Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2024 May 13.
Published in final edited form as: J Rehabil Ther. 2023 Dec 26;5(2):11–17. doi: 10.29245/2767-5122/2024/2.1138

Highly Educated Black Americans Report Higher than Expected Perceived Job Demands

Tiffany Hogan 1, Amy Mancia 1, Kanah Ndiaye 1, Brenda Rodriguez 1, Babak Najand 2, Hossein Zare 3,4, Shervin Assari 1,5,6
PMCID: PMC11089532  NIHMSID: NIHMS1985066  PMID: 38742232

Abstract

Background:

Educational attainment has well established and widely recognized the effects on employment conditions and job demands. However, the way in which educational attainment correlates with perceived job demands may be inconsistent across racial groups as suggested by Minorities’ Diminished Returns (MDRs). The aim was to test the moderating effect of race on the association between educational attainment and perceived job demands, particularly for Black and White individuals.

Methods:

This study was a cross-sectional analysis of MIDUS Refresher 1, including 1,232 Black and White adults over the age of 25 in the United States. Education attainment was the independent variable and perceived job demands was the dependent variable covariates. Linear regression was used for multivariate models.

Results-

We observed positive association between education and perceived job demands, however, statistical interaction between race and education suggested stronger positive associations for Black than White individuals.

Conclusion:

Being a highly educated Black professional in the United States equals high demand such increase stress is a risk factor of being a middle class black American. Innovated and bold market policies are required to solve this unfair dilemma.


Perceived job demands refer to the subjective assessment or interpretation that an individual makes regarding the requirements, expectations, and pressures associated with their job13. It involves how an employee perceives the various aspects of their work that may impact their physical, cognitive, or emotional resources4. These perceived demands can encompass a wide range of factors, including workload, time pressure, complexity of tasks, responsibility, and interpersonal interactions within the work environment5. Although employees may perceive job demands differently based on their individual characteristics, experiences, and coping abilities, objective job demands are strong predictor of perceived job demands6. Understanding and managing perceived job demands is crucial for organizations and individuals alike, as it can influence job satisfaction, well-being, and overall performance7. Effective coping strategies and organizational support can help employees navigate and manage perceived job demands to maintain a healthy work-life balance8.

Experiencing high perceived job demands can have a significant effect on an individual’s health. When faced with excessive workloads, tight deadlines, and overwhelming responsibilities, employees may experience chronic stress,9 which can lead to adverse health outcomes over time and overall job dissatisfaction.10,11 Prolonged exposure to high, perceived job demands can result in physical and mental health problems 12 such as cardiovascular issues 13 weakened immune system,14,15 insomnia,16 anxiety, and depression.17 Implementing targeted interventions for workers at risk can help alleviate the negative health effects of high perceived job demands. Moreover, it is crucial to acknowledge and investigate the variations in health risks associated with elevated perceived job demands across different socioeconomic markers,18 such as educational attainment.

The impact of educational attainment on perceived job demands has been extensively studied, with research consistently showing a significant association between the two factors. Higher education attainment, while undoubtedly valuable in terms of knowledge attainment and career advancement, has been seen to be a significant source of stress for numerous individuals. Higher educational attainment may be associated with certain protections from physical environmental risk factors, such as air pollution, toxins, and lead. This is not the case for Black people with higher educational attainment, who are considered to have lower environmental protections than White individuals.19

The positive association between educational attainment and increased perceived job demands in the workplace holds much importance. In turn, it is important to identify whether race modifies this relationship. Some research suggests that higher education attainment results in diminished job stress. However, this association is weakened when moderated for race. A 25-year follow-up study of 3,000 adults found that educational attainments and employment had a weakened protective effect on Black individuals compared to White individuals.20 High educational attainment may not result in low job stress, but high job stress, for African American professionals. In fact, features like work environment, labor-market discrimination, and residential segregation are all possible contributing factors to this weakened association.21 Even though there is a positive association between education attainment and perceived job demands, it is essential that this relationship be understood once stratified. Therefore, we cannot assume the positive relationship remains across all racial groups.22

