scholarly journals 0226 Sleep Duration and Symptoms Associated with Race/Ethnicity in Elite Collegiate Athletes

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A87-A88
Author(s):  
T Ramsey ◽  
A Athey ◽  
A Auerbach ◽  
R Turner ◽  
N Williams ◽  
...  
Keyword(s):  
General Population ◽  
Sleep Duration ◽  
American Indians ◽  
Collegiate Athletes ◽  
Early Morning ◽  
Depression Score ◽  
Sleep Paralysis ◽  
Falling Asleep ◽  
Wide Range ◽  
Race Ethnicity

Abstract Introduction Previous studies have documented sleep disparities in the general population. Given the increased interest in sleep among athletes, and the degree to which demographics and schedules among athletes differ from the general population, this analysis aims to examine the relationship between race/ethnicity and sleep duration and symptoms among elite college athletes. Methods Data were obtained from N=189 Division-1 collegiate athletes across a wide range of sports played. Race/ethnicity was self-reported and categorized as Non-Hispanic White, Black/African-American, Hispanic/Latino, Asian, and American Indian/Alaskan Native. Outcomes of interest included self-reported typical sleep duration (in hours), CESD depression score, and frequency of sleep symptoms, assessed using items from the Sleep Disorders Symptom Check List (difficulty falling asleep, difficulty staying asleep, early morning awakenings, tiredness, sleepiness, loud snoring, choking/gasping, fragmentation, hypnogogic/pompic hallucinations, sleep paralysis, and nightmares). Sleep duration and depression were evaluated with linear regression, and symptoms were evaluated as ordinal. Covariates included age and sex. Results Compared to Non-Hispanic Whites, Blacks/African-Americans reported less sleep (B=-0.80, p<0.0005), more depression (B=2.85, p=0.046), more difficulty maintaining sleep (oOR=2.12, p=0.034), early morning awakenings (oOR=3.15, p=0.001), and sleepiness (oOR=2.11, p=0.048); Hispanic/Latinos reported more hypnogogic/pompic hallucinations (oOR=2.90, p=0.007), sleep paralysis (oOR=2.72, p=0.026), and nightmares (oOR=2.22, p=0.035); Asians reported more depression (B=4.46, p=0.028), sleepiness (oOR=5.06, p=0.003), loud snoring (oOR=4.71, p=0.018), and sleep paralysis (oOR=3.57, p=0.031); and American Indians/Alaskan Natives reported less sleep (B=-1.00, p=0.018). Conclusion Racial/ethnic differences in sleep duration and sleep symptoms were seen among athletes. Future studies will be needed to replicate and further explain these findings. Support The REST study was funded by an NCAA Innovations grant. Dr. Grandner is supported by R01MD011600

scholarly journals 0374 Decline in Habitual Sleep Duration Over 10 Years and Worsening Sleep Disparities: Data From NHIS (2006-2015)

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A143-A143
Author(s):  
M A Grandner ◽  
F Fernandez ◽  
S Khader ◽  
G Jean-Louis ◽  
A A Seixas ◽  
...  
Keyword(s):  
African Americans ◽  
Sleep Duration ◽  
American Indians ◽  
Mexican Americans ◽  
Linear Trend ◽  
Linear Change ◽  
Linear Predictor ◽  
Interaction Terms ◽  
Race Ethnicity ◽  
Few Data

