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Introduction Transportation workers are at risk for obstructive sleep apnea (OSA), yet OSA is commonly undiagnosed in this population. In a two-phase study, we design and evaluate a tailored, mobile health (mHealth) intervention aimed at achieving OSA awareness, including changes in OSA beliefs, among operators of large highway maintenance vehicles. Methods In Phase 1, we recruited highway maintenance vehicle operators employed at worksites in the US northeast for focus groups to examine OSA beliefs and barriers. Results of the Phase 1 focus groups were used to inform the tailored intervention. In Phase 2, we evaluated the tailored approach, “Sleep Strong, Live Long,” in a mini-RCT. Worksites were randomized to intervention (Sleep Strong, Live Long) or control. Employees at both worksites completed baseline questionnaires and follow-up questionnaires 2-months post-baseline. Employees at the intervention worksite received a 30 minute in-person education session, access to an interactive website including video success stories, then follow-up text messages over 2 months as part of the Sleep Strong, Live Long program. The control condition received the intervention after completing follow-up surveys. We compared responses on the follow-up surveys between intervention and control conditions using linear regression with baseline responses as covariates. Results Phase 1 themes included common sleep complaints, inconsistent work schedules, and misconceptions about OSA (n=45). 75% of Phase 1 participants reported resistance to OSA behavior change. Phase 2 mini-RCT participants (n= 38) were on average 43.4 (sd=12.1) years old. Participants were 86.8% male and 67.6% reported an annual household income of $50,000 or more. Exposure to the intervention was associated with an improvement in OSA literacy (b=0.14, p=0.037), but not OSA self-efficacy (b=0.12, p=0.330) or OSA readiness to change (b=0.76, p=0.336). Conclusion We provide preliminary support for improving OSA literacy among a sample of transportation workers. Future research may evaluate the tailored program in a larger sample of workers and with a longer follow-up period to consider whether OSA literacy and self-efficacy mediate actual OSA behaviors, such as changes in OSA evaluation and treatment. Support (if any) This work was supported by the National Heart, Lung, and Blood Institute (NHLBI) at the National Institutes of Health (NIH, Grant # K01HL150339).

Introduction Sleep health impacts the community in many ways. Regional sleep health may reflect other important indicators of health and well-being. Few studies have examined sleep health at the regional level, though. Methods Data on neighborhood sleep health values were obtained from the “500 Cities” data collected by the CDC that includes census tract and proportion of the population in that region that report values associated with health, as assessed with the Behavioral Risk Factor Surveillance System. Data include the population of each census tract as well as census-estimated proportion of the population in each census tract that report obtaining at least 7 hours of sleep. Additional variables included as covariates in analyses included the proportion with healthcare access, that were obese, had high blood pressure, had diabetes, and were smokers. The Child Opportunity Index (COI) is a publicly-available index (DiversityDataKids.org) reported at the census tract level. It provides indices for “Education,” “Health & Environment,” and “Social & Economic” domains, as well as a global score. The present analysis merged the 500 Cities data with the COI data, using census tract as the matching variable. Linear regression analyses examined COI global and subscale scores as outcome variable and proportion of the population obtaining 7 hours of sleep as the independent variable, unadjusted and adjusted for covariates. When data were merged, 27,130 census tracts were included. Results Sleep sufficiency was associated with global COI, such that for each additional percent of the population that obtains >=7 hours of sleep, COI increases by 3.6 points (95%CI[3.57,3.64]; p Conclusion Regional prevalence of insufficient sleep was linearly associated with Child Opportunity Index, which itself is an important predictor of a wide range of health and economic outcomes. Community sleep health interventions may have wide-ranging benefits. Support (If Any)

