211 Pandemic-Related Sleep Changes Associated with COVID-Related General, Financial, Food, Housing, Family and Relationship Stress

Introduction

The COVID-19 pandemic has caused widespread disruption and stress for people of all ages and circumstances around the world. This study investigates the relationship between general and specific stressors and various dimensions of sleep health.

Methods

A sample of N=419 US adults completed online surveys about sleep and COVID-19 experiences. Participants were asked whether they experienced increased general, financial, food, housing, family and relationship stress due to the COVID-19 pandemic. They were also asked whether they experienced a more regular schedule, improved sleep, worsened sleep, more early insomnia, more middle-of-the-night insomnia, more daytime sleepiness, and more naps due to the COVID-19 pandemic. Ordinal logistic regressions with sleep change as outcome and stress variable as predictor were adjusted for age, sex, and race/ethnicity.

Results

COVID-19-related general, financial, food, housing, family, and relationship stress were all associated with a decreased likelihood of maintaining a more regular schedule (oOR=0.52-0.67, all p<0.001) and improved sleep (oOR=0.56-0.67, all p<0.001). They were also all associated with a greater likelihood of worsened sleep (oOR=1.48-2.41, all p<0.001), early insomnia (oOR=1.63-1.85, all p<0.001), middle-of-the-night insomnia (oOR=1.40-2.00, all p<0.001), and daytime sleepiness (oOR=1.58-2.07, all p<0.001). Increased napping was also associated with more COVID-related financial, food, and housing stress (oOR=1.33-1.55, all p<0.005).

Conclusion

Regular sleep schedules can be disrupted by stressors directly, or by the anxiety that so often accompanies stress. Stressed individuals may experience increased difficulty falling asleep, or more nighttime arousals, or find themselves waking up earlier than usual, all as a result of ruminating thoughts, stress-induced nightmares, or outside disturbances. Disruption to sleep at night often results in increased daytime sleepiness and fatigue, with a higher chance of napping. This study reports the significant association of some of these with COVID-19 pandemic-related stress. More individuals now find themselves working from home with greater flexibility in their schedules, but this has not necessarily led to better sleep. The impact of the pandemic on various health outcomes as a result of stress is still to be revealed.

Support (if any):

800 Similarities of Sleep Macrostructure in Cognitively Normal Elderly and Patients with Traumatic Brain Injury

Introduction

The stability of sleep architecture and breathing across nights can depend on factors relating to the integrity of the nervous system. Traumatic brain injury (TBI) represents a sudden-onset dysfunction of the nervous system while normal aging is associated with more gradual changes to the nervous system. While normal aging and history of TBI are both associated with sleep complaints, less is known about the stability of sleep physiology variables in these populations. Therefore, the aims of our study are to determine which sleep variables have greater night-to-night stability in separate populations of individuals with TBI and in cognitively normal older individuals.

Methods

All volunteers completed 2 consecutive in-laboratory nocturnal polysomnograms (NPSG). The TBI sample (N=35) comprised 71% women and 26% men (average age of 47.3 years). The cognitively normal older sample (N=78) included 74% women and 25% men (average age of 66.4 years). Descriptive statistics and intra-class correlations (ICCs) were calculated for sleep macrostructure variables (total sleep time (TST), sleep efficiency (SE), arousal index (ArI), rapid eye movement (REM), non-REM 1 & 2 (N1, N2), slow-wave sleep (SWS)), and sleep apnea including stage-specific apneas (i.e., AHI4%, AHI3A).

Results

Among volunteers with TBI, ICCs for sleep architecture variables were: TST (0.68), SE (0.65), ArI (0.92), %SWS (0.77), %REM (0.50), %N1 (0.83), %N2 (0.62). ICC’s for sleep apnea variables were: AHI4% (0.86), AHI3A (0.86), REM AHI4% (0.63), REM AHI3A (0.65). Among cognitively normal older volunteers, ICCs for sleep architecture variables were: TST (0.26), SE (0.29), ArI (0.80), %SWS (0.68), %REM (0.39), %N1 (0.66), %N2 (0.49). ICC’s for sleep apnea variables were: AHI4% (0.91), AHI3A (0.92), REM AHI4% (0.85), REM AHI3A (0.83). All ICCs were statistically significant in both groups, except for %N1 among cognitively normal older volunteers.

Conclusion

In both populations, ICC’s for arousal index were greater than for TST or SE. Likewise, ICC’s were higher in %SWS and %N1 than for %N2 or %REM. Breathing variables were more stable than architecture variables. REM-specific breathing variables showed comparatively less consistency, possibly the product of lower ICC’s for %REM sleep versus other sleep stages.

