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Competing Interests: GJ-L declares consulting fees from Idorsia; receives funding from the US National Institutes of Health (NIH); and is on the Sleep Research Society Board of Governors and the National Center for Complementary and Integrative Health Advisory Council. MAG declares grants to his institution from the US NIH, US Department of Defense, Kemin Foods, CeraZ, and Jazz Pharmaceuticals; book royalties from Elsevier; consulting fees from Fitbit, Natrol, Idorsia, Smartypants Vitamins, Simple Habit, Casper Sleep, Athleta, the National Sleep Foundation, and the American Sleep Foundation; honorarium from New York Univeristy, University of Miami, WedMD, University of Maryland, Stavis & Cohen, and the Clinical Education Alliance; payment for expert testimony provided for criminal cases; and travel support from Jazz Pharmaceuticals. MAG also has a patent for a system and methods for sleep optimisation, and is the President of the Society of Behavioral Sleep Medicine. AAS declares support from the NIH, and consulting fees for advisory board work from Philips, Idorsia, and Moshi Kids.

Our study examines the acceptability and feasibility of Moshi, an audio-based mobile application, among children 3-8 years old using a parent-child dyadic approach. Our 10-day within-subject pre-post study design consisted of five nights of a normal bedtime routine and a subsequent five nights exposed to one story on the Moshi application during the intervention. Each five-night period spanned three weeknights and two weekend nights. The Short-Form Children's Sleep Habits Questionnaire (SF-CSHQ) was used to measure children's sleep at baseline and post-intervention. The PROMIS, Epworth Sleepiness Scale and Pittsburgh Sleep Quality Index were used to assess parents' sleep. Among the 25 child-parent dyads, the mean child age was 4 (SD = 1.23) and 63% were male ( n = 15). Mean parent age was 35 (SD = 5.83), 84% were female ( n = 21), and 48.0% were Black ( n = 12). For child-only comparisons, mean post-SF-CSHQ measures were lower compared to baseline. A trend in parent sleep is reported. This study shows the potential of an audio-based mobile sleep aid to improve sleep health in a racially diverse parent and child dyad sample.

Introduction : Previous studies have linked sleep to risk of diabetes and obesity, at least partially via alterations in food intake. Diabetes and obesity are common among Hispanics/Latinos, and studies are needed to better clarify the role of sleep in health among this group. Utilizing the revised TFEQ-R-18, this study will examine whether eating behaviors such as cognitive restraint, emotional eating and uncontrolled eating are related to self-reported sleep experiences. Specifically, we hypothesized that poor eating habits would be associated with (1) more insomnia symptoms, (2) overall worse sleep quality, (3) increased daytime sleepiness, and (4) shorter sleep duration. Methods: Data were collected from N = 100 adults (age 18-60, 47% female) of Mexican descent in the city of Nogales, AZ (34% not born in the US). Surveys were presented in English or Spanish. Eating Patterns were assessed with the Three-Factor Eating Questionnaire (TFEQ), which resulted in a total score and subscales for "cognitive restraint," "uncontrolled eating," and "emotional eating." Insomnia was assessed with the use of the Insomnia Severity Index (ISI), Sleepiness with the use of the Epworth Sleepiness Scale (ESS), Sleep quality with the use of the Pittsburgh Sleep Quality Index (PSQI), and weekday and weekend sleep duration with the use of the Sleep Timing Questionnaire (STQ). Covariates included age, sex, Body Mass Index (BMI), education and immigrant status. Results: Overall TFEQ score (problematic eating) was positively associated with greater insomnia, poorer sleep quality, more sleepiness, and less weekend (but not weekday) sleep. Mean TFEQ score in the sample was 18.7 (range 0-51). In adjusted analyses, every point on the TFEQ was associated with 0.6 ISI points, 0.8 PSQI points, 0.5 ESS points, and 1.1 minutes of less weekend sleep duration. Regarding subscale scores, relationships were generally seenbetween sleep and emotional eating and unrestricted eating, and not cognitive restraint. Conclusions: Greater insomnia, poorer sleep quality, increased daytime sleepiness and decreased weekend sleep duration were associated with eating patterns at the US-Mexico border, particularly in the area of unrestricted eating and emotional eating. This suggests possible mechanisms linking sleep and obesity in Hispanic/Latinos.

