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Nightmares are often associated with psychiatric disorders and acute stress. This study explores how the COVID‐19 pandemic may have influenced the content of nightmares. A sample of N = 419 US adults completed online surveys about sleep and COVID‐19 experiences. Participants were asked about the degree to which they agreed with statements linking greater general stress, worse overall sleep and more middle‐of‐the‐night insomnia with the COVID‐19 pandemic. They were also asked if, during the pandemic, they experienced nightmares related to various themes. Logistic regression analyses examined each nightmare content as outcome and increased stress, worse sleep and more middle‐of‐the‐night insomnia as predictors, adjusted for age, sex and race/ethnicity. Those who reported greater general COVID‐related stress were more likely to have nightmares about confinement, failure, helplessness, anxiety, war, separation, totalitarianism, sickness, death, COVID and an apocalypse. Those who reported worsened sleep were more likely to have nightmares about confinement, oppression, failure, helplessness, disaster, anxiety, evil forces, war, domestic abuse, separation, totalitarianism, sickness, death, COVID and an apocalypse. Those who reported worsened middle‐of‐the‐night insomnia were more likely to have nightmares about confinement, oppression, failure, helplessness, disaster, anxiety, war, domestic abuse, separation, totalitarianism, sickness, death, COVID and an apocalypse. These results suggest that increased pandemic‐related stress may induce negatively‐toned dreams of specific themes. Future investigation might determine whether (and when) this symptom indicates an emotion regulation mechanism at play, or the failure of such a mechanism. [ABSTRACT FROM AUTHOR]

Objective: Risky driving behaviors, such as texting while driving, are common among young adults and increase risk of traffic accidents and injuries. We examine the relationship between poor sleep and risky driving behaviors among college students as potential targets for traffic injury prevention. Methods: Data for this study were obtained from a cross-sectional survey administered to a college student sample in the United States Midwest (n = 1,305). Sleep was measured using the Pittsburgh Sleep Quality Index (PSQI). Risky driving behaviors were measured, including sending texts/emails; reading texts/emails while driving; talking on the phone while driving; falling asleep while driving; and driving under the influence. Risky driving behavior was defined as a response of "just once," "rarely," "sometimes," "fairly often" or "regularly" (reference = "never"). Logistic regression was used to examine the relationship between sleep and risky driving, after adjusting for confounders. Results: Among participants, 75% reported sending texts/emails while driving, 82% reported reading texts/emails while driving, and 84% reported phone talking while driving; 20% reported falling asleep while driving; 8% reported driving under the influence; and 62% reported 3 or more risky behaviors. Compared to those reporting no sleep disturbance, those with sleep disturbance "once or twice a week" were more likely to report sending a text/email while driving (aOR: 2.9, 95%CI:1.7-4.9), reading a text/email while driving (aOR:3.1,95%CI:1.5-5.5), talking on the phone while driving (aOR:1.9, 95%CI:1.0-3.4), and falling asleep while driving (aOR:3.4,95%CI:1.5-7.4). Compared to those reporting no daytime dysfunction, those reporting issues "once or twice a week" were more likely to report talking on the phone while driving (aOR:1.7, 95%CI:1.1-2.7) and falling asleep while driving (aOR:3.6,95%CI:2.3-5.6). Conclusions: Future research may consider designing behavioral interventions that aim to improve sleep, reduce drowsy driving among young adults. [ABSTRACT FROM AUTHOR]

Examine associations between a range of sleep problems and academic performance in a national sample of collegiate athletes. Participants: Data were obtained from the National College Health Assessment of US college/university students from 2011–2014 (N = 8,312 collegiate athletes). Methods: Univariate comparisons for all sleep variables and demographics were stratified across GPA, using one-way ANOVA for continuous variables and chi-square for categorical variables. Multinomial logistic regression models, with GPA as outcome (reference = A) and sleep variable as predictor, were examined and adjusted for age, sex, and survey year. Ordinal regression examined a 1-level change in GPA associated with each sleep variable, adjusted for covariates. Results: Sleep difficulty was associated with increased likelihood of B/C averages. Initial-insomnia was associated with increased likelihood of B/C, and D/F averages. Tiredness was associated with increased likelihood of B/C, and D/F averages. Conclusions: Sleep problems are highly prevalent and associated with poorer academic performance in collegiate athletes. [ABSTRACT FROM AUTHOR]

Background: Few studies have examined the social and behavioral predictors of insufficient sleep. Objective: To assess the social and behavioral predictors of insufficient sleep in the U.S. Methods: Data from the 2009 Behavioral Risk Factor Surveillance System (BRFSS) were analyzed. Telephone interviews were conducted in six representative states that completed the optional sleep module. A total of 31,059 respondents were included in the present analysis. BRFSS-provided weights were applied to analyses to adjust for the use of complex design. Results: The mean age for the sample was 56 ± 16 years, with 63% of the sample being female; 88% identified as non-Hispanic white and 12% identified as non-Hispanic black; 42% were not married and 8% did not have a high school degree. The prevalence of insufficient sleep (<7 hours) was 37%. Multivariate-adjusted logistic regression revealed associations of four important factors with insufficient sleep, which were: working more than 40 hours per week [OR = 1.65, p < 0.001, 95% CI = 1.65-1.66], black race/ethnicity [OR = 1.37, p < 0.001, 95% CI = 1.37-1.38], history of heart disease [OR = 1.26, p < 0.001, 95% CI = 1.25-1.28], care-giving to family/friends [OR = 1.50, p < 0.001, 95% CI = 1.49-1.51], and lack of social and emotional support [OR = 1.24, p < 0.001, 95% CI = 1. 23-1.25]. Conclusion: Social and behavioral predictors of health uniquely contribute to the report of insufficient sleep and should be considered when developing programs to increase awareness of the adverse effects of insufficient sleep. [ABSTRACT FROM AUTHOR]

