The need to promote sleep health in public health agendas across the globe.

Healthy sleep is essential for physical and mental health, and social wellbeing; however, across the globe, and particularly in developing countries, national public health agendas rarely consider sleep health. Sleep should be promoted as an essential pillar of health, equivalent to nutrition and physical activity. To improve sleep health across the globe, a focus on education and awareness, research, and targeted public health policies are needed. We recommend developing sleep health educational programmes and awareness campaigns; increasing, standardising, and centralising data on sleep quantity and quality in every country across the globe; and developing and implementing sleep health policies across sectors of society. Efforts are needed to ensure equity and inclusivity for all people, particularly those who are most socially and economically vulnerable, and historically excluded.

Smart Phone/Ecological Momentary Assessment of Sleep and Daytime Symptoms Among Older Adults With Insomnia.

OBJECTIVES: To employ smart phone/ecological momentary assessment (EMA) methods to evaluate the impact of insomnia on daytime symptoms among older adults. DESIGN: Prospective cohort study SETTING: Academic medical center PARTICIPANTS: Twenty-nine older adults with insomnia (M age = 67.5 ± 6.6 years, 69% women) and 34 healthy sleepers (M age = 70.4 ± 5.6 years, 65% women). MEASUREMENTS: Participants wore an actigraph, completed daily sleep diaries, and completed the Daytime Insomnia Symptoms Scale (DISS) via smart phone 4x/day for 2 weeks (i.e., 56 survey administrations across 14 days). RESULTS: Relative to healthy sleepers, older adults with insomnia demonstrated more severe insomnia symptoms in all DISS domains (alert cognition, positive mood, negative mood, and fatigue/sleepiness). A series of mixed model analyses were performed using the Benjamini-Hochberg procedure for correcting false discovery rate (BH-FDR) and an adjusted p-value <0.05. Among older adults with insomnia, all five prior-night sleep diary variables (sleep onset latency, wake after sleep onset, sleep efficiency, total sleep time, and sleep quality) were significantly associated with next-day insomnia symptoms (i.e., all four DISS domains). The median, first and third quintiles of the effect sizes (R2) of the association analyses were 0.031 (95% confidence interval (CI: [0.011,0.432]), 0.042(CI: [0.014,0.270]), 0.091 (CI:[0.014,0.324]). CONCLUSION: Results support the utility of smart phone/EMA assessment among older adults with insomnia. Clinical trials incorporating smart phone/EMA methods, including EMA as an outcome measure, are warranted.

A protocol for applying health equity-informed implementation science models and frameworks to adapt a sleep intervention for adolescents at risk for suicidal thoughts and behaviors.

Background: Effective and equitable strategies to prevent youth suicidal thoughts and behaviors (STB) are an urgent public health priority. Adolescent sleep disturbances are robustly linked to STB but are rarely addressed in preventive interventions or among Black and/or Hispanic/Latinx youth for whom STB risk is increasing disproportionately. This paper describes an application of health equity-informed implementation science models and frameworks to adapt and evaluate the evidence-based Transdiagnostic Sleep and Circadian (TSC) intervention for primary care implementation with adolescents of minoritized backgrounds with depression and STB risk. Methods: This multiphase study protocol uses the Assessment, Decision, Adaptation, Production, Topical Experts-Integration, Training, Testing (ADAPT-ITT) model to adapt and evaluate TSC for primary care implementation with adolescents who are depressed, at risk for STB, and of primarily Black and/or Hispanic/Latinx backgrounds. We integrate the Consolidated Framework for Implementation Research (CFIR) in an initial qualitative inquiry of adolescent, caregiver, and clinician perceptions of TSC. Subsequent ADAPT-ITT phases include systematically and iteratively testing adaptations based on the qualitative inquiry, with ongoing key informant input, and then evaluating the adapted TSC for feasibility, acceptability, and efficacy in a pilot randomized trial. Anticipated results: Based on youth depression and sleep health disparities research, we expect that TSC adaptations will be needed to enhance intervention content for adolescents with depression, STB risk, and primarily Black and/or Hispanic/Latinx backgrounds. We also anticipate adaptations will be needed to align TSC delivery methods with primary care implementation. Conclusions: Adapting evidence-based interventions with end-users and contexts in mind can help ensure that intervention strategies and delivery methods are acceptable to, and feasible with, health disparate populations. Although TSC has shown effectiveness for adolescents with sleep disturbances, we expect that additional multiphase research is necessary to optimize TSC for primary care delivery with Black and/or Hispanic/Latinx adolescents with depression and STB risk.

