Racial and ethnic disparities in insufficient sleep among US in infants and preschoolers.

OBJECTIVE: To examine racial and ethnic disparities and associated factors of insufficient sleep among children from infancy to preschool-aged. METHODS: We analyzed parent-reported data on US children ages 4 months-5 years (n = 13,975) from the 2018 and 2019 National Survey of Children's Health. Children who slept less than the age-specific minimum hours recommended by the American Academy of Sleep Medicine were classified as having insufficient sleep. Logistic regression was used to estimate unadjusted and adjusted odds ratios (AOR). RESULTS: An estimated 34.3% of children from infancy to preschool-aged experienced insufficient sleep. Socioeconomic factors (poverty [AOR] = 1.5, parents' education level [AORs] from 1.3 to 1.5); parent-child interaction variables (AORs from 1.4 to 1.6); breast feeding status (AOR = 1.5); family structure (AORs from 1.5 to 4.4); and weeknight bedtime regularity (AORs from 1.3 to 3.0) were significantly associated with having insufficient sleep. Non-Hispanic Black (OR = 3.2) and Hispanic children (OR = 1.6) had significantly higher odds of insufficient sleep compared to non-Hispanic White children. Racial and ethnic disparities in insufficient sleep between non-Hispanic White children and Hispanic children were largely attenuated by adjusting for social economic factors. However, the difference in insufficient sleep between non-Hispanic Black and non-Hispanic White children remains (AOR = 1.6) after adjusting socioeconomic and other factors. CONCLUSIONS: More than one-third of the sample reported insufficient sleep. After adjusting for socio-demographic variables, racial disparities in insufficient sleep decreased but persistent disparities existed. Further research is warranted to examine other factors and develop interventions to address multilevel factors and improve sleep health among racial and ethnic minority group children.

Sleep Characteristics and Measures of Glucose Metabolism in Blacks: The Jackson Heart Study.

Background Characterizing associations of sleep characteristics with blood-glucose-level factors among blacks may clarify the underlying mechanisms of impaired glucose metabolism and help identify treatment targets to prevent diabetes mellitus in blacks. Methods and Results Cross-sectional analyses were conducted in 789 blacks who completed home sleep apnea testing and 7-day wrist actigraphy in 2012-2016. Sleep-disordered breathing measurements included respiratory event index associated with 4% oxygen desaturation and minimum oxygen saturation. Sleep patterns on actigraphy included fragmented sleep indices. Associations between sleep characteristics (8 exposures) and measures of glucose metabolism (3 outcomes) were determined using multivariable linear regression. Mean (SD) age of the participants was 63 (11) years; 581 (74%) were women; 198 (25%) were diabetes mellitus, and 158 (20%) were taking antihyperglycemic medication. After multivariable adjustment, including antihyperglycemic medication use, the betas (95% CI) for fasting glucose and hemoglobin A1c, respectively, for each SD higher level were 0.13 (0.02, 0.24) mmol/L and 1.11 (0.42, 1.79) mmol/mol for respiratory event index associated with 4% oxygen desaturation and 0.16 (0.05, 0.27) mmol/L and 0.77 (0.10, 1.43) mmol/mol for fragmented sleep indices. Among 589 participants without diabetes mellitus, the betas (95% CI) for homeostatic model assessment of insulin resistance for each SD higher level were 1.09 (1.03, 1.16) for respiratory event index associated with 4% oxygen desaturation, 0.90 (0.85, 0.96) for minimum oxygen saturation, and 1.07 (1.01, 1.13) for fragmented sleep indices. Conclusions Sleep-disordered breathing, overnight hypoxemia, and sleep fragmentation were associated with higher blood glucose levels among blacks.

Ethnoracial sleep disparities among college students living in dormitories in the United States: a nationally representative study.

