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To examine social class discrimination as a mediator of socioeconomic disparities in sleep outcomes in an adolescent sample. Sleep was assessed from established actigraphy (efficiency, long wake episodes, duration) and self-report (sleep/wake problems, daytime sleepiness) measures among 272 high school students in the Southeastern region of the United States (35% low income; 59% White, 41% Black, 49% female, Mean age = 17.3, SD = 0.8). Social class discrimination was assessed using a new measure, the Social Class Discrimination Scale (SCDS; 22-items), and an established measure, the Experiences of Discrimination Scale (EODS; 7-items). Socioeconomic disadvantage (SED) was measured as an aggregate of six indicators. The SCDS was associated with sleep efficiency, long wake episodes, sleep/wake problems and daytime sleepiness (but not sleep duration), and significantly mediated the socioeconomic gradient in each sleep outcome. Black males experienced higher levels of social class discrimination than Black females, White males, or White females. A race by gender moderation effect was evident for two of the five sleep outcomes (sleep efficiency and long wake episodes) suggesting a stronger association between social class discrimination and sleep problems for Black females than White females but no clear race differences among males. The EODS was not associated with objective sleep outcomes or SED but was associated with self-reported sleep and showed a similar pattern of moderation effects. Findings suggest that social class discrimination may contribute to socioeconomic disparities in sleep problems, with some variability across measures and demographic groups. Results are discussed in light of evolving trends in socioeconomic health disparities. • Socioeconomically disadvantaged adolescents had poorer sleep. • Social class discrimination was linked to worse actigraphy-assessed sleep quality. • Social class discrimination predicted more self-reported sleep problems. • Social class discrimination partially explained socioeconomic disparities in sleep. [ABSTRACT FROM AUTHOR]

Policy PointsPolicies that increase county income levels, particularly for middle‐income households, may reduce low birth weight rates and shrink disparities between Black and White infants.Given the role of aggregate maternal characteristics in predicting low birth weight rates, policies that increase human capital investments (e.g., funding for higher education, job training) could lead to higher income levels while improving population birth outcomes.The association between county income levels and racial disparities in low birth weight is independent of disparities in maternal risks, and thus a broad set of policies aimed at increasing income levels (e.g., income supplements, labor protections) may be warranted. Context: Low birth weight (LBW; <2,500 grams) and infant mortality rates vary among place and racial group in the United States, with economic resources being a likely fundamental contributor to these disparities. The goals of this study were to examine time‐varying county median income as a predictor of LBW rates and Black‐White LBW disparities and to test county prevalence and racial disparities in maternal sociodemographic and health risk factors as mediators. Methods: Using national birth records for 1992–2014 from the National Center for Health Statistics, a total of approximately 27.4 million singleton births to non‐Hispanic Black and White mothers were included. Data were aggregated in three‐year county‐period observations for 868 US counties meeting eligibility requirements (n = 3,723 observations). Sociodemographic factors included rates of low maternal education, nonmarital childbearing, teenage pregnancy, and advanced‐age pregnancy; and health factors included rates of smoking during pregnancy and inadequate prenatal care. Among other covariates, linear models included county and period fixed effects and unemployment, poverty, and income inequality. Findings: An increase of $10,000 in county median income was associated with 0.34 fewer LBW cases per 100 live births and smaller Black‐White LBW disparities of 0.58 per 100 births. Time‐varying county rates of maternal sociodemographic and health risks mediated the association between median income and LBW, accounting for 65% and 25% of this estimate, respectively, but racial disparities in risk factors did not mediate the income association with Black‐White LBW disparities. Similarly, county median income was associated with very low birth weight rates and related Black‐White disparities. Conclusions: Efforts to increase income levels—for example, through investing in human capital, enacting labor union protections, or attracting well‐paying employment—have broad potential to influence population reproductive health. Higher income levels may reduce LBW rates and lead to more equitable outcomes between Black and White mothers. [ABSTRACT FROM AUTHOR]

With unprecedented increases, mortality trends in the United States have received significant attention in recent years. To date, research on this topic has emphasized specific causes of death and proximal behavioral or physiological determinants. In this commentary, I consider novel contributions of Zheng and Echave (Am J Epidemiol. 2021;190(11):2242–2255) in examining trends in mental health, health behaviors, and physiological dysregulation. I then discuss broader developments in related research and make a case for: 1) not allowing recent health trends among Whites to overshadow the urgent work that needs to be done to mitigate persistent racial inequities, 2) further investigation of what accounts for increases in income inequality and its life-span health consequences, and 3) broadening the scope of mechanisms considered to include underdiscussed topics such as the role of increases in social media use or environmental toxicant exposures. Underlying several potential explanations for observed trends in health and mortality is the fact that substantial change has occurred on multiple fronts in US society and that policy responses to these changes have been insufficient. An enhanced emphasis on innovative population health research will be essential to provide the evidence base needed for policy makers to rise to these urgent challenges. [ABSTRACT FROM AUTHOR]

Understanding the changing health consequences of childhood socioeconomic disadvantage (SED) is highly relevant to policy debates on inequality and national and state goals to improve population health. However, changes in the strength of association between childhood SED and adult health over historic time are largely unexamined in the United States. The present study begins to address this knowledge gap. Data were from 2 national samples of adults collected in 1995 (n  = 7,108) and 2012 (n  = 3,577) as part of the Midlife in the United States study. Three measures of childhood SED (parents' occupational prestige, childhood poverty exposure, and parents' education) were combined into an aggregate index and examined separately. The association between childhood SED (aggregate index) and 5 health outcomes (body mass index, waist circumference, chronic conditions, functional limitations, and self-rated health) was stronger in the 2012 sample than the 1995 sample, with the magnitude of associations being approximately twice as large in the more recent sample. Results persisted after adjusting for age, sex, race, marital status, and number of children, and were similar across all 3 measures of childhood SED. The findings suggest that the socioeconomic circumstances of childhood might have become a stronger predictor of adult health in recent decades. [ABSTRACT FROM AUTHOR]

Objectives: To examine changes in sleep problems over a 1.5-year period among Black or African American (AA) and White or European American (EA) college students and to consider the role of racial discrimination as a mediator of race differences in sleep problems over time.Method: Students attending a large, predominantly White university (N = 133, 41% AA, 57% female, mean age = 18.8, SD = .90) reported on habitual sleep characteristics and experiences of racial discrimination at baseline and follow-up assessments. A latent variable for sleep problems was assessed from reports of sleep latency, duration, efficiency, and quality. Longitudinal models were used to examine race differences in sleep problems over time and the mediating role of perceived discrimination. Covariates included age, gender, parent education, parent income, body mass index, self-rated physical health, and depressive symptoms. Each of the individual sleep measures was also examined separately, and sensitivity analyses were conducted using alternative formulations of the sleep problems measure.Results: AAs had greater increases in sleep problems than EAs. Perceived discrimination was also associated with increases in sleep problems over time and mediated racial disparities in sleep. This pattern of findings was similar when each of the sleep indicators was considered separately and held with alternative sleep problems measures.Conclusions: The findings highlight the importance of racial disparities in sleep across the college years and suggest that experiences of discrimination contribute to group disparities. (PsycINFO Database Record [ABSTRACT FROM AUTHOR]