Sleep and circadian informatics data harmonization: a workshop report from the Sleep Research Society and Sleep Research Network.

The increasing availability and complexity of sleep and circadian data are equally exciting and challenging. The field is in constant technological development, generating better high-resolution physiological and molecular data than ever before. Yet, the promise of large-scale studies leveraging millions of patients is limited by suboptimal approaches for data sharing and interoperability. As a result, integration of valuable clinical and basic resources is problematic, preventing knowledge discovery and rapid translation of findings into clinical care. To understand the current data landscape in the sleep and circadian domains, the Sleep Research Society (SRS) and the Sleep Research Network (now a task force of the SRS) organized a workshop on informatics and data harmonization, presented at the World Sleep Congress 2019, in Vancouver, Canada. Experts in translational informatics gathered with sleep research experts to discuss opportunities and challenges in defining strategies for data harmonization. The goal of this workshop was to fuel discussion and foster innovative approaches for data integration and development of informatics infrastructure supporting multi-site collaboration. Key recommendations included collecting and storing findable, accessible, interoperable, and reusable data; identifying existing international cohorts and resources supporting research in sleep and circadian biology; and defining the most relevant sleep data elements and associated metadata that could be supported by early integration initiatives. This report introduces foundational concepts with the goal of facilitating engagement between the sleep/circadian and informatics communities and is a call to action for the implementation and adoption of data harmonization strategies in this domain.

Does investing in low-income urban neighborhoods improve sleep?

STUDY OBJECTIVES: Neighborhood disadvantage is associated with poor sleep, which may contribute to and exacerbate racial and socioeconomic health disparities. Most prior work has been cross-sectional and thus it has not been possible to estimate causal effects. METHODS: We leveraged a natural experiment opportunity in two low-income, predominantly African American Pittsburgh, PA neighborhoods, following a randomly selected cohort of households (n = 676) between 2013 and 2016. One of the neighborhoods received substantial public and private investments (housing, commercial) over the study period, while the other socio-demographically similar neighborhood received far fewer investments. Primary analyses used a difference-in-difference analysis based on neighborhood, to examine changes in actigraphy-assessed sleep duration, efficiency, and wakefulness after sleep onset (WASO), and self-reported sleep quality. Secondary analyses examined whether residents' proximity to investments, regardless of neighborhood, was associated with changes in sleep outcomes. RESULTS: Resident sleep worsened over time in both neighborhoods with no significant differences among residents between the two neighborhoods. Secondary analyses, including covariate adjustment and propensity score weighting to improve comparability, indicated that regardless of neighborhood, those who lived in closer proximity to investments (<0.1 mile) were significantly less likely to experience decreases in sleep duration, efficiency, and quality, or increases in WASO, compared to those who lived farther away. CONCLUSIONS: While we did not observe sleep differences among residents between neighborhoods, living closer to a neighborhood investment was associated with better sleep outcomes. Findings have relevance for public health and policy efforts focused on investing in historically disinvested neighborhoods.

Violent crime, police presence and poor sleep in two low-income urban predominantly Black American neighbourhoods.

OBJECTIVE: To examine violent crime in relation to sleep and explore pathways, including psychological distress, safety perceptions and perceived police presence, that may account for associations. METHODS: In 2018, 515 predominantly Black American (94%) adults (Pittsburgh, Pennsylvania, USA) provided survey data: actigraphy-assessed sleep duration and wakefulness after sleep onset (WASO). We estimated pathways from violent crime (2016-2018) to sleep through psychological distress, perceptions of safety and perceived adequacy of police presence. RESULTS: WASO was most strongly associated with violent crimes that were within 1/10 mile of the participant's home and within the month preceding the interview. Violent crimes were associated with lower perceived safety (ß=-0.13 (0.03), p<0.001) and greater WASO (ß=5.96 (2.80), p=0.03). We observed no indirect associations between crime and either WASO or sleep duration through any of the tested mediators. Crime was not associated with sleep duration. CONCLUSIONS: We demonstrated that more proximal and more recent violent crimes were associated with reduced perceived safety and worse WASO. Differential exposure to violent crime among Black Americans may contribute to health disparities by reducing residents' perceived safety and sleep health.

