Delayed Sleep Time in African Americans and Depression in a Community-Based Population

Short Sleep and Insomnia Are Associated With Accelerated Epigenetic Age

OBJECTIVE

Short sleep and insomnia are each associated with a greater risk of age-related disease, which suggests that insufficient sleep may accelerate biological aging. We examine whether short sleep and insomnia alone or together relates to epigenetic age among older adults.

METHODS

A total of 3795 men (46.3%) and women aged 56 to 100 years from the Health and Retirement Study were included. Insomnia was defined as reporting at least one insomnia symptom (difficulty falling asleep, waking up at night, or waking up too early in the morning) and feeling unrested when waking up most of the time. Those reporting <6 hours of bedtime were categorized as short sleepers. Three second- or third-generation epigenetic age acceleration clocks were derived from the 2016 Health and Retirement Study Venous Blood Study. The linear regression analysis was adjusted for age, sex, race/ethnicity, education, and obesity status.

RESULTS

Insomnia and short sleep were associated with acceleration of GrimAge of 0.49 (95% confidence interval [CI] = 0.03-0.94 years; p = .04) and 1.29 (95% CI = 0.52-2.07 years; p = .002) years, respectively, as well as a faster pace of aging (DunedinPACE; 0.018 [95% CI = 0.004-0.033; p = .02] and 0.022 [95% CI = -0.004 to 0.048; p = .11]). Compared with healthy sleepers, individuals with the combination of short sleep and insomnia had an accelerated GrimAge (0.97 years; 95% CI = 0.07-1.87 years, p = .04) and a greater DunedinPACE (0.032; 95% CI = 0.003-0.060, p = .04).

CONCLUSIONS

Our findings indicate that short sleep, insomnia, and the combination of the two are linked to epigenetic age acceleration, suggesting that these individuals have an older biological age that may contribute to risk of comorbidity and mortality.

Demographic and clinical risk factors for diagnosis of sleep disorders in ESRD patients

BACKGROUND

Sleep disturbances in patients with end-stage renal disease (ESRD) are common and more prevalent than in the general population. This study aims to assess the demographic and clinical risk factors for the diagnosis of sleep disorders in ESRD patients.

METHODS

This study is a retrospective analysis of the United States Renal Data System (USRDS) to evaluate risk factors for the diagnosis of sleep disorders, including hypersomnolence, insomnia, restless leg syndrome (RLS), or obstructive or central sleep apnea (OSA/CSA). All ESRD subjects enrolled in the USRDS between 2004-2015 were eligible for inclusion. The risk factors analyzed were age, race, sex, ethnicity, access type, dialysis modality, and the Charlson Comorbidity Index (CCI). All statistical analysis was performed using SAS 9.4, and statistical significance was assessed using an alpha level of 0.05. Descriptive statistics on all variables overall and by each sleep diagnosis were determined.

RESULTS

Increasing age, black race, other race, and Hispanic ethnicity were associated with decreased risk of each sleep diagnosis while CCI was associated with increased risk. Females were at increased risk of RLS and insomnia while males were at increased risk of OSA/CSA. Catheter and graft access decreased risk of RLS but increased risk of insomnia compared to AVF access. Catheter access increased risk of OSA/CSA compared to graft access. Hemodialysis increased risk of OSA/CSA compared to peritoneal dialysis.

CONCLUSIONS

Some ESRD patients are at an increased risk for diagnosis of sleep disorders based on age, race, sex, comorbid health conditions, and dialysis modality.

Understanding the determinants of circadian health disparities and cardiovascular disease

Emerging research suggests that sleep contributes to racial disparities in cardiovascular disease (CVD). Racial/ethnic minorities are disproportionately affected by poor cardiovascular outcomes including obesity, hypertension and diabetes. Although circadian rhythms affect sleep patterns, few studies have examined disparities in circadian health or the contribution of circadian disparities to CVD. In this paper, we provide an overview of the relation between circadian health and CVD in the context of health disparities. We discuss (1) the current knowledge on racial disparities in circadian health; (2) social and environmental determinants of circadian health disparities; (3) the cardiovascular consequences of circadian disparities; and (4) future opportunities to advance the field of circadian disparities. In brief, our findings demonstrated that among a small literature, racial minorities (mainly African American) were more likely to have a shorter circadian period, delayed phase shifts, and were more likely to be shift workers, which are associated with CVD risk factors. Given racial minorities are disproportionately affected by CVD and CVD risk factors, it is important to further understand circadian health as an intervention target and support more research among racial minorities to understand circadian health in these populations.