Support (if any)

5T32HL129953-04, R01AG056682, R01AG066870, R21AG059179, 1RF1NS115268-01, K24HL109156, P30AG059303, P30AG066512, AASM 231-BS-20, R25HL105444

785 Reported Restful Sleep Predicting Emotional Distress: Does Exercise (and its modalities) moderate?

Introduction

Literature shows that exercise moderates the relationship between sleep and emotional distress (ED.) However, it is unclear whether different types of exercise, such as aerobic and strengthening, affect this relationship differently. We investigated the moderating role of two types of exercise (aerobic and strengthening) regarding the relationship between ED and sleep.

Methods

Our analysis was based on data from 2018 National Health Interview Survey (NHIS), a nationally representative study in which 2,814 participants provided all data. Participants were asked 1) “how many days they woke up feeling rested over the past week”, 2) the Kessler 6 scale to determine ED (a score >13 indicates ED), and 3) the average frequency of strengthening or aerobic exercise per week. Logistic regression analyses were performed to determine if the reported days of waking up rested predicted level of ED. We then investigated whether strengthening or aerobic exercise differentially moderated this relationship. Covariates such as age and sex were adjusted in the logistic regression models. Logistic regression analyses were performed to determine if subjective reporting of restful sleep predicted level of ED. We investigated whether strengthening exercise or aerobic exercise differentially moderated this relationship. Covariates such as age and sex were adjusted in the logistic regression models.

Results

On average, participants reported 4.41 restful nights of sleep (SD =2.41), 3.43 strengthening activities (SD = 3.19,) and 8.47 aerobic activities a week (SD=5.91.) We found a significant association between days over the past week reporting waking up feeling rested and ED outcome according to K6, Χ2(1) = -741, p= <.001. The odds ratio signified a decrease of 52% in ED scores for each unit of restful sleep (OR = .48, (95% CI = .33, .65) p=<.001.) In the logistic regression model with moderation, aerobic exercise had a significant moderation effect, Χ2(1) = .03, p=.04, but strengthening exercise did not.

Conclusion

We found that restful sleep predicted reduction in ED scores. Aerobic exercise moderated this relationship, while strengthening exercise did not. Further research should investigate the longitudinal effects of exercise type on the relationship between restful sleep and ED.

Support (if any)

NIH (K07AG052685, R01MD007716, K01HL135452, R01HL152453)

675 COVID-19 Instruction Style (In-Person, Virtual, Hybrid), School Start Times, and Sleep in a Large Nationwide Sample of Adolescents

Introduction

The COVID-19 pandemic significantly disrupted how and when adolescents attended school. This analysis used data from the Nationwide Education and Sleep in TEens During COVID (NESTED) study to examine the association of instructional format (in-person, virtual, hybrid), school start times, and sleep in a large diverse sample of adolescents from across the U.S.

Methods

In October/November 2020, 5346 nationally representative students (grades 6–12, 49.8% female, 30.6% non-White) completed online surveys. For each weekday, participants identified if they attended school in person (IP), online-scheduled synchronous classes (O/S), online-no scheduled classes (asynchronous, O/A), or no school. Students reported school start times for IP or O/S days, and bedtimes (BT) and wake times (WT) for each applicable school type and weekends/no school days (WE). Sleep opportunity (SlpOpp, total sleep time proxy) was calculated from BT and WT. Night-to-night sleep variability was calculated with mean square successive differences.

Results

Significant differences for teens’ sleep across instructional formats were found for all three sleep variables. With scheduled instructional formats (IP and O/S), students reported earlier BT (IP=10:54pm, O/S=11:24pm, O/A=11:36pm, WE=12:30am), earlier WT (IP=6:18am, O/S=7:36am, O/A=8:48am, WE=9:36am), and shorter SlpOpp (IP=7.4h, O/S=8.2h, O/A=9.2h, WE=9.2h). Small differences in BT, but large differences in WT were found, based on school start times, with significantly later wake times associated with later start times. Students also reported later WT on O/S days vs. IP days, even with the same start times. Overall, more students reported obtaining sufficient SlpOpp (>8h) for O/S vs. IP format (IP=40.0%, O/S=58.8%); when school started at/after 8:30am, sufficient SlpOpp was even more common (IP=52.7%, O/S=72.7%). Greater night-to-night variability was found for WT and SlpOpp for students with hybrid schedules with >1 day IP and >1 day online vs virtual schedules (O/S and O/A only), with no differences in BT variability reported between groups.

Conclusion

This large study of diverse adolescents from across the U.S. found scheduled school start times were associated with early wake times and shorter sleep opportunity, with greatest variability for hybrid instruction. Study results may be useful for educators and policy makers who are considering what education will look like post-pandemic.

Support (if any):

213 Eating Patterns Associated with Sleep Duration, Insomnia, Daytime Sleepiness and Overall Sleep Quality at the US-Mexico Border

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 for health among this group.

