bluuebunny/crossref_metadata_2025_split huggingface dataset:
0256 Discrimination's Relationship with Sleep Environments Assessment in the Sunshine State vs the Empire State of Mind
Authors: Blanc Judite , Oliveira Bruno , Moise Rhoda , Rogers April , Elvariste Stessie , Locklear Clarence , Seixas Azizi , Jean-Louis Girardin 
Published: April 2024

Abstract

Introduction
This study investigates the relationship between everyday discrimination and objective and subjective assessment of sleep environments in a sample of Florida and New York residents.

Methods
Our sample included 745 Black and African American individuals participating in NIH-funded community-based sleep studies conducted between January 2020 and November 2023 in the New York City or Tri-State area and South Florida. Data encompassed demographics, zip code-based noise levels, overall air quality (IQAir), seven-day sleep-wake activities (Sleep Image Ring, and Actigraphy), Everyday Discrimination Scale (EDDS), and responses to the 13-item Assessment of Sleep Environment (ASE), measuring subjective experiences of environmental factors. Correlation analyses explored associations among continuous variables, ASE, noise scores, air quality, sleep-wake activities, and discrimination scores. Stratified multilinear regression analysis by state (Florida vs. NY), controlling for age and sex, examined relationships between sociodemographic factors, air quality, discrimination experiences, and ASE.

Results
Of the 745 participants, 57% were female (424), with a mean age of 47.8 years. A total of 27% (201) resided in New York, while 72.8% (542) were from South Florida. Participants in Florida were exposed to higher levels of Noise (t = 6.097, df = 513, p &lt; 0.001), daily discrimination (t = -2.036, df = 741, p = 0.021), and perceived negative stimuli (t = 5.512, df = 741, p &lt; 0.001) in their physical sleep environment compared to those in New York. No significant or strong association was found between objectively measured sleep health components and ASE or discrimination. Controlling for sex, age, and noise levels, among Florida residents, air quality (Beta = -0.332, p &lt; 0.001) and discrimination (Beta = 0.331, p &lt; 0.001) were the strongest independent predictors of ASE. In contrast, in NY participants, age (Beta = -0.274, p &lt; 0.001) and air quality (Beta = 0.451, p = 0.049) were the strongest independent predictors of ASE.

Conclusion
Our analysis unveiled distinct patterns in exposure to discrimination and sleep environment assessment between Florida and New York, underscoring the importance of addressing the impact of discrimination on sleep and environmental assessment in policy and health outcomes.

Support (if any)
ESSENTIALS; R01HL142066-06; MOSAIC; R01AG067523-05.
0258 Intersectional Discrimination: An Approach to Understanding Insomnia Symptoms in Minoritized Populations
Authors: Lane Rashon , Varma Prerna , Barger Laura , Howard Mark ` , Rajaratnam Shantha M W , Czeisler Charles 
Published: April 2024

Abstract

Introduction
Minoritized groups in the United States experience discrimination that impacts their physical and mental well-being. People with multiple minoritized identities, such as being a racial/ethnic minority or sexual minority, often experience worsened health outcomes due to the intersectional nature of discrimination. The insidious nature of structural racism, classism, and genderism serves as a root cause of chronic disease disparities, including insomnia. This study aims to test the association of intersectional discrimination and symptoms of insomnia among minoritized populations with multiple marginalized identities.

Methods
In August 2022, US adults aged &gt;18 years completed internet-based surveys. Demographic quota sampling was used to make the sample representative of the US 2020 population by age, sex, and race/ethnicity. Respondents answered questions assessing intersectional discrimination using the intersectional discrimination index (InDI). The InDi captures measures of three forms of discrimination: anticipated, everyday, and major. Symptoms of insomnia were measured via the Sleep Condition Indicator. Descriptive and logistic regression analyses were performed.

Results
Among respondents (n= 4,966), insomnia symptoms were more prevalent among women (21.3%) vs men (14.0%), among those who identified as multi-racial or other (24.5%) vs other racial and ethnic groups (Asian/Pacific Islander, 10.4%; non-Hispanic Black 12.1%; Hispanic 17.9%; and non-Hispanic White, 18.5%. Across all three subscales of the InDI (e.g., anticipated, every day, and major discrimination), intersectional discrimination was a better predictor for insomnia than those without InDi. Across race-by-gender interactions, individuals who are both racial/ethnic and gender minorities did not endorse higher symptoms of insomnia. Individuals who are other/multi race and a sexual minoritized group (e.g. non-heterosexual) OR= 1.7 (C.I. 0.68-2.02) and experienced discrimination were likely to endorse symptoms of insomnia.