Background: The National Health Interview Survey (NHIS) was used to ascertain whether increases in inadequate sleep differentially affected black and white Americans. We tested the hypothesis that prevalence estimates of inadequate sleep were consistently greater among blacks, and that temporal changes have affected these two strata differentially.Methods: NHIS is an ongoing cross-sectional study of non-institutionalized US adults (≥18 years) providing socio-demographic, health risk, and medical factors. Sleep duration was coded as very short sleep [VSS] (<5 h), short sleep [SS] (5-6 h), or long sleep [LS] (>8 h), referenced to 7-8 h sleepers. Analyses adjusted for NHIS' complex sampling design using SAS-callable SUDAAN.Results: Among whites, the prevalence of VSS increased by 53% (1.5% to 2.3%) from 1977 to 2009 and the prevalence of SS increased by 32% (19.3% to 25.4 %); prevalence of LS decreased by 30% (11.2% to 7.8%). Among blacks, the prevalence of VSS increased by 21% (3.3% to 4.0%) and the prevalence of SS increased by 37% (24.6 % to 33.7%); prevalence of LS decreased by 42% (16.1% to 9.4%). Adjusted multinomial regression analysis showed that odds of reporting inadequate sleep for whites were: VSS (OR = 1.40, 95% CI = 1.13-1.74, p < 0.001), SS (OR = 1.34, 95 % CI = 1.25-1.44, p < 0.001), and LS (OR = 0.94, 95% CI = 0.85-1.05, NS). For blacks, estimates were: VSS (OR = 0.83, 95% CI = 0.60-1.40, NS), SS (OR = 1.21, 95% CI = 1.05-1.50, p < 0.001), and LS (OR = 0.84, 95% CI = 0.64-1.08, NS).Conclusions: Blacks and whites are characteristically different regarding the prevalence of inadequate sleep over the years. Temporal changes in estimates of inadequate sleep seem dependent upon individuals' race/ethnicity. [ABSTRACT FROM AUTHOR]

/Background: The goal of the present study was to assess the prevalence and incidence of insomnia in the United States during the COVID-19 pandemic, and whether, among those that contracted COVID-19, insomnia predicted worse outcomes (e.g., symptoms of greater frequency, duration, or severity). A nationwide sample of 2980 adults living in the United States were surveyed online at two points during the COVID-19 pandemic (T1 = April–June 2020; T2 = January–March 2021). Insomnia symptoms were assessed at both time points using the Insomnia Severity Index (ISI). The T2 survey also asked questions regarding COVID-19 testing and symptoms. The prevalence of insomnia (defined as ISI ≥15) was 15% at T1 and 13% at T2. The incidence rate of insomnia (i.e., new cases from T1 to T2) was 5.6%. Participants with insomnia were not more likely to contract COVID-19 relative to those participants without insomnia. Among those participants in our sample that contracted the virus during the study interval (n = 149), there were no significant group differences in COVID-19 symptom outcomes, with one exception, participants with insomnia were more likely to report a longer symptom duration (insomnia = 24.8 sick days, no insomnia = 16.1 sick days). The present study suggests the prevalence of insomnia in the U.S. population remained high during the COVID-19 pandemic. The data also support that insomnia may be related to experiencing more chronic COVID-19 symptoms. These findings have more general implications for the role of sleep and insomnia on immune functioning. • The prevalence of clinical insomnia remained high during the COVID-19 pandemic (>13%). • Insomnia was not related to contracting COVID-19 or experiencing more severe symptoms. • Insomnia was associated with a prolonged recovery from COVID-19 (i.e., more days sick). [ABSTRACT FROM AUTHOR]

Aim: Previous studies have demonstrated relationships between sleep and both obesity and diabetes. Additionally, exercise may improve sleep and daytime function, in addition to weight and metabolic function. The present study extends these findings by examining how general sleep-related complaints are associated with body mass index (BMI), diabetes diagnosis, and exercise in a large, nationally representative sample. Subject and methods: Participants were respondents to the Behavioral Risk Factor Surveillance System (BRFSS). Sleep complaint (SC) was measured with 'Over the last 2 weeks, how many days have you had trouble falling asleep or staying asleep or sleeping too much?' Daytime complaint (DC) was measured with 'Over the last 2 weeks, how many days have you felt tired or had little energy?' Responses were dichotomized, with ≥6 days indicating complaint. Covariates included age, race/ethnicity, income, and education. Results: Being overweight was associated with DC in women only. Obesity was significantly associated with SC and DC in women, and DC in men. Diabetes was associated with SC and DC in both genders. Any exercise in the past 30 days did not attenuate any BMI or diabetes relationships, but was independently associated with a decrease in SC and DC in both men and women. Conclusion: These results suggest that for both men and women diabetes is a significant predictor of sleep and daytime complaints, and there is a relationship between obesity and sleep and complaints for women to a greater extent than men. Finally, exercise was associated with much fewer sleep and daytime complaints in both genders. [ABSTRACT FROM AUTHOR]