Objectives: We contrasted the relative risks (RR) of short [<7 h] and long [>8 h] sleep experienced by middle-aged (45-64 years) and older (≥65 years) adults, compared with young adults (20-44 years)., Methods: We utilized NHANES data (2005-2016), capturing sociodemographic, socioeconomic, and health-related data among US adults., Results: The Relative Risk (RR) of short sleep between young and middle-aged adults did not differ [RR = 1.02, NS]. However, the RR of short sleep was significantly reduced among older participants [RR = 0.81, p < 0.01]. Middle-aged adults had significantly lower RR of long sleep [RR = 0.80, p < 0.01], whereas older adults had significantly greater RR of long sleep [RR = 1.41, p < 0.01]. Compared with young adults, older adults with or without increased disease burden had significantly lower RR of short sleep [RR = 0.81, p < 0.01 and RR = 0.80, p < 0.01], respectively. However, for middle-aged adults, the RR of short sleep did not differ whether they reported a greater disease burden. Relative to young adults, older adults with or without disease burden had higher RRs of long sleep [RR = 1.39, p < 0.01] and [RR = 1.45, p < 0.01], respectively. For middle-aged adults without disease burden, the RR of long sleep was lower than among young adults [RR = 0.72, p < 0.01]., Conclusions: Compared with young adults, older adults were not at increased risk for short sleep. Rather, they reported longer sleep time regardless of the presence of disease burden. Future studies should investigate longitudinal effects of aging on objective sleep time, with or without common diseases., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Background and Objectives: The effect of the ambient environment, sound, light, and movement, on the nighttime rest-activity of patients hospitalized with moderate-severe traumatic brain injury (TBI) is poorly understood. The purpose of this study was to examine how sound, light, and movement in these patients' hospital rooms may contribute to nighttime awakenings., Methods: An observational design was used with 18 adult participants on a neuroscience step-down unit diagnosed with moderate-severe TBI. For up to five consecutive nights, actigraphy was used to capture nighttime awakenings while a custom-made multisensory device captured sound, light, and movement exposures in the participant's room., Results: Participants were awake for 24% (or about 3 hr) of the time during the designated nighttime period of 8 pm to 8 am. Average nighttime exposures of sound was 52 dB, light was nine lumens, and movement, measured as a proportion, was 0.28% or 28%. With each stimuli exposure set at its average, there was a 20% probability of participant nighttime awakenings. Clinically meaningful reductions of movement in and out the participant's room and elevated sound significantly decreases the participant's probability of nighttime awakenings ( p < .05), but reductions in light did not., Conclusion: The ambient environment seems to impede restful sleep in immediate post-injury phase of patients with moderate-severe TBI.

Sleep disparities exist among Hispanics/Latinos, although little work has characterized individuals at the United States (US)-Mexico border, particularly as it relates to acculturation. This study examined the association of Anglo and Mexican acculturation to various facets of sleep health among those of Mexican descent at the US-Mexico border. Data were collected from N = 100 adults of Mexican descent in the city of Nogales, Arizona (AZ). Surveys were presented in English or Spanish. Acculturation was assessed with the Acculturation Scale for Mexican-Americans (ARSMA-II). Insomnia was assessed with the Insomnia Severity Index (ISI), sleepiness was assessed with the Epworth Sleepiness Scale (ESS), sleep apnea risk was assessed with the Multivariable Apnea Prediction (MAP) index, weekday and weekend sleep duration and efficiency were assessed with the Sleep Timing Questionnaire, sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI), and sleep duration and sleep medication use were assessed with PSQI items. No associations were found between Mexican acculturation and any sleep outcomes in adjusted analyses. Anglo acculturation was associated with less weekend sleep duration and efficiency, worse insomnia severity and sleep quality, and more sleep apnea risk and sleep medication use. These results support the idea that sleep disparities may depend on the degree of acculturation, which should be considered in risk screening and interventions.