OBJECTIVES: Ethnoracial disparities in sleep health across the lifecourse, may underlie other disparities in health and well-being among adults in the United States (U.S.). We evaluated if socioenvironmental stressors, which likely differ by the race/ethnicity of college students, may contribute to sleep disparities in this demographic group. DESIGN/MEASUREMENTS: National Health Interview Survey data pooled from 2004 to 2017 were used to test the hypothesis that ethnoracial disparities in sleep exist among college students residing in dormitories in the U.S. SETTING: Nationally representative survey data. PARTICIPANTS: A total of 2,119 college students residing in dormitories (71% White, 16% Black/African-American, 7% Hispanic/Latino, and 6% Asian) participated in the study. RESULTS: The prevalence of short sleep duration was higher among Black/African-Americans than among White students, but not among Hispanics/Latinos and Asians, after adjusting for age, gender, and region of residence. In fully adjusted models, Black/African-Americans, although no longer statistically significant after adjustments, were more likely to report short sleep duration compared with White students (adjusted prevalence ratio; [aPR] = 1.30, 95% confidence interval [CI]: 0.98-1.71). The prevalence of separate insomnia symptoms did not differ by ethnoracial group in adjusted models. Only Asian students had a higher prevalence (aPR = 1.40, 95% CI: 1.12-1.75) of nonrestorative sleep than White students. CONCLUSION: Black/African-American but not Hispanic/Latino or Asian college students were more likely to report short sleep duration than Whites. Insomnia symptoms did not differ between groups, while Asians experienced more nonrestorative sleep. Future studies should investigate the socioenvironmental causes of disparities using longitudinal designs, larger sample sizes, better socioeconomic status (SES) indicators, and objective sleep measures.

Sleep deprivation does not work: Epidemiology, impacts and outcomes of incidental and systematic sleep deprivation in a sample of Palestinian detainees.

BACKGROUND: Sleep deprivation (SD) is a method used in the context of interrogations aimed to obtain submission, information and confessions. Its impact on producing false confessions has been documented. Even information obtained is true, it will be unreliable as it cannot be separated with what has been suggested by interrogators. The use of SD has been documented in the interrogation of detainees in Israel and two patterns can be identified: one incidental due to the conditions of detention set out here as secondary sleep deprivation (SSD), and one systematic, intentional and linked to continued interrogation, set out here as primary sleep deprivation (PSD). This paper aims to study the prevalence of PSD and SSD in a sample of Palestinian detainees, compare its usage before and after the 1999 Israeli Supreme Court judgment, and compare the impacts and outcomes of SD. METHOD: The study included a sample of 600 ex-detainees who answered questions related to psychological and coercive methods, subjective psychological impact, clinical measures, psychosocial measures, and medical impact. Classification of SD was built taking into consideration the items related to SD and interrogation. RESULTS: Most detainees reported SSD with around 13% reporting PSD. Prevalence of PSD has been found larger among people over 25 years old who were detained before 1999. Related to the psychological suffering from the overall detention environment including SD, detainees with PSD and SSD reported significantly higher acute and chronic suffering. It has also been found that detainees with PSD reported long term family, social and physical impacts. Regarding the outcome of SD, the number of signed confessions with either true or false statements increases with SD, but in this case, this did not lead neither to a significantly higher number of convictions nor longer sentences. CONCLUSION: Sleep deprivation in the framework of interrogations seems ineffective.

A Narrative Review of the Literature on Insufficient Sleep, Insomnia, and Health Correlates in American Indian/Alaska Native Populations.

Insufficient sleep and insomnia promote chronic disease in the general population and may combine with social and economic factors to increase rates of chronic health conditions among AI/AN people. Given that insufficient sleep and insomnia can be addressed via behavioral interventions, it is critical to understand the prevalence and correlates of these disorders among AI/AN individuals in order to elucidate the mechanisms associated with health disparities and provide guidance for subsequent treatment research and practice. We reviewed the available literature on insufficient sleep and insomnia in the AI/AN population. PubMed, PsycINFO, Google Scholar, and ProQuest were searched between June 12th and October 28th of 2018. Prevalence of insufficient sleep ranged from 15% to 40%; insomnia prevalence ranged from 25% to 33%. Insufficient sleep was associated with unhealthy diet, low physical activity levels, higher BMI, worse self-reported health, increased risk for diabetes mellitus, cardiovascular disease, frequent mental distress, smoking, binge drinking, depression, and chronic pain. Insomnia was associated with depression, childhood abuse, PTSD, anxiety, alcohol use, low social support, and low trait-resilience levels. Research on evidence-based treatment and implementation practices targeting insufficient sleep and insomnia was lacking, and only one study described the development/validation of a measure of insufficient sleep among AI/AN people. There is a need for rigorous sleep research including testing and implementation of evidence-based treatment for insufficient sleep and insomnia in this population in an effort to help eliminate health disparities. We present recommendations for research and clinical practice based on the current review.