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

When adjusted for age, sex and immigrant status (model-1), eating patterns were associated with greater insomnia (95%CI:[0.066,1.095];p=0.027), poorer sleep quality (95%CI:[0.170,1.456];p=0.014), sleepiness (95%CI[0.032,1.026];p=0.037), and weekend (but not weekday) sleep duration (95%CI:[-0.031,0.003];p=0.015). Further adjustment for education (model-2) revealed similar significant associations. Additional adjustment for BMI (model-3) revealed a change in daytime sleepiness, where no association was seen (95%CI:[-0.202,0.805];p=0.238). Regarding subscale scores, relationships were generally seen between sleep and both emotional eating and uncontrolled eating, but not cognitive restraint. However, after adjustment for BMI, there was a significant association between cognitive restraint and weekend sleep duration (95%CI:[-0.015,-0.001];p=0.030).

Conclusion

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 terms of uncontrolled eating and emotional eating. This suggests possible mechanisms linking sleep and obesity in Hispanic/Latinos.

Support (if any)

Supported by T32HL007249, R01MD011600, R01DA051321

640 Regular bedtime routines and biological obesity risk among 9-year old children from the Fragile Families Child and Wellbeing Study

Introduction

Obesity rates among Hispanic (26%) and Black (22%) children are considerably higher compared to their white counterparts (14%), which evidence suggests may be attributable to biological, behavioral, and psychosocial factors affecting the family unit. Bio-behavioral factors in the household may affect child health behaviors, including sleep, a known predictor for obesity. Hispanic and Black children report shorter sleep duration, later bedtimes, and are often lacking in bedtime routines, compared to white children. Evidence suggests that early childhood routines are highly predictive of overweight status in children. Herein, we investigate whether bedtime routines are associated with the genetic allele for obesity in a racially diverse sample of children.

Methods

Data for the present analysis emanated from wave 5 (Year 9--2007–2010) cohort of the Fragile Families Child and Wellbeing Study dataset. During home visits, interviews with children’s mother and father during home visits, around the target child’s ninth birthday collected data on home routines and other parent-child relationship and school connectedness topics. Saliva samples were also collected at Year 9 to assess telomere length and DNA methylation levels and changes. The independent variable was regular bedtime routine, and biological variable for fat mass and obesity (rs9939609) was the dependent variable. Adjusted covariates included child’s age and BMI, and parent household income.

Results

Analysis of the final sample of 466 children showed 52% of the children were male and were 9 years old, on average; 35% were White, 46% Black, 20% Hispanic, 4% Asian and 5% other. The median family income was $42,500. The child’s sleep measures captured was ‘children have a regular bedtime routine’ was associated with (β = -0.137, p = 0.01) decrease in the odds of having the genetic allele for obesity.

Conclusion

Regular bedtime routines among 9-year old Black and Hispanic children may be associated with genetic alleles related to fat mass and obesity. Regular bedtime routines could aid in promoting healthy weight in children.

Support (if any)

NIH (T32HL129953, K07AG052685, R01MD007716, R01HL142066, K01HL135452, R01HL152453.

473 Effectiveness of tailored peer-based sleep health education and social support in increasing home-based OSA screening among blacks

Introduction

Our Sleep Disparity Workgroup has investigated several approaches to reducing sleep health disparities. In the METSO trial, we observed phone-delivered sleep education addressing impediments to OSA care among blacks was successful in increasing OSA evaluation. We found in the TASHE trial web-based sleep education significantly increased OSA self-efficacy among blacks. In the present RCT, we examined the role of congruent peer sleep educators and social support (PEERS-ED) in navigating blacks seeking OSA care.

Methods

In the two study arms RCT, we ascertained PEERS-ED’s effectiveness in increasing OSA screening among 317 blacks at OSA risk (intervention=159 and control=158); the average age was 47±12.9 years, 41% were male. OSA risk was assessed with the ARES questionnaire, administered in barbershops, and places of worship. Data also included assessment of beliefs and attitude (DBAS), apnea knowledge (AKT), apnea beliefs (ABS), readiness to change, anxiety, depression, and social support. Participants in the intervention arm received quality-controlled, culturally and linguistically tailored OSA education by trained PEERS during a 6-month period. The present analysis focused on the PEERS-ED effectiveness in increasing physician-recommended home-based OSA screening. Analysis also considered the role of psychosocial factors in adherence to OSA screening. Analyses were performed using the R-studio software.

Results

Results showed no significant differences in baseline demographic and clinical measures contrasting patients in the arms. The adherence rates for OSA screening between the intervention and control arms were 45.9% and 45.6%, respectively. The average DBAS and ABS scores were significantly greater among blacks who had home-based screening (DBAS: 6.0±1.8 vs. 4.9±2.2; p=0.024 and ABS: 77.0±7.1 vs 73.2±7.4; p=0.041). Other measures did not show significant differences between patients who had OSA screening versus those who did not. We observed those who screened were likely to experience greater level of social support (8.23±2.36 vs 7.31±2.35; p=0.063).

Conclusion

Our previous METSO trial demonstrated tailored OSA education is critical to increase adherence to recommended OSA care. While delivery of health information is generally associated with enhanced adherence to medical care, results of the present RCT favored an important role of peer-based social support leading to behavioral change towards receipt of OSA care.