Objectives: The present study investigated the roles birthplace and acculturation play in sleep estimates among Hispanic/Latino population at the US-Mexico border., Measures: Data were collected in 2016, from N  = 100 adults of Mexican descent from the city of Nogales, AZ, at the US-Mexico border. Sleep was assessed with the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index categorized as none, mild, moderate, and severe, and Multivariable Apnea Prediction Index (MAP) categorized as never, infrequently, and frequently. Acculturation was measured with the Acculturation Rating Scale for Mexican-Americans II (ARSMA-II)., Results: The sample consisted of majority Mexican-born (66%, vs. born in the USA 38.2%). Being born in the USA was associated with 55 fewer minutes of nighttime sleep ( p  = .011), and 1.65 greater PSQI score ( p  = .031). Compared to no symptoms, being born in the USA was associated with greater likelihood of severe difficulty falling asleep (OR = 8.3, p  = .030) and severe difficulty staying asleep (OR = 11.2, p  = .050), as well as decreased likelihood of breathing pauses during sleep (OR = 0.18, P  = .020). These relationships remained significant after Mexican acculturation was entered in these models. However, greater Anglo acculturation appears to mediate one fewer hour of sleep per night, poorer sleep quality, and reporting of severe difficulty falling asleep and staying asleep., Conclusions: Among individuals of Mexican descent, being born in the USA (vs Mexico) is associated with about 1 hour less sleep per night, worse sleep quality, more insomnia symptoms, and less mild sleep apnea symptoms. These relationships are influenced by acculturation, primarily the degree of Anglo rather than the degree of Mexican acculturation.

Objective: The Mind after Midnight hypothesis proposes that nocturnal wakefulness increases the risk for dysregulated behaviors. Prior studies highlight a greater risk for suicide at night after adjusting for population wakefulness. How this risk varies hour to hour, differs across subgroups, or applies to other behaviors is unknown., Methods: Data on 78,647 suicides and 50,526 homicides from the National Violent Death Reporting System were combined with population wakefulness data for 2003-2017 from the American Time Use Survey. Hourly incident risk ratios (IRRs) were estimated after adjusting for population wakefulness. Two-way analysis of variances identified significant time-by-subgroup interactions that were quantified in post hoc analyses., Results: Suicide counts peaked at 12:00 PM, while homicide counts peaked at 10:00- 11:00 PM. Adjusting for demographics and population wakefulness revealed a 5-fold greater risk for suicide at 3:00 AM (aIRR: 5.20 [4.74-5.70]) and an 8-fold greater risk for homicide at 2:00 AM (aIRR: 8.04 [6.35-10.2]). Hourly risk for suicide varied by age, ethnicity, blood alcohol level, and current partner conflict. Hourly risk for homicide varied by sex and blood alcohol level., Conclusions: Risk for suicide and homicide is greater at night than expected based on the number of people awake at that time. Nighttime risk was greater among young adults and those intoxicated with alcohol, but not among those with a history of suicidal ideation or attempts. Further research should evaluate mechanisms of risk and confirm these findings at an individual level., (© Copyright 2024 Physicians Postgraduate Press, Inc.)

Background: The American Heart Association recently published an updated algorithm for quantifying cardiovascular health (CVH)-the Life's Essential 8 score. We quantified US levels of CVH using the new score., Methods: We included individuals ages 2 through 79 years (not pregnant or institutionalized) who were free of cardiovascular disease from the National Health and Nutrition Examination Surveys in 2013 through 2018. For all participants, we calculated the overall CVH score (range, 0 [lowest] to 100 [highest]), as well as the score for each component of diet, physical activity, nicotine exposure, sleep duration, body mass index, blood lipids, blood glucose, and blood pressure, using published American Heart Association definitions. Sample weights and design were incorporated in calculating prevalence estimates and standard errors using standard survey procedures. CVH scores were assessed across strata of age, sex, race and ethnicity, family income, and depression., Results: There were 23 409 participants, representing 201 728 000 adults and 74 435 000 children. The overall mean CVH score was 64.7 (95% CI, 63.9-65.6) among adults using all 8 metrics and 65.5 (95% CI, 64.4-66.6) for the 3 metrics available (diet, physical activity, and body mass index) among children and adolescents ages 2 through 19 years. For adults, there were significant differences in mean overall CVH scores by sex (women, 67.0; men, 62.5), age (range of mean values, 62.2-68.7), and racial and ethnic group (range, 59.7-68.5). Mean scores were lowest for diet, physical activity, and body mass index metrics. There were large differences in mean scores across demographic groups for diet (range, 23.8-47.7), nicotine exposure (range, 63.1-85.0), blood glucose (range, 65.7-88.1), and blood pressure (range, 49.5-84.0). In children, diet scores were low (mean 40.6) and were progressively lower in higher age groups (from 61.1 at ages 2 through 5 to 28.5 at ages 12 through 19); large differences were also noted in mean physical activity (range, 63.1-88.3) and body mass index (range, 74.4-89.4) scores by sociodemographic group., Conclusions: The new Life's Essential 8 score helps identify large group and individual differences in CVH. Overall CVH in the US population remains well below optimal levels and there are both broad and targeted opportunities to monitor, preserve, and improve CVH across the life course in individuals and the population.

