Instrumental Variable Analysis of Racial Discrimination and Blood Pressure in a Sample of Young Adults.

Racial inequities in blood pressure levels have been extensively documented. Experiences of racial discrimination could explain some of this disparity, although findings from previous studies have been inconsistent. To address limitations of prior literature, including measurement error, we implemented instrumental variable analysis to assess the relationship between racial discrimination in institutional settings and blood pressure. Using data from 3,876 Black and White adults with an average age of 32 years from examination 4 (1992-1993) of the Coronary Artery Risk Development in Young Adults Study, our primary analysis examined the relationship between self-reported experiences of racial discrimination in institutional settings and blood pressure using reflectance meter measurement of skin color as an instrument. Findings suggested that an increase in experiences of racial discrimination was associated with higher systolic and diastolic blood pressure (ß = 2.23 mm Hg (95% confidence interval: 1.85, 2.61) and ß = 1.31 (95% confidence interval: 1.00, 1.62), respectively). Our instrumental variable estimates suggest that experiences of racial discrimination within institutional settings contribute to racial inequities in elevated blood pressure and cardiovascular disease outcomes in a relatively young cohort of adults and may yield clinically relevant differences in cardiovascular health over the life course.

Integrating Racism as a Sentinel Indicator in Public Health Surveillance and Monitoring Systems.

Objectives. To evaluate public health surveillance and monitoring systems' (PHSMS) efforts to collect, monitor, track, and analyze racism. Methods. We employed an environmental scan approach. We defined key questions and data to be collected, conducted a literature review, and synthesized the results by using a qualitative description approach. Results. We identified 125 PHSMS; only 3-the Behavioral Risk Factor Surveillance System, Pregnancy Risk Assessment and Monitoring System, and California Health Interview Survey-collected and reported data on individual-level racism. Structural racism was not collected in PHSMS; however, we observed evidence for linkages to census and administrative data sets or social media sources to assess structural racism. Conclusions. There is a paucity of PHSMS that measure individual-level racism, and few systems are linked to structural racism measures. Public Health Implications. Adopting a standard practice of racism surveillance can advance equity-centered public health praxis, inform policy, and foster greater accountability among public health practitioners, researchers, and decision-makers. Failure to explicitly address racism and the insufficient capacity to support a robust health equity data infrastructure severely impedes efforts to address and dismantle systemic racism. (Am J Public Health. 2023;113(S1):S80-S84. https://doi.org/10.2105/AJPH.2022.307160).

Association Between Racial Wealth Inequities and Racial Disparities in Longevity Among US Adults and Role of Reparations Payments, 1992 to 2018.

Importance: In the US, Black individuals die younger than White individuals and have less household wealth, a legacy of slavery, ongoing discrimination, and discriminatory public policies. The role of wealth inequality in mediating racial health inequities is unclear. Objective: To assess the contribution of wealth inequities to the longevity gap that exists between Black and White individuals in the US and to model the potential effects of reparations payments on this gap. Design, Setting, and Participants: This cohort study analyzed the association between wealth and survival among participants in the Health and Retirement Study, a nationally representative panel study of community-dwelling noninstitutionalized US adults 50 years or older that assessed data collected from April 1992 to July 2019. Participants included 7339 non-Hispanic Black (hereinafter Black) and 26 162 non-Hispanic White (hereinafter White) respondents. Data were analyzed from January 1 to September 17, 2022. Exposures: Household wealth, the sum of all assets (including real estate, vehicles, and investments), minus the value of debts. Main Outcomes and Measures: The primary outcome was all-cause mortality by the end of survey follow-up in 2018. Using parametric survival models, the associations among household wealth, race, and survival were evaluated, adjusting for age, sex, number of household members, and marital status. Additional models controlled for educational level and income. The survival effects of eliminating the current mean wealth gap with reparations payments ($828 055 per household) were simulated. Results: Of the 33 501 individuals in the sample, a weighted 50.1% were women, and weighted mean (SD) age at study entry was 59.3 (11.1) years. Black participants' median life expectancy was 77.5 (95% CI, 77.0-78.2) years, 4 years shorter than the median life expectancy for White participants (81.5 [95% CI, 81.2-81.8] years). Adjusting for demographic variables, Black participants had a hazard ratio for death of 1.26 (95% CI, 1.18-1.34) compared with White participants. After adjusting for differences in wealth, survival did not differ significantly by race (hazard ratio, 1.00 [95% CI, 0.92-1.08]). In simulations, reparations to close the mean racial wealth gap were associated with reductions in the longevity gap by 65.0% to 102.5%. Conclusions and Relevance: The findings of this cohort study suggest that differences in wealth are associated with the longevity gap that exists between Black and White individuals in the US. Reparations payments to eliminate the racial wealth gap might substantially narrow racial inequities in mortality.

