic Syndrome Outcome Study (MetSO), an NIH-funded cohort study of blacks with metabolic syndrome (N = 1,035). Patients [mean age = 62 + 14 years; female = 71%] were diagnosed with metabolic syndrome using criteria articulated in the joint interim statement for harmonizing the metabolic syndrome. They provided self-reported data including sleep habits and insomnia symptoms. They were administered the Apnea Risk Evaluation System (ARES) to ascertain risk of obstructive sleep apnea (OSA). Patients with a score of > 6 on the ARES scale were considered at high OSA risk, based on validation studies. Results: Of the sample, 60% were diagnosed with diabetes; stroke, 10%; heart disease, 31%; hypertension, 93%; overweight/obese, 90%. Based on ARES data, 48% were at risk for OSA. Analysis also showed that 53% reported feeling sleepy during the day, and 10% had an insomnia diagnosis. Speciic insomnia symptoms included dificulty falling asleep (38%), dificulty maintaining sleep (42%), early morning awakening (46%); 53% reported daytime naps, and 12% used sleep medication. Prevalence of short sleepers (< 6 hrs) and long sleepers (> 9 hrs), referenced to healthy sleepers (7-8 hrs), was 70% and 19%, respectively. Based on chi-squared analysis, there was signiicant difference between males and females in regard to reported daytime sleepiness (41% vs. 56%; x2 = 7.736, p < 0.05), dificulty falling asleep (34% vs. 41%; x2 = 5.252, p < 0.05), and daytime naps (60% vs. 50%, x2 = 8.338, p < 0.05). No other signiicant gender differences were observed. Conclusion: Our indings suggest that a large number of blacks with metabolic syndrome experience insomnia symptoms, use sleep aids, and are both short and long sleepers. These sleep-related problems are associated with a myriad of !

Introduction: Although the relationship between sleep duration and body mass index (BMI) has been well-characterized, the underlying mechanisms have not. Understanding which factors explain this relationship would provide important insights in developing effective public health interventions to reduce associated cardiometabolic risks. The present study investigated 5 potential mediators of the relationship between sleep duration and BMI. Methods: Data from the 2009 Behavioral Risk Factor Surveillance System (BRFSS) was used in our analysis. BRFSS is a CDC-sponsored project representing the world's largest ongoing, state-speciic, randomized telephone survey that measures behavioral risk factors among U.S. adults [mean age = 56 + 16 years, female = 63%]. Analysis focused on interviews conducted in six representative states, soliciting sociodemographic, medical, sleep, and health-risk data, yielding observations for n = 35,895 respondents. A bootstrapping method was employed to generate conidence intervals (BCCI) ascertaining total and unique mediation across all 5 hypothesized mediators simultaneously (using 1,000 bootstrap samples) of the sleep duration and BMI relationship. The hypothesized mediators included: alcohol use, diet, physical activity, general health status, and life satisfaction. Age and sex were adjusted in all tested models. Results: Analysis showed that for each additional hour of sleep BMI decreases by 0.15 unit. Evidence of unique mediation was noted for: physical activity (BCCI = 0.0017 to 0.0102; SE = 0.0022), diet (BCCI =-0.0138 to-0.0052; SE = 0.0022), and general health status (BCCI =-0.0379 to-0.0079; SE = 0.0423). However, there was no evidence of unique mediation for: alcohol use (BCCI =-0.0013 to 0.0019; SE = 0.0008) or life satisfaction (BCCI =-0.0057 to 0.0057; SE = 0.0028). Conclusion: These indings suggest that the sleep and BMI relationship may be partially mediated by physical activity, diet, and general health. This is consistent with previous hypotheses regard!

Introduction: Blacks are less likely to adhere to sleep apnea treatment compared with whites. This study explored the unique perspectives of blacks with metabolic syndrome who were referred for treatment of obstructive sleep apnea (OSA) at local sleep clinics. Methods: A total of 340 adults from the Metabolic Syndrome Outcome Study (MetSO), an NIH-funded cohort study of blacks, were randomly assigned to receive either Tailored-Telephone Intervention or regular standard of care. Prior to randomization, participants provided a detailed sleep history assessing sleep habits and OSA risk. The qualitative study involved 4 focus groups (mean age = years; 4 Males, 22 Females). A focus group guide was used to elicit responses from participants. Interviews were audio-taped and transcribed verbatim. Initial a priori codes were developed to guide initial coding. Analysis was guided by grounded theory. We explored 3 important questions: Q1) What are the potential barriers and facilitators of OSA evaluation? Q2) What are the potential barriers and facilitators of CPAP adherence? Q3) What are the experiences of blacks who participated in the intervention? Results: Themes for each question were as follows: Q1 a) general sleep disturbances, b) presence of other health conditions, c) encouragement from loved ones and d) rapport with medical provider plays a key role in adhering to OSA evaluation. Q2 a) improvement in sleep apnea, b) CPAP side effects, c) mistrust of the medical system, d) socio-economic factors limiting ability to participate and e) perception that CPAP device is not necessary were barriers and facilitators of CPAP adherence. Q3 a) having received meaningful information about sleep disorders, sleep hygiene b) increase in health information and c) rapport with the health educator were the experiences of participants in the intervention. Conclusion: To our knowledge, this is the irst study to describe qualitative indings of blacks with metabolic syndrome that participated in an OSA-related interve!