In 2010, the American Heart Association defined a novel construct of cardiovascular health to promote a paradigm shift from a focus solely on disease treatment to one inclusive of positive health promotion and preservation across the life course in populations and individuals. Extensive subsequent evidence has provided insights into strengths and limitations of the original approach to defining and quantifying cardiovascular health. In response, the American Heart Association convened a writing group to recommend enhancements and updates. The definition and quantification of each of the original metrics (Life's Simple 7) were evaluated for responsiveness to interindividual variation and intraindividual change. New metrics were considered, and the age spectrum was expanded to include the entire life course. The foundational contexts of social determinants of health and psychological health were addressed as crucial factors in optimizing and preserving cardiovascular health. This presidential advisory introduces an enhanced approach to assessing cardiovascular health: Life's Essential 8. The components of Life's Essential 8 include diet (updated), physical activity, nicotine exposure (updated), sleep health (new), body mass index, blood lipids (updated), blood glucose (updated), and blood pressure. Each metric has a new scoring algorithm ranging from 0 to 100 points, allowing generation of a new composite cardiovascular health score (the unweighted average of all components) that also varies from 0 to 100 points. Methods for implementing cardiovascular health assessment and longitudinal monitoring are discussed, as are potential data sources and tools to promote widespread adoption in policy, public health, clinical, institutional, and community settings.

Objective: Prior studies indicate nocturnal wakefulness is associated with suicide, while morning wakefulness is linked to reduced suicidal ideation. These relationships, however, may be confounded by sociodemographic factors. Therefore, this study investigated whether timing of wakefulness was associated with suicidal ideation in a nationally representative sample., Methods: Data were collected from the US National Health and Nutrition Examination Survey for the years 2015 to 2018, resulting in a final sample of 10,166 participants (51.1% female) with complete data available on suicidal ideation status, time to bed, and time out of bed. Population-weighted logistic regression models estimated the associations between time spent out of bed (ie, being awake) and suicidal ideation., Results: A total of 385 survey participants (47.5% female) reported suicidal ideation in the past 2 weeks for a population-weighted prevalence of 3.37% (95% CI, 2.85%-3.87%). Wakefulness between 11:00 pm and 5:00 am was associated with suicidal ideation (OR = 1.16; 95% CI, 1.08-1.24 per hour), even after adjustment for sociodemographic factors and symptoms of sleep disorders, but not after adjustment for the severity of depression symptoms. Conversely, wakefulness between 5:00 am and 11:00 am was associated with reduced odds of suicidal ideation (OR = 0.77; 95% CI, 0.70-0.85 per hour) in all models., Conclusions: Individuals who spent more time awake at night were more likely to have recent suicidal ideation, while the opposite was true for those with more time spent awake in the morning. Moreover, these associations were independent of sociodemographic factors and thus not confounded by varying rates of suicidal ideation in different populations., (© Copyright 2021 Physicians Postgraduate Press, Inc.)

Background: Poor sleep health, including sleep deficiency and sleep disturbance, is common among employed adults in the U.S. and is associated with undesirable workplace outcomes. Adoption of workplace health promotion programs (WHPPs) is increasing, yet few programs aim to reduce fatigue or improve sleep among employees., Objective: We analyzed data from the nationally representative 2017 Centers for Disease Control Workplace Health in America poll to identify the prevalence of sleep enhancement or fatigue reduction WHPPs and the characteristics of employers that offer these programs., Method: A stratified random sample of nationally-representative worksites with ≥10 employees was generated. It comprised 2,843 worksites. Worksite representatives reported workplace characteristics, health promotion activities, and the likelihood of offering WHPPs relating to sleep enhancement or fatigue reduction. Logistic regression analyses were utilized to identify characteristics associated with offering a sleep enhancement or fatigue reduction WHPP, controlling for WHPP budget and size of the company, and contingent on worksites having a comprehensive workplace health plan., Results: Less than 1 in 10 worksites (10%) reported offering a sleep enhancement or fatigue reduction WHPP. Worksites most likely to offer a sleep-focused WHPP were those in retail, wholesale, or technology industries (OR = 2.71, 95%CI: 1.08-6.8) vs. those in the finance, information, technology industries; those with a large WHPP budget (>$500,000, OR = 6.85, 95%CI: 2.1-22.35) vs. those with no budget; and those that had visible support of WHPP initiatives from senior leadership (OR = 4.74, 95%CI: 1.91-11.75) vs. those without such support., Conclusions: Our results highlight how few worksites reported offering sleep-focused programs for their employees. Those worksites that did feature such programs, were commonly well-resourced and had senior leadership support for WHPP initiatives in general. Future research should consider working directly with leaders to expand the implementation of employee sleep enhancement and fatigue reduction WHPPs.

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.