Objective: To estimate the average incremental health care expenditures associated with habitual long and short duration of sleep as compared with healthy/average sleep duration., Data Source: Medical Expenditure Panel Survey data (2012; N=6476) linked to the 2010-2011 National Health Interview Survey., Study Design: Annual differences in health care expenditures are estimated for habitual long and short duration sleepers as compared with average duration sleepers using 2-part logit generalized linear regression models., Principal Findings: Habitual short duration sleepers reported an additional $1400 in total unadjusted health care expenditures compared to people with average sleep duration (P<0.01). After adjusting for demographics, socioeconomic factors, and health behavior factors, this difference remained significant with an additional $1278 in total health care expenditures over average duration sleepers (P<0.05). Long duration sleepers reported even higher, $2994 additional health care expenditures over average duration sleepers. This difference in health care expenditures remained significantly high ($1500, P<0.01) in the adjusted model. Expenditure differences are more pronounced for inpatient hospitalization, office expenses, prescription expenses, and home health care expenditures., Conclusions: Habitual short and long sleep duration is associated with higher health care expenditures, which is consistent with the association between unhealthy sleep duration and poorer health outcomes.

Background: This study examined the relationships between resilience and sleep disturbance in a diverse sample of older women with a history of hypertension and whether this relationship is moderated by individuals' race/ethnicity., Methods: Sample includes 700 females from a community-based study in Brooklyn, New York with a mean age of 60.7 years (SD=6.52). Of the participants, 28.1% were born in the U.S.; 71% were African-descent, 17.4% were European and 11.6% were Hispanics descents. Data were gathered on demographics and sleep disturbance using the Comprehensive Assessment and Referral Evaluation (CARE) and the Stress Index Scale (SIS). Resilience Factors were assessed with both the Index of Self-Regulation of Emotion (ISE) and religious health beliefs. Chi-Square, Anova, Student t-tests, and multilinear regression analysis were conducted to explore associations between resilience factors and sleep disturbance. Associations between resilience factors and sleep disturbance were examined using stratified multilinear regression analysis in three models by race/ethnicity. Regression models was conducted examining the interaction between resilience factors and stress RESULTS: Resilience factor, ISE emerged as the strongest independent predictor of sleep disturbance [B(SE) = -0.368(0.008); p < .001] for African descents. ISE was not a significant predictor of sleep disturbance among Hispanic participants [B(SE) = -0.218(0.022);p = .052], however interaction effect analysis revealed that stress level moderates significantly the relationship between ISE, and their sleep disturbance [B(SE) = 0.243(0.001);p = .036]., Conclusions: Results of our study suggest that resilience factors might be a more important protective factor for sleep disturbance among diverse older females., Competing Interests: Declaration of Competing Interest The Authors have no conflict of interest to disclose regarding this paper., (Copyright © 2020 Elsevier B.V. All rights reserved.)

None: Sleep medicine is well positioned to benefit from advances that use big data to create artificially intelligent computer programs. One obvious initial application in the sleep disorders center is the assisted (or enhanced) scoring of sleep and associated events during polysomnography (PSG). This position statement outlines the potential opportunities and limitations of integrating artificial intelligence (AI) into the practice of sleep medicine. Additionally, although the most apparent and immediate application of AI in our field is the assisted scoring of PSG, we propose potential clinical use cases that transcend the sleep laboratory and are expected to deepen our understanding of sleep disorders, improve patient-centered sleep care, augment day-to-day clinical operations, and increase our knowledge of the role of sleep in health at a population level., (© 2020 American Academy of Sleep Medicine.)