Introduction: Sleep disturbance is a common complaint in the general population. Studies have shown that there are substantial differences between and within racial/ethnic groups with respect to reporting sleep problems, with blacks being less likely to report such problems. Previous studies, however, have not speciically examined black patients with symptoms of obstructive sleep apnea (OSA). This study sought to investigate further whether blacks at risk for OSA are likely to report sleep problems, which would suggest no bias in reporting. Methods: We analyzed data from the Metabolic Syndrome Outcome (MetSO) study, an NIH-funded cohort study of 1,035 blacks (mean age: 62.3 + 13.5 years, women = 69%) with metabolic syndrome. Metabolic syndrome was diagnosed using criteria articulated in the joint interim statement for harmonizing the metabolic syndrome. Patients with a score > 6 on the Apnea Risk Evaluation System (ARES) were considered at high OSA risk. To assess sleep habits and problems, we administered the Sleep Disorders Screening questionnaire. The data was coded and analyzed using SPSS 19.0. Results: Of the sample, 60.4% had diabetes; 92.3%, hypertension; 74%, dyslipidemia; and 66.9%, obesity. Overall, 48.9% of the patients were at high OSA risk. Patients at OSA risk were more likely to report having trouble falling asleep (58.3% vs. 43.7%, p < 0.001), trouble staying asleep (60.5% vs. 41.2%, p < 0.001), complaint of early morning awakenings (58.4% vs. 42.2%, p < 0.001), daytime naps (53.4% vs. 44.4%, p < 0.001), excessive daytime sleepiness (56.8% vs. 40.2%, p < 0.001), and being diagnosed with insomnia (63.7% vs. 47.9, p < 0.001). Conclusion: Nearly half of the blacks with metabolic syndrome were at risk for OSA. Those at OSA risk were more likely to report sleep problems. Compared with previous studies, our analysis does not show a reporting bias among blacks, at least among those at risk for OSA

Melatonin is a hormone secreted by the enigmatic pineal gland in response to darkness, hence the name hormone of darkness. It has generated a great deal of interest as a therapeutic modality for various diseases particularly sleep disorders. This pleiotropic molecule has anti-inflammatory, antioxidant and anticoagulopathic properties in addition to its endothelial protective effects. In this article we discuss melatonin secretion and mechanisms of action as well as therapeutic rationale. We also highlight the potential utility of melatonin in the deadly modern-day Ebola epidemic.

BACKGROUND: Little is known about the association between visual impairment and insomnia symptoms in elderly populations. The purpose of this study was to ascertain associations between self-reported visual impairments and insomnia symptoms in a community-based sample of Russian immigrants. METHOD: Sample consisted of 307 community-residing Russians (ages: 25-95 years, mean=72.64 +/- 9.62; women=54% and men=46%). Semi-structured interviews assessed health-care needs and physical health characteristics. Collected demographic and health-related data were analyzed using SPSS 19.0. RESULTS: Overall, 93% reported at least one of several major health problems: visual impairment (48.4%), hypertension (53%), diabetes (25.7%), arthritis (52.8%), cancer (10.5%), weight problems (34.1%), and anxiety/depressive symptoms (43%), 62% had an insomnia diagnosis. Unadjusted logistic regression analysis showed that individuals with visual impairment were nearly three times as likely as those without to report insomnia symptoms [OR = 2.73, p < 0.01; 95% CI = 1.68-4.48]. Adjusting for the presence of socio demographic variables reduced the odds to 2.68; further adjustment for social isolation and anxiety and depressed symptoms reduced the odds to 2.20.Anxiety/depression mediated the relationship between visual impairment and insomnia. CONCLUSION: Individuals with visual impairment have twice the odds of reporting insomnia independent of anxiety/depression and social isolation, two common problems affecting quality of life in that population.

Epidemiologic studies have consistently shown that sleeping <7h and >/=8h is associated with increased mortality and morbidity. The risks of short sleep may be consistent with results from experimental sleep deprivation studies. However, there has been little study of chronic moderate sleep restriction and little evaluation of older adults who might be more vulnerable to negative effects of sleep restriction, given their age-related morbidities. Moreover, the risks of long sleep have scarcely been examined experimentally. Moderate sleep restriction might benefit older long sleepers who often spend excessive time in bed (TIB) in contrast to older adults with average sleep patterns. Our aims are: (1) to examine the ability of older long sleepers and older average sleepers to adhere to 60min TIB restriction; and (2) to contrast effects of chronic TIB restriction in older long vs. average sleepers. Older adults (n=100) (60-80years) who sleep 8-9h per night and 100 older adults who sleep 6-7.25h per night will be examined at 4 sites over 5years. Following a 2-week baseline, participants will be randomized to one of two 12-week treatments: (1) a sleep restriction involving a fixed sleep-wake schedule, in which TIB is reduced 60min below each participant's baseline TIB; and (2) a control treatment involving no sleep restriction, but a fixed sleep schedule. Sleep will be assessed with actigraphy and a diary. Measures will include glucose tolerance, sleepiness, depressive symptoms, quality of life, cognitive performance, incidence of illness or accident, and inflammation.

AIMS: The effect of race/ethnicity on the risk of obesity associated with short or long sleep durations is largely unknown. This study assessed whether the sleep-obesity link differentially affects black and whites. METHODS: Analysis was based on data obtained from 29,818 adult American respondents from the 2005 National Health Interview Survey, a cross-sectional household interview survey. RESULTS: Multivariate-adjusted odds ratios for obesity associated with short sleep (/=9 h) for blacks and whites were 1.48 (95% CI: 1.14-1.93) and 0.77 (95% CI: 0.67-0.89), respectively (all p < 0.001). CONCLUSION: Race/ethnicity may have significantly influenced the likelihood of reporting obesity associated with short and long sleep durations. Relative to white respondents, an excess of 78% of black respondents showed increased obesity odds associated with short sleep. Black long sleepers also showed increased odds for obesity, but white long sleepers may be at a reduced obesity risk.