Faculty Bibliography

OBJECTIVES/OBJECTIVE:The objective of the present study is to identify which underlying beliefs about the impact of sleep on health may motivate change in sleep behavior. DESIGN/METHODS:A cross-sectional study conducted between 2012 and 2014. SETTING/METHODS:Data were from the Sleep and Healthy Activity, Diet, Environment, and Socialization (SHADES) study conducted in Philadelphia, PA, and its surrounding regions. PARTICIPANTS/METHODS:Participants consisted of N = 1007 community-dwelling adults age 22-60. MEASUREMENTS/METHODS:Respondents indicated behaviors they could improve on to facilitate sleep and their corresponding readiness to change. They were also asked items from the Sleep Practices and Attitudes Questionnaire (SPAQ) regarding the degree to which they agree with whether "not getting enough sleep" can impact a variety of health factors. RESULTS:In adjusted analyses, stage of change was associated with degree of agreement that insufficient sleep can cause sleepiness (odds ratio [OR] = 1.17, P = .035), weight gain (OR = 1.20, P < .0005), heart disease (OR = 1.21, P = .001), cholesterol (OR = 1.13, P = .047), hypertension (OR = 1.16, P = .014), moodiness (OR = 1.42, P < .0005), decreased energy (OR = 1.30, P = .002), absenteeism (OR = 1.13, P = .007), decreased performance (OR = 1.20, P = .003), concentration/memory problems (OR = 1.23, P = .004), diabetes (OR = 1.14, P = .042), and feeling tired (OR = 1.39, P < .0005). When sleep duration was added to the model, significant associations remained for all except cholesterol. When accounting for insomnia, significant associations were maintained for only weight, moodiness, performance, diabetes, and tiredness. CONCLUSIONS:Degree of belief that insufficient sleep can cause outcomes such as moodiness, occupational problems, and health problems may impact whether an individual is contemplating/attempting to change their sleep-related behaviors. Targeting these key messages about the associations between sleep health with moodiness and weight gain in informational material may enhance education/outreach efforts aimed at adults.

The consideration of sleep and circadian rhythms in the context of health is a relatively recent development in the history of the field of behavioral medicine. This special issue of the International Journal of Behavioral Medicine recognizes that sleep and circadian rhythms are fundamental to appreciating physiological, psychological, social, and environmental factors in the health and well-being of the population. The articles included in this issue draw attention to the breadth and saliency of sleep as a marker of health status and as a target of behavioral intervention to promote health. Such research highlights the diversity of participants, research methods, and clinical significance of translational sleep science allowing us to recognize the role of sleep in the context of health in new ways. These studies also illustrate progress in integrating theory, employing prospective and longitudinal designs and multimodal and integrative assessments. This introduction to the special issue concludes by discussing challenges and opportunities in the field of behavioral sleep medicine, including those posed by the coronavirus disease 2019 (COVID-19) pandemic and the need to more effectively provide sleep disorder treatment among underserved populations.

INTRODUCTION/BACKGROUND:Obstructive sleep apnea (OSA) is associated with Alzheimer's disease (AD) biomarkers in cognitively normal (CN) and mild cognitive impaired (MCI) participants. However, independent and combined effects of OSA, amyloid beta (Aβ) and tau-accumulation on AD time-dependent progression risk is unclear. METHODS:Study participants grouped by biomarker profile, as described by the A/T/N scheme, where "A" refers to aggregated Aβ, "T" aggregated tau, and "N" to neurodegeneration, included 258 CN (OSA-positive [OSA+] [A+TN+ n = 10, A+/TN- n = 6, A-/TN+ n = 10, A-/TN- n = 6 and OSA-negative [OSA-] [A+TN+ n = 84, A+/TN- n = 11, A-/TN+ n = 96, A-/TN- n = 36]) and 785 MCI (OSA+ [A+TN+ n = 35, A+/TN- n = 15, A-/TN+ n = 25, A-/TN- n = 16] and OSA- [A+TN+ n = 388, A+/TN- n = 28, A-/TN+ n = 164, A-/TN- n = 114]) older-adults from the Alzheimer's Disease Neuroimaging Initiative cohort. Cox proportional hazards regression models estimated the relative hazard of progression from CN-to-MCI and MCI-to-AD, among baseline OSA CN and MCI patients, respectively. Multi-level logistic mixed-effects models with random intercept and slope investigated the synergistic associations of self-reported OSA, Aβ, and tau burden with prospective cognitive decline. RESULTS:Independent of TN-status (CN and MCI), OSA+/Aβ+ participants were approximately two to four times more likely to progress to MCI/AD (P < .001) and progressed 6 to 18 months earlier (P < .001), compared to other participants combined (ie, OSA+/Aβ-, OSA-/Aβ+, and OSA-/Aβ-). Notably, OSA+/Aβ- versus OSA-/Aβ- (CN and MCI) and OSA+/TN- versus OSA-/TN- (CN) participants showed no difference in the risk and time-to-MCI/AD progression. Mixed effects models demonstrated OSA synergism with Aβ (CN and MCI [β = 1.13, 95% confidence interval (CI), 0.74 to 1.52, and β = 1.18, 95%CI, 0.82 to 1.54]) respectively, and with tau (MCI [β = 1.31, 95% CI, 0.87 to 1.47]), P < .001 for all. DISCUSSION/CONCLUSIONS:OSA acts in synergism with Aβ and with tau, and all three acting together result in synergistic neurodegenerative mechanisms especially as Aβ and tau accumulation becomes increasingly abnormal, thus leading to shorter progression time to MCI/AD in CN and MCI-OSA patients, respectively.

