African Americans and ethnic minorities experience racial discrimination in a variety of settings. Racial discrimination is a potent stressor that has been linked to psychosocial stress and poor physical health. To cope with discriminatory experiences and daily life event stressors, African Americans frequently use the concept of John Henryism (a high effort coping strategy with prolonged exposure to stress). This cross-sectional analysis explored the relationship between racism/discrimination, John Henryism, and health problems in a predominately African American sample. Data were collected through health care screenings for hypertension, diabetes, and obesity and a self-report survey to assess experiences of discrimination and use of John Henryism. Logistic and linear regression models were used to assess the relationship between the John Henryism score, racism/discrimination score, and health problems among 352 participants. John Henryism was associated with a decrease in systolic blood pressure (b = − 12.50, 95% CI = − 23.05, − 1.95) among men, after adjusting for experiences of racism/discrimination and demographic characteristics. Experiences of racism/discrimination were associated with an increase in systolic blood pressure (b = 11.23, 95% CI = 0.38, 22.09) among men, after adjusting for John Henryism and demographic characteristics. Among women, there was no association found between John Henryism and experiences of racism/discrimination with systolic blood pressure. No association was found between John Henryism and experiences of racism/discrimination with being overweight/obese in women nor men. The study found that John Henryism was positively associated with the health of men, while experiences of racism/discrimination were negatively associated with their health. Limitations of the study are discussed, and recommendations are made to guide future research exploring the concept of John Henryism as a relevant factor between stress, racial discrimination and poor health.

The current study examined the relationship between John Henryism Active Coping (JHAC), experiences of racial discrimination, and behavioral health outcomes in a community sample of 319 Black adults. Assessments included primary health care screenings as well as self-reported survey questions to assess JHAC, experiences of discrimination, and self-reported behavioral health. Logistic regressions model adjusted for control variables, found a significant relationship between JHAC and having an opioid problem (OR = 0.95, p = 0.003) as well as needing mental health services (OR = 0.95, p < 0.001) such that higher levels of coping were associated with lower odds of reporting an opioid problem and with needing mental health services. Notably, racial discrimination was not significantly independently associated with behavioral health. Implications for interventions and community programming are discussed.

This study examined the association between discrimination, peer connectedness, and mental health symptoms among Black medical students. Data were collected from a convenience sample of Black medical students via an anonymous electronic questionnaire ( n = 733) in year 2020. The Patient-Reported Outcomes Measurement Information System Depression and Anxiety forms were used to measure depression and anxiety symptoms. Structural equation modeling was used to examine the association between discrimination, peer connectedness, and mental health symptoms (Mplus 7.3). The majority of the participants were female (80%), approximately 40% were third or fourth year medical school students, and 13% had a clinical diagnosis of depression/anxiety before medical school. About half of the students reported being watched more closely than their classmates, and 66% reported feeling the need to work twice as hard as others to get the same treatment or evaluation. The majority of students reported that their peers were supportive of their academic success (60.7%), and 53% reported that students often or always invited them to social outings. The mean T-score for depressive symptoms was 53.6 (SD = 7.8), and the mean T-score for anxiety symptoms was 58.6 (SD = 8.4). Overall, findings indicated a high prevalence of anxiety and depression symptoms among Black medical students, and increased discrimination was associated with more mental health symptoms among males. Additionally, increased peer connectedness was associated with fewer symptoms of anxiety among males and females and fewer depressive symptoms among females. Addressing discrimination among medical students may improve mental health among Black medical students. Supplementary Information The online version contains supplementary material available at 10.1007/s40615-021-01157-7.

Background Health disparities are pervasive and are linked to economic losses in the United States of up to $135 billion per year. The Flint Center for Health Equity Solutions (FCHES) is a Transdisciplinary Collaborative Center for health disparities research funded by the National Institute of Minority Health and Health Disparities (NIMHD). The purpose of this study was to estimate the economic impact of the 5-year investment in FCHES in Genesee County, Michigan. Methods The estimated impacts of FCHES were calculated using a U.S.-specific input/output (I/O) model, IMPLAN, from IMPLAN Group, LLC., which provides a software system to access geographic specific data regarding economic sector interactions from a variety of sources. This allowed us to model the cross-sector economic activity that occurred throughout Genesee County, Michigan, as a result of the FCHES investment. The overall economic impacts were estimated as the sum of three impact types: 1. Direct (the specific expenditures impact of FCHES and the Scientific Research and Development Services sector); 2. Indirect (the impact on suppliers to FCHES and the Scientific Research and Development Services sector); and 3. Induced (the additional economic impact of the spending of these suppliers and employees in the county economy). Results The total FCHES investment amounted to approximately $11 million between 2016 and 2020. Overall, combined direct, indirect, and induced impacts of the total FCHES federal investment in Genesee County included over 161 job-years, over $7.6 million in personal income, and more than $19.2 million in economic output. In addition, this combined economic activity generated close to $2.3 million in state/local and federal tax revenue. The impact multipliers show the ripple effect of the FCHES investment. For example, the overall output of over $19.2 million led to an impact multiplier of 1.75 – every $1 of federal FCHES investment led to an additional $.75 of economic output in Genesee County. Conclusions The FCHES research funding yields significant direct economic impacts above and beyond the direct NIH investment of $11 million. The economic impact estimation method may be relevant and generalizable to other large research centers such as FCHES.