Support (if any)

K07AG052685, R01MD007716, R01HL142066, K01HL135452, R01HL152453

Contribution of pulmonary diseases to COVID-19 mortality in a diverse urban community of New York

We examined the relative contribution of pulmonary diseases (chronic obstructive pulmonary disease, asthma and sleep apnea) to mortality risks associated with Coronavirus Disease (COVID-19) independent of other medical conditions, health risks, and sociodemographic factors. Data were derived from a large US-based case series of patients with COVID-19, captured from a quaternary academic health network covering New York City and Long Island. From March 2 to May 24, 2020, 11,512 patients who were hospitalized were tested for COVID-19, with 4,446 (38.62%) receiving a positive diagnosis for COVID-19. Among those who tested positive, 959 (21.57%) died of COVID-19-related complications at the hospital. Multivariate-adjusted Cox proportional hazards modeling showed mortality risks were strongly associated with greater age (HR = 1.05; 95% CI: 1.04-1.05), ethnic minority (Asians, Non-Hispanic blacks, and Hispanics) (HR = 1.26; 95% CI, 1.10-1.44), low household income (HR = 1.29; 95% CI: 1.11, 1.49), and male sex (HR = 0.85; 95% CI: 0.74, 0.97). Higher mortality risks were also associated with a history of COPD (HR = 1.27; 95% CI: 1.02-1.58), obesity (HR = 1.19; 95% CI: 1.04-1.37), and peripheral artery disease (HR = 1.33; 95% CI: 1.05-1.69). Findings indicate patients with COPD had the highest odds of COVID-19 mortality compared with patients with pre-existing metabolic conditions, such as obesity, diabetes and hypertension. Sociodemographic factors including increased age, male sex, low household income, ethnic minority status were also independently associated with greater mortality risks.

Assessment of Racial/Ethnic Disparities in Hospitalization and Mortality in Patients With COVID-19 in New York City

IMPORTANCE

Black and Hispanic populations have higher rates of coronavirus disease 2019 (COVID-19) hospitalization and mortality than White populations but lower in-hospital case-fatality rates. The extent to which neighborhood characteristics and comorbidity explain these disparities is unclear. Outcomes in Asian American populations have not been explored.

OBJECTIVE

To compare COVID-19 outcomes based on race and ethnicity and assess the association of any disparities with comorbidity and neighborhood characteristics.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study was conducted within the New York University Langone Health system, which includes over 260 outpatient practices and 4 acute care hospitals. All patients within the system's integrated health record who were tested for severe acute respiratory syndrome coronavirus 2 between March 1, 2020, and April 8, 2020, were identified and followed up through May 13, 2020. Data were analyzed in June 2020. Among 11 547 patients tested, outcomes were compared by race and ethnicity and examined against differences by age, sex, body mass index, comorbidity, insurance type, and neighborhood socioeconomic status.

EXPOSURES

Race and ethnicity categorized using self-reported electronic health record data (ie, non-Hispanic White, non-Hispanic Black, Hispanic, Asian, and multiracial/other patients).

MAIN OUTCOMES AND MEASURES

The likelihood of receiving a positive test, hospitalization, and critical illness (defined as a composite of care in the intensive care unit, use of mechanical ventilation, discharge to hospice, or death).

RESULTS

Among 9722 patients (mean [SD] age, 50.7 [17.5] years; 58.8% women), 4843 (49.8%) were positive for COVID-19; 2623 (54.2%) of those were admitted for hospitalization (1047 [39.9%] White, 375 [14.3%] Black, 715 [27.3%] Hispanic, 180 [6.9%] Asian, 207 [7.9%] multiracial/other). In fully adjusted models, Black patients (odds ratio [OR], 1.3; 95% CI, 1.2-1.6) and Hispanic patients (OR, 1.5; 95% CI, 1.3-1.7) were more likely than White patients to test positive. Among those who tested positive, odds of hospitalization were similar among White, Hispanic, and Black patients, but higher among Asian (OR, 1.6, 95% CI, 1.1-2.3) and multiracial patients (OR, 1.4; 95% CI, 1.0-1.9) compared with White patients. Among those hospitalized, Black patients were less likely than White patients to have severe illness (OR, 0.6; 95% CI, 0.4-0.8) and to die or be discharged to hospice (hazard ratio, 0.7; 95% CI, 0.6-0.9).

CONCLUSIONS AND RELEVANCE

In this cohort study of patients in a large health system in New York City, Black and Hispanic patients were more likely, and Asian patients less likely, than White patients to test positive; once hospitalized, Black patients were less likely than White patients to have critical illness or die after adjustment for comorbidity and neighborhood characteristics. This supports the assertion that existing structural determinants pervasive in Black and Hispanic communities may explain the disproportionately higher out-of-hospital deaths due to COVID-19 infections in these populations.

