Journal of racial and ethnic health disparities 

About: Journal of racial and ethnic health disparities is an academic journal published by Springer Science+Business Media. The journal publishes majorly in the area(s): Medicine & Ethnic group. It has an ISSN identifier of 2196-8837. Over the lifetime, 1632 publications have been published receiving 16909 citations.

The COVID-19 Pandemic: a Call to Action to Identify and Address Racial and Ethnic Disparities.

Abstract: The Coronavirus disease 2019 (COVID-19) pandemic has significantly impacted and devastated the world. As the infection spreads, the projected mortality and economic devastation are unprecedented. In particular, racial and ethnic minorities may be at a particular disadvantage as many already assume the status of a marginalized group. Black Americans have a long-standing history of disadvantage and are in a vulnerable position to experience the impact of this crisis and the myth of Black immunity to COVID-19 is detrimental to promoting and maintaining preventative measures. We are the first to present the earliest available data in the peer-reviewed literature on the racial and ethnic distribution of COVID-19-confirmed cases and fatalities in the state of Connecticut. We also seek to explode the myth of Black immunity to the virus. Finally, we call for a National Commission on COVID-19 Racial and Ethnic Health Disparities to further explore and respond to the unique challenges that the crisis presents for Black and Brown communities.

The Effects of Race and Racial Concordance on Patient-Physician Communication: A Systematic Review of the Literature.

Abstract: Objective Racial disparities exist in health care, even when controlling for relevant sociodemographic variables. Recent data suggest disparities in patient-physician communication may also contribute to racial disparities in health care. This study aimed to systematically review studies examining the effect of black race and racial concordance on patient-physician communication.

Racial, Economic, and Health Inequality and COVID-19 Infection in the United States.

Abstract: There is preliminary evidence of racial and social economic disparities in the population infected by and dying from COVID-19. The goal of this study is to report the associations of COVID-19 with respect to race, health, and economic inequality in the United States. We performed an ecological study of the associations between infection and mortality rate of COVID-19 and demographic, socioeconomic, and mobility variables from 369 counties (total population, 102,178,117 [median, 73,447; IQR, 30,761–256,098]) from the seven most affected states (Michigan, New York, New Jersey, Pennsylvania, California, Louisiana, Massachusetts). The risk factors for infection and mortality are different. Our analysis shows that counties with more diverse demographics, higher population, education, income levels, and lower disability rates were at a higher risk of COVID-19 infection. However, counties with higher proportion with disability and poverty rates had a higher death rate. African Americans were more vulnerable to COVID-19 than other ethnic groups (1981 African American infected cases versus 658 Whites per million). Data on mobility changes corroborate the impact of social distancing. Our study provides evidence of racial, economic, and health inequality in the population infected by and dying from COVID-19. These observations might be due to the workforce of essential services, poverty, and access to care. Counties in more urban areas are probably better equipped at providing care. The lower rate of infection, but a higher death rate in counties with higher poverty and disability could be due to lower levels of mobility, but a higher rate of comorbidities and health care access.

Life Expectancy Gain Due to Employment Status Depends on Race, Gender, Education, and Their Intersections.

Abstract: Despite the well-established health effects of socioeconomic status (SES), SES resources such as employment may differently influence health outcomes across sub-populations. This study used a national sample of US adults to test if the effect of baseline employment (in 1986) on all-cause mortality over a 25-year period depends on race, gender, education level, and their intersections. Data came from the Americans’ Changing Lives (ACL) study, which followed 2025 Whites and 1156 Blacks for 25 years from 1986 to 2011. The focal predictor of interest was baseline employment (1986), operationalized as a dichotomous variable. The main outcome of interest was time to all-cause mortality from 1986 to 2011. Covariates included baseline age, health behaviors (smoking, drinking, and exercise), physical health (obesity, chronic disease, function, and self-rated health), and mental health (depressive symptoms). A series of Cox proportional hazard models were used to test the association between employment and mortality risk in the pooled sample and based on race, gender, education, and their intersections. Baseline employment in 1986 was associated with a lower risk of mortality over a 25-year period, net of covariates. In the pooled sample, baseline employment interacted with race (HR = .69, 95% CI = .49–.96), gender (HR = .73, 95% CI = .53–1.01), and education (HR = .64, 95% CI = .46–.88) on mortality, suggesting diminished protective effects for Blacks, women, and individuals with lower education, compared to Whites, men, and those with higher education. In stratified models, the association was significant for Whites (HR = .71, 95%CI = .59–.90), men (HR = .60, 95%CI = .43–.83), and individuals with high education (HR = .66, 95%CI = .50–.86) but not for Blacks (HR = .77, 95%CI = .56–1.01), women (HR = .88, 95%CI = .69–1.12), and those with low education (HR = .92, 95%CI = .67–1.26). The largest effects of employment on life expectancy were seen for highly educated men (HR = .50, 95%CI = .32–.78), White men (HR = .55, 95%CI = .38–.79), and highly educated Whites (HR = .63, 95%CI = .46–.84). The effects were non-significant for Black men (HR = 1.10, 95%CI = .68–1.78), Whites with low education (HR = 1.01, 95%CI = .67–1.51), and women with low education (HR = 1.06, 95%CI = .71–1.57). In the USA, the health gain associated with employment is conditional on one’s race, gender, and education level, along with their intersections. Blacks, women, and individuals with lower education gain less from employment than do Whites, men, and highly educated people. More research is needed to understand how the intersections of race, gender, and education alter health gains associated with socioeconomic resources.

High Risk of Depression in High-Income African American Boys.

Abstract: Despite the well-established literature on the protective effect of socioeconomic status (SES) on physical and mental health, there are a few reports on poor mental health of blacks with high SES. Using a national sample, this study investigated the association between household income and risk of major depressive disorder (MDD) in black youth based on ethnicity, gender, and their intersection. One thousand one hundred seventeen black adolescents (810 African Americans and 360 Caribbean blacks) were included in the current study. Household income was the main predictor. MDD (lifetime, 12-month, and 30-day) was the main outcome. Age was the covariate. Ethnicity and gender were the focal moderators. Logistic regressions were used for data analysis. In the pooled sample, household income was not associated with risk of MDD (lifetime, 12-month, or 30-day). We found significant interactions between income and gender on lifetime and 12-month MDD, suggesting a stronger protective effect of income on MDD for females than males. We also found significant interaction between income and ethnicity on 30-day MDD, suggesting stronger protective effect of income against MDD for Caribbean blacks than African Americans. In African American males, high household income was associated with higher risk of lifetime, 12-month, and 30-day MDD. For Caribbean black males and females, high household income was associated with lower odds of 30-day MDD. Findings suggest that ethnicity and gender influence how socioeconomic resources such as income are associated with MDD risk among black youth. Higher household income may be associated with higher risk of MDD for African American males.