Do Disparities in Sleep Duration Among Racial and Ethnic Minorities Contribute to Differences in Disease Prevalence?

Sleep duration in the USA has declined continually during the second half of the twentieth century, before reaching a plateau in the early twenty-first century. However, not everyone has been equally affected by this continuous decline. Epidemiological studies indicate that ethnic minorities are sleeping even less than those in the general population. Today, Americans are sleeping, on average, for 6 h. This is significantly below the minimum recommended sleep duration of at least 7 h a day. This insufficiency of sleep duration, however, is not evenly distributed in the population, and different racial and ethnic minority groups are known to have an increased risk of experiencing shorter sleep duration and poorer sleep quality than their White peers. In tandem with this disproportionate decline in sleep duration are similar racial and ethnic disparities in overall health. This paper explores the differences in sleep duration and quality which exist for different ethnic groups, the probable causes behind such inequities, and their relationship to the growth of specific disease conditions. This review also considers sleep disorders in various racial and ethnic groups, and how these disorders are related to health outcomes. Finally, we discuss some of the implications of these differences, and particularly their clinical relevance, and recommend ways in which they might be addressed.

"Let's talk about sleep": a qualitative examination of levers for promoting healthy sleep among sleep-deprived vulnerable adolescents.

OBJECTIVE: Deficient sleep is highly prevalent in disadvantaged adolescents and contributes to a range of adverse health and behavioral outcomes. We examined mediating mechanisms and strategies that adolescents adopt to improve sleep, and possible levers for promoting sleep in this population. METHODS: We conducted three focus groups (N = 27 total, age 14-18 years) in adolescents living in low- and middle-income racially/ethnically diverse neighborhoods of Boston, Massachusetts. Participants completed a survey on their sleep and health habits prior to the moderator-led discussions. Discussions were audio-recorded, transcribed, and thematically analyzed. RESULTS: The study population did not meet the minimum sleep recommendations, and we found a high prevalence of "social jet-lag." We also identified a disconnect between the acknowledgment of the importance of sleep and actual behavior, especially for electronic use. Phone use and screen time were the most commonly cited barriers to a good night's sleep, along with caffeine consumption, which was also high in this sample. There was also a general lack of awareness of sleep hygiene practices and recommendations. Participants reported regulating food intake and physical activity, using allopathic sleep aids, creating a comfortable sleeping environment, and a routine as some strategies to improve sleep. CONCLUSION: Results from this study suggest facilitating the linkage between participant-generated mediating factors and strategies for better-designed interventions. These include making the negative impact of sleep on health more explicit, improving youth awareness about sleep hygiene, targeting caffeine consumption and electronic use, and introducing sleep recommendations through appropriate and effective channels.

Sleep debt at the community level: impact of age, sex, race/ethnicity and health.

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.

Disparities in Hypertension Among African-Americans: Implications of Insufficient Sleep.

PURPOSE OF REVIEW: Sleep deficiency has been proposed as a potential contributor to racial disparities in cardiovascular health. We present contemporary evidence on the unequal burden of insufficient sleep in Blacks/African-Americans and the repercussions for disparate risk of hypertension. RECENT FINDINGS: The prevalence of insufficient sleep is high and rising and has been recognized as an important cardiovascular risk factor. Presumably due to a constellation of environmental, psychosocial, and individual determinants, these risks appear exacerbated in Blacks/African-Americans, who are more likely to experience short sleep than other ethnic/racial groups. Population-based data suggest that the risk of hypertension associated with sleep deficiency is greater in those of African ancestry. However, there is a paucity of experimental evidence linking short sleep duration to blood pressure levels in African-Americans. Blacks/African-Americans may be more vulnerable to sleep deficiency and to its hypertensive effects. Future research is needed to unequivocally establish causality and determine the mechanism underlying the postulated racial inequalities in sleep adequacy and consequent cardiovascular risk.