Understanding the Extent of Adolescents' Willingness to Engage With Food and Beverage Companies' Instagram Accounts: Experimental Survey Study

Background

Social media platforms have created a new advertising frontier, yet little is known about the extent to which this interactive form of advertising shapes adolescents’ online relationships with unhealthy food brands.

Objective

We aimed to understand the extent to which adolescents’ preferences for Instagram food ads are shaped by the presence of comments and varying numbers of “likes.” We hypothesized that adolescents would show the highest preferences for ads with more “likes” and comments. We predicted that these differences would be greater among adolescents who were “heavy social media users” (ie, >3 hours daily) vs “light social media users” (ie, <3 hours daily).

Methods

We recruited Black and non-Latinx White adolescents (aged 13-17 years; N=832) from Dynata, a firm that maintains online participant panels. Participants completed an online survey in which they were randomized to view and rate Instagram food ads that either did or did not show comments. Within each condition, adolescents were randomized to view 4 images that had high (>10,000), medium (1000-10,000), or low (<100) numbers of “likes.” Adolescents reported ad preferences and willingness to engage with the brand.

Results

Adolescents rated ads with medium or high numbers of “likes” higher than ads with few “likes” (P=.001 and P=.002, respectively). Heavy social media users (>3 hours/day) were 6.366 times more willing to comment on ads compared to light users (P<.001).

Conclusions

Adolescents interact with brands in ways that mimic interactions with friends on social media, which is concerning when brands promote unhealthy products. Adolescents also preferred ads with many “likes,” demonstrating the power of social norms in shaping behavior. As proposed in 2019, the Children’s Online Privacy and Protection Act should expand online advertising restrictions to include adolescents aged 12 to 16 years.

Increased Metabolic Burden Among Blacks: A Putative Mechanism for Disparate COVID-19 Outcomes

Mounting evidence shows a disproportionate COVID-19 burden among Blacks. Early findings indicate pre-existing metabolic burden (eg, obesity, hypertension and diabetes) as key drivers of COVID-19 severity. Since Blacks exhibit higher prevalence of metabolic burden, we examined the influence of metabolic syndrome on disparate COVID-19 burden. We analyzed data from a NIH-funded study to characterize metabolic burden among Blacks in New York (Metabolic Syndrome Outcome Study). Patients (n=1035) were recruited from outpatient clinics, where clinical and self-report data were obtained. The vast majority of the sample was overweight/obese (90%); diagnosed with hypertension (93%); dyslipidemia (72%); diabetes (61%); and nearly half of them were at risk for sleep apnea (48%). Older Blacks (age≥65 years) were characterized by higher levels of metabolic burden and co-morbidities (eg, heart disease, cancer). In multivariate-adjusted regression analyses, age was a significant (p≤.001) independent predictor of hypertension (OR=1.06; 95% CI: 1.04-1.09), diabetes (OR=1.03; 95% CI: 1.02-1.04), and dyslipidemia (OR=0.98; 95% CI: 0.97-0.99), but not obesity. Our study demonstrates an overwhelmingly high prevalence of the metabolic risk factors related to COVID-19 among Blacks in New York, highlighting disparate metabolic burden among Blacks as a possible mechanism conferring the greater burden of COVID-19 infection and mortality represented in published data.

Differences in Breast and Cervical Cancer Screening Among U.S. Women by Nativity and Family History

INTRODUCTION

System-level factors such as poor access to health services can help explain differential uptake in breast and cervical cancer screening between U.S.- and foreign-born women. However, few studies have explored the roles of family history and perceived risk of these cancers on screening rates. To address these gaps, this study investigates whether a family history of cancer, perceived risk, and system-level factors independently and additively predict differential screening rates of breast and cervical cancer between U.S.-born and foreign-born women living in the U.S.

METHODS

Data were analyzed in 2019 from the 2015 National Health Interview Survey. Descriptive and multivariable logistic regression modeling was performed to test whether there were differences in breast and cervical cancer screening within and between the 2 groups and whether family history of cancer and perceived risk of breast cancer were predictors of uptake.

RESULTS

The sample comprised women aged 21-74 years (n=14,047). The mean age of the sample was 45.5 (SD=14.8 years). The majority of the women were U.S.-born (77.5%). U.S.- and foreign-born women had more mammograms and Pap tests with a usual source of care (p<0.001) and insurance (p<0.001). Healthcare access and utilization factors were also predictive for both groups of women. Data analyses were conducted in 2019.

CONCLUSIONS

These findings are consistent with previous work. Access and healthcare utilization were associated with screening uptake. However, differences in risk perception, family history of breast and cervical cancers, and screening uptake were found between U.S.- and foreign-born women.

What makes people want to make changes to their sleep? Assessment of perceived risks of insufficient sleep as a predictor of intent to improve sleep

OBJECTIVES

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

A cross-sectional study conducted between 2012 and 2014.

SETTING

Data were from the Sleep and Healthy Activity, Diet, Environment, and Socialization (SHADES) study conducted in Philadelphia, PA, and its surrounding regions.