A systematic review and meta-analysis of the Everyday Discrimination Scale and biomarker outcomes.

Discrimination has consistently been associated with multiple adverse health outcomes. Like other psychosocial stressors, discrimination is thought to impact health through stress-related physiologic pathways including hypothalamic-pituitary-adrenal (HPA) axis activation, dysregulation of inflammation responses, and accelerated cellular aging. Given growing attention to research examining the biological pathways through which discrimination becomes embodied, this systematic review and meta-analysis synthesizes empirical evidence examining relationships between self-reported discrimination and four biomarker outcomes (i.e., cortisol, C-reactive protein (CRP), interleukin-6 (IL-6), and telomere length) among studies that have used the Everyday Discrimination Scale. We conducted a systematic review of studies discussing self-reported, everyday, or chronic discrimination in the context of health by searching Medline / PubMed (National Library of Medicine, NCBI), PsycInfo (APA, Ebsco) and Web of Science Core Collection (Clarivate). Twenty-five articles met the criteria for meta-analysis, with several reporting on multiple outcomes. Discrimination was associated with elevated CRP levels (r = 0.11; 95% CI: 0.01, 0.20, k = 10), though not cortisol (r = 0.05; 95% CI: -0.06, 0.16, k = 9), IL-6 (r = 0.05; 95% CI: -0.32, 0.42, k = 5), or telomere length (r = 0.03; 95% CI: -0.01, 0.07, k = 6). We identify several points of consideration for future research including addressing heterogeneity in assessment of biomarker outcomes and the need for longitudinal assessments of relationships between discrimination and biomarker outcomes.

Effectiveness of Digital Interventions for Preventing Alcohol Consumption in Pregnancy: Systematic Review and Meta-analysis.

BACKGROUND: Alcohol consumption in pregnancy has been associated with serious fetal health risks and maternal complications. While previous systematic reviews of digital interventions during pregnancy have targeted smoking cessation and flu vaccine uptake, few studies have sought to evaluate their effectiveness in preventing alcohol consumption during pregnancy. OBJECTIVE: This systematic review aims to assess (1) whether digital interventions are effective in preventing alcohol consumption during the pregnancy/pregnancy-planning period, and (2) the differential effectiveness of alternative digital intervention platforms (ie, computers, mobiles, and text messaging services). METHODS: PubMed, Embase, CINAHL, and Web of Science were searched for studies with digital interventions aiming to prevent alcohol consumption among pregnant women or women planning to become pregnant. A random effects primary meta-analysis was conducted to estimate the combined effect size and extent to which different digital platforms were successful in preventing alcohol consumption in pregnancy. RESULTS: Six studies were identified and included in the final review. The primary meta-analysis produced a sample-weighted odds ratio (OR) of 0.62 (95% CI 0.42-0.91; P=.02) in favor of digital interventions decreasing the risk of alcohol consumption during pregnancy when compared to controls. Computer/internet-based interventions (OR 0.59, 95% CI 0.38-0.93) were an effective platform for preventing alcohol consumption. Too few studies of text messaging (OR 0.29, 95% CI 0.29-2.52) were available to draw a conclusion. CONCLUSIONS: Overall, our review highlights the potential for digital interventions to prevent alcohol consumption among pregnant women and women planning to become pregnant. Considering the advantages of digital interventions in promoting healthy behavioral changes, future research is necessary to understand how certain platforms may increase user engagement and intervention effectiveness to prevent women from consuming alcohol during their pregnancies.

Associations between multiple indicators of discrimination and allostatic load among middle-aged adults.