Sleep deficiency among Native Hawaiian/Pacific Islander, Black, and White Americans and the association with cardiometabolic diseases: analysis of the National Health Interview Survey Data.

PURPOSE: Examine sleep deficiency, factors, and associations with cardiometabolic diseases in United States Native Hawaiian/Pacific Islanders (NHPI), Blacks, and Whites. DESIGN: Data from the 2014 National Health Interview Survey and NHPI National Health Interview Survey household interviews of adults were analyzed. PARTICIPANTS: Of 31,724 participants, 7% were NHPI, 14% were Black, and 79% were White. METHODS: Habitual sleep duration and quality, sociodemographic/economic covariates, health behaviors, psychological distress, and chronic diseases were self-reported. Sleep duration was coded as very short (VSS; <5 hours), short (SS; 5-6 hours), long (LS; >8 hours), or healthy (7-8 hours). Using multivariate logistic regressions, the association between sleep duration and diseases was assessed after adjusting for covariates. RESULTS: NHPI were more likely to report sleep <7 hours compared to Whites (40.2% NHPI, 29.3% White) and less LS than Blacks (7% NHPI, 9.2% Black), report poor sleep quality, and use fewer sleep medications. VSS was related to smoking and psychological distress in NHPI men. VSS was associated with hypertension and SS with diabetes in NHPI, even in adjusted models. The relationship between SS and diabetes was higher in NHPI (risk ratio [RR]: 1.40, 95% confidence interval [CI]: 1.03-1.90) than Whites (RR: 1.01, 95% CI: 0.90-1.14, P = .027) and Blacks (RR: 1.02, 95% CI: 0.85-1.23, P = .043) even after adjusting for other covariates. CONCLUSIONS: NHPI reported suboptimal sleep duration that was linked to hypertension and diabetes even after controlling for covariates. Additional prospective studies in NHPI are needed to understand biological, behavioral, and psychological factors of sleep deficiency and its impact on chronic diseases.

Sleep Hygiene and Sleep Outcomes in a Sample of Urban Children With and Without Asthma.

Objective: To assess sleep hygiene and the sleep environment of urban children with and without asthma, and examine the associations among urban stressors, sleep hygiene, and sleep outcomes. Methods: Urban children, 7-9 years old, with (N = 216) and without (N = 130) asthma from African American, Latino, or non-Latino White backgrounds were included. Level of neighborhood risk was used to describe urban stress. Parent-reported sleep hygiene and daytime sleepiness data were collected using questionnaires. Sleep duration and efficiency were assessed via actigraphy. Results: Higher neighborhood risk, not asthma status, was associated with poorer sleep hygiene. Controlling for neighborhood risk, sleep hygiene was related to daytime sleepiness. Asthma status, not sleep hygiene, was related to sleep efficiency. In children with asthma, poorer sleep hygiene was associated with shorter sleep duration. Conclusion: Considering urban stressors when treating pediatric populations is important, as factors related to urban stress may influence sleep hygiene practices and sleep outcomes.

Sleep duration and quality, and risk of gestational diabetes mellitus in pregnant Chinese women.

AIMS: To examine the association between sleep disturbances during pregnancy and risk of gestational diabetes mellitus. METHODS: From 2010 to 2012, 12 506 women in Tianjin, China, were screened using a 50-g 1-h glucose challenge test at 24-28 weeks' gestation. Those with glucose challenge test values of ≥ 7.8 mmol/l were invited to further undergo a 75-g 2-h oral glucose tolerance test. Gestational diabetes was determined according to the International Association of Diabetes and Pregnancy Study Group's definition. Self-reported sleep duration and sleep quality during pregnancy was documented using a modified questionnaire. Logistic regression was used to obtain odds ratios and 95% CIs. RESULTS: A total of 919 women (7.3%) had gestational diabetes. Sleep duration was found to have an approximate J-shaped association with gestational diabetes risk after adjusting for covariates. Compared with a sleep duration of 7-9 h/day (43% of 12 506 women), the adjusted odds ratios for sleep duration of ≥ 9 h/day (55%) and < 7 h/day (2%) for gestational diabetes were 1.21 (95% CI 1.03-1.42) and 1.36 (95% CI 0.87-2.14), respectively. Compared with good sleep quality (37.9% of 12 506 women), the adjusted odds ratios of moderate (59.9%) and poor sleep quality (2.2%) for gestational diabetes were 1.19 (95% CI 1.01-1.41) and 1.61 (95% CI 1.04-2.50), respectively. CONCLUSION: In pregnant Chinese women, poor sleep quality, and shorter and longer duration of sleep during pregnancy were independently associated with an increased risk of gestational diabetes.