Brief version of the Pittsburgh Sleep Quality Index (B-PSQI) and measurement invariance across gender and age in a population-based sample.

The Pittsburgh Sleep Quality Index (PSQI) is the most widely used questionnaire in research and clinical practice to assess sleep quality. However, a brief version of this measure would improve its efficiency and applicability. This study aimed to develop a brief form of the PSQI and to study measurement invariance across gender and age in a nonclinical population. In total, 609 participants with a mean age of 37.3 years (standard deviation [SD] = 11.9) were recruited, of whom 71.8% (n = 437) were women. Participants completed online versions of the PSQI and the Insomnia Severity Index (ISI). Reliability analyses were performed to reduce the number of items, followed by validity and measurement invariance analyses for the new Brief Version of the PSQI (B-PSQI). Six questions were included in the B-PSQI out of the initial 18; the brief form had adequate internal consistency (α = .79 and ω = 0.91). Confirmatory factor analysis showed optimal fit of the B-PSQI (χ2(4) = 22.428; p < .01; comparative fit index (CFI) = 0.99; normed fit index (NFI) = 0.99; Tucker-Lewis index (TLI) = 0.98; root mean squared error of approximation (RMSEA) = 0.06; standardized root mean square residual (SRMR) = 0.04), achieving partial scalar invariance across gender-same factorial structure, loadings, and thresholds in the majority of the items. Invariance across age was only achieved for model structure. Additionally, the B-PSQI yielded favorable sensitivity (75.82%) and specificity (76.99%) for classifying poor sleepers, similar to values for the full PSQI. In conclusion, the B-PSQI is a brief, reliable, and valid measure that can be used as a screening tool, allowing valid score comparisons between men and women of similar age. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Self-reported poor sleep on multiple dimensions is associated with higher total health care costs in older men.

STUDY OBJECTIVES: To estimate the association of self-reported poor sleep in multiple dimensions with health care costs in older men. METHODS: Participants were 1,413 men (mean [SD] age 76.5 [5.7] years) enrolled in both the Outcomes of Sleep Disorders in Older Men (MrOS Sleep) study and Medicare Fee-for-Service. Poor sleep was characterized at the baseline MrOS Sleep visit on five dimensions (satisfaction, daytime sleepiness, timing, latency, and duration). Health care costs and utilization were ascertained over 3 years of follow-up using Medicare Claims. RESULTS: Median (interquartile range [IQR]) annualized total health care costs (2018 US dollars) rose from $3,616 (IQR 1,523-7,875) for those with no impaired sleep dimensions to $4,416 (IQR 1,854-11,343) for men with two impaired sleep dimensions and $5,819 (IQR 1,936-15,569) for those with at least three impaired sleep dimensions. After multivariable adjustment, the ratio of total health care costs (CR) was significantly higher for men with two (1.24, 95% confidence interval [CI] 1.03- to 1.48) and men with at least three impaired sleep dimensions (1.78, 95% CI 1.42 to 2.23) vs. those with no impaired sleep dimensions. After excluding 101 men who died during the 3-year follow-up period, these associations were attenuated and not significant (CR 1.22, 95% CI 0.98 to 1.53 for men ≥3 impaired sleep dimensions vs. none). CONCLUSIONS: Self-reported poor sleep on multiple dimensions is associated with higher subsequent total health care costs in older men, but this may be due to higher mortality and increased health care costs toward the end of life among those with poor sleep health.

Sleep Health: An Opportunity for Public Health to Address Health Equity.

