Faculty Bibliography

Purpose of review/UNASSIGNED:To systematically review the available research studies that characterize the benefits, uncertainty, or weaknesses of commercially-available sleep tracking technology. Recent findings/UNASSIGNED:Sleep is a vital component of health and well-being. Research shows that tracking sleep using commercially available sleep tracking technology (e.g., wearable or smartphone-based) is increasingly popular in the general population. Methods/UNASSIGNED:Systematic literature searches were conducted using PubMed/Medline, Embase (Ovid) the Cochrane Library, PsycINFO (Ovid), CINAHL, and Web of Science Plus (which included results from Biosis Citation Index, INSPEC, and Food, Science & Technology Abstracts) (n=842). Study Inclusion and Exclusion Criteria/UNASSIGNED:Three independent reviewers reviewed eligible articles that administered a commercially-available sleep tracker to participants and reported on sleep parameters as captured by the tracker, including either sleep duration or quality. Eligible articles had to include sleep data from users for >=4 nights.

OBJECTIVE:The objective of this study was to examine the association between perceived stress and sleep health among a sample of sexual minority men (SMM). DESIGN/METHODS:Cross-sectional survey. SETTING/METHODS:Paris, France. PARTICIPANTS/METHODS:Gay, bisexual and other SMM users ≥18 years on a geosocial networking application in Paris, France (N = 580). MEASUREMENTS/METHODS:Participants were directed to a web-based survey measuring stress, sleep health, and socio-demographics. Multivariate log-binomial regression models were used to estimate the adjusted risk ratios (aRRs) and 95% confidence intervals (CIs) to examine how stress may affect different dimensions of sleep health: 1) poor sleep quality, 2) short sleep duration, 3) problems falling asleep, and 4) problems staying awake in the daytime. RESULTS:Most participants (69.9%) reported at least sometimes feeling stressed (compared to never or rarely). Additionally, results demonstrate that higher perceived stress was associated with poorer sleep health; compared with those who reported feeling stress never or rarely, those who felt stress sometimes, often, or always were more likely to experience poor sleep quality (aRR = 6.67; 95% CI = 3.61-12.3), short sleep duration (aRR = 1.67; 95% CI = 1.17-2.38), problems falling asleep (aRR = 3.20; 95% CI = 2.26-4.52), and problems staying awake during the daytime (aRR = 3.52; 95% CI = 1.64-7.53). CONCLUSION/CONCLUSIONS:Elevated perceived stress can negatively influence sleep health among SMM in Paris, France.

BACKGROUND:Compared to whites, blacks are at increased risk for obstructive sleep apnea (OSA) yet less likely to adhere to physician-recommended sleep assessment and treatment. Poor OSA health literacy and lack of social support to navigate the current healthcare system are two potential barriers to adequate OSA care. This study is designed to address these barriers by evaluating the effectiveness of a peer-based sleep health education program on adherence to OSA assessment and treatment among blacks at risk for OSA. METHOD/DESIGN/METHODS:In a two-arm, randomized controlled trial, we will ascertain the effectiveness of peer-based sleep health education and social support in increasing OSA evaluation and treatment rates among 398 blacks at low to high OSA risk. Participants at risk of OSA will receive quality controlled, culturally, and linguistically tailored peer education based on Motivational Enhancement principles over a period of 12 months. During this 12-month period, participants are encouraged to participate in a sleep home study to determine risk of OSA and, if found to be at risk, they are invited to undergo a diagnostic sleep assessment at a clinic. Participants who are diagnosed with OSA and who are prescribed continuous positive airway pressure treatment will be encouraged, through peer-based education, to adhere to recommended treatment. Recruitment for the project is ongoing. DISCUSSION/CONCLUSIONS:The use of a culturally tailored sleep health education program, peer health educators trained in sleep health, and home-based sleep assessment are novel approaches in improving OSA assessment and treatment adherence in blacks who are significantly at risk for OSA. Empirical evidence from this trial will provide clinical and population level solutions on how to improve and increase assessment and treatment of OSA among blacks. TRIAL REGISTRATION/BACKGROUND:NCT02427815 . Registered on 20 April 2015. ClinicalTrials.gov title: Sleep Health Education and Social Support Among Blacks With OSA.

The current study investigated the mediating effects of body mass index (BMI), physical activity, and emotional distress on the association between short sleep duration (<7 hours per 24-hour period) and cardiovascular disease (CVD) and risk factors.We used data from the National Health Interview Survey, an ongoing nationally representative cross-sectional study of noninstitutionalized US adults (≥18 years) from 2004 to 2013 (N = 206,049). Participants provided information about anthropometric features (height and weight), sociodemographic factors, health behaviors (smoking and physical activity), emotional distress, and physician-diagnosed health conditions, including hypertension, coronary heart disease, diabetes, heart attack, stroke, kidney disease, and cancer. Structural equation modeling was used to assess the mediating effects of physical activity, BMI, and emotional distress on the relationship between short sleep and CVDs and risk factors (coronary heart disease, hypertension, diabetes, chronic kidney disease, heart attack, and stroke).Of the sample, 54.7% were female, 60.1% identified as white, 17.7% as Hispanic, and 15.4% as black. The mean age of the respondents was 46.75 years (SE = 0.12), with a mean BMI of 27.11 kg/m (SE = 0.02) and approximately 32.5% reported short sleep duration. The main relationship between short sleep and CVD and risk factors was significant (β = 0.08, P < .001), as was the mediated effect via BMI (indirect effect = 0.047, P < .001), emotional distress (indirect effect = 0.022, P < .001), and physical activity (indirect effect = -0.022, P = .035), as well as after adjustment for covariates, including age, race, sex, marital status, and income: short sleep and CVD (B = 0.15; SE = 0.01; P < .001), BMI (B = 0.05; SE = 0.00; P < .001), emotional distress (B = 0.02; SE = 0.00; P < .001), and physical activity (B = 0.01; SE = 0.00; P < .001).Our findings indicate that short sleep is a risk factor for CVD and that the relationship between short sleep and CVD and risk factors may be mediated by emotional distress and obesity, and negatively mediated by physical activity.