Sleep time and pattern of adult individuals in primary care in an Asian urbanized community: A cross-sectional study.

Sleep norms vary between individuals, being affected by personal, communal, and socioeconomic factors. Individuals with sleep time which deviate from the population norm are at risks of adverse mental, cardiovascular, and metabolic health. Sleep-related issues are common agenda for consultation in primary care. This study aimed to determine the sleep time, pattern, and behavior of multiethnic Asian individuals who attended public primary care clinics in an urban metropolitan city-state.Standardized questionnaires were assistant-administered to adult Asian individuals who visited 2 local public primary care clinics in north-eastern and southern regions of Singapore. The questionnaire included questions on demographic characteristics, self-reported sleep time, patterns, and behavior and those originated from the American National Sleep Foundation Sleep Diary. The data were collated, audited, rectified, and anonymized before being analyzed by the biostatistician. Individuals with 7 h sleep time or longer were deemed getting adequate sleep. Chi-squared or Fisher exact test was used to test the association between the demographic and behavioral variables and sleep time. Next, regression analysis was performed to identify key factors associated with their sleep time.A total of 350 individuals were recruited, with higher proportion of those of Chinese ethnicity reporting adequate sleep. Almost half (48.1%) of those who slept <7 h on weekdays tended to sleep ≥7 h on weekends. More individuals who reported no difficulty falling asleep, had regular sleep hours and awakening time, tended to sleep adequately. Those who slept with children, studied, read leisurely, used computer or laptops in their bedrooms, drank caffeinated beverages or smoked had inadequate sleep. Those who perceived sufficient sleep and considered 8 h as adequate sleep time had weekday and weekend sleep adequacy.Sleep time varied according to ethnicity, employment status, personal behavior, and perception of sleep sufficiency. Awareness of sleep time and pattern allows the local physicians to contextualize the discussion of sleep adequacy with their patients during consultation, which is a prerequisite to resolve their sleep-related issues.

Sleep Duration and Diabetes Risk in American Indian and Alaska Native Participants of a Lifestyle Intervention Project.

STUDY OBJECTIVES: We examine the association between self-reported sleep duration and diabetes incidence in a national sample of American Indians/ Alaska Natives (AI/ANs) with prediabetes. METHODS: Data were derived from the Special Diabetes Program for Indians Diabetes Prevention demonstration project. This longitudinal analysis included 1,899 participants with prediabetes recruited between January 1, 2006 and July 31, 2009 who reported sleep duration and completed all 16 classes of the lifestyle intervention consisting of diet, exercise, and behavior modification sessions to promote weight loss. Three years of follow-up data were included to fit Cox regression models to compute hazard ratios (HRs) for diabetes incidence across sleep duration categories. RESULTS: The crude diabetes incidence rate was 4.6 per 100 person-years among short sleepers (≤ 6 h per night) compared to 3.2 among those sleeping 7 h and 3.3 among those sleeping 8 h or more. After adjustment for age and sex, short sleep (≤ 6 h vs. others) was associated with increased diabetes risk (HR 1.55 [95% confidence interval 1.11-2.17]); risk remained significantly elevated after controlling for socioeconomic characteristics, health behaviors, and health status. When adjusting for body mass index and percent weight loss, the short sleep-diabetes relationship was attenuated (HR 1.32 [95% confidence interval 0.92-1.89]). No significant long sleep-diabetes association was found. Further, short sleepers lost significantly less weight than others (3.7% vs. 4.3%, P = 0.003). CONCLUSIONS: Short sleep duration, but not long duration, was significantly associated with increased diabetes risk and less weight loss among AI/ANs in a lifestyle intervention. Further exploration of the complex factors underlying short sleep duration is warranted.