The concept of sleep health provides a positive holistic framing of multiple sleep characteristics, including sleep duration, continuity, timing, alertness, and satisfaction. Sleep health promotion is an underrecognized public health opportunity with implications for a wide range of critical health outcomes, including cardiovascular disease, obesity, mental health, and neurodegenerative disease. Using a socioecological framework, we describe interacting domains of individual, social, and contextual influences on sleep health. To the extent that these determinants of sleep health are modifiable, sleep and public health researchers may benefit from taking a multilevel approach for addressing disparities in sleep health. For example, in addition to providing individual-level sleep behavioral recommendations, health promotion interventions need to occur at multiple contextual levels (e.g., family, schools, workplaces, media, and policy). Because sleep health, a key indicator of overall health, is unevenly distributed across the population, we consider improving sleep health a necessary step toward achieving health equity.

Multidimensional sleep health and subsequent health-care costs and utilization in older women.

STUDY OBJECTIVES: Determine the association of poor multidimensional sleep health with health-care costs and utilization. METHODS: We linked 1,459 community-dwelling women (mean age 83.6 years) participating in the Study of Osteoporotic Fractures Year 16 visit (2002-2004) with their Medicare claims. Five dimensions of sleep health (satisfaction, daytime sleepiness, timing, latency, and duration) were assessed by self-report. The number of impaired dimensions was expressed as a score (range 0-5). Total direct health-care costs and utilization were ascertained during the subsequent 36 months. RESULTS: Mean (SD) total health-care costs/year (2017 dollars) increased in a graded manner across the sleep health score ranging from $10,745 ($15,795) among women with no impairment to up to $15,332 ($22,810) in women with impairment in three to five dimensions (p = 0.01). After adjustment for age, race, and enrollment site, women with impairment in three to five dimensions vs. no impairment had greater mean total costs (cost ratio [CR] 1.34 [95% CI = 1.13 to 1.60]) and appeared to be at higher risk of hospitalization (odds ratio (OR) 1.31 [95% CI = 0.96 to 1.81]). After further accounting for number of medical conditions, functional limitations, and depressive symptoms, impairment in three to five sleep health dimensions was not associated with total costs (CR 1.02 [95% CI = 0.86 to 1.22]) or hospitalization (OR 0.91 [95% CI = 0.65 to 1.28]). Poor multidimensional sleep health was not related to outpatient costs or risk of skilled nursing facility stay. CONCLUSIONS: Older women with poor sleep health have higher subsequent total health-care costs largely attributable to their greater burden of medical conditions, functional limitations, and depressive symptoms.

Proposed Performance Measures and Strategies for Implementation of the Fatigue Risk Management Guidelines for Emergency Medical Services.

BACKGROUND: Performance measures are a key component of implementation, dissemination, and evaluation of evidence-based guidelines (EBGs). We developed performance measures for Emergency Medical Services (EMS) stakeholders to enable the implementation of guidelines for fatigue risk management in the EMS setting. METHODS: Panelists associated with the Fatigue in EMS Project, which was supported by the National Highway Traffic Safety Administration (NHTSA), used an iterative process to develop a draft set of performance measures linked to 5 recommendations for fatigue risk management in EMS. We used a cross-sectional survey design and the Content Validity Index (CVI) to quantify agreement among panelists on the wording and content of draft measures. An anonymous web-based tool was used to solicit the panelists' perceptions of clarity and relevance of draft measures. Panelists rated the clarity and relevance separately for each draft measure on a 4-point scale. CVI scores ≥0.78 for clarity and relevance were specified a priori to signify agreement and completion of measurement development. RESULTS: Panelists judged 5 performance measures for fatigue risk management as clear and relevant. These measures address use of fatigue and/or sleepiness survey instruments, optimal duration of shifts, access to caffeine as a fatigue countermeasure, use of napping during shift work, and the delivery of education and training on fatigue risk management for EMS personnel. Panelists complemented performance measures with suggestions for implementation by EMS agencies. CONCLUSIONS: Performance measures for fatigue risk management in the EMS setting will facilitate the implementation and evaluation of the EBG for Fatigue in EMS.

Evidence-Based Guidelines for Fatigue Risk Management in Emergency Medical Services.