Introduction Sleep deficiency and undiagnosed or untreated sleep disorders are pervasive among employed adults, yet are often ignored in the context of workplace health promotion. Smartphone applications (apps) are a promising, scalable approach to improving sleep among employees. We evaluated an online sleep education program followed by access to a mobile sleep training program, the dayzz app, that promotes healthy sleep, sleep disorders awareness and intervention. Methods In a sample of daytime employees affiliated with a large healthcare organization, we evaluated the intervention (sleep education at baseline plus access to the personalized app for up to 9 months) in a parallel group, randomized controlled trial. Participants were randomly assigned to either the experimental condition that received the intervention in months 1 through 9 or the control group that was assigned to receive the intervention in month 10. In a prespecified data analysis plan, the experimental and control groups were compared in months 1 through 9; no outcome data was collected thereafter. We collected data on employee sleep, workplace outcomes, and healthcare utilization, monthly throughout the study. Results The final cohort was comprised of 794 participants assigned to the experimental and 561 to the control condition. Those assigned to the experimental condition were more likely to maintain consistent sleep schedules (OR:1.40;95%CI:1.12-1.75) and less likely to experience fatigue and sleepiness (OR:1.30;95%CI:1.08-1.57). At the 9-month follow-up assessment, the experimental group reported significantly longer sleep duration than the control group on work (experimental: 7.20hrs; control: 6.99hrs, p=0.01) and free (experimental: 8.26hrs; control: 8.04hrs, p=0.03) nights. The odds of poor sleep quality at follow-up were lower in the experimental condition (OR:0.79,95%CI:0.63-0.98) as compared to control. Mean total dollars lost due to presenteeism was less among experimental compared to control participants (p=0.0001), corresponding to an average of $274 saved per person per month. Finally, participants in the experimental group were less likely to report mental health visits (p=0.01) and had a lower rate of overall healthcare utilization (p=0.03), compared to the control group. Conclusion Results from this randomized clinical trial demonstrate that a digital workplace sleep wellness program can be beneficial to both employees and employers, by improving employee sleep and fatigue, increasing work productivity, and reducing direct healthcare costs. Support (If Any) This study was funded by dayzz Live Well Ltd.

Introduction Sleep disturbance is associated with poor mental health and may contribute to initiating or continuing use/abuse of alcohol and drugs. Using data from a nationwide survey, we examined the relationship between sleep disturbance and suicide behaviors among youth and adults, including those who report drug/alcohol use and abuse. Methods We analyzed data from the 2018 National Survey on Drug Use and Health (NSDUH), an annual survey collecting information about the use of illicit drugs and alcohol among non-institutionalized U.S. youth (age 12–17) and adults (age>17). The 2018 survey included 9,398 youth and 43,026 adult respondents. Depression was assessed in adults with the Kessler-6 and in youth with several questions assessing psychological distress. Those who scored at risk for psychological distress were also asked about sleep disturbance and suicidal behaviors (i.e., ideation, planning, attempt). All were asked to report their drug/alcohol use and/or abuse. Our study population included those who reported psychological distress. We conducted binary logistic regression to examine the relationship between suicidal behavior and sleep disturbance in this population. We also conducted sub-analyses to explore the relationship between suicidal behavior and sleep disturbance among those reporting drug/alcohol use and abuse. Results Youth were 29% male and 71% female, adults were 36% male and 64% female. Adult participants, 39% were 18 to 25, 22% were 26 to 34, and 39% were age 35 and older. Among those with psychological distress, suicidal behavior was more likely among those who reported sleep disturbance (youth: OR=2.7, 95%CI:1.8–4.0; adults: OR=1.3, 95%CI:1.2–1.5). Also, among those with psychological distress, suicidal behavior was more likely among those who reported concomitant sleep disturbance and either alcohol abuse/alcoholism (youth: OR:3.3, 95%CI:1.6–7.0; adults: OR=1.4, 95%CI:1.1–1.7); illicit drug abuse (youth: OR=3.5, 95%CI:1.6–7.4; adults: OR=1.3, 95%CI:1.0–1.6); or alcohol and illicit drug abuse (youth: OR=3.2, 95%CI:1.5–6.9; adults: OR=1.4, 95%CI:1.1–1.7). Conclusion Youth and adults with psychological distress and sleep disturbance are more likely to also report suicidal behaviors. Alcohol and drug use or abuse increase their risk for suicidal behavior compared to those who do not report sleep disturbance. Future work should include examination of causality and of interventions. Support (if any) NIH K24-HL105664, P01-AG009975, T32-HL007901, K01HL150339, 1R56HL151637

Introduction Associations between self-reported sleep duration and risk of hypertension (HTN) are well established. The level of sleep-related HTN risk based on the new JNC 8 classification guidelines requires further research. In this study, we modeled the associations of insufficient sleep with HTN using the National Health and Nutrition Examination Survey (NHANES). Methods Data were extracted from the 2006-2016 NHANES (n=38,540), a nationally representative study of the US civilian population. Self-reported demographic and sleep duration were determined from household interview questions. Insufficient sleep was categorized as sleeping Results Participants’ ages ranged from 18-85 years. Of the sample, 51% were female, 41% white, 22% black, 26% Hispanic, 8% others; 46% were married, and 25% completed Conclusion Our analyses showed that sleep-related HTN risks vary as a function of individual’s sex and race/ethnicity. Increasing sleep duration at all HTN severity level is important and males and Hispanics at Stage II HTN might benefit the most. Support This study was supported by funding from the NIH: R01MD007716,R01HL142066, R01AG056531, T32HL129953, K01HL135452 and K07AG052685