This study is built on two theories. First, built upon Melissa S. Creary’s framework of bounded justice, initiatives aimed at promoting social equity, which include programs, policies, and technologies, are often designed with justice as their primary goal. However, these interventions frequently neglect to consider the historical experiences of the beneficiaries who have endured the long-term consequences of marginalization. According to Creary’s theory, this oversight compromises the effectiveness of the intended justice, as these well-meaning efforts are constrained by broader historical limitations. In accordance with Melissa S. Creary’s theory of bounded justice, the challenge lies in addressing fairness, entitlement, and equity when the foundational social and physical infrastructures supporting them have been undermined by historical factors such as racism. Rooted in tokenism, her theory suggests an anticipation of a high perceived demand for jobs among highly educated Black Americans. 23 Second, based on Minorities Diminished Returns, Black individuals with high educational attainment may experience less benefit from their education than White individuals 2426 This theory suggests that at each level of education attainment, Black individuals would experience higher levels of systematic barriers that inhibit them from achieving social and economic mobility and health.27

Aims

The aim of the current analysis is to investigate the relationship between educational attainment and perceived job demands. The present study aims to explore whether there are significant differences in job demands among employed White and Black individuals that participated in the midlife in the United States (MIDUS) Refresher cohort. Particularly, our analysis aims to understand if there if race plays a role in diminishing the association between educational attainment and perceived job demands, particularly for African American compared to White professionals. The results may inform targeted interventions and strategies that can alleviate the negative health effects of high, perceived job demands for workers across different racial groups.

Methods

Design and setting

The present study conducted a secondary analysis of baseline data from the 2011–2014 Midlife in the United States (MIDUS) Refresher Cohort which builds from the original MIDUS 1 cohort. MIDUS is a cross-sectional study that focuses on two national samples (age groups as described below) of Americans and examines the role of psychological, social, and biological factors and their variation with age. Though an amended design, MIDUS Refresher, utilizes the same comprehensive assessments as MIDUS 1. The National Institute on Aging funded both entities that make up the MIDUS Refresher. In November of 2011 the MIDUS Refresher younger decades was supported and consisted of 2,100 recruited individuals between the ages of 25–54. Followed by the MIDUS refresher for old decades, which began in June 2014 with 1,400 recruited 55–74-year-olds.28 The 2011–2014 MIDUS Refresher contains data from all races, however, this analysis will focus on Black and White individuals.

Participants and sampling

The sample for the current analysis was derived from the MIDUS Refresher Cohort, collected between 2011 and 2014. Inclusion criteria was restricted to Black and White respondents that reported some level of educational attainment and were employed at the time surveyed. Those who were unemployed were excluded from the analysis. The final analytic sample for this study included 1,232 individuals.

Measurement

Predictor:

Education Attainment.

Educational attainment was self-reported by participants and was coded using a numeric scale. The scale ranges from values 1 to 12 to capture the highest educational level achieved by the participants. Education levels were reported as: (1) no education/some grade school (grades 1–6); (2) eight grade/junior high school (grades 7–8); (3) some high school (grades 9–12 no diploma/no GED); (4) GED; (5) graduated from high school; (6) some college (1–2 years); (7) 3 or more years of college (no degree); (8) 2-year college, vocational school, or Associate’s Degree; (9) graduated from a 4 or 5-year university/ attained Bachelor’s degree; (10) some graduate school; (11) Master’s degree; (12) Ph.D., Ed.D, MD, DDS, LLB, LLD, JD or other professional degree.

Dependent Variable:

Perceived Job Demands.

Perceived job demands are defined as required physical and psychosocial efforts of one’s job. Participants reported their perceived job demands level using a self-reported scale to collect data of their job characteristics. Job Demands (αM2 = 77; αMR = 0.73) perceived Job demands was assessed by the sum of five items that concerned cognitive demands, work overload, role conflict, time inadequacy, interruptions, and work intensity on a five-point frequency scale (1=never to 5=all of the time).29

Moderator:

Race.

The cohort participants were asked to self-report their race. This self-reported data created the groups individuals were assigned. Race was Black and White in this study.

Confounders:

Age (continuous, years), gender (1=female, 0=male), hand laborer (type of job that requires manual labor and are not office-based occupations).