The objective of this paper is to examine associations between multiple measures of discrimination (i.e., everyday, lifetime, and appraised burden) and components of allostatic load (AL). We drew on pooled cross-sectional data from the Biomarker Project of the Midlife in the United States study (n = 2118). Ages ranged from 25 to 84 years and included mostly Black (n = 389) and white (n = 1598) adults. Quasi-Poisson models were fit to estimate prevalence ratios for each discrimination measure and high-risk quartiles across seven physiological systems (i.e., sympathetic and parasympathetic nervous system; HPA axis; inflammation; cardiovascular; metabolic glucose; and metabolic lipids) and overall AL scores. In fully adjusted models, everyday discrimination was associated with elevated lipids (aPR: 1.07; 95% CI 1.01, 1.13). Lifetime experiences of discrimination were associated with lower sympathetic nervous system (aPR: 0.82; 95% CI: 0.69, 0.98) and greater cardiovascular risk scores (aPR: 1.17; 95% CI: 1.02, 1.34) among those reporting three or more experiences, as well as increased inflammation (aPR: 1.13; 95% CI: 1.02, 1.25; aPR: 1.28; 95% CI: 1.14, 1.43), metabolic glucose (aPR: 1.35; 95% CI: 1.19, 1.54; aPR: 1.45; 95% CI: 1.24, 1.68), and metabolic lipids (aPR: 1.13; 95% CI: 1.03, 1.24; aPR: 1.28; 95% CI: 1.15, 1.43) scores for those reporting one to two and three or more experiences. Appraised burden yielded nuanced associations with metabolic glucose and parasympathetic nervous system scores. Everyday and lifetime measures were also associated with higher overall AL, though burden of discrimination was only associated with AL among those reporting "a little" burden. While AL summary scores provide insight into the cumulative impacts of discrimination on health, there appear to be distinct physiologic pathways through which varying forms of discrimination contribute to AL and, ultimately, to poorer health. These unique pathways may be useful in identifying potential points of intervention to mitigate the impacts of discrimination on health inequities.

Racial/Ethnic Differences in Burnout: a Systematic Review.

BACKGROUND: Awareness of burnout and its implications within the medical field has been growing. However, an understanding of the prevalence and consequences of burnout among underrepresented minority (URM), specifically underrepresented minority in medicine (UiM) populations, is not readily available. OBJECTIVE: To examine literature investigating burnout among UiM compared to non-UiM, with particular attention to which measures of burnout are currently being used for which racial/ethnic groups. METHODS: The authors identified peer-reviewed articles, published in English through systematic examination using PubMed, PsycINFO, Countway Discovery Medicine, and Web of Science databases. Studies meeting the inclusion criteria were summarized and study quality was assessed. RESULTS: Sixteen studies assessing racial/ethnic differences in burnout were eligible for inclusion. Nearly all studies were cross-sectional (n = 15) in design and conducted among populations in North America (n = 15). Most studies examined burnout among medical students or physicians and used the Maslach Burnout Inventory. Differences in burnout among UiM and non-UiM are inconclusive, although several studies have nuanced findings. CONCLUSION: Increased focus on burnout measurement, conceptualization, and mitigation among UiM populations may be useful in improving recruitment, retention, and thriving.

Socially-assigned race and health: a scoping review with global implications for population health equity.

Self-identified race/ethnicity is largely used to identify, monitor, and examine racial/ethnic inequalities. A growing body of work underscores the need to consider multiple dimensions of race - the social construction of race as a function of appearance, societal interactions, institutional dynamics, stereotypes, and social norms. One such multidimensional measure is socially-assigned race, the perception of one's race by others, that may serve as the basis for differential or unfair treatment and subsequently lead to deleterious health outcomes. We conducted a scoping review to systematically appraise the socially-assigned race and health literature. A systematic search of the PubMed, Web of Science, 28 EBSCO databases and 24 Proquest databases up to September 2019 was conducted and supplemented by a manual search of reference lists and grey literature. Quantitative and qualitative studies that examined socially-assigned race and health or health-related outcomes were considered for inclusion. Eighteen articles were included in the narrative synthesis. Self-rated health and mental health were among the most frequent outcomes studied. The majority of studies were conducted in the United States, with fewer studies conducted in New Zealand, Canada, and Latin America. While most studies demonstrate a positive association between social assignment as a disadvantaged racial or ethnic group and poorer health, some studies did not document an association. We describe key conceptual and methodological considerations that should be prioritized in future studies examining socially-assigned race and health. Socially-assigned race can provide additional insight into observed differential health outcomes among racial/ethnic groups in racialized societies based upon their lived experiences. Studies incorporating socially-assigned race warrants further investigation and may be leveraged to examine nuanced patterns of racial health advantage and disadvantage.

Understanding how discrimination can affect health.

BACKGROUND: To provide an overview of the empirical research linking self-reports of racial discrimination to health status and health service utilization. METHODS: A review of literature reviews and meta-analyses published from January 2013 to 2019 was conducted using PubMed, PsycINFO, Sociological Abstracts, and Web of Science. Articles were considered for inclusion using the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) framework. RESULTS: Twenty-nine studies met the criteria for review. Both domestic and international studies find that experiences of discrimination reported by adults are adversely related to mental health and indicators of physical health, including preclinical indicators of disease, health behaviors, utilization of care, and adherence to medical regimens. Emerging evidence also suggests that discrimination can affect the health of children and adolescents and that at least some of its adverse effects may be ameliorated by the presence of psychosocial resources. CONCLUSIONS: Increasing evidence indicates that racial discrimination is an emerging risk factor for disease and a contributor to racial disparities in health. Attention is needed to strengthen research gaps and to advance our understanding of the optimal interventions that can reduce the negative effects of discrimination.