PARTICIPANTS

Participants consisted of N = 1007 community-dwelling adults age 22-60.

MEASUREMENTS

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.

Acculturation Associated with Sleep Duration, Sleep Quality, and Sleep Disorders at the US-Mexico Border

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.

Development of "Advancing People of Color in Clinical Trials Now!": Web-Based Randomized Controlled Trial Protocol

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

ClinicalTrials.gov NCT03243071; https://clinicaltrials.gov/ct2/show/NCT00102401.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/17589.

A Pantheoretical Framework to Optimize Adherence to Healthy Lifestyle Behaviors and Medication Adherence: The Use of Personalized Approaches to Overcome Barriers and Optimize Facilitators to Achieve Adherence

Patient nonadherence to healthy lifestyle behaviors and medical treatments (like medication adherence) accounts for a significant portion of chronic disease burden. Despite the plethora of behavioral interventions to overcome key modifiable/nonmodifiable barriers and enable facilitators to adherence, short- and long-term adherence to healthy lifestyle behaviors and medical treatments is still poor. To optimize adherence, we aimed to provide a novel mobile health solution steeped in precision and personalized population health and a pantheoretical approach that increases the likelihood of adherence. We have described the stages of a pantheoretical approach utilizing tailoring, clustering/profiling, personalizing, and optimizing interventions/strategies to obtain adherence and highlight the minimal engineering needed to build such a solution.

Resilience factors, race/ethnicity and sleep disturbance among diverse older females with hypertension

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.

1212 A Systematic Assessment Of Engagement, Functionality, Aesthetics, Information, And Recommendation Features In Sleep Mobile Applications

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

1062 The Role of Sleep in Sex and Racial/Ethnic Differences in 10-Year CVD Risk in the Sleep Heart Health Study: The Use of Machine-Learnt and Precision Insights to Understand Racial/Ethnic and Sex Differences in Sleep-CVD Disparity

Introduction

The current study investigated whether insufficient sleep (&lt;7 hrs.) explains differences in 10-year CVD risk, using Framingham risk (FRS) and Reynolds risk (RRS) scores, between blacks and whites and characterized risk and protective CVD risk profiles.

Methods

Using the Sleep Heart Health Study (SHHS) (N=6,441) data, we investigated the independent role of insufficient sleep in explaining differences in 10-years CVD between blacks and whites via a proportional odds model of four 10-year CVD risk groups: low (&lt;5%), low-medium (5% to &lt;10%), medium-high (10% to &lt;20%) and high (≥20%), adjusting for age, sex, and apnea-hypopnea index (AHI). We performed two levels of cluster analyses; via hierarchical cluster algorithm with entire sample (Level 1), and latent profiles in the low (protective profiles) and high (risk profiles) CVD risk groups (Level 2) to determine overall CVD risk, and risk and protective CVD profiles.

Results

Blacks had a higher prevalence of smoking behavior, diabetes, mean systolic blood pressure, body mass index, total cholesterol compared to whites. Conversely, whites had a higher mean HDL cholesterol, sleep hours, and sleep efficiency compared to blacks. Men had higher 10-year CVD risk than women. AHI and race/ethnicity-sleep interaction were positively associated, while sleep was negatively associated with FRS and RRS. Across all CVD risk groups, whites who slept less than 5.5 hrs. had a higher CVD risk and those who slept more than 6.5 hrs. had a lower CVD risk compared to blacks. In Level 1 cluster analyses, we found two clusters: Cluster 1 (n= 3233): 6.17 sleep hours, apnea-index 11.84, age 59, SBP 125.43, total cholesterol 209, HDL 51.39, BMI 29.03, and slightly more than 50% female; and Cluster 2 (n=1657): 5.61 sleep hours, apnea-index 13.41, age 74, SBP 131, total cholesterol 204, HDL 50.30, BMI 26.45, and slightly less than 50% female. In Level 2 cluster analyses, we found two profiles within the low and high CVD risk groups.

Conclusion

These findings suggest that blacks may not receive full protection from long-term CVD risk with longer sleep duration, as their white counterparts.

Support

K01HL135452, R01MD007716, R01HL142066, K07AG052685

0406 Daytime Sleepiness in The Community: Implications for Sleep, Circadian, and Physical Health

Introduction

Daytime sleepiness impacts performance and well-being. The present study used validated measures to explore associations of community-level daytime sleepiness with sleep health, preferred sleep phase, physical inactivity, and overall health.

Methods

Data were from the Sleep and Healthy Activity, Diet, Environment, and Socialization (SHADES) study of N=1007 adults age 22-60 from the community. Daytime sleepiness was assessed with the Epworth Sleepiness Scale (ESS). Outcomes of interest included the Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), endorsement of a preference for an advanced or delayed sleep phase on the Sleep Disorders Symptom Check List (SDSCL), STOP-BANG sleep apnea questionnaire score, sedentary time assessed with the International Physical Activity Questionnaire (IPAQ), and the global health item on the SF-12, operationalized as excellent/good or fair/poor health. Through regression analyses, we assessed whether daytime sleepiness was independently associated with several sleep, circadian and physical health outcomes, adjusting for habitual sleep duration and sociodemographic factors like age, sex, education, and race/ethnicity.