Racial/Ethnic and Socio-Contextual Correlates of Chronic Sleep Curtailment in Childhood.

STUDY OBJECTIVES: To examine the association between race/ethnicity and sleep curtailment from infancy to mid-childhood, and to determine the extent to which socioeconomic and contextual factors both explain racial/ethnic differences and are independently associated with sleep curtailment. METHODS: We studied 1,288 children longitudinally in Project Viva, a pre-birth cohort study, from 6 months to 7 years of age. The main exposure was the child's race/ethnicity. The main outcome was a sleep curtailment score from 6 months to 7 years. The score ranged from 0-13, where 0 indicated maximal sleep curtailment and 13 indicated never having curtailed sleep. RESULTS: The mean (standard deviation) sleep curtailment score was 10.2 (2.7) points. In adjusted models (ß [95% CI]), black (-1.92, [-2.39, -1.45] points), Hispanic (-1.58, [-2.43, -0.72] points), and Asian (-1.71, [-2.55, -0.86] points) children had lower sleep scores than white children. Adjustment for sociodemographic covariates attenuated racial/ethnic differences in sleep scores for black (by 24%) and Hispanic children (by 32%) but strengthened the differences for Asian children by 14%. Further adjustment for environmental and behavioral variables did not substantially change these differences. Independently, low maternal education, living in households with incomes < $70,000, viewing more TV, and having a TV in the child's bedroom were associated with lower sleep scores. CONCLUSIONS: Chronic sleep curtailment from infancy to mid-childhood was more prevalent among black, Hispanic, and Asian children. These differences were partially but not entirely explained by socio-contextual variables. Independently, children from lower socioeconomic status and those with greater exposures to TV also had greater sleep curtailment.

Racial/ethnic disparities in self-reported short sleep duration among US-born and foreign-born adults.

OBJECTIVE: Racial/ethnic health disparities are infrequently considered by nativity status in the United States, although the immigrant population has practically doubled since 1990. We investigated the modifying role of nativity status (US- vs. foreign-born) on racial/ethnic disparities in short sleep duration (<7 h), which has serious health consequences. DESIGN: Cross-sectional data from 23,505 US-born and 4,326 foreign-born adults aged ≥ 18 years from the 2012 National Health Interview Survey and multivariable log-linear regression were used to estimate prevalence ratios (PR) for reporting short sleep duration and their corresponding 95% confidence intervals (CI). RESULTS: After controlling for sociodemographic covariates, short sleep was more prevalent among blacks (PR 1.29, 95% CI: 1.21-1.37), Hispanics (PR 1.18, 95% CI: 1.08, 1.29), and Asians (PR 1.37, 95% CI: 1.16-1.61) than whites among US-born adults. Short sleep was more prevalent among blacks (PR 1.71, 95% CI: 1.38, 2.13) and Asians (PR 1.23, 95% CI: 1.02, 1.47) than whites among the foreign-born. CONCLUSION: Among both US- and foreign-born adults, blacks and Asians had a higher likelihood of short sleep compared to whites. US-born Hispanics, but not foreign-born Hispanics, had a higher likelihood than their white counterparts. Future research should aim to uncover mechanisms underlying these disparities.

Social and behavioral predictors of insufficient sleep among African Americans and Caucasians.

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.

Longitudinal differences in sleep duration in Hispanic and Caucasian children.