Introduction Initial download and use of sleep tracking is very high, but prolonged use is very low. Poor prolonged use may be attributable to several factors such as engagement, functionality, aesthetics, information, and recommendation. We appraised these five factors in 16 consumer- and research/medical- grade digital sleep devices. Methods Three reviewers independently assessed 16 consumer- and medical-grade sleep digital devices using the Mobile Application Rating Scale (MARS) App quality ratings, which measures engagement (engagement, entertainment, interest, customization, interactivity, target group), functionality (functionality, performance, ease of use, navigation, gestural design), aesthetics (layout, graphics, visual appeal), information (Accuracy. Goals, Quality of information, Quantity of information, Visual information, Credibility, and Evidence base) and recommended on a Likert scale, with 1- Inadequate to 5 Excellent. Each subcategory is rated on a 1-5 Likert scale which is summed for each category: engagement (30), functionality (25), aesthetics (15), information (35) and recommended (yes or no). Results Devices that had the highest engagement score were Fitbit (27), Apple Watch (27), Garmin (27), and Dreem 2 headband (25.5). Apple Watch (30) had highest score; while Fitbit (13), Apple Watch (13), Garmin (13), Samsung Gear (13) had highest aesthetic score. While for information, ActiGraph (35), SOMNOwatch plus (35), CleveMed SleepView Monitor (35), CleveMed Sapphire PSG (35), SOMNOscreen plus (35), Nox T3 Sleep Monitor (35) and Nox A1 PSG System (35) had the highest ratings. The Dreem 2 headband has the potential induce prolong use among users with and without sleep disorders, based on high scores on engagement (25.5), Functionality (20.5), and Information (26.5). Conclusion Consumer- and research-grade digital devices that measure sleep have varying levels of engagement, functionality, aesthetics, information and recommendations to facilitate prolong use. Consumer grade devices had higher engagement, functionality and aesthetics scores, while research grade devices had higher information and recommendation scores. If consumer- and research-grade devices are to have prolonged use, standardization is needed across the five MARS components. Support K01HL135452, R01MD007716, R01HL142066, and K07AG052685

Introduction Adequate sleep is essential for a child’s growth and development. However, a growing number of children are experiencing trouble falling asleep. Smartphone audio-based mobile applications with soothing melodies and calming nighttime stories may improve sleep onset. Our study examined the efficacy of Moshi Twilight, an app designed to improve sleep onset, among children ages 3-8 years old using a parent-child dyadic approach. Methods Our within-subjects pre-post study design focused on healthy children studied over 10 days, spanning 3 weeknights and 2 weekend nights. During the baseline (Days 1-5) and exposure (Days 6-10) conditions the Child Sleep Health Questionnaire was used to measure children’s sleep behavior. The PROMIS and Pittsburgh Sleep Quality Index were used to assess parents’ sleep quality. Parents exposed their child to 1 story per night (15-20 minutes) during the exposured condition. Statistical analysis was based on paired t-tests, independent t-tests, and correlations. Results On average, participating parents were 37 (SD +9.6) year-old mothers. The sample was: 60% Black; 20% White, 20% other race/ethnicity. On average, children were 4 (SD + 0.78) years old and 50% male. Paired t-tests showed significant differences in children’s sleep onset within 20 minutes (t=2.582, 95% CI 0.116, 2.634, p= 0.036). Significant correlations were noted for children’s bedtime consistency (r = -0.755, p = 0.030), falling asleep in own bed (r = 0.735, p=0.015) and sleep duration (r = -0.715, p=0.046,) Significant correlations and paired t-test in parents’ sleep onset were also found (r = 0.744, p = 0.014); (mean= -1.2, t= -3.674, 95% CI -1.939, -0.461, p=0.005) Conclusion Our results showed that the audio-based sleep app, Moshi Twilight, might be useful in improving sleep health among both children and parents. This could be included in enhance bedtime routine among preschool-aged children. Support Bezos Grant and Community Service Plan grant.