Conclusion
In this study individuals who reported any form of discrimination were more likely to report symptoms of insomnia. While race or sex alone (except among Asian American/Pacific Islanders) are not predictors of insomnia, experiences of discrimination do predict insomnia. Individuals who are sexual minorities and of other racial minority groups might endorse high symptoms of insomnia. This study suggests that more research is needed to understand the unique role of how discrimination might increase insomnia for persons who sit at the margins of oppression.

Support (if any)
0259 Sleep Duration Associated with Perceived Racial Discrimination: Data from 25 US States
Authors: Rasmussen Elizabeth , Valencia Dora , Killgore William , Grandner Michael 
Published: April 2024

Abstract

Introduction
Previous studies have shown sleep duration associated with racism, but few studies have examined population-level data and how these relationships differentiate across race/ethnicity groups.

Methods
Data from the 2022 Behavioral Risk Factor Surveillance System (BRFSS) was used. The BRFSS is a state-based population survey conducted annually by the CDC. In 2022, 25 states collected data on perceived discrimination (N=144.267), which was assessed with the question: “Within the past 12 months, do you feel that in general you were treated worse than, the same as, or better than people of other races?” As well as the same question regarding treatment at work and when seeking healthcare, and whether individuals experienced physical symptoms due to race-based treatment. Response options were Same (reference), Better, or Worse. Habitual sleep duration was categorized as &lt;=4h, 5h, 6h, 7h (reference), 8h, 9h, and 10+h. Sleep-by-race/ethnicity interactions were explored. Models were adjusted for age, sex, education, and depression, and were population-weighted.

Results
Decreased likelihood of perceived better treatment was associated with &lt;=4h, 5h, 6h, and 8h, increased likelihood of worse treatment was associated with &lt;=4h, 5h, and 6h, and decreased likelihood was associated with 8h and 9h. Sleep-by-race/ethnicity interaction was significant (p&lt; 0.0001). In stratified analyses, among Non-Hispanic Whites, insufficient and excessive sleep were both associated with perceived racism. Among Blacks/African-Americans, longer sleep duration was associated with perceived better treatment and insufficient sleep was associated with worse treatment. Among Hispanics/Latinos, 9h sleep was associated with perceived better treatment, but insufficient sleep was associated with worse treatment. Among Asians, worse treatment was associated with 10+h only. Among American Indians/Alaskan Natives, worse treatment was associated with all categories of insufficient sleep. Similar sleep-by-race/ethnicity interactions were found for treatment in work (p&lt; 0.0001) and healthcare settings (p&lt; 0.0001). Although no sleep-by-race/ethnicity interaction was found, physical symptoms due to treatment based on race was associated with &lt;=4h (OR=2.28), 5h (OR=1.93), and 6h (OR=1.27).

Conclusion
Insufficient (and in some cases excessive) sleep duration is associated with increased perceived discrimination across groups and settings, though groups differ in terms of degree of impact. Insufficient sleep is also associated with increased physical symptoms due to racism.

Support (if any)
0263 Food Insecurity After Job Loss Is Associated with Lower Multidimensional Sleep Health over Time
Authors: Miller Hannah , Fnu Nupur , Haynes Patricia 
Published: April 2024

Abstract

Introduction
About 35 million people live in food insecure households creating substantial public health burden. While prior research supports the relationship between food insecurity and disturbed/curtailed sleep, most studies have employed cross-sectional designs and relied on surveys. This project sought to examine the longitudinal relationship between food insecurity and multidimensional sleep health in a group of individuals highly vulnerable to financial strain, participants with a recent history of involuntary job loss.

Methods
The ADAPT study is an observational, longitudinal study that assessed the negative health effects of involuntary job loss over the course of approximately 18 months (6 visits). A multidimensional sleep health composite (Ru-SATED) was calculated using raw actigraphy data, a daily sleep diary, and a sleep interview. Participants were classified as food insecure if they reported a score of 2-6 on the Household Food Security Scale within the first six months of job loss (first 2 visits).