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.

BACKGROUND:Suboptimal sleep, including insufficient/long sleep duration and poor sleep quality, is a risk factor for cardiovascular disease (CVD) common but there is little information among African Americans, a group with a disproportionate CVD burden. The current study examined the association between suboptimal sleep and incident CVD among African Americans. METHODS:This study included 4,522 African Americans without CVD at baseline (2000-2004) of the Jackson Heart Study (JHS). Self-reported sleep duration was defined as very short (<6 h/night), short (6 h/night), recommended (7-8 h/night), and long (≥9 h/night). Participants' self-reported sleep quality was defined as "high" and "low" quality. Suboptimal sleep was defined by low quality sleep and/or insufficient/long sleep duration. Incident CVD was a composite of incident coronary heart disease and stroke. Associations between suboptimal sleep and incident CVD were examined using Cox proportional hazards models over 15 follow-up years with adjustment for predictors of CVD risk and obstructive sleep apnea. RESULTS:Sample mean age was 54 years (SD = 13), 64% female and 66% reported suboptimal sleep. Suboptimal sleep was not associated with incident CVD after covariate adjustment [HR(95% CI) = 1.18(0.97-1.46)]. Long [HR(95%CI) = 1.32(1.02-1.70)] and very short [HR(95% CI) = 1.56(1.06-2.30)] sleep duration were associated with incident CVD relative to recommended sleep duration. Low quality sleep was not associated with incident CVD (p = 0.413). CONCLUSIONS:Long and very short self-reported sleep duration but not self-reported sleep quality were associated with increased hazard of incident CVD.

STUDY OBJECTIVES/OBJECTIVE:In a randomized controlled trial, we compared the effect of the Tailored Approach to Sleep Health Education (TASHE) on obstructive sleep apnea (OSA) self-efficacy among community-dwelling blacks in New York City. METHODS:Study participants were 194 blacks at high risk for OSA based on the Apnea Risk Evaluation System. TASHE intervention was delivered via a Wi-Fi-enabled tablet, programmed to provide online access to culturally and linguistically tailored information designed to address unique barriers to OSA care among blacks. Blacks in the attention-controlled arm received standard sleep information via the National Sleep Foundation website. Blacks in both arms accessed online sleep information for 2 months. Outcomes (OSA health literacy, self-efficacy, knowledge and beliefs and sleep hygiene) were assessed at baseline, at 2 months, and at 6 months. RESULTS:We compared outcomes in both arms based on intention-to-treat analysis using adjusted Generalized Linear Mixed Modeling. TASHE exposure significantly increased OSA self-efficacy (OSA outcome expectation [ß = 0.5, 95% CI: 0.1-0.9] and OSA treatment efficacy [ß = 0.4, 95% CI: 0.0-0.8]) at 2 months, but not at 6 months. Additionally, TASHE exposure improved sleep hygiene at 6 months (ß = 6.7, 95% CI: 2.2-11.3), but not at 2 months. CONCLUSIONS:Community-dwelling blacks exposed to TASHE materials reported increased OSA self-efficacy compared to standard sleep health education. Stakeholder-engaged, theory-based approaches, as demonstrated in the TASHE intervention, can be used successfully to deliver effective sleep health messages. CLINICAL TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov identifier NCT02507089.

