Faculty Bibliography

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.

BACKGROUND: Patients with chronic kidney disease (CKD) have a high prevalence of sleep disorders. The association between sleep duration and self-reported CKD was examined in a population of Americans who participated in a national survey over a 3-year period. STUDY DESIGN: A cross-sectional study using survey data from the National Health Interview Survey (NHIS) from the year 2004-2006 was carried out. A retrospective examination of data from a community-based survey of 128,486 noninstitutionalized US civilian residents over the age of 18 years was conducted. Self-reported CKD was defined as having 'weak or failing kidneys'. The sleep duration was defined by a self-reported estimate of habitual sleep duration. RESULTS: The prevalence of participants self-reporting kidney disease was higher in those with short (/=8 h per night) sleep durations when compared to those sleeping 7 h per night. Self-reported information about sleep, demographic information, and information on comorbidities were assessed using standardized validated questionnaires which reported no kidney disease. A multivariate logistic regression analysis showed increased odds of self-reported kidney disease in study participants with both short and long sleep durations compared to healthy sleepers (sleeping >7-8 h per night). Observational data do not permit examination of causality, although possible confounders in observations of interest can be adjusted. CONCLUSION: Among Americans surveyed in the NHIS (2004-2006), those with short or long sleep duration had higher odds of reporting that they had CKD.

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.

OBJECTIVE: Improving and validating sleep scoring algorithms for actigraphs enhances their usefulness in clinical and research applications. The MTI(R) device (ActiGraph, Pensacola, FL) had not been previously validated for sleep. The aims were to (1) compare the accuracy of sleep metrics obtained via wrist- and hip-mounted MTI(R) actigraphs with polysomnographic (PSG) recordings in a sample that included both normal sleepers and individuals with presumed sleep disorders; and (2) develop a novel sleep scoring algorithm using spline regression to improve the correspondence between the actigraphs and PSG. METHODS: Original actigraphy data were amplified and their pattern was estimated using a penalized spline. The magnitude of amplification and the spline were estimated by minimizing the difference in sleep efficiency between wrist- (hip-) actigraphs and PSG recordings. Sleep measures using both the original and spline-modified actigraphy data were compared to PSG using the following: mean sleep summary measures; Spearman rank-order correlations of summary measures; percent of minute-by-minute agreement; sensitivity and specificity; and Bland-Altman plots. RESULTS: The original wrist actigraphy data showed modest correspondence with PSG, and much less correspondence was found between hip actigraphy and PSG. The spline-modified wrist actigraphy produced better approximations of interclass correlations, sensitivity, and mean sleep summary measures relative to PSG than the original wrist actigraphy data. The spline-modified hip actigraphy provided improved correspondence, but sleep measures were still not representative of PSG. DISCUSSION: The results indicate that with some refinement, the spline regression method has the potential to improve sleep estimates obtained using wrist actigraphy.

The popularity of energy drinks has increased rapidly in the past decade. One of the main reasons people use energy drinks is to counteract effects of insufficient sleep or sleepiness. Risks associated with energy drink use, including those related to sleep loss, may be disproportionately borne by racial minorities and those of lower socioeconomic status. In this review, a brief introduction to the issue of health disparities is provided, population-level disparities and inequalities in sleep are described, and the social-ecological model of sleep and health is presented. Social and demographic patterns of energy drink use are then presented, followed by discussion of the potential ways in which energy drink use may contribute to health disparities, including the following: 1) effects of excessive caffeine in energy drinks, 2) effects of energy drinks as sugar-sweetened beverages, 3) association between energy drinks and risk-taking behaviors when mixed with alcohol, 4) association between energy drink use and short sleep duration, and 5) role of energy drinks in cardiometabolic disease. The review concludes with a research agenda of critical unanswered questions.

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.

BACKGROUND: We investigated ethnic differences in sleep duration, and the contribution of socio-economic status (SES) to the observed differences in Amsterdam, the Netherlands. METHODS: 6959 participants (aged 18-71 years) from the multi-ethnic HELIUS cohort were studied. Outcome variables were short sleep (<7 h/night) and long sleep (>/=9 h/night). Comparisons among groups were made using Prevalence Ratios (PRs). RESULTS: Ethnic minority groups were more likely than ethnic-Dutch to report short sleep, with prevalence ranging from 15.1% to 49.7% in men and 16.3% to 41.4% in women. Among men, the age-adjusted PRs ranged from 2.15 (95% CI 1.72-2.69) in Turkish to 3.31 (2.75-3.99) in Ghanaians; and among women, from 1.62 (1.30-2.01) in Turkish to 2.52 (2.15-2.95) in African-Surinamese, respectively. The prevalence of long sleep was significantly higher only in Moroccan men and all the ethnic minority women than in ethnic-Dutch women except for African-Surinamese. Adjustment for SES explains the ethnic difference in long sleep, but not for short sleep. CONCLUSION: Ethnic minority groups reported more short sleep than ethnic-Dutch, while there were no ethnic differences in long sleep. Further study is needed to investigate how this finding on short sleep may contribute to ethnic differences in health outcomes.

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!