Faculty Bibliography

BACKGROUND: Epidemiologic studies show a curvilinear relationship between inadequate sleep (< 7 or > 8 hours) and obesity (Body Mass Index > 30 kg/m2), which have enormous public health impact. METHODS: Using data from the National Health Interview Survey, an ongoing nationally representative cross-sectional study of non-institutionalized US adults (>/=18 years) (1977 through 2009), we examined the hypothesis that inadequate sleep is independently related to overweight/obesity, with adjustment for socio-demographic, health risk, and medical factors. Self- reported data on health risks, physician-diagnosed medical conditions, sleep duration, and body weight and height were used. RESULTS: Prevalence of overweight and obesity increased from 31.2% to 36.9% and 10.2% to 27.7%, respectively. Whereas prevalence of very short sleep (<5 hours) and short sleep (5-6 hours) has increased from 1.7% to 2.4% and from 19.7% to 26.7%, it decreased from 11.6% to 7.8% for long sleep. According to multivariate-adjusted multinomial regression analyses, odds of overweight and obesity associated with very short sleep and short sleep increased significantly from 1977 to 2009. Odds of overweight and obesity conferred by long sleep did not show consistent and significant increases over the years. Analyses based on aggregated data showed very short sleepers had 30% greater odds of being overweight or were twice as likely to be obese, relative to 7-8 hour sleepers. Likewise, short sleepers had 20% greater odds of being overweight or 57% greater odds of being obese. Long sleepers had 20% greater odds of being obese, but no greater odds of being overweight. CONCLUSIONS: Our findings support the hypothesis that prevalence of very short and short sleep has gradually increased over the last 32 years. Inadequate sleep was associated with overweight and obesity for each available year.

INTRODUCTION: Over the past half century, evidence has been accumulating on the emergence of obstructive sleep apnea (OSA), the most prevalent sleep-disordered breathing, as a major risk factor for cardiovascular disease. A significant body of research has been focused on elucidating the complex interplay between OSA and cardiovascular risk factors, including dyslipidemia, obesity, hypertension, and diabetes mellitus that portend increased morbidity and mortality in susceptible individuals. CONCLUSION: Although a clear causal relationship of OSA and dyslipidemia is yet to be demonstrated, there is increasing evidence that chronic intermittent hypoxia, a major component of OSA, is independently associated and possibly the root cause of the dyslipidemia via the generation of stearoyl-coenzyme A desaturase-1 and reactive oxygen species, peroxidation of lipids, and sympathetic system dysfunction. The aim of this review is to highlight the relationship between OSA and dyslipidemia in the development of atherosclerosis and present the pathophysiologic mechanisms linking its association to clinical disease. Issues relating to epidemiology, confounding factors, significant gaps in research and future directions are also discussed.

BACKGROUND: Excessive daytime sleepiness (EDS) often occurs as a result of insufficient sleep, sleep apnea, illicit substance use, and other medical and psychiatric conditions. This study tested the hypothesis that blacks exhibiting EDS would have poorer self-reported adherence to hypertensive medication using cross-sectional data from the Counseling African-Americans to Control Hypertension (CAATCH) trial. METHODS: A total of 1,058 hypertensive blacks (average age 57+/-12 years) participated in CAATCH, a randomized controlled trial evaluating the effectiveness of a multilevel intervention for participants who receive care from community health centers in New York City. Data analyzed in this study included baseline sociodemographics, medical history, EDS, and medication adherence. We used the Epworth Sleepiness Scale, with a cutoff score of >/=10, to define EDS. Medication adherence was measured using an abbreviated Morisky Medication Adherence scale, with a score >0 indicating nonadherence. RESULTS: Of the sample, 71% were female, 72% received at least a high school education, 51% reported a history of smoking, and 33% had a history of alcohol consumption. Overall, 27% of the participants exhibited EDS, and 44% of those who exhibited EDS were classified as adherent to prescribed antihypertensive medications. Multivariable logistic regression analysis, adjusting for effects of age, body mass index, sex, education, and smoking and drinking history indicated that participants who exhibited EDS were more than twice as likely to be nonadherent (odds ratio 2.28, 95% confidence interval 1.42-3.67, P<0.001). CONCLUSION: Analysis of the CAATCH data showed a high prevalence of EDS among hypertensive blacks. EDS is a significant predictor of nonadherence to prescribed medications for hypertension. These findings point to a modifiable variable that can be targeted in future interventions focusing on medication adherence.

Introduction: Emerging empirical evidence suggests exposure to natural amenities (e.g., green-space, oceanfront) may improve health behaviors and mental health outcomes such as increased levels of physical activity and lower levels of depression associated with sleep quality. Little is known about the relationship between self-reported suficient sleep and natural amenities. Methods: A subsample (n = 253,550) of the US 2010 Behavioral Risk Factor Surveillance System, a randomized survey of risk factors among US adults > 18 years of age, was used to examine the association between self-reported sleep suficiency (the number of days individuals indicated as having suficient sleep in the past month) and access to natural amenities. Participants with geographically referenced data were assigned an amenity score based on an index developed by the United States Department of Agriculture to relect the natural landscape of counties including varied topography such as lakes, ponds, oceanfront, and climate to encompass all four seasons in the US (i.e., winter, spring, summer, fall). Multiple linear regression was performed in STATA 12 to explore the relationship between subjective sleep suficiency and natural amenities. Results: Higher number of days with suficient sleep were positively associated with higher scores for natural amenities (beta = 0.112, P = 0.05), controlling for age, gender, race, marital status, education, employment status, income level, physical activity, body mass index and asthma. Days with suficient sleep were negatively associated with Hispanic ethnicity (beta = -1.418), increased age (beta = -0.081), higher levels of education (beta = -0.411) and a propensity to snore (beta = -0.388) (all P < 0.00). Conclusion: In a nationally representative sample of US adults, access to natural amenities was shown to attenuate the risk for insuficient sleep. Additional studies may be needed to determine whether this relationship holds at smaller levels of geography and to disentangle whether spec!