Introduction: Sleep disturbance is a major public health issue and is comorbid with the cluster of conditions associated with metabolic syndrome (MetS). Our study explored the presence of sleep disturbance, including daytime sleepiness, the risk for obstructive sleep apnea (OSA), and insomnia symptoms, in a cohort of adult Black men and women with MetS., Methods: Patients (n=1,013) from the Metabolic Syndrome Outcome Study (MetSO), 2009-2012, met criteria for MetS based on guidelines from the National Cholesterol Education Program's Adult Treatment Panel and provided sociodemographic data and the Apnea Risk Evaluation System (ARES) questionnaire to assess OSA risk, sleep characteristics, and physician-reported diagnosis of a sleep disorder., Results: Prevalence of the components of MetS included: diabetes (60%); obesity (67%); hypertension (94%); and dyslipidemia (74%). Based on the ARES, 49% were at risk for OSA. Of all study patients, slightly more than half (53%) reported feeling sleepy during the day, and 10% reported an insomnia diagnosis. The most common sleep disturbance reported by 46% of the patients was early morning awakenings (EMA). This was closely followed by 42% who reported difficulty staying asleep (DSA) and 38% reporting difficulty falling asleep (DFA). Seventy percent reported short sleep (≤ 6 hours), whereas a minority (19%) reported long sleep (≥ 9 hours). Only 12% used sleep aids. Women, compared with men, reported greater daytime sleepiness, greater DFA, and greater DSA (57% vs 45%; 41% vs 32.4%; 45% vs 37%), respectively., Conclusion: Blacks with MetS reported insomnia symptoms and insomnia disorder, use of sleep aids, feeling sleepy during the day, and inadequate sleep durations. The presence of these sleep characteristics suggests that patients with MetS should be referred for further sleep assessment., Competing Interests: Competing Interests: None declared.

While sleep disturbance has been related to a number of negative health outcomes, few studies have examined the relationship between place of birth and sleep duration among individuals living in the US. Data for 416,152 adult participants in the 2000-2013 National Health Interview Survey (NHIS), who provided self-reported hours of sleep and place of birth were examined. Associations were explored between healthy sleep (7-8 h), referenced to unhealthy sleep (<7 or >8 h), and place of birth using multivariate logistic regression analysis. The mean age of the sample was 47.4 ± 0.03 years; 56% were female. Of the respondents, 61.5% reported experiencing healthy sleep, 81.5% reported being born in the US and 18.5% were foreign-born adults. Descriptive statistics revealed that Indian Subcontinent-born respondents (71.7%) were more likely to report healthy sleep compared to US-born respondents (OR = 1.53, 95% CI = 1.37-1.71, p < 0.001), whereas African-born respondents (43.5%) were least likely to report healthy sleep (OR = 0.78, 95% CI = 0.70-0.87, p < 0.001). These findings suggest that place of birth should be considered in the assessment of risk factors for unhealthy sleep., Competing Interests: The authors declare no conflicts of interest.

Sleep is important for regulating many physiologic functions that relate to metabolism. Because of this, there is substantial evidence to suggest that sleep habits and sleep disorders are related to diabetes risk. In specific, insufficient sleep duration and/or sleep restriction in the laboratory, poor sleep quality, and sleep disorders such as insomnia and sleep apnea have all been associated with diabetes risk. This research spans epidemiologic and laboratory studies. Both physiologic mechanisms such as insulin resistance, decreased leptin, and increased ghrelin and inflammation and behavioral mechanisms such as increased food intake, impaired decision-making, and increased likelihood of other behavioral risk factors such as smoking, sedentary behavior, and alcohol use predispose to both diabetes and obesity, which itself is an important diabetes risk factor. This review describes the evidence linking sleep and diabetes risk at the population and laboratory levels.