Abstract Introduction Despite claims in the media, evidence that habitual sleep has declined in recent years is scant. Few data sources exist that systematically document sleep duration in a nationally representative sample, in the same way, over several years. Methods Data from 10 years of the National Health Interview Survey were used (N=305,555). During all years, habitual sleep duration, age, sex, race/ethnicity, and height/weight were recorded in the same way. Weighted regression analyses examined sleep duration as the outcome, year as linear predictor, and sociodemographics as covariates. Then, interaction terms examined whether the linear change associated with years was differentially experienced by different sociodemographic groups. Results The linear trend of sleep duration over the past 10 years is a loss of 0.78 minutes per year (95%CI -0.91,-0.64; p<0.0001). After adjustment for age, sex, race/ethnicity and BMI, this remained relatively unchanged at 0.86 minutes (95%CI -0.99,-0.73; p<0.0001). A year-by-race/ethnicity interaction was observed (p<0.05). In stratified analyses, Non-Hispanic Whites showed a loss of 0.68 minutes per year (95%CI -0.84,-0.52, p<0.0001). This was 1.33 minutes/year in Blacks/African-Americans (95%CI -1.74,-0.92; p<0.0001), 1.57 minutes/year in Mexican-Americans (95%CI -1.98,-1.16; p<0.0001), 0.99 minutes/year in other Hispanics/Latinos (95%CI -1.51,-0.47; p<0.0001), 0.74 minutes/year in Asians (95%CI -1.24,-0.25; p=0.003), and 1.80 minutes/year in American Indians/Alaskan Natives (95%CI -3.57,-0.03, p=0.046). Conclusion On average, the US population has lost 47 seconds of nightly sleep per year over a 10-year period, equating to about 4.7 hours of sleep per year, but racial/ethnic groups were impacted differently. Compared to Non-Hispanic Whites, Blacks/African-Americans lost 96% more sleep, Mexicans lost 131% more sleep, other Hispanics/Latinos lost 46% more sleep, Asians lost 9% more sleep, and American Indians lost 165% more sleep. Thus, sleep disparities may be widening. Support Dr. Grandner is supported by R01MD011600

scholarly journals 0360 Neighborhood Disadvantage is Associated with Lower Quality Sleep and More Variability in Weeknight Sleep Duration Among Urban Adolescents

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A137-A138
Author(s):  
N G Nahmod ◽  
L Master ◽  
H F McClintock ◽  
L Hale ◽  
O M Buxton
Keyword(s):  
Sleep Duration ◽  
Summer School ◽  
Multilevel Models ◽  
Census Data ◽  
National Level ◽  
Neighborhood Disadvantage ◽  
Disadvantaged Neighborhoods ◽  
Falling Asleep ◽  
Adolescent Sleep ◽  
Race Ethnicity

Abstract Introduction Differential social and contextual environments may contribute to adolescent sleep disparities. Yet, most prior studies are limited to self-reported sleep data, and the actigraphic studies of sleep are not conducted at a national level, thus limiting the variation in neighborhood contexts. This study examined the association between neighborhood disadvantage and actigraphic assessment of adolescent sleep. Methods Participants (682 adolescents, mean age 15.4 years) were racially/ethnically diverse (44% Black, 26% Hispanic, 17% White, 14% other race/ethnicity), sampled from 20 large US cities in the Fragile Families and Child Wellbeing Study. Neighborhood disadvantage was calculated from American Community Survey 2015 census data using the Standardized Neighborhood Deprivation Index (SNDI), consolidating five variables (proportion of female-headed households, public assistance recipients, households in poverty, adults without high school degrees, and unemployed) into an index. SNDI quartiles 1-3 fell below national averages of SNDI variables (“most disadvantaged”) and were compared to quartile 4 (“least disadvantaged”). Sleep indicators (duration, quality, and timing) were measured over ≥5 nights using wrist-worn accelerometers. Separate multilevel models estimated differences in sleep indicators, adjusting for weekday/weekend and summer/school year. General linear models used within-person standard deviations of sleep indicators (controlling for number of days) to test for associations between neighborhood disadvantage and consistency of weeknight sleep patterns. Models adjusted for individual-level sociodemographic covariates (age, sex, race/ethnicity, household income, caregiver education, and family structure). Results In fully adjusted models, adolescents living in more disadvantaged neighborhoods spent more time awake after falling asleep (4.0 minutes/night, p<0.05), spent greater percentage of nighttime sleep intervals awake (1%, p<.01), and had less consistent sleep duration (11.7% higher standard deviation, p<.05). Sleep duration and timing did not differ across neighborhood groups. Conclusion Living in more disadvantaged neighborhoods is associated with lower quality adolescent sleep; more research is needed to identify causal mechanisms. Support Research was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health (NIH), award numbers R01HD073352 (PI: Hale), R01HD36916, R01HD39135, and R01 HD40421, and private foundations. The content is the responsibility of the authors and does not represent official NIH views.

scholarly journals Insomnia Symptoms and Cardiovascular Disease among Older American Indians: The Native Elder Care Study

2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
Charumathi Sabanayagam ◽  
Anoop Shankar ◽  
Dedra Buchwald ◽  
R. Turner Goins
Keyword(s):  
Cardiovascular Disease ◽  
Sleep Duration ◽  
American Indians ◽  
Daytime Sleepiness ◽  
Elder Care ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Falling Asleep ◽  
Insomnia Symptoms ◽  
Care Study