Results
With robust control for socioeconomic status, food insecurity was associated with worse multidimensional sleep health across all timepoints (Estimate = -.43, SE = .18, 95% CI [-0.78, -0.08]). Food insecurity was associated with poor sleep quality (sleep diary; p &lt; .01), worse sleep efficiency (actigraphy; p &lt; .01), and later sleep timing (actigraphy; p &lt; .05). Food insecurity was not associated with sleep duration (actigraphy) or sleep regularity (actigraphy).

Conclusion
Results suggest that individuals experiencing food insecurity six months after job loss had worse multidimensional sleep health that sustained over time. These findings extend the negative impact of food insecurity on self-reported sleep indices to multidimensional sleep health that incorporates subjective, objective, and interview measures. Future research is needed to assess whether increased accessibility to food after job loss could improve sleep health along with other health risks in this vulnerable population.

Support (if any)
This work is supported by the US National Institute of Health, National Heart, Lung, and Blood Institute (NHLBI,1R01HL117995-01A1).
0266 Sleep Attitudes in Adolescents: Demographic Differences and Associations with Sleep Health
Authors: Alvarado Giovanni , Palmer Cara 
Published: April 2024

Abstract

Introduction
Between 70-90% of teenagers in the United States sleep fewer than the minimum recommendation of 8 hours per night, which can result in a number of downstream physical and psychological consequences. Prior studies show there are individual differences in how adults prioritize and think about the benefits of adequate sleep, which in turn predicts sleep behaviors and sleep health. However, research is lacking on sleep attitudes in adolescents and how these attitudes may relate to sleep behaviors.

Methods
Participants included 649 adolescents from across the United States (ages 13-18 years; 79.7% female; 45.2% white) who completed an online survey to assess sociodemographics, sleep attitudes using the Charlotte Attitudes Towards Sleep Scale, and their sleep using the Pittsburgh Sleep Quality Index, Sleep Timing Questionnaire, and the Adolescent Sleep Hygiene Scale.

Results
Non-white participants were more likely to report more positive sleep attitudes compared to white participants (t(414) = -2.18, p = .03). A series of regression models were conducted to examine whether sleep attitudes predicted sleep, while adjusting for sociodemographics (age, gender, race/ethnicity, SES). Adolescents who reported more positive attitudes towards sleep also reported longer sleep duration (β = -.47, SE = .06, p &lt; .001), better sleep quality (β = -.36, SE = .2, p &lt; .001 ), shorter sleep onset latency (β = -.22, SE = .06, p &lt; .001 ), earlier weekday (β = -.33, SE = 364.67, p &lt; .001 ) and weekend (β = -.33, SE = 348.87, p &lt; .001) bedtimes, and better sleep hygiene (β = .26, SE = .03, p &lt; .001). There were no significant differences in sleep attitudes based on race, ethnicity, gender, or SES when adjusting for other demographic characteristics.

Conclusion
This study fills an important gap in the research on adolescent sleep by examining how sleep attitudes may contribute to sleep health. Prior research on health attitudes suggest that attitudes are modifiable, and findings from this study advance research on adolescent sleep and suggests that sleep attitudes may be an important target to minimize sleep health difficulties when developing and adapting sleep interventions.

Support (if any)
0267 ROTC Cadets’ Sleep Quality Varies as a Function of Prior Stressful Experiences
Authors: Krslovic Kristian , Huang Kathleen , Paulus Erin , Jones Rachell , Sowden Walter 
Published: April 2024

Abstract

Introduction
Sleep difficulties and stress are common among U.S. Army Soldiers – especially among those who have been exposed to traumatic events. In the short term, elevated stress can reduce sleep quality, alter circadian rhythms, and disrupt normal metabolism and endocrine functions. Because ROTC cadets are new to the Army, their level of exposure to operationally stressful experiences is relatively low. Understanding the extent to which stress impacts sleep at this point in their military careers can help ROTC cadets be better prepared for later exposure to stressors in military operational contexts. In the present study, the impact of stress on sleep quality of ROTC cadets was investigated.

Methods
Participants included 519 ROTC cadets at the annual Cadet Summer Training Advanced camp with a mean age of 22.24 ± 2.788 years (M ± SD). Participants completed the Pittsburgh Sleep Quality Index (PSQI), with scores ranging from “1” (good) to “4” (bad). They also completed the Post Traumatic Stress Disorder Checklist – Military Version; PCL-4, which measures prior exposure to stressful life events. This version of the PCL includes only four questions, with responses indicated on a 30-point rating scale, with “1” connoting less stressful and “30” connoting more stressful life events.

