Search

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., 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., Competing Interests: The authors report no conflict of interest and have signed the ICMJE Uniform Disclosure Form. The ICMJE Uniform Disclosure Form for Potential Conflicts of Interest associated with this article can be viewed by clicking on the following link: http://dx.doi.org/10.1016/j.sleep.2015.02.533., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Aim: The aim of this study was to evaluate the National Institute of Health (NIH)-funded PRIDE Institute in Behavioral Medicine and Sleep Disorders Research at New York University (NYU) Langone Medical Center. The NYU PRIDE Institute provides intensive didactic and mentored research training to junior underrepresented minority (URM) faculty., Method: The Kirkpatrick model, a mixed-methods program evaluation tool, was used to gather data on participant's satisfaction and program outcomes. Quantitative evaluation data were obtained from all 29 mentees using the PRIDE REDcap-based evaluation tool. In addition, in-depth interviews and focus groups were conducted with 17 mentees to learn about their experiences at the institute and their professional development activities. Quantitative data were examined, and emerging themes from in-depth interviews and focus groups were studied for patterns of connection and grouped into broader categories based on grounded theory., Results: Overall, mentees rated all programmatic and mentoring aspects of the NYU PRIDE Institute very highly (80-100%). They identified the following areas as critical to their development: research and professional skills, mentorship, structured support and accountability, peer support, and continuous career development beyond the summer institute. Indicators of academic self-efficacy showed substantial improvement over time. Areas for improvement included tailoring programmatic activities to individual needs, greater assistance with publications, and identifying local mentors when K awards are sought., Conclusions: In order to promote career development, numerous factors that uniquely influence URM investigators' ability to succeed should be addressed. The NYU PRIDE Institute, which provides exposure to a well-resourced academic environment, leadership, didactic skills building, and intensive individualized mentorship proved successful in enabling URM mentees to excel in the academic environment. Overall, the institute accomplished its goals: to build an infrastructure enabling junior URM faculty to network with one another as well as with senior investigators, serving as a role model, in a supportive academic environment., (Published by Elsevier B.V.)

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., (Copyright © 2015 Elsevier B.V. All rights reserved.)

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., (Copyright © 2014 Elsevier B.V. All rights reserved.)

Objective: To assess whether functional capacity is a better predictor of coronary heart disease (CHD) than depression or abnormal sleep duration., Methods: Adult civilians in the USA (n=29,818, mean age 48 ± 18 years, range 18-85 years) were recruited by a cross-sectional household interview survey using multistage area probability sampling. Data on chronic conditions, estimated habitual sleep duration, functional capacity, depressed moods, and sociodemographic characteristics were obtained., Results: Thirty-five percent of participants reported reduced functional capacity. The CHD rates among White and Black Americans were 5.2% and 4%, respectively. Individuals with CHD were more likely to report extreme sleep durations (short sleep [≤ 5h] or long sleep [≥ 9 h]; odds ratio [OR] 1.65, 95% confidence interval [CI] 1.38-1.97; P<0.0001), less likely to be functionally active (anchored by the ability to walk one-quarter of a mile without assistance [OR 6.27, 95% CI 5.64-6.98; P<0.0001]) and more likely to be depressed (OR 1.78, 95% CI 1.60-1.99; P<0.0001) than their counterparts. On multivariate regression analysis adjusting for sociodemographic factors and health characteristics, only functional capacity remained an independent predictor of CHD (OR 1.81, 95% CI 1.42-2.31; P<0.0001)., Conclusion: Functional capacity was an independent predictor of CHD in the study population, whereas depression and sleep duration were not independent predictors., (Published by Elsevier B.V.)