Background. Cardiovascular disease (CVD) is the leading cause of death among American Indians. It is not known if symptoms of insomnia are associated with CVD in this population.Methods. We examined 449 American Indians aged ≥55 years from the Native Elder Care Study. The main outcome-of-interest was self-reported CVD.Results. Short sleep duration, daytime sleepiness, and difficulty falling asleep were positively associated with CVD after adjusting for demographic, lifestyle, and clinical risk factors. Compared with a sleep duration of 7 h, the multivariable odds ratio (OR) (95% confidence interval [CI]) of CVD among those with sleep duration ≤5 h was 2.89 (1.17–7.16). Similarly, the multivariable OR (95% CI) of CVD was 4.45 (1.85–10.72) and 2.60 (1.25–5.42) for daytime sleepiness >2 h and difficulty falling asleep often/always.Conclusion. Symptoms of insomnia including short sleep duration, daytime sleepiness, and difficulty falling asleep are independently associated with CVD in American Indians aged ≥55 years.

171 Habitual Sleep Duration and Chronic Pain in the US Population Over A 10-Year Period: Implications for Sleep Health Disparities

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A69-A70
Author(s):  
Chloe Craig ◽  
Kathryn Kennedy ◽  
Sadia Ghani ◽  
Michael Perlis ◽  
Azizi Seixas ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Back Pain ◽  
Neck Pain ◽  
Sleep Duration ◽  
Joint Pain ◽  
Face Pain ◽  
Wide Range ◽  
The Us ◽  
Race Ethnicity ◽  
Pain Experiences

Abstract Introduction Chronic pain is linked with sleep disturbances, which worsen pain experiences. The nature of the bi-directional relationship between sleep and chronic pain has not been explored at the population level, especially among racial/ethnic minorities, a group disproportionately burdened by chronic pain. To address this gap, we investigated the relationship between sleep and chronic pain experiences in the US population and conducted race-stratified analyses. Methods Data from the CDC National Health Interview Survey (NHIS) was used, from 2007-2016. Sleep duration was categorized as <=4hrs, 5-6hrs, 7-8hrs, 9hrs, or 10+hrs. N=298,698 provided data for analysis. Chronic pain outcomes included arthritis, joint pain, neck pain, back pain, jaw/face pain, and migraines/headaches. Covariates included age, sex, body mass index, and employment status. Race/ethnicity was included as a covariate and interaction term, categorized as Non-Hispanic White, Black/African-American, Mexican-American, Other Hispanic/Latino, Asian/Pacific-Islander, Indian/Subcontinent, American Indian/Alaskan Native, and Multiracial/Other. Weighted logistic regression analyses examined sleep as predictor and pain as outcome, adjusted for covariates. Post-hoc analyses examined sleep-by-race/ethnicity interactions. Results Prevalence in the population was 24.7%, 40.0%, 4.8%, 15.7%, 29.5%, and 15.0% for arthritis and joint, jaw/face, neck, back, and migraine/headache pain. In adjusted analyses compared to 7-8hrs, arthritis was more likely among <=4hrs (OR=2.6,p<0.0005), 5-6hrs (OR=1.5,p<0.0005), 9hrs (OR=1.1,p=0.002), and 10+hrs (OR=1.2,p<0.0005). Joint pain was also more likely among <=4hrs (OR=2.8,p<0.0005), 5-6hrs (OR=1.6,p<0.0005), 9hrs (OR=1.1,p=0.002), and 10+hrs (OR=1.2,p<0.0005). Jaw/face pain was also more likely among <=4hrs (OR=3.0,p<0.0005), 5-6hrs (OR=1.6,p<0.0005), 9hrs (OR=1.2,p=0.001), and 10+hrs (OR=1.4,p<0.0005). Neck pain was more likely among <=4hrs (OR=3.0,p<0.0005), 5-6hrs (OR=1.6,p<0.0005), and 10+hrs (OR=1.2,p<0.0005). Back pain was also more likely among <=4hrs (OR=3.1,p<0.0005), 5-6hrs (OR=1.7,p<0.0005), and 10+hrs (OR=1.3,p<0.0005). Migraines/headaches were also more likely among <=4hrs (OR=3.6,P<0.0005), 5-6hrs (OR=1.8,P<0.0005), and 10+hrs (OR=1.4,P<0.0005). Significant sleep-by-race/ethnicity interactions were seen for joint (p=0.002), jaw (p<0.0005), and neck (p=0.002) pain, but not back pain (p=0.08), migraines/headaches (p=0.28), or arthritis (p=0.45). Conclusion Habitual short and long sleep are associated with a wide range of chronic pain conditions. Bidirectional relationships should be explored as a public health priority. Race/ethnicity interactions suggest that the sleep/pain experience differs by group (reasons should be explored). Support (if any) R01MD011600, R01DA051321, K24AG055602, R01AG041783