BACKGROUND AND AIM: Short sleep duration is associated with significant negative consequences, including poor school performance, behavioral problems, obesity, and hypertension. There is prior evidence that there are disparities in sleep duration related to ethnicity; however, there are no specific data on Hispanic children. We aimed to test the hypothesis that there are ethnic differences in parent-reported sleep duration in a community-based cohort of Hispanic and Caucasian children. METHODS: We examined the parent-reported sleep patterns of a community-based prospective cohort (Tucson Children's Assessment of Sleep Apnea study [TuCASA]) involving 338 Hispanic and Caucasian children at two time points approximately five years apart. RESULTS: In the initial phase of the TuCASA study with a cohort median age of 8.8 years (interquartile range (IQR), 7.6-10.1 years), parent-reported sleep duration during weekdays was shorter in Hispanic (median, 9.5 h; IQR, 9.0, 10.0 years) than in Caucasian children (10 h; IQR, 9.5, 10.0 h; p < 0.0001); however, this difference was not seen 5 years later when the cohort was older (median age, 13.3 years; IQR, 11.9-14.6 years; p = 0.43). In addition, Hispanic children had a significantly later bedtime at both time points (p < 0.02). In the initial phase, parent-reported sleep duration during weekends tended to be shorter in Hispanic than in Caucasian children (p = 0.06). CONCLUSIONS: Short sleep duration in Hispanic children may contribute to health disparities. Our research suggests that in Hispanic children, behavioral interventions toward improving sleep duration accomplished by earlier bedtimes or delayed school start times and mechanistic studies to unravel any inherent tendency toward a delayed sleep phase are needed.

Ethnic-specific associations of sleep duration and daytime napping with prevalent type 2 diabetes in postmenopausal women.

OBJECTIVE: The objective of this study was to evaluate ethnic differences in the associations of nighttime sleep and daytime napping durations with prevalent type 2 diabetes. METHODS: Samples of White (n = 908), Filipina (n = 330), and Black (n = 371) community-dwelling, postmenopausal women aged 50-86 years were evaluated with cross-sectional data obtained during 1992-1999 including self-reported duration of nighttime sleep and daytime napping, behaviors, medical history, and medication use. The prevalence of type 2 diabetes was evaluated with a 2-h 75-g oral glucose tolerance test. RESULTS: Overall, 10.9% of White, 37.8% of Filipina, and 17.8% of Black women had type 2 diabetes. Average sleep durations were 7.3, 6.3, and 6.6 h and napping durations were 16.8, 31.7, and 25.9 min for White, Filipina, and Black women, respectively. Sleep duration showed a significant (p < 0.01) nonlinear association with type 2 diabetes in Filipina women, with increased odds of diabetes at both low and high sleep durations independent of age, body mass index (BMI), triglyceride to high-density lipoprotein (HDL) ratio, hypertension, and daytime napping duration. Daytime napping duration was associated with type 2 diabetes only among White women; those napping ≥ 30 min/day had 74% (95% confidence interval (CI) = 10%, 175%) higher odds of diabetes compared to non-nappers independent of covariates including nighttime sleep duration. CONCLUSIONS: Results suggest ethnic-specific associations of nighttime sleep and daytime napping durations with type 2 diabetes.

Mexican American adolescents' sleep patterns: contextual correlates and implications for health and adjustment in young adulthood.

Late adolescence is a period of substantial risk for unhealthy sleep patterns. This study investigated the contextual correlates and health and adjustment implications of sleep patterns among Mexican American youth (N = 246; 51% female). We focused on Mexican American youth because they represent a large and rapidly increasing subgroup of the US population that is at higher risk for health and adjustment problems; this higher risk may be explained, in part, by sleep patterns. Using data from seven phone diary interviews conducted when youth averaged 18 years of age, we assessed average nighttime sleep duration and night-to-night variability in sleep duration. Guided by socio-ecological models, we first examined how experiences in the family context (time spent and quality of relationships with parents, parents' familism values) and in extra-familial contexts (school, work, peers) were related to sleep duration and variability. The findings revealed that time spent in school, work, and with peers linked to less sleep. Further, conflict with mothers was related to greater sleep variability. Next, we tested the implications of sleep in late adolescence for health (perceived physical health, body mass index) and adjustment (depressive symptoms, risky behaviors) in young adulthood. These findings indicated that more sleep variability predicted relative decreases in health and increases in risky behaviors, and shorter sleep duration predicted relative decreases in poorer perceived health for males. The discussion highlights the significance of the transition to young adulthood as a target for sleep research and the importance of studying sleep within its socio-cultural context.