Introduction: There is evidence indicating that Latinos in the U.S. experience short sleep duration. Socioeconomic and cultural factors may provide an explanation for why Latinos experience insuficient sleep. Insuficient sleep has negative physiologic and metal consequences. Because of the multiple life demands, such as childcare and work, and environmental factors, such as noise and light pollution, low-income Latino women experience insuficient sleep. However, few studies have examined the perceptions of sleep in this population. The purpose of this study was to describe the perceptions of sleep and its beneits, and the consequences of insuficient sleep among low-income Latino women of child-bearing age living in the U.S. Methods: Thirty-four low-income Latino women, between the ages of 21-35, responded in writing to ive semi-structured interview questions that elicited their perceptions of the importance of sleep and the impact of insuficient sleep on their health and daily lives. Responses to the ive interview questions were coded and collated into themes. The themes that emerged from the data analysis were used during four dissemination focus groups to validate results with the study participants. Results: The themes that emerged were "Sleep is the food for the body" where women explained how sleep was crucial to maintain and protect health. The second theme that emerged was "No sleep means I can't function." In this theme participants described how insuficient sleep affects their day-to-day activities and family duties. Conclusion: Understanding how this group of Latino women perceives sleep and the impact of sleep deprivation in their lives will facilitate the creation of culturally sensitive programs that promote sleep in this undeserved population

Introduction: Inadequate sleep duration is an important public health burden in the United States. However, there is a paucity of information on the relationships between psychological health and inadequate sleep. Our study examined the relationships between emotional distress and inadequate sleep. Methods: Data from the 2009 National Health Interview Survey (NHIS), N = 27,731 participants 18 years and older, were analyzed to investigate the associations of emotional distress with inadequate sleep duration, adjusting for socio-demographic factors, health risks, and chronic diseases. We deine inadequate sleep as less than 7 or greater than 8 hours sleep durations; compared to healthy sleep (7-8 hours). We measured emotional distress, based on Kessler's 6 scale, which assesses the frequency of feeling sad, nervous, restless, hopeless, worthless, and burdened over a 30-day period. Responses were used to generate a score ranging from 0 to 24. Scores of > 13 are considered likely to indicate serious mental illness. Results: Of the sample, 52% were female, 80% were white, 12% black, and 8% other; 30% hold a HS diploma and 31% reported a family income below 31K. Analysis also showed that 10.9% reported emotional distress and 37.2% reported inadequate sleep. Results of our logistic regression analysis revealed that individuals with emotional distress had 57% greater odd of reporting inadequate sleep (OR = 1.5795% C.I. 1.54, 1.61, p < 0.001); the model adjusted for age, sex, race/ethnicity, marital status, education, combined family income, body mass index, history of alcohol consumption, smoking status, and chronic diseases including, arthritis, hypertension, diabetes, cancer, coronary heart disease and heart conditions. Conclusion: Our indings showed that emotional distress, an important proxy for psychological health, was the strongest predictor of inadequate sleep. Other factors associated with inadequate sleep include demographic (age, education, sex, race/ethnicity, combined family income), health!

Introduction: Studies have shown that decreased sleep duration and later sleep timing (midpoint of sleep) are associated with an increased body mass index (BMI). However, previous research has not determined which of these two sleep parameters is a better predictor of BMI. This study sought to determine whether sleep timing is a better predictor of the likelihood of being overweight/obese than insuficient sleep. Methods: Volunteers consisted of 459 postmenopausal women (mean age = 67.71 + 7.87 years) participating in the Women's Health Initiative study. Of the sample, 72% were non-Hispanic white; 14% Hispanic; 9% black; and 5% other. Volunteers wore an actigraph (Actillume) (ACT) and kept a seven-day sleep diary (SD) to estimate habitual sleep durations. ACT data were scored using a validated algorithm (Cole-Kripke) provided by the Actillume manufacturer. Subjective and actigraphic data were averaged over a period of 7 days to obtain an index of both objective and subjective sleep duration. Sleep timing was derived by calculating the midpoint of reported bedtimes and rise times. Results: Analysis revealed that 20.6% of the volunteers experienced short sleep (< 6 hours) based on subjective data; 47.7% experienced short sleep based on actigraphic estimates. The average sleep timing occured at 03:08. Of the sample, 62% were categorized as overweight or obese. Multivariate-adjusted linear regression showed that only ACTderived sleep duration was signiicantly associated with being overweight/ obese (OR = 2.46 (95% CI: 1.39-4.35, p < .001). There were no statistically signiicant associations between subjective sleep duration or sleep timing with overweight/obesity. The model adjusted for age, race, physical activity and sleep medications. Conclusion: Results suggest that insuficient sleep as measured by actigraphy is the single most important predictor of the likelihood of being overweight/obese among older women. Unlike previous research, sleep timing was not signiicantly associated with being overw!

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 !