Statistical Analysis:

Given the MIDUS Refresher study design, it was necessary to apply SPSS 27.0 (IBM Inc., NY, USA) for data analysis. Using SPSS, adjustments for eligibility criteria were applied to attain the sample for the present study (n= 1,232). In these models, education attainment was the predictor variable, and the perceived job demands scale was the dependent variable. The descriptive statistics for these models included income, education, Black, Latino, age, job category, U.S. born, or non-U.S. born, female, and an education scale. Race was the moderator. Independent samples t-test was used for comparing variances among the means of both population groups. The SPSS used a 95% confidence interval (CI) to calculate the lower and upper bound ranges for each category. The unstandardized Beta, coefficients of standard error, t-test, and p-values were reported under the coefficients table. A p-value of 0.05 or less represents a significant value. We ran two linear regression models; Model 1 did not include any interaction terms. Model 2 included the interaction of race and education. The second model was used to show the differential effect of educational attainment for White and Black people.

IRB & Ethical Considerations:

The research project was approved by the Institutional Review Board (IRB) of the Education and Social/Behavioral Sciences and the Health Sciences Departments at the University of Wisconsin-Madison (UW-Madison). However, because this study used fully-deidentified data, there was no need for IRB review. All participants provided written consent. Data were collected, stored, and analyzed anonymously.

Results

Descriptive Statistics

The total sample included 1,232 participants who identified as either Black or White. Table 1 provides a descriptive data summary of the study participants. Sample participants were predominantly White (N=1156, 93.8%), slightly more male (N=643, 52.2%) compared to female (N=589, 47.8%). Majority of participants were also born in the United States (N=1187, 96.3%).

Table 1:

Descriptive data overall

N %
Race
 White 1156 93.8
 Black 76 6.2
Gender
 Female 589 47.8
 Male 643 52.2
Nationality
 Non-U.S. Born 45 3.7
 U.S. Born 1187 96.3
Job Category
 Hand Laborer 204 16.6
 Non-Hand Laborer 1028 83.4
Mean SD
Age (years) 47.66 12.78
Educational Attainment (1–12) 8.43 2.36
Income ($) 63,607.19 52,307.54
Perceived Job Demands (4–25) 14.99 3.36

Bivariate Associations

Table 2 demonstrates results from t-test for statistically significant differences among White and Black individuals in age, education, income, and job category and demand. There were no statistically significant differences in age, education level, or job category and demands at a 0.05 1-alpha level. However, income levels showed a statistically significant difference with at 0.05 1-alpha level (p = .038). In addition, 50.0% of Whites and 64.8% of Blacks were female (p < 0.05).

Table 2:

Sample descriptive by race

White Black
M SD M SD P
Age (years) 47.71 12.77 46.87 12.97 .577
Educational Attainment (1–12) 8.42 2.37 8.62 2.20 .475
Income ($) 64400.01 53042.97 51548.03 37713.94 .038
Perceived Job Demands (5–25) 15.03 3.33 14.32 3.73 .071

Multivariate Analysis

Table 3 shows the result of two linear regression models with education attainment as the independent variable and perceived job demands as the dependent variable. Model 1 covers the effects of gender, education, income, and race. While Model 2, includes those same variables, along with an interaction variable between race and education. Model 1 shows a statistically significant association between education (p = .000), income (p = .000), and race (p = .070) and perceived job demands. In Model 2, the interaction of being both Black and educated (p = .025) has a significant association with perceived job demands. Figure 1 shows stronger positive association between educational attainment and perceived job demands for Black than White adults.

Table 3:

Summary of Regression Models

B SE 95% CI P
Model 1
Age (24–74) −.054 .007 [−.068, −.039] .000
Gender .317 .197 [−.070, .704] .108
Educational Attainment (1–12) .158 .044 [.071, .244] .000
Income ($) .001 .000 [.000, .001] .000
Race (Black) −.698 .731 [13.754, 16.622] .000
Model 2
Age (24–74 years) −.054 .007 [−.068, −.039] .000
Gender .312 .197 [−.074, .698] .113
Educational Attainment (1–12) .136 .045 [.048, .225] .003
Income ($) .001 .000 [.000, .001] .000
Race (Black) −4.490 1.441 [−7.317, −1.663] .000
Race (Black) X Educational Attainment .390 .174 [.049, .732] .025

Note: The large CI for black people in Model 1, could be explained by small sample size.

Figure 1.