BACKGROUND: Administrators of Emergency Medical Services (EMS) operations lack guidance on how to mitigate workplace fatigue, which affects greater than half of all EMS personnel. The primary objective of the Fatigue in EMS Project was to create an evidence-based guideline for fatigue risk management tailored to EMS operations. METHODS: Systematic searches were conducted from 1980 to September 2016 and guided by seven research questions framed in the Population, Intervention, Comparison, Outcome (PICO) framework. Teams of investigators applied inclusion criteria, which included limiting the retained literature to EMS personnel or similar shift worker groups. The expert panel reviewed summaries of the evidence based on the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. The panel evaluated the quality of evidence for each PICO question separately, considered the balance between benefits and harms, considered the values and preferences of the targeted population, and evaluated the resource requirements/needs. The GRADE Evidence-to-Decision (EtD) Framework was used to prepare draft recommendations based on the evidence, and the Content Validity Index (CVI) was used to quantify the panel's agreement on the relevance and clarity of each recommendation. CVI scores for relevance and clarity were measured separately on a 1-4 scale to indicate consensus/agreement among panel members and conclusion of recommendation development. RESULTS: The EtD framework was applied to all 7 PICO questions, and the panel created 5 recommendations. PICO1: The panel recommends using fatigue/sleepiness survey instruments to measure and monitor fatigue in EMS personnel. PICO2: The panel recommends that EMS personnel work shifts shorter than 24 hours in duration. PICO3: The panel recommends that EMS personnel have access to caffeine as a fatigue countermeasure. PICO4: The panel recommends that, EMS personnel have the opportunity to nap while on duty to mitigate fatigue. PICO5: The panel recommends that EMS personnel receive education and training to mitigate fatigue and fatigue-related risks. The panel referenced insufficient evidence as the reason for making no recommendation linked to 2 PICO questions. CONCLUSIONS: Based on a review of the evidence, the panel developed a guideline with 5 recommendations for fatigue risk management in EMS operations.

Conditional adaptive Bayesian spectral analysis of nonstationary biomedical time series.

Many studies of biomedical time series signals aim to measure the association between frequency-domain properties of time series and clinical and behavioral covariates. However, the time-varying dynamics of these associations are largely ignored due to a lack of methods that can assess the changing nature of the relationship through time. This article introduces a method for the simultaneous and automatic analysis of the association between the time-varying power spectrum and covariates, which we refer to as conditional adaptive Bayesian spectrum analysis (CABS). The procedure adaptively partitions the grid of time and covariate values into an unknown number of approximately stationary blocks and nonparametrically estimates local spectra within blocks through penalized splines. CABS is formulated in a fully Bayesian framework, in which the number and locations of partition points are random, and fit using reversible jump Markov chain Monte Carlo techniques. Estimation and inference averaged over the distribution of partitions allows for the accurate analysis of spectra with both smooth and abrupt changes. The proposed methodology is used to analyze the association between the time-varying spectrum of heart rate variability and self-reported sleep quality in a study of older adults serving as the primary caregiver for their ill spouse.

The role of sleep hygiene in promoting public health: A review of empirical evidence.

The ineffectiveness of sleep hygiene as a treatment in clinical sleep medicine has raised some interesting questions. If it is known that, individually, each specific component of sleep hygiene is related to sleep, why wouldn't addressing multiple individual components (i.e., sleep hygiene education) improve sleep? Is there still a use for sleep hygiene? Global public health concern over sleep has increased demand for sleep promotion strategies accessible to the population. However, the extent to which sleep hygiene strategies apply outside clinical settings is not well known. The present review sought to evaluate the empirical evidence for sleep hygiene recommendations regarding exercise, stress management, noise, sleep timing, and avoidance of caffeine, nicotine, alcohol, and daytime napping, with a particular emphasis on their public health utility. Thus, our review is not intended to be exhaustive regarding the clinical application of these techniques, but rather to focus on broader applications. Overall, though epidemiologic and experimental research generally supported an association between individual sleep hygiene recommendations and nocturnal sleep, the direct effects of individual recommendations on sleep remains largely untested in the general population. Suggestions for clarification of sleep hygiene recommendations and considerations for the use of sleep hygiene in nonclinical populations are discussed.

Ecological momentary assessment of fatigue, sleepiness, and exhaustion in ESKD.