Emotional and physical reactions to perceived discrimination, language preference, and health-related quality of life among Latinos and Whites.

PURPOSE: To investigate whether emotional and physical reactions to perceived discrimination are associated with health-related quality of life (HRQOL) among whites and Latinos (by language preference) in Arizona. METHODS: A cross-sectional analysis using the Arizona Behavioral Risk Factor Surveillance System (2012-2014) was restricted to non-Hispanic white and Latino (grouped by English- or Spanish-language preference) participants who completed the Reactions to Race optional module (N = 14,623). Four core items from the Centers for Disease Control and Prevention's Healthy Days Measures were included: self-rated health; physically unhealthy, mentally unhealthy; and functionally limited days. Poisson regression models estimated prevalence ratios and 95% confidence intervals (CIs) for poor self-rated health. Multinomial logistic models estimated odds ratios and 95% CI for poor mental, physical, and functionally limited days (defined as 14 + more days). Models were adjusted for sociodemographics, health behaviors, and multimorbidity. RESULTS: Reports of emotional and physical reactions to perceived discrimination were highest among Spanish-language preference Latinos. Both Spanish- and English-language preference Latinos were more likely to report poor self-rated health in comparison to whites. In separate fully adjusted models, physical reactions were positively associated with each HRQOL measure. Emotional reactions were only associated with reporting 14 + mental unhealthy (aOR 3.16; 95% CI 1.82; 5.48) and functionally limited days (aOR 1.93; 95% CI 1.04, 3.58). CONCLUSIONS: Findings from this study suggest that physical and emotional reactions to perceived discrimination can manifest as diminished HRQOL. Consistent collection of population-based measures of perceived discrimination is warranted to track and monitor differential health vulnerability that affect Latinos.

Socially Assigned Race and Diabetes: Findings from the Arizona Behavioral Risk Factor Surveillance System, 2013-2014.

Socially assigned race, the racial/ethnic categorization of individuals by others, may serve as the basis for differential or unfair treatment. Latinxs are commonly socially assigned to a race/ethnicity with which they do not self-identify. However, it is unclear the degree to which self-identified Latinxs who are socially assigned as white or Latinx may differentially predict health outcomes beyond general health status and healthcare utilization. We examine the association between socially assigned race and type 2 diabetes mellitus (T2DM). Data from the Arizona's Behavioral Risk Factor Surveillance System (2013, 2014) was used in a cross-sectional analysis (restricted to Latinxs and non-Hispanic whites; N = 8370) to examine the association between self-identified (SI) and socially assigned (SA) race/ethnicity agreement and T2DM. Latinxs were categorized according to SI-SA race/ethnicity agreement: discordant (SI-SA, different) and concordant (SI-SA, same). T2DM was based on self-reported physician diagnosis. Data were analyzed using Poisson regression models to estimate prevalence ratios (PR) and 95% confidence intervals (CI). Latinxs comprised 28.5% of our sample, of which, 18.5% was discordant and 81.5% was concordant. In fully adjusted models, concordant Latinxs were more likely to have T2DM than whites (aPR 2.01, 95% CI 1.44, 2.82). There were no significant differences in T2DM between discordant Latinxs and whites. Our results suggest that socially assigned race is an understudied determinant of health and may further understanding of the impact of racial stratification on Latinx health inequities. Additional research examining socially assigned race and other health outcomes are warranted to gain further insight of the biological impact of racialized lived experiences.

Racism and Health: Evidence and Needed Research.

In recent decades, there has been remarkable growth in scientific research examining the multiple ways in which racism can adversely affect health. This interest has been driven in part by the striking persistence of racial/ethnic inequities in health and the empirical evidence that indicates that socioeconomic factors alone do not account for racial/ethnic inequities in health. Racism is considered a fundamental cause of adverse health outcomes for racial/ethnic minorities and racial/ethnic inequities in health. This article provides an overview of the evidence linking the primary domains of racism-structural racism, cultural racism, and individual-level discrimination-to mental and physical health outcomes. For each mechanism, we describe key findings and identify priorities for future research. We also discuss evidence for interventions to reduce racism and describe research needed to advance knowledge in this area.