Objectives: Short and long sleep duration are associated with poor health outcomes and are most prevalent among racial/ethnic minorities. Few studies have investigated the intersection of other sociodemographic characteristics with race/ethnicity on sleep duration prevalence., Design: Longitudinal retrospective analysis of continental U.S. cohort, the REasons for Geographic And Racial Differences in Stroke (REGARDS) PARTICIPANTS: Black (n = 7,547) and white (n = 12,341) adults, 56% women, ≥45 years MEASUREMENTS: At baseline (2003-07), participants reported age, sex, race, education, income, marital status, U.S. region, and employment status. The weighted average of reported sleep duration on weekdays and weekends, assessed at follow-up (2008-10), was categorized as <6, 6.0-6.99, 7.0-7.99 [reference], 8.0-8.99, and ≥9 h. Multinomial logistic regression models examined the independent and multivariable associations of sociodemographic factors with sleep duration. Interactions terms between race with education, income, region, and sex were examined., Results: Average sleep duration was 7.0 h (SD=1.3). Prevalence of short (<6 h) and long (≥9 h) sleep duration was 11.4% (n = 2,260) and 7.0% (n = 1,395), respectively. In the multivariable model, interactions terms race*income, race*sex, and race*region were significant (P < .05). Relative to white adults, black adults, were most likely to have short sleep duration. The magnitude of that likelihood increased across greater levels of household income, but with greatest odds among black adults living outside of the Southeast and Appalachian United States, particularly for men (≥$75k; black men OR = 5.47, 95%CI: 3.94,7.54; black women OR = 4.28, 95%CI: 3.08, 5.96)., Conclusions: Race in the context of socioeconomic, sex, and regional factors should be examined as key modifiers of sleep duration., (Copyright © 2020 National Sleep Foundation. All rights reserved.)

Objective: Insomnia is a risk factor for suicide, and the risk of suicide after accounting for population wakefulness is disproportionately highest at night. This study investigated whether this risk varied across months and/or methods of suicide., Methods: Time, date, method (eg, firearm, poisoning), and demographic information for 35,338 suicides were collected from the National Violent Death Reporting System for the years 2003-2010. Time of fatal injury was grouped into 1-hour bins and compared to the estimated hourly proportion of the population awake from the American Time Use Survey for 2003-2010. Negative binomial modeling then generated hourly incidence risk ratios (IRRs) of suicide. Risks were then aggregated into 4 categories: morning (6:00 am to 11:59 am), afternoon (noon to 5:59 pm), evening (6:00 pm to 11:59 pm), and night (midnight to 5:59 am)., Results: The risk of suicide was higher at night across all months (P < .001) and methods (P < .001). The mean nocturnal IRR across months was 3.18 (SD = 0.314), with the highest IRR in May (3.90) and the lowest in November (2.74). The mean (SD) nocturnal IRR across methods was 3.09 (0.472), with the highest IRR for fire (3.75) and the lowest for drowning (2.44). Additionally, nocturnal risk was elevated within all demographics (all P < .001). However, there were no month-by-time or method-by-time interactions across demographics (all P > .05)., Conclusions: Regardless of month or method, the incidence risk of suicide at night is higher than at any other time of day. Additionally, demographic subgroups did not differentially experience higher risks across months or mechanisms at night., (© Copyright 2020 Physicians Postgraduate Press, Inc.)

Objectives: Determine the current rate of patient-provider sleep discussions and identify factors associated with occurrence of these discussions., Design: Secondary cross-sectional analysis of self-report data collected during the Sleep and Healthy Activity Diet Environment and Socialization study. Logistic regressions were used., Setting: Urban and suburban Southeastern Pennsylvania PARTICIPANTS: A total of n = 998 adults (aged 22-60), 38.6% female, racially and socioeconomically diverse, from urban and suburban Southeastern Pennsylvania., Measurements: Outcome measures were responses to 3 questions: (1) ever discussed sleep with a provider, (2) a provider ever discussed importance of sleep schedule, and (3) a provider ever discussed importance of enough sleep. Descriptive/independent variables included demographic factors and a wide range of patient-reported measures of health and sleep habits., Results: About a third of individuals have ever discussed sleep with a provider. Factors associated with higher odds of sleep-related discussions included sleep medication use, worse insomnia severity, race (Black/African American, Hispanic, Latino, other/multiracial), female sex, higher education, higher body mass index, and worse depression severity. Factors associated with lower odds were Asian race and low income. Sleep discussions were not associated with certain factors indicative of sleep disorders: sleep duration, snoring, shift work schedule, not working, and anxiety., Conclusions: Low rates of patient-provider sleep discussions and factors associated (or not) with their occurrence indicate missed opportunities for improved health outcomes., (Copyright © 2019 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.)

Objective: Adults with HIV have greater sleep difficulties and are more likely to smoke cigarettes. We tested whether current smoking plays a role in sleep difficulties experienced by young adults with HIV., Design: Cross-sectional., Setting: Data were from the 2011-2014 waves of the National College Health Assessment, an annual survey conducted by the American College Health Association., Participants: 108,159 (including N = 224 HIV positive) college students provided data for this study., Measurements: Health conditions (including HIV positive status) were self-reported. Participants were also asked whether "sleep difficulties" were "traumatic or difficult for you to handle" over the past 12 months. Smoking was self-reported (smokers reported smoking on at least 20 of the last 30 days). Logistic regression models were adjusted for age, sex, survey year, current alcohol use or current marijuana use, diagnosis and/or treatment of anxiety or depression in last year., Results: HIV positive students were more likely to be smokers (OR = 2.0, SE = 0.43, 95% CI [1.31, 3.05], P = .001) and were more likely to experience sleep difficulties (OR = 2.02, SE = 0.29, 95% CI [1.52, 2.68], P < .0001). While a significant HIV-x-smoking interaction was not found, when models were stratified by smoking, the relationship between HIV status and sleep difficulties was seen among non-smokers (OR = 1.97), and this relationship was stronger among smokers (OR = 2.64)., Conclusions: Among college students, HIV positive status is associated with increased sleep difficulties. These problems are worse among smokers. Sleep interventions are warranted in this vulnerable group, and could potentially enhance smoking cessation efforts., (Copyright © 2019 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.)