Sleep duration and chronotype of pregnant women in the United States: An online cross-sectional survey study

Sleep is an important behavior, and during pregnancy plays a critical role in promoting the health of both woman and child. Therefore, identifying and addressing sleep parameters during pregnancy, and associated disparities in maternal-child health outcomes, is a public health priority. This studied aimed to examine chronotype and sleep duration in pregnant women by sociodemographic factors. An online survey was distributed to currently pregnant women living in the greater Washington, DC, area of the United States from March to May of 2022. The survey included the ultra-short version of the Munich Chronotype Questionnaire (µMCTQ), which was used to calculate the mid-point of sleep time (MST; a measure of chronotype) and sleep duration, as well as demographic questions. Linear regression was used to assess differences in sleep outcomes by demographic factors. A sample of n = 142 currently pregnant women were eligible for analysis. In covariate adjusted models, sleep duration was longer among respondents ages 25-34 (09:52) compared with younger respondents ages 18-24 (08:59; p = 0.014), and shorter for those with a household income ≥ 100,000 United States dollars (USD) (07:42) compared with those with a household income < 50,000 USD (08:59; p = 0.001). No differences in mean mid-point of sleep were identified across demographic factors. Differences in sleep duration by age and household income were found among currently pregnant women. Future studies should investigate sleep parameters and other factors that may influence maternal-child health disparities.

Sleep Disturbance is Associated with Missing PrEP Doses Among Young Black Sexual Minority Men in The N2 study

PrEP uptake and adherence among young Black sexual minority men (YBSMM), has been sub-optimal. Multiple studies identified sleep as an important determinant of medication adherence, although it has not been examined with regard to PrEP among YBSMM. This study utilized data collected from HIV-negative cisgender YBSMM in the Neighborhoods and Networks (N2) study in Chicago using PrEP (N = 70). Sleep quality was measured using the PHQ-9 and PrEP adherence questions were adapted from Reynolds et al., 2004. Bivariate and multivariable regression analyses were used to estimate associations between sleep and missing PrEP doses, controlling for relevant demographic and behavioral factors. YBSMM who reported sleep disturbance a moderate amount of time (aOR 7.59 [1.05 to 54.57]) were more likely to miss taking PrEP because they had too many pills to take. Sleep quality is an overlooked determinant of medication adherence, and may negatively impact YBSMM's ability to consistently take PrEP.

Impact of objectively-measured sleep duration on cardiometabolic health: A systematic review of recent evidence

Cardiometabolic disease is a spectrum of diseases including, cardiovascular diseases, and metabolic syndrome. It is the leading cause of morbidity and mortality worldwide, with premature deaths being preventable. Currently, sleep has emerged as a potential target for cardiometabolic disease prevention. Several epidemiological studies have provided ample evidence that objectively measured short sleep duration increases the risk of cardiometabolic disease. However, the findings are inconsistent, and few studies measure sleep duration on cardiometabolic profiles objectively. Therefore, in this review, we focused on the recently published literature that explored the association between objectively measured sleep duration and cardiometabolic profiles (cardiovascular diseases, type 2 diabetes mellitus, and metabolic syndrome), seeking more insights regarding the applicability and, in turn, the impact of objectively measured sleep duration on cardiometabolic health, which is relatively understudied. We retrieved the information manually from PubMed, Google Scholar, HINARI, and the Cochrane Library from 2015 to 2022 using appropriate search terms, we included 49 articles. In this review, we found a strong relationship between objectively measured sleep duration and the risk of cardiometabolic disease, indicating that objectively measured short sleep durations increase cardiometabolic risks. In general, the association between objectively measured sleep duration and increased cardiometabolic risks (CMR) has been well-documented in higher-income countries. Several studies found that longer sleep duration was associated with a more favorable cardiometabolic profile in early adolescence, independent of other risk factors. On the other hand, objectively measured short sleep duration is associated with adverse cardiometabolic health outcomes such as coronary heart disease, hypertension, type 2 diabetes mellitus, and metabolic syndrome.