Results

Our adjusted models indicate that daytime sleepiness was associated with insomnia (B=0.57; 95%CI: 0.50, 0.65; p&lt;0.0001), sleep quality (B=0.34; 95%CI: 0.29, 0.39; p&lt;0.0001), advanced sleep phase (OR=1.06; 95%CI: 1.03, 1.09; p&lt;0.0001), delayed sleep phase (OR=1.05; 95%CI: 1.02, 1.07; p=0.0003), STOP-BANG score (B=0.08; 95%CI: 0.07, 0.10; p&lt;0.0001), sedentary minutes (B=6.12; 95%CI: 2.77, 9.47; p=0.0004), and overall poor health (OR=1.10; 95%CI: 1.07, 1.13; p&lt;0.0001). After additional adjustment for habitual sleep duration, all relationships were maintained.

Conclusion

Daytime sleepiness is associated with more severe insomnia, preference for advanced or delayed sleep timing, worse sleep quality, and greater risk of sleep apnea. Moreover, daytime sleepiness was associated with greater sedentary time and worse overall health. Since these relationships are independent of sleep duration, they likely do not reflect an effect of sleep deprivation.

Support

This work was supported by a grant from Jazz Pharmaceuticals. The SHADES study was funded by R21ES022931. Dr. Grandner is supported by R01MD011600.

1058 Modeling Self-reported Sleep Duration And Hypertension Using Deep Learning Network: Analysis Of The National Health And Nutrition Examination Survey Data

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% &lt; 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.

1102 Relationship Between Emotional Distress And Sleep Duration Among Hispanics Using The 2018 National Health Interview Survey Dataset

Introduction

Although Hispanics experience a high level of shorter sleep duration (&lt; 7 hrs./24 period), a clear mechanism or cause is lacking. Previous research indicate that emotional distress may explain the burden of shorter sleep among blacks. Applying these findings to Hispanics, we investigated whether emotional distress explains the burden of short sleep duration (&lt; 7 hrs.) among Hispanics and if this relationship varies by sex

Methods

We used data from the 2018 National Health Interview Survey (NHIS) dataset, a nationally representative sample, in which only Hispanic ethnicity participants (N=3,091) were analyzed. Average sleep duration was self-reported and measured in hours. Emotional distress was measured using Kessler 6, which measures how an individual felt over the past 30 days: nervous, hopeless, restless/fidgety, depressed, effortful and worthless. To assess the association between short sleep duration and emotional distress, we performed Pearson correlation, hierarchical regression analyses, and stratified this relationship by sex to determine if this relationship differed between males and females, adjusting for covariates.

Results

Of the total sample of 3,091 Hispanics, 1,762 were female, and 1,329 were male. Sleep duration and emotional distress were negatively correlated among females (r = -.27, p &lt;.001) and males (r=-.18, p &lt;.001). Among Hispanic females, sleep duration significantly predicted emotional distress, β = -.27, t = -11.60, p &lt;.001, and explained a significant portion of variance in emotional distress, R2 = .07, F= 134.63, p &lt;.001. While, among Hispanic males, sleep significantly predicted emotional distress (β = -.18, t =-6.5, p &lt;.001) and explained a significant portion of the variance in emotional distress (R2 = .03, F= 42.37, p &lt;.001).

Conclusion

Our findings indicate that a negative sleep-ED relationship, suggesting that shorter sleep was predictive of higher levels of emotional distress among Hispanics and that this relationship is greater among Hispanic females, compared males.

Support

K01HL135452, R01MD007716, R01HL142066, and K07AG052685

1113 Physical Activity Moderates The Sleep-emotional Distress Relationship, But Less So Among Blacks Vs. Whites

Introduction

Emotional distress (ED) is associated with poor sleep. Research shows that minority populations experience greater vulnerabilities to both ED and poor sleep. Interventions such as relaxation training and behavioral therapy address this relationship but are not always successful. Research shows that physical activity (PA) is negatively associated with ED and positively associated with sleep duration. However, it is unclear whether PA attenuates the relationship between ED and sleep, and if this relationship differs by race/ethnicity.

Methods

We analyzed data from the 2005-2015 National Health Interview Survey (NHIS), a nationally representative dataset of 416,152 participants. ED, hours of PA per day, and average sleep duration were collected. Regression models with covariates (age, sex, employment status, BMI) were used to analyze the moderation effect of PA within sleep and ED. Regression models were stratified by race/ethnicity.