Objective: Alcohol intoxication and dependence are risk factors for suicide, a leading cause of death in the United States. We examined the hours of peak and nadir in completed suicides over a 24-hour period among intoxicated, alcohol-dependent individuals. We also evaluated suicide-related factors associated with intoxication at different times of the day., Methods: We analyzed cross-sectional data from the 2003-2010 National Violent Death Reporting System provided by 16 US states. In the primary database, the deceased individuals' alcohol-dependent status was classified as "yes" or "no or unknown." We restricted the analysis to alcohol-dependent individuals with alcohol level data available (N = 3,661). The primary outcome measure was the reported time of death. Secondary outcome measures were predisposing and injury-related factors. Individuals were classified on the basis of their blood alcohol level (BAL) as heavy drinking (BALH [≥ 80 mg/dL]) or non-heavy drinking (BALO [< 80 mg/dL]). The time of injury was divided into 1-hour bins, which were used to compute the incidence of suicide over 24 hours. We also evaluated the association between clinical factors and BALH for each of six 4-hour time periods beginning at 00:01 hours., Results: The majority (73.4%) of individuals showed evidence of alcohol consumption prior to committing suicide. BALH was observed in 60.7% of all individuals. Peak incidences in suicide were identified at 21:00 for BALH and 12:00 for BALO, with nadirs at 05:00 and 03:00 hours, respectively. In a multivariable analysis, between 20:01 and 00:00 hours, BALH was associated with more risk and protective factors than BALO., Conclusions: Identifying critical times and associated risk factors for suicidal behavior may contribute to suicide prevention efforts in intoxicated alcohol-dependent individuals., (© Copyright 2018 Physicians Postgraduate Press, Inc.)

Objectives: Insufficient sleep has become recognized as a pervasive problem in modern society. Sleep debt is a novel measure of sleep adequacy that may be useful in describing those at risk for inadequate sleep. Our objective was to investigate factors that may be associated with sleep debt at the population level, as well as build upon previous data that showed that minority groups may be more likely to have sleep debt., Design: A cross-sectional population phone survey included questions regarding amount of sleep required and amount of sleep achieved. Sleep debt was calculated by subtracting sleep achieved from sleep required., Setting: This study was designed by the Philadelphia Health Management Corporation and conducted over landlines and cell phones., Participants: The Random Digit Dialing method was used to randomly choose 8,752 adults older than 18 years from several counties in and around Philadelphia to answer questions about sleep., Measurements: Logistic regression was performed to test associations between sleep debt and various sociodemographic factors in different population subgroups to identify those at risk for sub-optimal sleep duration., Results: Sleep debt was seen to decrease with age, a novel finding that is in contrast with literature suggesting that older adults have poor sleep. Greater sleep debt was also associated with female gender, Hispanic/Latino ethnicity, <40 years of age, self-reported poor health, and increased stress., Conclusions: Although older adults may sleep less as they age, they may also require less sleep to feel rested, resulting in less sleep debt. This and other demographic factors, such as female gender and Hispanic/Latino ethnicity, can be used to identify those at higher risk of inadequate sleep and potentially manage their sleep debt., (Copyright © 2018 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.)

The American Academy of Sleep Medicine and Sleep Research Society recently released a Consensus Statement regarding the recommended amount of sleep to promote optimal health in adults. This paper describes the methodology, background literature, voting process, and voting results for the consensus statement. In addition, we address important assumptions and challenges encountered during the consensus process. Finally, we outline future directions that will advance our understanding of sleep need and place sleep duration in the broader context of sleep health., (© 2015 American Academy of Sleep Medicine.)

Background: Cancer and its treatments can deleteriously affect memory. Cardiac function and insomnia can exacerbate memory problems., Objective: To examine the relationships among cardiovascular disease, insomnia, and self-reported memory problems (SRMP) in adult-onset cancer survivors., Methods: We included data from participants (41-64 year-old) of the 2007-2008 National Health and Nutrition Examination Survey, a nationally representative probability sample of the civilian, non-institutionalized population of the US. We excluded participants with brain cancer/stroke history since these conditions are expected to cause cognitive problems. Using binary logistic regression, we determined the prevalence of SRMP relative to cardiac problems and insomnia by weighting our results proportionally. We adjusted for predictors of memory problems: age, sex, race, education and general health., Results: The sample included 2289 adults (49% females), 9% with a cancer history. The results pertain only to cancer survivors. Those with insomnia were 16 times as likely to have SRMP. Only insomnia symptoms (OR, 15.74; 95% CI, 1.73-143.30; p < 0.01) significantly predicted SRMP, uniquely explaining 12% of the variance. Insomnia accounted for 18.8% of the association between cardiac issues and SRMP, demonstrating mediation (Sobel p < 0.05). The large CI is a consequence of analyzing a sub-group of a subpopulation. Among participants without a cancer history, cardiovascular disease and insomnia were not associated with SRMP (p > 0.05)., Limitations: We could not determine severity and time-related changes in SRMP., Conclusion: Likelihood of SRMP was higher in cancer survivors with a history of cardiovascular disease and insomnia symptoms. Future studies are needed to delineate the cardiac-insomnia-memory interrelationships., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Sleep is essential for optimal health. The American Academy of Sleep Medicine (AASM) and Sleep Research Society (SRS) developed a consensus recommendation for the amount of sleep needed to promote optimal health in adults, using a modified RAND Appropriateness Method process. The recommendation is summarized here. A manuscript detailing the conference proceedings and evidence supporting the final recommendation statement will be published in SLEEP and the Journal of Clinical Sleep Medicine., (© 2015 American Academy of Sleep Medicine.)