scholarly journals 0240 College Football Players Compared to Other Collegiate Athletes: Symptoms of Insufficient Sleep Duration, Insomnia, and Sleep Apnea

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A92-A92
Author(s):  
H Abdi ◽  
A Athey ◽  
A Auerbach ◽  
R Turner ◽  
W D Killgore ◽  
...  
Keyword(s):  
Sleep Apnea ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
College Athletes ◽  
Collegiate Athletes ◽  
Severity Index ◽  
College Football ◽  
Football Players ◽  
Insufficient Sleep ◽  
Falling Asleep

Abstract Introduction College athletes experience frequent sleep disturbances. Data from professional football players suggests high rates of sleep apnea symptoms. Little data is available on college football players, especially compared to other athletes. Methods Data were obtained from N=189 NCAA Division-I student athletes, including N=45 football players). Outcomes of interest came from the Sleep Disorders Symptom Check List (SDSCL) which rated symptoms on a frequency scale of 0: never and 4: >5 times/week. Symptoms evaluated were daytime tiredness, any snoring, loud snoring, breathing pauses during sleep, and waking up choking/gasping sleep apnea), as well as difficulty falling asleep, difficulty with nighttime awakenings, and early morning awakenings (insomnia). Other outcomes include self-reported sleep duration, Insomnia Severity Index, frequency of caffeine use, and frequency of use of medications to help with sleep. Linear and ordinal logistic regression analyses were adjusted for age, sex, year in school, socioeconomic status, and mood. Post-hoc analyses examined men only. Results Regarding sleep apnea symptoms, football players reported more snoring (oOR=3.14, p=0.01), loud snoring (oOR=4.38, p=0.008), breathing pauses (oOR=5.42, p=0.0499), and choking/gasping (oOR=8.51), but not daytime tiredness. Regarding insufficient sleep, football players reported no difference in sleep duration but decreased caffeine use (oOR=0.27, p=0.002). Regarding insomnia, football players showed no difference in ISI scores or insomnia symptoms, but increased likelihood of sleeping pill use (oOR=3.01, p=0.03). When analyses were restricted to men only, all of these relationships were maintained. Conclusion College football athletes may exhibit different sleep symptoms than other college athletes, as they exhibit more sleep apnea-related symptoms, without the increase in daytime symptoms, such as tiredness. Support The REST study was funded by an NCAA Innovations grant. Dr. Grandner is supported by R01MD011600

172 Sleep Disparities in Preschool-Aged Children

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A70-A70
Author(s):  
Jennifer Holmes ◽  
Olivia Hanron ◽  
Rebecca Spencer
Keyword(s):  
Sleep Duration ◽  
Ethnic Disparities ◽  
Data Race ◽  
Older Children ◽  
Hispanic Children ◽  
Sleep Habits ◽  
Chi Square ◽  
White Children ◽  
Race Ethnicity ◽  
And Gender