BACKGROUND: Many patients on maintenance dialysis experience significant sleepiness and fatigue. However, the influence of the hemodialysis (HD) day and circadian rhythms on patients' symptoms have not been well characterized. We sought to use ecological momentary assessment to evaluate day-to-day and diurnal variability of fatigue, sleepiness, exhaustion and related symptoms in thrice-weekly maintenance HD patients. METHODS: Subjects used a modified cellular phone to access an interactive voice response system that administered the Daytime Insomnia Symptom Scale (DISS). The DISS assessed subjective vitality, mood, and alertness through 19 questions using 7- point Likert scales. Subjects completed the DISS 4 times daily for 7 consecutive days. Factor analysis was conducted and a mean composite score of fatigue-sleepiness-exhaustion was created. Linear mixed regression models (LMM) were used to examine the association of time of day, dialysis day and fatigue, sleepiness, and exhaustion composite scores. RESULTS: The 55 participants completed 1,252 of 1,540 (81%) possible assessments over the 7 day period. Multiple symptoms related to mood (e.g., feeling sad, feeling tense), cognition (e.g., difficulty concentrating), and fatigue (e.g., exhaustion, feeling sleepy) demonstrated significant daily and diurnal variation, with higher overall symptom scores noted on hemodialysis days and later in the day. In factor analysis, 4 factors explained the majority of the observed variance for DISS symptoms. Fatigue, sleepiness, and exhaustion loaded onto the same factor and were highly intercorrelated. In LMM, mean composite fatigue-sleepiness-exhaustion scores were associated with dialysis day (coefficient and 95% confidence interval [CI] 0.21 [0.02 - 0.39]) and time of day (coefficient and 95% CI 0.33 [0.25 - 0.41]. Observed associations were minimally affected by adjustment for demographics and common confounders. CONCLUSIONS: Maintenance HD patients experience fatigue-sleepiness-exhaustion symptoms that demonstrate significant daily and diurnal variation. The variability in symptoms may contribute to poor symptom awareness by providers and greater misclassification bias of fatigue related symptoms in clinical studies.

Can an improvement in sleep positively impact on health?

Reports from a large number of studies document significant associations between sleep duration and various health problems such as cardiovascular events, risk of stroke, incident artery calcification, changes in inflammatory markers and many more. Furthermore, some sleep duration studies have shown that shorter sleep precedes some adverse health outcomes, although a causal relationship has yet to be demonstrated. Whilst clinical studies have shown that de-fragmenting (reducing awakenings and improving sleep continuity) sleep can reverse the harmful consequences of sleep apnea, and other studies have demonstrated that adjunctive treatment of insomnia improves depression, evidence that treatment of insomnia results in health benefit is more controversial. This article documents the debate session from the 6th International Sleep Disorders Forum -The Art of Good Sleep, held in Toronto, Canada in September 2008; the topic of which was "Does an improvement in sleep positively impact on health?"

Social integration, social contacts, and blood pressure dipping in African-Americans and whites.

OBJECTIVE: Both the size and diversity of an individual's social network are strongly and prospectively linked with cardiovascular morbidity and mortality. Social relationships may influence cardiovascular outcomes, at least in part, via their impact on physiologic pathways influenced by stress, such as daytime blood pressure (BP) levels. However, scant research has examined whether social relationships influence key nocturnal pathways, such as nocturnal BP dipping. METHODS: The current study examined the degree to which social integration, as measured by participants' reported engagement in a range of different types of social relationships, and the frequency of daily social contacts influence the ratio of night/day mean arterial pressure (MAP) in a community sample of African-American and white men and women (N = 224). In addition, we examined the degree to which observed associations persisted after statistical adjustment for factors known to covary with nocturnal BP, including objective measures of sleep, catecholamines, health behaviors, and comorbidities. RESULTS: In fully adjusted models, there was a significant association between both social integration and frequency of social contacts and the ratio of night/day MAP, indicating that socially isolated individuals were more likely to have blunted nocturnal BP-dipping profiles. There was also a significant interaction between social contact frequency and ethnicity, suggesting that the benefits of social relationships were particularly evident in African-Americans. CONCLUSIONS: These findings contribute to our understanding of how social integration or conversely, social isolation, influences cardiovascular risk.