Figure 1

Association between educational attainment and perceived job demand in White and Black adults

Discussion

Higher education levels were associated with increased perceived job demands, especially for Black individuals. When examining the relationship between education and perceived job demands by race, Black individuals experienced disproportionately higher job demands compared to White individuals at the same education level.

The effect of educational attainment on perceived job demands has been extensively investigated, and the majority of these studies consistently demonstrate a positive association between educational attainment and perceived job demands.10,21,30,31 One prominent mechanism behind this positive relationship is the propensity for highly educated individuals to be selected for occupations that are characterized as more complex and have increased responsibilities.32 Notably, positions occupied by individuals with higher education levels tend to involve fewer repetitive processes commonly found in lower-paying manual jobs.33 However, it is imperative to acknowledge that the correlation between educational attainment and perceived job demands may not follow a uniform pattern across different racial groups, necessitating further exploration.21

The present study aimed to investigate the influence of race as a moderator in the relationship between education and perceived job demands, acknowledging the potential disparities faced by Black professionals. This research aimed to dive into the intersectionality of race and educational attainment, shape perceived job demands as a proxy of occupational conditions of Americans. Black professionals, for example, may face compounded challenges due to historical and systemic racism, leading to limited access to quality education and subsequently impacting their job prospect.34 By addressing these supporting points, this study will contribute to a better understanding of the complex dynamics between educational attainment, race, and perceived job demands. Educational attainment contribute to one’s health and control one’s accessibility to resources and occupational conditions.18

A growing body of research suggests that higher levels of education do not protect Black, Indigenous and People of Color (BIPOC) individuals from disproportionately high perceived job demands and occupational strain in the same way as their White counterparts.35,36 In some studies, minority employees with higher education and degrees tend to report and face greater workplace psychological demands compared to equally qualified White employees, including heightened experiences of time pressure, mental workload, and role conflict 10,19. Despite controlling for education, systemic inequities and cultural biases persist in organizational contexts, resulting in BIPOC employees exerting additional effort to prove competence, overcome stereotypes, and manage marginalization stressors alongside substantial work responsibilities—an experience dubbed the “double burden”.37 If left unaddressed, the resultant strain can increase BIPOC risks for stress-related health issues and burnout.25

This demonstrates the impact of MDRs, as marginalized groups like Black individuals, derive less advantage from higher educational attainment. 24,25 A 2019 study found that features like work environment, labor-market discrimination, and residential segregation are all possible contributing factors to the effect of educational attainment on perceived job demands.21 Despite attaining advanced degrees, Black employees continue to report higher psychological perceived job demands compared to equally educated White coworkers. This suggests that systemic barriers persist, leading to disproportionate stress and strain for Black workers.38 MDRs help explain why racial disparities in occupational health remain even after accounting for education levels.

Highly educated Black employees often deal with tokenism39,40, which refers to the dynamics that arise when a person is a rarity or lone representative for their social group in an organization or setting41. As tokens in predominantly White workplaces, Black professionals report heightened visibility and performance pressures along with excessive scrutiny of mistakes.42 They are often socially isolated and left out of informal networks while simultaneously heavily burdened to represent their entire race.43 This deeply taxing experience of tokenism can persist despite advanced education and professional credentials. Organizations must move beyond treating highly skilled Black employees as tokens and instead foster truly inclusive climates with initiatives aimed at retaining, supporting, and fairly evaluating minority talent based on merit.

In contemporary society, the expectations placed upon highly accomplished and educated Black individuals are notably high, reflecting the anticipation of exceptional performance40,44. Paradoxically, these individuals often find themselves navigating the challenges of workplace tokenism, where their achievements may be overshadowed by perceptions of token representation45. This predicament is exacerbated by inadequate job support, a circumstance that appears particularly acute within the Black community. Even among the few highly educated Black individuals within society, the prevailing social environment induces considerable stress. This stress is, in part, a consequence of a deficient educational system that inadequately prepares Black individuals for employment opportunities, especially when contrasted with the superior training afforded to their White counterparts. This disparity is perpetuated by a labor market rife with discriminatory practices, ultimately resulting in the undervaluation of the significant contributions made by highly educated Black professionals46. Consequently, the intricate interplay between educational attainment, race, and job stress remains an underexplored terrain, necessitating further research endeavors to unveil its nuances and implications39.