Differences in sleep timing and related effects between African Americans and non-Hispanic Whites

STUDY OBJECTIVES

Prior studies have shown a morning chronotype for African Americans compared with non-Hispanic Whites, yet self-reported sleep timing is delayed in African Americans compared with Whites.

METHODS

We analyzed data from the Multi-Ethnicity Study of Atherosclerosis, a multisite community-based cohort. Self-reported and actigraphic sleep timing, chronotype measured by the modified Horne-Östberg Morningness-Eveningness Questionnaire, and risk of depression measured by the Center for Epidemiologic Studies Depression scale were examined using nonparametric approaches and linear or logistic regression while comparing between African Americans and Whites and evaluating the effects of delayed sleep phase.

RESULTS

In 1,401 participants, there was no difference in chronotype between African Americans and Whites. African Americans were 80% more likely to report a delayed sleep phase (defined as bedtime after midnight) on weekdays and 50% more likely on weekends than were Whites. Actigraphic data showed similar results. Actigraphic midsleep time was delayed 38 minutes on weekdays and 24 minutes on weekends in African Americans compared with Whites. Stratified analysis by chronotype showed that African Americans with a morning or intermediate chronotype had a significantly delayed sleep phase compared with Whites, but there was no difference between African Americans and Whites with an evening chronotype. Delayed sleep phase was associated with depression, but this relationship was only significant in White participants.

CONCLUSIONS

African Americans had a delayed sleep phase compared with Whites that was more pronounced in individuals with a morning or intermediate chronotype. Consequences of delayed sleep phase may vary by race and ethnicity.

Insomnia Symptoms among African-American Older Adults in Economically Disadvantaged Areas of South Los Angeles

BACKGROUND

Although psychosocial and health factors impact insomnia symptoms, less is known about these effects in economically disadvantaged African-American older adults.

AIMS

This study investigated social and health determinants of insomnia symptoms among economically disadvantaged African-American older adults.

METHODS

This survey enrolled 398 African-American older adults (age ≥ 65 years) from economically disadvantaged areas of South Los Angeles. Gender, age, educational attainment, financial difficulty, number of chronic diseases, self-rated health, pain intensity, and depression were covariates. Total insomnia, insomnia symptoms, and insomnia impact were our outcomes. Linear regression was applied for data analysis.

RESULTS

Based on linear regression, higher financial difficulty (B = 0.48, 95% CI = 0.35-0.61), smoking status (B = 1.64, 95% CI = 0.13-3.16), higher pain intensity (B = 0.39, 95% CI = 0.11-0.67), higher number of chronic diseases (B = 0.34, 95% CI = 0.05-0.64), and more depressive symptoms (B = 0.35, 95% CI = 0.12-0.57) were associated with a higher frequency of insomnia symptoms. Based on a logistic regression model, lower age (B = 0.91, 95% CI = 0.91-1.00) and high financial difficulty (OR = 1.15, 95% CI = 1.08-1.24), pain (OR = 2.08, 95% CI = 1.14-3.80), chronic disease (OR = 1.27, 95% CI = 1.07-1.51) and depression (OR = 2.38, 95% CI = 1.22-4.65) were associated with higher odds of possible clinical insomnia. We also found specific predictors for insomnia symptoms and insomnia impact.

CONCLUSIONS

Among African-American older adults in economically disadvantaged areas of South Los Angeles, insomnia symptoms co-occur with other economic, physical, and mental health challenges such as financial difficulty, smoking, multimorbidity, pain, and depression. There is a need to address sleep as a component of care of economically disadvantaged African-American older adults who have multiple social and health challenges.