Faculty Bibliography

Introduction: Studies have shown a significant association between long sleep (defined as > 8 hours) and various chronic conditions such as cardiovascular disease, obesity, cancer, and stroke. Moreover, research suggests that long sleep may be more detrimental to one's health than is short sleep. The purpose of this study was to determine the mediating role of body mass index (BMI), physical activity, and emotional distress on the relationship between long sleep and chronic conditions. Methods: The study utilized data from the National Health Interview Survey, an ongoing, nationally representative, cross-sectional study of noninstitutionalized U.S. adults (> 18 years) between 2003 and 2014 (n = 911,773). Structural equation modeling was employed to assess mediation of observed and latent factors using Path Coefficient Estimate (PCE). Physical activity was defined as 10+ minutes of either moderate or vigorous activity. We measured emotional distress with Kessler's 6 scale. Chronic diseases included hypertension, coronary heart disease, diabetes, stroke, kidney disease, cancer and history of heart attack. Results: Of the sample, 51.6% were female; 76.2%, White; and 15.6%, Black/African-American with a mean age of 35.79 +/- 22.4 yrs. Physical activity significantly mediated relationships between long sleep and presence of all chronic diseases (p < 0.001), while emotional distress only mediated relationships between long sleep and kidney disease, diabetes, stroke, and heart attack. Physical activity showed a negative relationship with long sleep (PCE = -0.012, p < 0.001), while emotional distress was positively associated with long sleep (PCE = 0.134, p < 0.01). Of interest, BMI did not significantly mediate relationships between long sleep and chronic conditions (PCE = -0.008, p = 0.322). Covariates included age, sex, income, race, and marital status. Conclusion: Our analysis revealed that the dynamic relationships between long sleep and chronic conditions were mediated by physical activity and emotional distress. Future research should explore the relationships between long sleep and BMI, which in our analyses did not prove significant

Introduction: This study ascertained whether inadequate sleep places unequal burden on blacks, relative to their white counterparts. Methods: Analysis was based on data obtained from adult Americans (age range: 18-85 years) who participated in the National Health Interview Survey, an important surveillance study of the health of the US population providing sociodemographic, health risk, and medical data from 1977-2009. Sleep duration was coded as either very short sleep [VSS] (< 5 hours), short sleep [SS] (5-6 hours), or long sleep [LS] (> 8 hours), referenced to 7-8 hour sleepers. Overweight was defined as BMI > 25.0 and < 29.9 kg/m² and obesity, BMI > 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. SS was associated with a 13%) increased likelihood of being overweight and 45% increased likelihood of being obese. LS was not a significant predictor of overweight, but it was associated with 21%o increased likelihood of being obese. Among blacks, VSS was associated with a 76% increased likelihood of being overweight and 81%o increased likelihood of being obese. SS was associated with a 16%o increased likelihood of being overweight and 32%o increased likelihood of being obese. As for whites, LS was not a significant predictor of overweight, but it was associated with a 25%o increased likelihood of being obese. Conclusion: Our investigation demonstrates strong linkages between inadequate sleep and overweight/obesity among both black and white Americans. While it cannot be said that insufficient sleep causes overweight or obesity, it is apparent that blacks sleeping 5 hours or less may be unequally burdened by sleep-related overweight/obesity

Insufficient sleep is associated with cardiometabolic disease and poor health. However, few studies have assessed its determinants in a nationally representative sample. Data from the 2009 behavioral risk factor surveillance system were used (N = 323,047 adults). Insufficient sleep was assessed as insufficient rest/sleep over 30 days. This was evaluated relative to sociodemographics (age, sex, race/ethnicity, marital status, region), socioeconomics (education, income, employment, insurance), health behaviors (diet, exercise, smoking, alcohol), and health/functioning (emotional support, BMI, mental/physical health). Overall, insufficient sleep was associated with being female, White or Black/African-American, unemployed, without health insurance, and not married; decreased age, income, education, physical activity; worse diet and overall health; and increased household size, alcohol, and smoking. These factors should be considered as risk factors for insufficient sleep.

OBJECTIVE: The objective of the study was to examine the independent association of emotional distress with unhealthy sleep duration (defined as <7 or >8 hours). METHODS: Data from the 2009 National Health Interview Survey (NHIS), a cross-sectional household survey, were analyzed to investigate the associations of emotional distress with unhealthy sleep durations, adjusting for sociodemographic factors, health risks, and chronic diseases through hierarchical multiple logistic regression analysis. PARTICIPANTS: A total of 27,731 participants (age range 18-85 years) from the NHIS 2009 dataset were interviewed. MEASURES: Unhealthy sleep duration is defined as sleep duration <7 or >8 hours, whereas healthy sleep is defined as sleep duration lasting for 7-8 hours. Emotional distress is based on the Kessler 6 Non-Specific Distress Battery, which assesses the frequency of feeling sad, nervous, restless, hopeless, worthless, and burdened, over a 30-day period. RESULTS: Of the sample, 51.7% were female; 83.1% were white and 16.9% were black. Eleven percent experienced emotional distress and 37.6% reported unhealthy sleep. Adjusted logistic regression analysis revealed that individuals with emotional distress had 55% greater odds of reporting unhealthy sleep (odds ratio [OR] =1.55, 95% confidence interval [CI] =1.42, 1.68, P<0.001). CONCLUSION: Emotional distress, an important proxy for poor psychological health, was a significant predictor of unhealthy sleep, independent of the influences of several factors including demographic (age, education, sex, race/ethnicity, and family income), health risks (alcohol consumption and smoking status), and chronic diseases/conditions (diabetes, obesity, hypertension, heart disease, cancer, and arthritis).