Our findings align with Melissa S. Creary’s concept of bounded justice. Frequently, initiatives addressing social equity, encompassing programs, policies, and technologies, are conceived with justice as their ultimate objective. However, these interventions often overlook the historical embodiment of beneficiaries who have long endured the cumulative effects of marginalization. This oversight compromises the efficacy of intended justice, as these well-intentioned endeavors are confined by broader historical limitations. In accordance with Melissa S. Creary’s theory of bounded justice, the challenge lies in addressing fairness, entitlement, and equity when the fundamental social and physical infrastructures supporting them have been undermined by historical factors such as racism23.

Limitations

This study has limitations. First, its cross-sectional design doesn’t allow for causal inferences, so results should be interpreted as associations rather than causations. Second, the data in this study included only Black and White participants, excluding races that fall outside of these criteria. As a result, it is important that races excluded in this study be explored to examine if the association studied here persists. Third, our sample is not evenly distributed; there were more White individuals in the study than Black individuals. Additionally, the MIDUS Refresher used for the current analysis is also not up to date. There are considerably time and period differences in economic opportunities and market conditions. The results may not apply to the ten-year period unaccounted for, in which many social changes have occurred. America’s economic recession ended in 2009 and the MIDUS Refresher spans 2011–2014. Within this timeframe, both job availability and demand could have changed drastically or minimally depending on the viability of the recession’s lasting effects. Although some evidence suggests otherwise, many believe that COVID-19 has exacerbated pre-existing social and economic inequities, as well as disproportionately impacting minorities’ health, employment, and overall wellbeing.47,48 Conversely, other research shows that COVID-19 leveled returns of education attainment for minorities.38 One other limitation of the study could be that unemployed individuals were excluded from the analysis, but we don’t know about their employment history. Further, there may be systematic differences between the people who were excluded and those who were included in the analysis. In addition, we did not include other types of stress in the study. Despite these limitations these findings increase our understanding that there is a variation amongst racial groups and how their education attainment interacts with their perceived job demands.

Conclusion

According to our findings, race moderates the association between educational attainment and perceived job demands in the United States. The present study suggests that Black professionals experience higher, perceived job demands, which may be the wide and long effect of racism in the lives of Black elites. There remain considerable gaps in research understanding how earning advanced degrees impacts work experiences, especially for minorities and marginalized groups. More research is needed on how MDRs manifest in the workplace, particularly for Black and other minority groups, so that solutions can target the unique challenges experienced by highly educated minority employees. Additionally, there is a need for research to explore the moderating effect of the COVID-19 pandemic on the complex relationship amongst race, educational attainment, and perceived job demands.

Funding:

This work was partially supported by the NIMHD U54MD000214.