Introduction Increasing attention to the importance of sleep among children raises questions about how to implement accessible, effective interventions. Part of answering those questions rests in determining interest in and demand for programming. Pajama Program (PJP), a 501(c)(3), works with nearly 4,000 community-based organizations (CBOs) nationally that work with children exposed to adversity, including: foster care/child welfare; shelters; low-income schools, after-school, and early care and education programs; and social-service providers. Anticipating its launch of sleep health education programs, PJP and its Good Night Advisory Council of sleep experts designed a CBO needs assessment. Methods The survey was distributed electronically to staff at 3,911 CBOs; 1,635 organizations responded (42%). Results Across respondents, 65% work with children birth to 18 in settings that were non-residential (39%), residential (18%), or both (43%); most (91%) worked with participants for over one month. CBOs included child welfare/foster care (20.6% of respondents); transitional housing/shelter (20.5%); social services (15.6%); and early care and education (12.7%). Interest in sleep health education was high across all program types: 80 to 89% of programs within each type wanted information for staff and/or caregivers, specifically handouts (among 93% of programs), articles (88%), videos (85%), and workshops (70%). At least 90% of respondents who provided early care and education, parenting, and crisis services were interested in sleep health education for program staff. These program types also had high interest in sleep health education for caregivers, as did child welfare/foster care, school/after school, and shelters (all at least 90% of respondents). Conclusion The CBOs in this sample recognize sleep is an issue among the children they serve, but most did not have access to information on sleep health. These results establish the need for sleep health education and suggest preferred modalities. The project is a model for partnerships involving researchers, nonprofits, and community-based organizations. Support Funding for this project was provided by Pajama Program, a national 501(c)(3) non-profit.

Introduction Sleep is vital for healthy development from infancy through adolescence. Despite its importance, false beliefs that conflict with scientific evidence (myths) may be common among caregivers and impair sleep health during these crucial stages. Methods Researchers compiled a list of potential myth statements using internet searches of popular press and scientific literature. We utilized a Delphi process with experts (n=12) from the fields of pediatric, sleep, and circadian research and clinical practice. Selection and refinement of myths by sleep experts proceeded in three phases, including: focus groups (Phase 1); email-based feedback to edit, add, or remove myths (Phase 2); and closed-ended questionnaires (Phase 3) where experts rated myths on two dimensions: (1) falseness and (2) public health significance using 5-point Likert scale: 1 (“not at all”) to 5 (“extremely false/important”). Results Thirty-two sleep myths were identified across three developmental categories: infant (14 myths), child (6 myths), and adolescent (12 myths). Mean expert ratings illuminated the most pressing myths in each developmental category: infant sleep (“Sleep training causes psychological harm, including reduced parent-child attachment:” falseness =4.7, s.d.=0.7; public health significance=4.0, s.d.=1.1); child sleep (“Heavy, loud snoring for my child means he’s sleeping deeply:” falseness=4.8, s.d.=0.6; public health significance=4.7, s.d.=0.7), and teenager sleep (“Falling asleep in class means your teenager is lazy and not motivated:” falseness=4.8, s.d.=0.5; public health significance=4.3, s.d.=0.8). Conclusion The current study identified commonly-held myths about infant, child, and adolescent sleep that are not supported by (or worse, counter to) scientific evidence. If unchecked, these myths may hinder sleep at a critical developmental stage. Future research may include public health education to correct myths and promote healthy sleep among infants, children, and teenagers. Support 5T32HL007901

Introduction Epidemiologic data show strong associations between self-reported sleep duration and hypertension (HTN). Modeling these associations is suboptimal when utilizing traditional logistic regressions. In this study, we modeled the associations of sleep duration and HTN using Deep Learning Network. Methods Data were extracted from participants (n=38,540) in the National Health and Nutrition Examination Survey (2006-2016), a nationally representative study of the US civilian non-institutionalized population. Self-reported demographic, medical history and sleep duration were determined from household interview questions. HTN was determined as SBP ≥ 130 mmHg and DBP ≥ 80 mmHg. We used a deep neural network architecture with three hidden layers with two input features and one binary output to model associations of sleep duration with HTN. The input features are the hours of sleep (limited to between 4 and 10 hours) and its square; and the output variable HTN. Probability predictions were generated 100 times from resampled (with replacement) data and averaged. Results Participants ranged from 18 to 85 years old; 51% Female, 41% white, 22% black, 26% Hispanic, 46% married, and 25% < high school. The model showed that sleeping 7 hours habitually was associated with the least observed HTN probabilities (P=0.023%). HTN probabilities increased as sleep duration decreased (6hrs=0.05%; 5hrs=0.110%; 4hrs=0.16%); HTN probabilities for long sleepers were: (8hrs=0.027; 9hrs=0.024; 10hrs=0.022). Whites showed sleeping 7hrs or 9hrs was associated with lowest HTN probabilities (0.008 vs. 0.005); blacks showed the lowest HTN probabilities associated with sleeping 8hrs (0.07), and Hispanics showed the lowest HTN probabilities sleeping 7hrs (0.04). Conclusion We found that sleeping 7 hours habitually confers the least amount of risk for HTN. Probability of HTN varies as a function of individual’s sex and race/ethnicity. Likewise, the finding that blacks experience the lowest HTN probability when they sleep habitually 8 hours is of great public health importance. Support This study was supported by funding from the NIH: R01MD007716, R01HL142066, R01AG056531, T32HL129953, K01HL135452, and K07AG052685.

