A Changing Landscape of Health Opportunity in the United States: Increases in the Strength of Association Between Childhood Socioeconomic Disadvantage and Adult Health Between the 1990s and the 2010s

Childhood opportunity and appropriate use of child safety restraints in motor vehicle collisions

Objectives

Safety restraints reduce injuries from motor vehicle collisions (MVCs) but are often improperly applied or not used. The Childhood Opportunity Index (COI) reflects social determinants of health and its study in pediatric trauma is limited. We hypothesized that MVC patients from low-opportunity neighborhoods are less likely to be appropriately restrained.

Methods

A retrospective cross-sectional study was performed on children/adolescents ≤18 years old in MVCs between January 1, 2011 and December 31, 2021. Patients were identified from the Children's Hospital Los Angeles trauma registry. The outcome was safety restraint use (appropriately restrained, not appropriately restrained). COI levels by home zip codes were stratified as very low, low, moderate, high, and very high. Multivariable regression controlling for age identified factors associated with safety restraint use.

Results

Of 337 patients, 73.9% were appropriately restrained and 26.1% were not appropriately restrained. Compared with appropriately restrained patients, more not appropriately restrained patients were from low-COI (26.1% vs 20.9%), high-COI (14.8% vs 10.8%) and very high-COI (10.2% vs 3.6%) neighborhoods. Multivariable analysis demonstrated no significant associations in appropriate restraint use and COI. There was a non-significant trend that children/adolescents from moderate-COI neighborhoods were more likely than those from very low-COI neighborhoods to be appropriately restrained (OR=1.82, 95% CI 0.78, 4.28).

Conclusion

Injury prevention initiatives focused on safety restraints should target families of children from all neighborhood types.

Level of evidence

III.

"We adjusted for race": now what? A systematic review of utilization and reporting of race in American Journal of Epidemiology and Epidemiology, 2020-2021

Race is a social construct, commonly used in epidemiologic research to adjust for confounding. However, adjustment of race may mask racial disparities, thereby perpetuating structural racism. We conducted a systematic review of articles published in Epidemiology and American Journal of Epidemiology between 2020 and 2021 to (1) understand how race, ethnicity, and similar social constructs were operationalized, used, and reported; and (2) characterize good and poor practices of utilization and reporting of race data on the basis of the extent to which they reveal or mask systemic racism. Original research articles were considered for full review and data extraction if race data were used in the study analysis. We extracted how race was categorized, used-as a descriptor, confounder, or for effect measure modification (EMM)-and reported if the authors discussed racial disparities and systemic bias-related mechanisms responsible for perpetuating the disparities. Of the 561 articles, 299 had race data available and 192 (34.2%) used race data in analyses. Among the 160 US-based studies, 81 different racial categorizations were used. Race was most often used as a confounder (52%), followed by effect measure modifier (33%), and descriptive variable (12%). Fewer than 1 in 4 articles (22.9%) exhibited good practices (EMM along with discussing disparities and mechanisms), 63.5% of the articles exhibited poor practices (confounding only or not discussing mechanisms), and 13.5% were considered neither poor nor good practices. We discuss implications and provide 13 recommendations for operationalization, utilization, and reporting of race in epidemiologic and public health research.

Social class discrimination during adolescence as a mediator of socioeconomic disparities in actigraphy-assessed and self-reported sleep

OBJECTIVE

To examine social class discrimination as a mediator of socioeconomic disparities in sleep outcomes in an adolescent sample.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

Changing associations between socioeconomic status and self-reported discrimination from the 1990s to the 2010s in the United States

We examined whether prevalence of social class discrimination-and its association with psychological distress-has changed between 1990s and 2010s in the United States. Data were from the original Midlife in the United States (MIDUS) study with data collections in 1995-1996 (n = 2931) and 2004-2005 (n = 1708), and the new MIDUS Refresher sample from 2011 to 2014 (n = 2543). Socioeconomic status (SES) became more strongly associated with self-rated discrimination over time, with individuals with the lowest SES experiencing more discrimination (B = 0.75, p < .001) and those with the highest SES less discrimination (B = 0.36, p < .001) over time: at baseline, the difference in self-rated discrimination between the highest and lowest SES groups was 15.3% versus 10.8% (4.7% point difference). This difference increased to 20.0% versus 7.4% in the last study wave (12.6% point difference). Association between self-reported discrimination and psychological distress strengthened over time, but the associations between socioeconomic indicators and distress did not change. The results suggest that people with low SES had higher risk of encountering unfair and disrespectful treatment in the 2010s compared to the 1990s.

Neighborhood Socioeconomic Deprivation in Early Childhood Mediates Racial Disparities in Blood Pressure in a College Student Sample

The influence of childhood contexts on adult blood pressure is an important yet understudied topic. Using a developmental perspective, this study examines the association between neighborhood socioeconomic disadvantage in early childhood (0-5 yrs), middle childhood (6-12 yrs) and adolescence (13-18 yrs) on subsequent blood pressure in young adulthood. Data were from 263 college students (52% Black; M_age = 19.21 years) and neighborhood socioeconomic disadvantage was measured using a tract-level Area Deprivation Index. Neighborhood disadvantage in early childhood was significantly associated with diastolic blood pressure and explained 22% of the race difference between Black and White adults. The findings are consistent with the notion that early childhood may be a sensitive period for the effects of neighborhood disadvantage on blood pressure.

Retrospective reports of socioeconomic disadvantage in childhood and mortality risk: are associations consistent across measures and sex?

Although prior research has established associations between childhood socioeconomic disadvantage and all-cause mortality, there is still limited research investigating (1) the consistency between subjective and objective reports of childhood socioeconomic status, (2) sex differences in the associations between childhood socioeconomic disadvantage and all-cause mortality, and (3) potential mediators within these associations. Drawing on data from the Midlife in the United States (MIDUS) cohort (N = 7425), we examined the associations between three distinct indicators of childhood socioeconomic disadvantage and all-cause mortality risk, and whether these associations differ for males and females. Among males only, lower perceived relative childhood financial status, lower levels of parents' education, and receipt of welfare during childhood were associated with excess mortality risk, adjusted for age and minority status, with adjusted hazard ratios ranging from 1.24 (95% confidence interval (CI): 1.02, 1.51) for perceived childhood financial status to 1.28 (95% CI: 1.11, 1.47) for welfare in childhood. When additionally adjusted for education, substance use, depression, and underlying health conditions, only childhood welfare status maintained an association with mortality (AHR, 1.17; 95% CI, 1.02-1.35). Mediation analyses among males revealed that education, substance use, depression, and underlying health conditions accounted for substantial proportions of these associations, ranging from 31.03 to 57.63%, across indicators of childhood socioeconomic disadvantage. Future research is needed to clarify the developmental mechanisms that lead to sex differences and identify effective strategies to intervene on the relation between childhood socioeconomic position and excess mortality risk among males.