INTRODUCTION: This study assessed associations of depression and anxiety with risk of obstructive sleep apnea (OSA) among non-Hispanic blacks in the Metabolic Syndrome Outcome (MetSO) study. METHOD: A total of 1,035 patients participated. ARESTM score >/=6 defined high OSA risk. Moderate depression was defined by a CES-D score >/=16. Moderate anxiety was measured by a BAI score >/=16. RESULTS: The mean age was 62 +/- 14 years; 70% were female. A total of 93% were diagnosed with hypertension; 61%, diabetes; and 72%, dyslipidemia; 90% were overweight/obese; 33% had a history of heart disease; and 10% had a stroke. Logistic regression analysis, adjusting for age and gender, showed that patients with depression had nearly two-fold increased odds of being at risk for OSA (OR 1.75, 95% CI 1.02-2.98, p < 0.05). Patients with anxiety had three-fold increased odds of being at risk for OSA (OR 3.30, 95% CI 2.11-5.15, p < 0.01). After adjusting for marital status and income, patients with anxiety had a 6% increase in OSA risk (OR 1.06, 95% CI 1.04-1.09, p < 0.05), but depression was no longer significant. CONCLUSION: Our results suggest that non-Hispanic blacks with metabolic syndrome who experience anxiety and/or depression should be screened for OSA. Key messages This study assessed associations of moderate to severe depression and anxiety with risk of obstructive sleep apnea (OSA) among non-Hispanic blacks with metabolic syndrome. Patients with depression had nearly two-fold increased odds of being at risk for OSA. Patients with anxiety had three-fold increased odds of being at risk for OSA.

BACKGROUND: Visual impairment (VI) is associated with increased mortality and health factors such as depression and cardiovascular disease. Epidemiologic studies consistently show associations between sleep duration with adverse health outcomes, but these have not systematically considered the influence of VI. The aim of this study was to ascertain the independent association between VI and sleep duration using the National Health Interview Survey (NHIS) data. We also examined whether race/ethnicity influenced these associations independently of sociodemographic and medical characteristics. METHODS: Our analysis was based on the 2009 NHIS, providing valid sleep and vision data for 29,815 participants. The NHIS is a cross-sectional household interview survey utilizing a multistage area probability design. Trained personnel from the US census bureau gathered data during face-to-face interview and obtained socio-demographic, self-reported habitual sleep duration and physician-diagnosed chronic conditions. RESULTS: The mean age of the sample was 48 years and 56% were female. Short sleep and long sleep durations were reported by 49% and 23% of the participants, respectively. Visual impairment was observed in 10%. Multivariate-adjusted logistic regression models showed significant associations between VI and short sleep (OR = 1.6, 95% CI = 1.5-1.9 and long sleep durations (OR = 1.6, 95% CI = 1.3-1.9). These associations persisted in multivariate models stratified by race-ethnic groups. CONCLUSION: Visual impairment was associated with both short and long sleep durations. Analysis of epidemiologic sleep data should consider visual impairment as an important factor likely to influence the amount of sleep experienced habitually.

A growing body of research demonstrates that psychosocial factors play an important role in the development of hypertension. Previous reviews have identified several key factors (i.e., occupational stress) that contribute to the onset of hypertension; however, they are now outdated. In this review, we provide an updated synthesis of the literature from 2010 to April 2014. We identified 21 articles for inclusion in the review, of which there were six categories of psychosocial stressors: occupational stress, personality, mental health, housing instability, social support/isolation, and sleep quality. Sixteen of the studies reported an association between the psychosocial stressor and blood pressure. While several findings were consistent with previous literature, new findings regarding mediating and moderating factors underlying the psychosocial-hypertension association help to untangle inconsistencies reported in the literature. Moreover, sleep quality is a novel additional factor that should undergo further exploration. Areas for future research based on these findings are discussed.

BACKGROUND: Lack of adherence to recommended treatment for obstructive sleep apnea remains an ongoing public health challenge. Despite evidence that continuous positive airway pressure (CPAP) is effective and improves overall quality of life, compliance with the use of CPAP in certain racial/ethnic groups, especially blacks, is suboptimal. Evidence indicates that the incidence and prevalence of obstructive sleep apnea are higher among blacks, relative to whites, and blacks are less likely to adhere to recommended treatment compared with other racial/ethnic groups. METHODS: Using a two-arm randomized controlled design, this study will evaluate the effectiveness of a culturally and linguistically tailored telephone-delivered intervention to promote adherence to physician-recommended sleep apnea assessment and treatment among blacks with metabolic syndrome, versus an attention-control arm. The intervention is designed to foster adherence to recommended sleep apnea care using the stages-of-change model. The intervention will be delivered entirely over the telephone. Participants in the intervention arm will receive 10 phone calls to address challenges and barriers to recommended care. Outcomes will be assessed at baseline, and at 6- and 12-months post-randomization. DISCUSSION: This tailored behavioral intervention will improve adherence to sleep apnea assessment and treatment among blacks with metabolic syndrome. We expect to demonstrate that this intervention modality is feasible in terms of time and cost and can be replicated in populations with similar racial/ethnic backgrounds.Trial registration: The study is registered at clinicaltrials.gov NCT01946659 (February 2013).

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.

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.