Results
Cadets’ self-reported sleep quality scores averaged 2.1 ± .618 (M ± SD). Cadets reported an average PCL-4 score of 5.58 ± 2.606 (M ± SD). Quality of sleep and stressful life events were significantly negatively correlated, r = -.303, p &lt; .01.

Conclusion
Greater prior exposure to stressful life events is associated with poorer subjective sleep quality. Cadet training is intense and stressful. Early identification of those cadets who are especially susceptible to stress-induced sleep disturbance is a necessary first step toward development of targeted interventions to improve the performance, health, and likelihood of success of such individuals during military training.

Support (if any)
Support for this study came from the Military Operational Medicine Research Program (MOMRP) of the United States Army Medical search and Development Command (USAMRDC).
0269 Associations Between Sleep-Related Impairment and Anxiety Levels Among the Latino/a Population in Florida
Authors: Garchitorena Laurent , Coppello Matthew , Carrasco Mary , Scaramutti Carolina , Palencia Israel , Grandner Michael , Osorio Ricardo , Thawani Sujata , Ramos Alberto , Blanc Judite , Chung Debbie , Jean-Louis Girardin , Seixas Azizi , Briggs Anthony 
Published: April 2024

Abstract

Introduction
In the Hispanic community, sleep impairment and the prevalence of anxiety represent pressing concerns. Sleep quality and patterns can be significantly affected by anxiety-related symptoms and disorders. Conversely, insufficient or disrupted sleep can worsen anxiety symptoms, creating a complex interplay. While chronic sleep disorders affect a substantial portion of the American population, including Hispanics, research addressing these complex issues within this specific demographic remains limited. This study seeks to illuminate the relationship between anxiety and sleep impairment among Hispanics in Florida, aiming to provide valuable insights into these critical health aspects.

Methods
Data were collected from the NIH-funded study DORMIR. DORMIR is a remote health monitoring study designed to identify behavioral, genetic, psychosocial, and environmental factors linked to insufficient sleep and their relationship to cardiovascular health within the Latino/a population. Latino/a adults 18+ years old (N=317, 67.8% female, ages 37.9±15.0 years) completed several surveys including the PROMIS Sleep Related Impairment (SRI) and PROMIS Emotional Distress - Anxiety measures. Linear regression analysis was performed with age, sex, income, and body mass index (BMI) as covariates to determine the impact of anxiety on sleep-related impairment.

Results
The average SRI score was 8.34±3.63, while the mean Emotional Distress - Anxiety score was 18.0±7.46. Anxiety [F (5,311) = 15.6, β1=0.366, p &lt; 0.001], income [F (5,311) = 15.6, β1= - 0.165], p=0.003], and BMI [F (5,311) = 15.6, β1=0.113, p =0.030] all independently predicted sleep-related impairment, while adjusting for covariates. Anxiety levels and BMI scores were positively associated with sleep-related impairment, while income was negatively associated with sleep-related impairment among Latino/a adults.

Conclusion
This study shows that higher levels of anxiety, increased BMI scores, and lower income are linked to increased sleep impairment in Latino/a individuals. Additional research is required to examine whether external factors may act as confounding variables in this correlation. Such investigations would enable the development of tailored solutions aimed at mitigating both poor sleep health and emotional distress. These findings underscore the critical need for targeted interventions to address the impact of poor sleep on the health of the Latino/a population.

Support (if any)
5R01HL152453
0270 Racial/Ethnic Sleep Health Related to Mental Health: Data from the National Sleep Foundation Sleep in America Poll
Authors: Schickner Arden , Kennedy Kathryn , Killgore William , Dzierzewski Joseph , Grandner Michael 
Published: April 2024

Abstract

Introduction
Sleep disparities are well-documented in the population. Rarely are multiple dimensions of sleep experience evaluated on a national level, however. Even more novel is the implication that these differences are partially explained by mental health disparities.