Experimental sleep restriction increases sleepiness and impairs driving performance. However, it is unclear whether short sleep duration in the general population is associated with drowsy driving. The goal of the present study was to evaluate whether individuals in the general population who obtained sleep of 6h or less are more likely to report drowsy driving, and evaluate the role of perceived sleep sufficiency. Data exploring whether subgroups of short sleepers (those who report the most or least unmet sleep need) show different risk profiles for drowsy driving are limited. From the 2009 Behavioral Risk Factor Surveillance System (N=31,522), we obtained the following self-reported data: (1) sleep duration (≤5, 6, 7, 8, 9, or ≥10 h/night); (2) number of days/week of perceived insufficient sleep; (3) among drivers, yes/no response to: "During the past 30 days, have you ever nodded off or fallen asleep, even just for a brief moment, while driving?" (4) demographics, physical/mental health. Using 7 h/night as reference, logistic regression analyses evaluated whether self-reported sleep duration was associated with drowsy driving. Overall, 3.6% reported drowsy driving. Self-identified short-sleepers reported drowsy driving more often, and long sleepers, less often. Among those who perceived sleep as always insufficient, drowsy driving was reported more often when sleep duration was ≤5 h, 6 h, or ≥10 h. Among those who perceived sleep as always sufficient, drowsy driving was reported more often among ≤5 h and 6h sleepers. Overall, drowsy driving was common, particularly in self-identified short-sleepers as a whole, as well as subgroups based on sleep insufficiency., (Copyright © 2013 Elsevier Ltd. All rights reserved.)

Study Objectives: Growing evidence indicates sleep is a major public health issue. Race/ethnicity and socioeconomics may contribute to sleep problems. This study assessed whether sleep symptoms were more prevalent among minorities and/or the socioeconomically disadvantaged., Design: Cross-sectional., Setting: Epidemiologic survey., Patients or Participants: 2007-2008 National Health and Nutrition Examination Survey (N = 4,081)., Interventions: None., Measurements and Results: Sociodemographics included age, sex, race/ethnicity, marital status, and immigration. Socioeconomics included poverty, education, private insurance, and food insecurity. Sleep symptoms assessed were sleep latency > 30 min, difficulty falling asleep, sleep maintenance difficulties, early morning awakenings, non-restorative sleep, daytime sleepiness, snorting/gasping, and snoring. Decreased reported problems for most symptoms were found among minorities, immigrants, and lower education levels. In general, in fully adjusted models, long sleep latency was associated with female gender, being black/African American, lower education attainment, no private insurance, and food insecurity. Difficulty falling asleep, sleep maintenance difficulties, early morning awakenings, and non-restorative sleep were also associated with female gender and food insecurity. Daytime sleepiness was seen in female and divorced respondents. Snorting/gasping was more prevalent among male, other-Hispanic/Latino, and 9(th)- to 11(th)-grade-level respondents. Snoring was prevalent among male, other-Hispanic/Latino, less-educated, and food-insecure respondents., Conclusions: Sleep symptoms were associated with multiple sociodemographic and economic factors, though these relationships differed by predictor and sleep outcome. Also, reports depended on question wording.

Study Objectives: We hypothesize that extremes of sleep duration are associated with elevated C-reactive protein (CRP), a pro-inflammatory marker for cardiovascular disease risk., Design: Cross-sectional., Setting: Population-based research., Participants: Nationally representative sample of 2007-2008 National Health and Nutrition Examination Survey participants (n = 5,587 adults)., Interventions: None., Measurements and Results: Associations between CRP and self-reported total sleep time (TST) were examined. Explanatory models considered contributions of sex, age, race/ethnicity, body mass index (BMI), and BMI squared (BMI2). Models also explored the role of insomnia symptoms, sleep apnea, active medical illness, and antidiabetic/antihypertensive treatment. Differential patterns among race/ethnicity groups were examined using interactions and stratified analyses. Nonlinear relationships between CRP and TST were assessed using polynomial and multinomial regression models (< 5, 5, 6, 7, 8, 9, and > 9 h). Linear and squared terms were significant in all models in the complete sample, with notable differences by sex and ethnoracial group. Overall, in models adjusted for sociodemographics and BMI, different patterns were observed for non-Hispanic white (elevated CRP for < 5 h and > 9 h), black/African-American (elevated CRP for < 5 h and 8 h), Hispanic/Latino (elevated CRP for > 9 h), and Asian/ Other (higher in 9 and > 9 h and lower in 5 h and 6 h) groups. Ethnoracial groups also demonstrated patterning by sex., Conclusion: In a representative sample of American adults, elevated CRP was associated with extreme sleep durations. Sex, race/ethnicity, sleep disorders, and medical comorbidity influenced these associations. Differences in CRP along these dimensions should be considered in future research on sleep related disparities influencing cardiometabolic disease risk.