Abstract Introduction Sleep is known to be associated with socioeconomic status (SES) in older children and adults with those from lower SES households often experiencing poorer sleep quality. Whether this disparity exists in early childhood is relatively unknown, despite being an important age marked by sleep transitions and the establishment of lifelong sleep habits. Furthermore, it is a critical period for cognitive development and learning, which are supported by sleep. Here, we explore associations between sleep and SES in a preschool population. We hypothesized that children from lower SES households would exhibit shorter overnight sleep, longer and more frequent naps, and shorter 24-hr sleep. Additionally, we considered racial and ethnic disparities in sleep which can be confounded with SES in some samples. Methods Child (n=441; M age=51.9mo; 45.4% female) sleep was measured objectively using actigraph watches, worn for 3-16 days (M=9.5 days). Caregivers reported child demographics and household data. Race/ethnicity of our sample was 72% White, 10.2% Black, 17.8% other or more than one race, and 28.4% identified as Hispanic. 20.1% of our sample was categorized as low SES. Effects of SES and race/ethnicity on continuous sleep measures were assessed using multiple regression models, with age and gender as covariates. Nap habituality was assessed using chi-square tests. Results Lower SES was associated with shorter nighttime sleep duration, longer nap duration, and shorter 24-hr sleep duration (p’s<.001). Children from lower SES households were also more likely to nap habitually (p=.04) as were Hispanic children (p<.001). Hispanic children also tended to have longer nap bouts (p=.002). Hispanic and Black children on average had shorter overnight sleep durations than White children (p’s<.04), but their 24-hr sleep did not differ. Conclusion SES-related sleep disparities were present in this preschool population, with lower SES children exhibiting poorer sleep. When controlling for SES, Hispanic children tended to sleep less overnight which was compensated for by longer, more frequent naps. This underscores the necessity of naps for some children to achieve adequate sleep. Future directions will explore the relationship between parenting factors and sleep, such as bedtime routines and parent knowledge surrounding child sleep needs. Support (if any) NIH R01 HL111695

scholarly journals The Comprehensive Autistic Trait Inventory (CATI): development and validation of a new measure of autistic traits in the general population

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Michael C. W. English ◽  
Gilles E. Gignac ◽  
Troy A. W. Visser ◽  
Andrew J. O. Whitehouse ◽  
James T. Enns ◽  
...  
Keyword(s):  
Factor Analysis ◽  
General Population ◽  
Measurement Invariance ◽  
High Reliability ◽  
Predictive Ability ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
Sensory Sensitivity ◽  
Wide Range

Abstract Background Traits and characteristics qualitatively similar to those seen in diagnosed autism spectrum disorder can be found to varying degrees in the general population. To measure these traits and facilitate their use in autism research, several questionnaires have been developed that provide broad measures of autistic traits [e.g. Autism-Spectrum Quotient (AQ), Broad Autism Phenotype Questionnaire (BAPQ)]. However, since their development, our understanding of autism has grown considerably, and it is arguable that existing measures do not provide an ideal representation of the trait dimensions currently associated with autism. Our aim was to create a new measure of autistic traits that reflects our current understanding of autism, the Comprehensive Autism Trait Inventory (CATI). Methods In Study 1, 107 pilot items were administered to 1119 individuals in the general population and exploratory factor analysis of responses used to create the 42-item CATI comprising six subscales: Social Interactions, Communication, Social Camouflage, Repetitive Behaviours, Cognitive Rigidity, and Sensory Sensitivity. In Study 2, the CATI was administered to 1068 new individuals and confirmatory factor analysis used to verify the factor structure. The AQ and BAPQ were administered to validate the CATI, and additional autistic participants were recruited to compare the predictive ability of the measures. In Study 3, to validate the CATI subscales, the CATI was administered to 195 new individuals along with existing valid measures qualitatively similar to each CATI subscale. Results The CATI showed convergent validity at both the total-scale (r ≥ .79) and subscale level (r ≥ .68). The CATI also showed superior internal reliability for total-scale scores (α = .95) relative to the AQ (α = .90) and BAPQ (α = .94), consistently high reliability for subscales (α > .81), greater predictive ability for classifying autism (Youden’s Index = .62 vs .56–.59), and demonstrated measurement invariance for sex. Limitations Analyses of predictive ability for classifying autism depended upon self-reported diagnosis or identification of autism. The autistic sample was not large enough to test measurement invariance of autism diagnosis. Conclusions The CATI is a reliable and economical new measure that provides observations across a wide range of trait dimensions associated with autism, potentially precluding the need to administer multiple measures, and to our knowledge, the CATI is also the first broad measure of autistic traits to have dedicated subscales for social camouflage and sensory sensitivity.

scholarly journals Daily variation in sleep characteristics in individuals with and without post traumatic stress disorder