BACKGROUND:Clinical trial transparency is important for scientific research and for the good of the general public. Diversity of study samples by race/ethnicity, gender, and age is important to ensure that results are generalizable. Moreover, reporting results might also be necessary to engage racial/ethnic minorities in clinical research. The primary objective of this study was to describe the results of clinical studies conducted for obstructive sleep apnea (OSA) and insomnia, two of the most prevalent sleep disorders. The secondary objective was to identify which factors were associated with voluntarily reporting the results. METHODS:We reviewed ClinicalTrials.gov, the public database of biomedical and behavioral research operated by the United States (U.S.) National Library of Medicine at the National Institutes of Health to ascertain the reports of demographic variables, including race/ethnicity of the studies conducted for OSA and insomnia. Since reporting race/ethnicity was an optional data feature, we searched for publications in PubMed using the unique national clinical trial identification number (NCTID). The national clinical trial identification number is assigned as soon as the trial is registered. The article extraction was conducted by graduate students and supervised by N.J.W. RESULTS:We identified 427 studies on OSA and 404 studies on insomnia. Results were reported for 122 studies. Based on the 122 studies with results that included studies that were terminated (n = 16) and/or completed (n = 105), and one study was listed as "active" but not recruiting. 46.7% studies involved drugs, 30.3% studied a medical device, and 8.2% investigated behavioral interventions. The age range of subjects was 2-99 years of age and 16.4% included an age range of 35-50 years. Twenty-nine studies (23.8%) reported race/ethnicity in ClinicalTrials.gov. Of these, 74% of subjects were white (n = 2,953); 20% black (n = 822); 1% Asian American (n = 40); 2% Hispanic/Latino (n = 77); and 3% of study subjects identified race/ethnicity as "other" (n = 118). With the PubMed search, we found an additional 24 studies that reported race/ethnicity. There was no difference in reports of race/ethnicity between studies for insomnia and studies for OSA. The intervention type labeled as "behavioral" was a significant predictor (odds ratio: 12.49, p-value=< 0.05, confidence interval: 1.002-155.62) for reporting results. CONCLUSION/CONCLUSIONS:The National Institutes of Health has mandated federally funded research include women and minorities and that they are representative of the U.S. POPULATION/METHODS:Though gender was reported, few investigators and study sponsors reported the results of race/ethnicity, which begs the question about trial transparency for the future of sleep research. Presumably, the lack of reporting is related to low enrollment of ethnic/minorities included in these studies. Nonetheless, our key finding warrants increased attention to minority participation in sleep clinical studies and trial transparency.

PURPOSE OF REVIEW/OBJECTIVE:In this current review, we describe the benefits of community-based and "precision and personalized population health" (P3H) approaches to assessing and addressing sleep health problems and sleep-related cardiovascular diseases (CVD) among vulnerable populations such as racial/ethnic minorities, the elderly, and the socioeconomically disadvantaged. RECENT FINDINGS/RESULTS:Very few sleep health programs utilize a community-based or P3H approach, which may account for low estimates of sleep health problems, related CVD outcomes, and inadequate healthcare infrastructure to address sleep-related health outcomes at the community and population level. We describe community-based and P3H approaches and programs as solutions to accurately capture estimates of sleep health and reduce burden of sleep health problems and corollary CVD outcomes at the level of the community and population. Specifically, we describe seven critical steps needed to successfully implement a community-based and P3H approach to address sleep health problems. Community-based and P3H approaches are effective strategies to assessing and addressing sleep health problems and related health conditions.

BACKGROUND:Participation in clinical trials among people of color remains low, compared with white subjects. This protocol describes the development of "Advancing People of Color in Clinical Trials Now!" (ACT Now!), a culturally tailored website designed to influence clinical trial decision making among people of color. OBJECTIVE:This cluster randomized study aims to test the efficacy of a culturally tailored website to increase literacy, self-efficacy, and willingness to enroll in clinical trials among people of color. METHODS:ACT Now! is a randomized trial including 2 groups: (1) intervention group (n=50) with access to the culturally tailored website and (2) control group (n=50) exposed to a standard clinical recruitment website. Clinical trial literacy and willingness to enroll in a clinical trial will be measured before and after exposure to the website corresponding to their assigned group (intervention or control). Surveys will be conducted at baseline and during the 1-month postintervention and 3-month follow-up. Website architecture and wireframing will be informed by the literature and experts in the field. Statistical analysis will be conducted using a two-tailed t test, with 80% power, at .05 alpha level, to increase clinical trial literacy, self-efficacy, and willingness to enroll in clinical trials 3 months post intervention. RESULTS:We will design a culturally tailored website that will provide leverage for community stakeholders to influence clinical trial literacy, self-efficacy, and willingness to enroll in clinical trials among racial and ethnic groups. ACT Now! applies a community-based participatory research approach through the use of a community steering committee (CSC). The CSC provides input during the research study conception, development, implementation, and enrollment. CSC relationships help foster trust among communities of color. ACT Now! has the potential to fill a gap in clinical trial enrollment among people of color through an accessible web-based website. This study was funded in July 2017 and obtained institutional review board approval in spring 2017. As of December 2019, we had enrolled 100 participants. Data analyses are expected to be completed by June 2020, and expected results are to be published in fall 2020. CONCLUSIONS:ACT Now! has the potential to fill an important gap in clinical trial enrollment among people of color through an accessible web-based website. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov NCT03243071; https://clinicaltrials.gov/ct2/show/NCT00102401. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)/UNASSIGNED:DERR1-10.2196/17589.

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.