Results

261,686 participants (45,926 blacks, 17.55%, and 215,760 whites, 82.45%) responded with the required variables for analysis. 63% of participants reported at least some physical activity. The results of the regression showed that a significant amount of variance in ED stemmed from sleep duration; F (7, 121088) = 1,619.72, p &lt; 0.001. PA was found to have a significant main effect, t(121,088) = 9.01, p= &lt;0.001. There was a significant moderation effect of PA, t(121088) =7.26, p &lt; 0.001. Stratification showed that the moderation effect of PA was not significant among blacks t(121,088) = -1.45, p=0.149 and significant among whites b = -.08, t(101,754) = -7.82, p &lt; 0.001.

Conclusion

The present study found support for moderation of PA in the sleep-ED relationship. However, it found that blacks do not experience the same benefits of PA in this relationship as whites. Further research should be performed to understand the connection of PA to sleep duration and ED.

Support

This study was supported by funding from the NIH: R01MD007716, R01HL142066, R01AG056531, K01HL135452, and K07AG052685

0013 Mobile Device Use in Bed and Relationships to Work Productivity: Impact of Anxiety

Introduction

Mobile phone use at night is associated with worse sleep quality. It may also be associated with daytime productivity, possibly via anxiety.

Methods

Data were obtained from the Sleep and Healthy Activity, Diet, Environment, and Socialization (SHADES) study, including N=1007 adults age 22–60. Mobile device use in bed was assessed as the frequency that participants reported: a device in the bedroom, use of the device in bed, texting, emails, internet browsing, calls, and/or social networking in bed, being woken up by the device in a planned (alarm) or unplanned (alert/call/message) way, and checking the phone at night. Each of these were coded as “never,” “rarely,” or “often.” Work productivity was assessed with the Well-Being Assessment of Productivity (WBA-P; scores 0–22 measure productivity loss). Regressions with WBA-P score as outcome and mobile phone variables as predictors were adjusted for age, sex, race/ethnicity, education, and income level. Post-hoc analyses included GAD7 score to examine the mediating role of anxiety.

Results

The presence of a device was not associated with productivity loss, but frequent use (“often”) was (B=1.26,p=0.01). Increased productivity loss was also seen in those who frequently (“often”) sent texts (B=1.20,p=0.008), browsed internet (B=1.14,p=0.01), emailed (B=2.09,p&lt;0.0005), called (B=1.42,p=0.004), and used social media (B=1.26,p=0.004). Productivity loss was associated with being woken by a call/alert “rarely” (B=1.20,p=0.001) or “often” (B=1.72,p=0.005), but not by alarm. Checking the phone at night “rarely” (B=0.89,p=0.01) and “often” (B=1.73,p&lt;0.0005) were also associated with productivity loss. When anxiety was entered into the model, all relationships except those with frequent emails and calls in bed became nonsignificant.

Conclusion

Anxiety may be the underlying cause for both increased mobile phone usage and reduced productivity. Reducing anxiety levels may indirectly aid in decreasing nighttime mobile phone use and increasing daytime productivity.

Support

The SHADES study was funded by R21ES022931

Dr. Grandner is supported by R01MD011600

1189 Recruiting, Training, And Implementing Sleep Health Educators In Community-based Research To Improve Sleep Health

Introduction

Adherence to OSA assessment and treatment is low among racial/ethnic minorities, particularly among blacks. Navigating patients along the continuum of care from assessment to treatment adherence requires motivation, social support, and self-efficacy. Previous studies indicate that community health educators can provide motivation, social support, and skills to patients to better navigate the complex OSA care continuum. However, recruiting, training, and implementing sleep health educators in clinical or research settings is complex. For the current study, we describe how we recruit, train, and implement sleep health educators in research and clinical settings and assess what makes a sleep health educator successful.

Methods

We recruited and trained twenty-five self-identified black sleep health educators for a randomized clinical trial (R01MD007716) focused on increasing OSA assessment and treatment adherence among blacks. During recruitment, we assessed key personality attributes that translate to being an effective sleep health educator, via behavioral and personality surveys, focused groups, and process forms filled out by educators. Sleep health educators underwent an 8-week training program on sleep health and motivational interviewing. In order to be certified, sleep health educators had to pass a written and scenario-based assessment. During the implementation phase of the trial, we assessed how many interviews each health educator conducted and whether individual characteristics were related to how many interviews.

Results

Of the trained educators, 80% were female, ranging from 25 to 58 years old. They all completed at least high school. All educators rated the program highly and were very satisfied with dispensing tailored sleep health education. Educators who displayed the highest knowledge about sleep health, provided frequent emotional and strategic support, committed to helping their assigned participants, and who rated their rapport highly with their assigned participants were most effective in getting their participant to adhere to OSA assessment and treatment.

Conclusion

Sleep health educators can be vital to increasing OSA assessment and treatment adherence among blacks. In order to ensure success, sleep health educators must undergo a thorough recruitment, training, and implementation and dissemination process.

Support

K01HL135452, R01MD007716, R01HL142066, K01HL135452,and K07AG052685