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Quinn M. Biggs ◽  
Robert J. Ursano ◽  
Jing Wang ◽  
Gary H. Wynn ◽  
Rohul Amin ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Post Traumatic Stress Disorder ◽  
Traumatic Stress ◽  
Stress Disorder ◽  
Daily Variation ◽  
Clinical Care ◽  
Post Traumatic Stress ◽  
Falling Asleep ◽  
Post Traumatic

Abstract Background Sleep disturbances are common in individuals with post traumatic stress disorder (PTSD). However, little is known about how daily variation in sleep characteristics is related to PTSD. This study examined the night-to-night and weekday versus weekend variation in sleep duration, sleep quality, trouble falling asleep, and difficulty staying asleep in individuals with and without PTSD. Methods Participants (N = 157; 80 with PTSD, 77 without PTSD) completed daily self-reports of their nighttime sleep characteristics for 15 consecutive days. Linear mixed models were used to examine the associations between the 7 days of the week and weekday versus weekend variation in sleep characteristics and PTSD. Results Individuals with PTSD reported shorter sleep duration, lower sleep quality, more trouble falling asleep, and more difficulty staying asleep than individuals without PTSD. The pattern of change across the week and between weekdays and weekends was different between those with and without PTSD for sleep quality and trouble falling asleep. Among those with PTSD, sleep duration, sleep quality, and trouble falling asleep differed across the 7 days of the week and showed differences between weekdays and weekends. For those without PTSD, only sleep duration differed across the 7 days of the week and showed differences between weekdays and weekends. Neither group showed 7 days of the week nor weekday versus weekend differences in difficulty staying asleep. Conclusions On average those with PTSD had shorter sleep duration, poorer sleep quality, and greater trouble falling and staying asleep. In particular, the day of week variation in sleep quality and trouble falling asleep specifically distinguishes those with PTSD from those without PTSD. Our findings suggest that clinical care might be improved by assessments of sleep patterns and disturbances across at least a week, including weekdays and weekends. Future studies should explore the mechanisms related to the patterns of sleep disturbance among those with PTSD.

534 Food Insecurity and Sleep Health by Race/Ethnicity and Age Group in the United States

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A211-A211
Author(s):  
Nyree Riley ◽  
Dana Alhasan ◽  
W Braxton Jackson ◽  
Chandra Jackson
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
The United States ◽  
Poor Sleep ◽  
High Food ◽  
Short Sleep Duration ◽  
Sleep Health ◽  
Falling Asleep

Abstract Introduction Food insecurity may influence sleep through poor mental health (e.g., depression) and immune system suppression. Although prior studies have found food insecurity to be associated with poor sleep, few studies have investigated the food security-sleep association among racially/ethnically diverse participants and with multiple sleep dimensions. Methods Using National Health Interview Survey data, we examined overall, age-, sex/gender-, and racial/ethnic-specific associations between food insecurity and sleep health. Food security was categorized as very low, low, marginal, and high. Sleep duration was categorized as very short (<6 hours), short (<7 hours), recommended (7–9 hours), and long (≥9 hours). Sleep disturbances included trouble falling and staying asleep, insomnia symptoms, waking up feeling unrested, and using sleep medication (all ≥3 days/times in the previous week). Adjusting for sociodemographic characteristics and other confounders, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals (95% CI) for sleep dimensions by very low, low, and marginal vs. high food security. Results The 177,435 participants’ mean age was 47.2±0.1 years, 52.0% were women, 68.4% were Non-Hispanic (NH)-White. Among individuals reporting very low food security, 75.4% had an annual income of <$35,000 and 60.3% were ≥50 years old. After adjustment, very low vs. high food security was associated with a higher prevalence of very short (PR=2.61 [95%CI: 2.44–2.80]) and short (PR=1.66 [95% CI: 1.60–1.72]) sleep duration. Very low vs. high food security was associated with both trouble falling asleep (PR=2.21 [95% CI: 2.12–2.30]) and trouble staying asleep (PR=1.98 [95% CI: 1.91–2.06]). Very low vs. high food security was associated with higher prevalence of very short sleep duration among Asians (PR=3.64 [95% CI: 2.67–4.97]), Whites (PR=2.73 [95% CI: 2.50–2.99]), Blacks (PR=2.03 [95% CI: 1.80–2.31]), and Hispanic/Latinxs (PR=2.65 [95% CI: 2.30–3.07]). Conclusion Food insecurity was associated with poor sleep in a diverse sample of the US population. Support (if any):

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