Explore how social factors influence sleep, especially sleep-related beliefs and behaviors. Sleep complaints, sleep hygiene behaviors, and beliefs about sleep were studied in 65 black/African American and white/European American women. Differences were found for snoring and discrepancy between sleep duration and need. Sleep behaviors differed across groups for napping, methods for coping with sleep difficulties, and nonsleep behaviors in bed. Beliefs also distinguished groups, with differences in motivation for sleep and beliefs about sleep being important for health and functioning. These findings have important public health implications in terms of developing effective sleep education interventions that include consideration of cultural aspects.

Study Objective: Explore the prevalence of sleep-related complaints across age groups, examining effects of sex, general health, and depressed mood., Design: Cross-sectional analysis of data from the 2006 Behavioral Risk Factor Surveillance System (BRFSS)., Setting: Epidemiologic., Participants: Complete-case analysis included 155,877 participants who responded to questions related to Self-Reported Sleep Disturbance (SLEEPDIST) and Self-Reported Tiredness/Lack of Energy (TIREDNESS)., Interventions: None., Measurements and Results: Outcomes were self-reported complaints in response to survey questions assessing SLEEPDIST and TIREDNESS, dichotomized as reporting a complaint < 6 versus ≥ 6 nights or days, respectively, in a 2-wk period. Predictors were age, general health, and depressed mood. All analyses were adjusted for race/ethnicity, income, education, and time since last medical checkup. Across all age groups, women reported more SLEEPDIST and TIREDNESS. Poor general health, mild depressed mood, and moderate/severe depressed mood were associated with SLEEPDIST and TIREDNESS. Both SLEEPDIST and TIREDNESS generally declined across the life span, with fewest endorsements in respondents older than 80 yr. For SLEEPDIST, odds ratios (ORs, reference = 80+) declined from age 18-54 yr, rose slightly, and then declined again after age 59 yr in men. The pattern was similar for women, except a more marked rise was noted from age 40-59 yr. The pattern was similar for TIREDNESS., Conclusions: Advancing age was not associated with increased Self-Reported Sleep Disturbance or Self-Reported Tiredness/Lack of Energy. These results suggest that the often-reported increase in sleep problems with age is a nonlinear phenomenon, mediated by factors other than physiologic aging.

Study Objectives: Social and demographic influences are important for sleep attainment. Geographic location has not been previously explored., Methods: Data from the 2006 Behavioral Risk Factor Surveillance System (BRFSS) were used (N = 157,319). Participants answered a question on Sleep Disturbance and Daytime Fatigue. Thirty-six states/regions provided data on these items. Prevalence estimates were adjusted for age, sex, ethnoracial group, education, income, employment, general health, healthcare access, and depression. Chi-squared tests were conducted across states and census regions, and pseudo-R(2) values were computed for the effect of state, relative to other predictors. To evaluate potential mediators of census region differences, an analysis of p value change associated with specific covariates and covariate groups was undertaken., Results: Adjusted prevalence rates of Sleep Disturbance differed across states/regions overall (χ(2) = 412.3, p < 0.0001), as well as separately for men (χ(2) = 139.5, p < 0.0001) and women (χ(2) = 350.0, p < 0.0001), as did rates of Daytime Fatigue overall (χ(2) = 245.7, p < 0.0001), and separately for men (χ(2) = 117.5, p < 0.0001) and women (χ(2) = 181.2, p < 0.0001). Analysis of pseudo-R(2) values revealed that despite these significant findings, state differences were an overall weak predictor, representing 1.30% to 1.73% of the magnitude of the effect of the best predictor (mental health). When Census regions were compared, significant differences were found for Sleep Disturbance (p = 0.002), but after adjustment for covariates, these were no longer significant. Differences existed for Daytime Fatigue in adjusted analyses overall (p < 0.0001), with the West reporting the fewest complaints and the South reporting the most., Conclusions: These results demonstrate that reports of sleep related complaints vary across states, independent (at least partially) of factors that influence circadian rhythms (e.g., latitude).

Objectives: Lower socioeconomic status is associated with short or long sleep duration and sleep disturbance (e.g., sleep apnea), which are all related to increased mortality risk. General sleep complaints, however, which may better approximate symptoms as they are experienced, have not been examined in a large population sample., Methods: Sample consisted of n=159,856 participants from the Behavioral Risk Factor Surveillance System, representing 36 states/regions across the US. Sleep complaints were measured with a telephone survey item that assessed "trouble falling asleep," "staying asleep" or "sleeping too much." Data analysis utilized hierarchical logistic regression and Rao-Schott chi(2)., Results: Asian respondents reported the least complaints, and Hispanic/Latino and Black/African-American individuals reported fewer complaints than Whites. Lower income and educational attainment was associated with more sleep complaints. Employment was associated with less sleep complaints and unemployment with more. Married individuals reported the least sleep complaints. Significant interactions with race/ethnicity indicate that the relationship between sleep complaints and marital status, income and employment differs among groups for men, and the relationship with education differs among groups for women., Conclusions: Rates of sleep complaints in African-American, Hispanic/Latino and Asian/Other groups were similar to Whites. Lower socioeconomic status was associated with higher rates of sleep complaint., (Copyright 2010 Elsevier B.V. All rights reserved.)