Introduction Caregiving for older spouses or family members is common with an aging population. The responsibilities caregivers maintain can disrupt sleep, which may present workplace productivity consequences. We sought to test whether caregiving-related sleep disturbance was associated with workplace productivity among adults caring for older spouses and family members. Methods Cross-sectional analysis of the 2011 National Study of Caregiving dataset was conducted. The dataset is comprised of family members and unpaid caregivers to older adults in the U.S. (age 65 and above) receiving assistance with self-care, mobility, or household activities. Caregivers reported the frequency of sleep disturbance (“In the last month, how often did caregiving cause your sleep to be interrupted”) from 0 (“never” or “rarely”) to 1 (“some nights”) and 2 (“most nights” or “every night”). Workplace measures included: 1) presenteeism, or the degree to which caregiving affected productivity at work, measured from 1 “not at all” to 10 “very much”; 2) absenteeism, or the proportion of hours missed from work due to caregiving to total hours worked, and 3) productivity loss, or the sum of absenteeism and presenteeism. Generalized linear models examined the relationship between workplace productivity and sleep disturbance, while controlling for relevant covariates, including age, income, education, and self-reported health. Results Participants comprised 2,007 caregivers. Mean (SD) age was 63.5 (12.9), and 66.4% of the participants were women (n=1,334). The most common relationship to the older adult was daughter (n=704, 35.1%), followed by spouse/partner (n=422,21.0%), and son (n=310,15.5%). Compared to no “rarely” or “never” experiencing sleep disruption, reporting disruption “most nights” or “every night” was associated with presenteeism (OR=1.2, 95%CI:1.1–1.2), absenteeism (OR=1.1, 95%CI: 1.0–1.1), and total productivity loss (OR=1.22, 95%CI: 1.1 to 1.3). Conclusion Caregiving-related sleep disruption is a risk factor for workplace productivity losses, hindering caregivers from professional advancement and further degrading their caregiver capacity. Future study of means for improving sleep among caregivers is warranted. Support T32HL007901

Introduction Children exposed to adversity (e.g., homelessness, poverty) are at risk of poor sleep. Community settings that serve these children, both residential (e.g., foster care group homes, shelters) and non-residential (e.g., early care and education, schools), hold important understandings to the barriers to sleep they experience. We surveyed a heterogeneous national sample of community-based organizations (CBOs) in our Pajama Program sample to explore these barriers. Methods Pajama Program, a national 501(c)(3) nonprofit, administered an online needs assessment in May 2016 to staff at 3,911 CBOs. This poster reports on qualitative responses to the question, What are the primary barriers to sleep and bedtime among children your organization serves? Responses from residential and non-residential CBOs were analyzed separately. Two trained coders independently used the constant comparative method to analyze transcripts. Results Survey respondents (1,635) provided services in non-residential (42%), residential (18%) and combined (43%) settings. Organizations provided child welfare/foster care (20.6% of programs); transitional housing/shelter (20.5%); social services (15.6%); and early care and education (12.7%) services. Responses to the target open-ended item were from 127 non-residential and 55 residential programs. Sleep barriers common to both settings included: late/irregular bedtimes; no bedtime routine; lack of sleep education; housing/food insecurity; stress; disrupted/uncomfortable sleep; and adapting to new environments. Trauma was a barrier among residential (vs. non-residential) programs. Non-residential providers noted unstable family situations, bedding insecurity, and poor sleep hygiene. Conclusion Our research highlights barriers to sleep among children exposed to adversity, a largely understudied yet high risk group. Barriers reported by residential and non-residential CBOs were more similar than different. was Across program types and settings, CBOs expressed a need for sleep health education interventions for children and caregivers. Support Funding for this project was provided by Pajama Program, a national 501(c)(3) non-profit.