Methods
Data from the Sleep In America Poll included a population-level sample of US adults. N=1042 adults provided complete data. Sleep health metrics included weekday and weekend bedtime and waketime, time in bed, and sleep duration, perceived sleep need, sleep debt (sleep need – duration), and days/week of: feeling well-rested, difficulty falling asleep, difficulty staying asleep, sleep impacting daytime function, daytime sleepiness, and taking sleep medication. Covariates included age, sex, education, household income, and PHQ9 depression score (without the sleep item). Linear regression analyses examined sleep variable as dependent variable and race/ethnicity (Non-Hispanic White, Black/African-American, Hispanic/Latino or Asian/Other) as independent variable, adjusted for covariates. Secondary analyses examined race/ethnicity-by-depression interactions.

Results
In population-weighted, adjusted analyses, compared to non-Hispanic Whites, Blacks/African-Americans reported 0.78hr delayed weekend waketime (95%CI: 0.14,1.43) an additional 0.49 days/week of daytime sleepiness (95%CI: 0.05,0.93), 0.47 fewer days/week taking sleeping medications (95%CI: -0.80,-0.14), 0.41hr perceived sleep need (95%CI: -0.74,-0.10), and 0.51hr weekday less sleep duration (95%CI: -0.87,-0.15). Hispanics/Latinos reported 1.05 days/week difficulty staying asleep (95%CI: -1.42,-0.67) and 0.38 fewer days/week taking sleep medications (95%CI: -0.70,-0.07). Asians/others reported 0.73 fewer days/week with trouble staying asleep (95%CI: -1.26,-0.19) and 0.51 fewer days/week taking sleep medications. Significant group-by-depression interactions were seen for weekday and weekend bedtime, weekday time in bed, days/week well rested, perceived sleep need, weekday sleep duration, and sleep debt. Stratified analyses showed that Blacks/African Americans and Asians/Others especially reported worse sleep health in the presence of higher depression scores, compared to Non-Hispanic Whites.

Conclusion
Several dimensions of sleep health were disproportionately experienced across race/ethnicity groups in the US. In particular, worse sleep health in Blacks/African-Americans and Asians/Others was further impacted by depression symptoms. Future work should further explore the role of mental health disparities in sleep health and mental health interventions may reduce sleep disparities.

Support (if any)
0278 Sexual Dimorphisms in Sleep-disordered Breathing of C57BL/6J Mice
Authors: Kim Lenise , Pham Luu , Polotsky Vsevolod 
Published: April 2024

Abstract

Introduction
Differences in sleep-disordered breathing (SDB) between biological sexes have been extensively reported. Prevalence of SDB is increased in men, but women appear to be more symptomatic at lower SDB severity, exhibiting more daytime sleepiness and insomnia symptoms. However, the mechanisms associated with sex differences in SDB remain unclear. We examined the differences in the sleep architecture and breathing during sleep between male and female mice with the same genetic background. We also analyzed whether ovariectomy abolishes the sex differences in SDB. We hypothesized that differences in sleep and SDB between male and female mice are attributed to different chemoreflex responses to carbon dioxide (CO2).

Methods
Mice were instrumented with EEG/EMG electrodes. Full-polysomnographies were performed in 16 males and 18 females C57BL/6J mice inside a whole-body plethysmography chamber. Poincaré plots of minute ventilation were used to assessed breathing stability during sleep. Mice were exposed to acute episodes of hypercapnia (8% CO2) and hypoxia (10% O2 + 3% CO2) during wakefulness and NREM sleep to measure the hypercapnic ventilatory response (HCVR) and hypoxic ventilatory response (HVR), respectively. Females underwent bilateral ovariectomy and the studies were repeated after 2 weeks.

Results
Sleep fragmentation was 55% increased in female mice compared to males. Unexpectedly, apnea index and breathing instability during sleep were significantly higher in female mice compared to males. HVR was similar between sexes. CO2 sensitivity positively correlated with apnea index (r=0.55, P=0.05). HCVR was significantly augmented in females during wakefulness and NREM sleep, which was attenuated by ovariectomy.

Conclusion
Our findings have shown different phenotypes of SDB between sexes in C57BL/6J mice. SDB in female mice is associated with a hyperarousal state and augmented CO2 sensitivity, which could be related to ovarian hormones.

Support (if any)
American Heart Association Postdoctoral Fellowship Award 828142 (to L.J.K.), NHLBI grant 2R01 HL133100-05, NIH R01 HL128970, and R01 HL13892 (to V.Y.P.), 1K23HL155730 and American Academy of Sleep Medicine Foundation 238-BS-20 (to L.V.P.)