REFERENCES

  • 1.Roelen CA, Schreuder KJ, Koopmans PC., et al. , Perceived job demands relate to self-reported health complaints. Occupational Medicine. 2008; 58(1): 58–63. [DOI] [PubMed] [Google Scholar]
  • 2.Hansez I, Chmiel N. Safety behavior: Job demands, job resources, and perceived management commitment to safety. Journal of occupational health psychology. 2010; 15(3): 267. [DOI] [PubMed] [Google Scholar]
  • 3.Hentrich S, Zimber A, Garbade SF., et al. , Relationships between transformational leadership and health: The mediating role of perceived job demands and occupational self-efficacy. International Journal of Stress Management. 2017; 24(1): 34. [Google Scholar]
  • 4.Skaalvik C Emotional exhaustion and job satisfaction among Norwegian school principals: Relations with perceived job demands and job resources. International Journal of Leadership in Education. 2023; 26(1): 75–99. [Google Scholar]
  • 5.Banerjee D, Doshi V. Gender, workplace support, and perceived job demands in the US and Indian context. Personnel Review. 2020; 49(7): 1451–1465. [Google Scholar]
  • 6.Bakker AB, Demerouti E, Verbeke W. Using the job demandsâ resources model to predict burnout and performance. Human Resource Management: Published in Cooperation with the School of Business Administration, The University of Michigan and in alliance with the Society of Human Resources Management. 2004; 43(1): 83–104. [Google Scholar]
  • 7.Bakker AB, Van Emmerik H, Van Riet P. How job demands, resources, and burnout predict objective performance: A constructive replication. Anxiety, Stress, & Coping. 2008; 21(3): 309–324. [DOI] [PubMed] [Google Scholar]
  • 8.Bakker AB, Demerouti E. Job demands–resources theory: Taking stock and looking forward. Journal of occupational health psychology. 2017; 22(3): 273. [DOI] [PubMed] [Google Scholar]
  • 9.Fox ML, Dwyer DJ, Ganster DC. Effects of stressful job demands and control on physiological and attitudinal outcomes in a hospital setting. Acad Manage J. Apr 1993; 36(2): 289–318. [PubMed] [Google Scholar]
  • 10.Solomon BC, Nikolaev BN, Shepherd DA. Does educational attainment promote job satisfaction? The bittersweet trade-offs between job resources, demands, and stress. Journal of Applied Psychology. 2022; 107(7): 1227. [DOI] [PubMed] [Google Scholar]
  • 11.Roelen CAM, Koopmans PC, de Graaf JH., et al. , Job demands, health perception and sickness absence. Occupational Medicine. 2007; 57(7): 499–504. doi: 10.1093/occmed/kqm065. [DOI] [PubMed] [Google Scholar]
  • 12.Assari S, Lapeyrouse LM, Neighbors HW. Income and Self-Rated Mental Health: Diminished Returns for High Income Black Americans. Behavioral Sciences. 2018; 8(5): 50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Theorell T, Karasek RA. Current issues relating to psychosocial job strain and cardiovascular disease research. J Occup Health Psychol. Jan 1996; 1(1): 9–26. doi: 10.1037//1076-8998.1.1.9. [DOI] [PubMed] [Google Scholar]
  • 14.Nakata A Psychosocial job stress and immunity: a systematic review. Methods Mol Biol. 2012; 934: 39–75. doi: 10.1007/978-1-62703-071-7_3. [DOI] [PubMed] [Google Scholar]
  • 15.Raymond A, Grzywacz JG, Robertson AM. Job Demand-Control and Hypertension in African Americans and Non-African Americans. J Occup Environ Med. Nov 1 2022; 64(11): 920–926. doi: 10.1097/jom.0000000000002642. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Haun VC, Oppenauer V. The role of job demands and negative work reflection in employees’ trajectory of sleep quality over the workweek. Journal of occupational health psychology. 2019; 24(6): 675. [DOI] [PubMed] [Google Scholar]
  • 17.Hakanen JJ, Schaufeli WB, Ahola K. The Job Demands-Resources model: A three-year cross-lagged study of burnout, depression, commitment, and work engagement. Work & Stress. 2008/July/01 2008; 22(3): 224–241. doi: 10.1080/02678370802379432. [DOI] [Google Scholar]
  • 18.Laukkanen JA, Kunutsor SK. Is Improving Educational Attainment Key to Reducing the Burden Because of Cardiovascular Diseases? Am J Cardiol. Jul 31 2023; doi: 10.1016/j.amjcard.2023.07.051. [DOI] [PubMed] [Google Scholar]
  • 19.Siqueira JS, Fernandes RCP. Physical and psychosocial demand at work: inequities related to race/skin color. Cien Saude Colet. Oct 2021; 26(10): 4737–4748. Demanda psicossocial e demanda fisica no trabalho: iniquidades segundo raca/cor. doi: 10.1590/1413-812320212610.19982020. [DOI] [PubMed] [Google Scholar]
  • 20.Assari S Blacks’ Diminished Return of Education Attainment on Subjective Health; Mediating Effect of Income. Brain Sciences. 2018; 8(9): 176. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Assari S, Bazargan M. Unequal associations between educational attainment and occupational stress across racial and ethnic groups. International journal of environmental research and public health. 2019; 16(19): 3539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Hurtado DA, Sabbath EL, Ertel KA., et al. , Racial disparities in job strain among American and immigrant long-term care workers. International Nursing Review. 2012; 59(2): 237–244. doi: 10.1111/j.1466-7657.2011.00948.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Creary MS. Bounded Justice and the Limits of Health Equity. J Law Med Ethics. 2021; 49(2): 241–256. doi: 10.1017/jme.2021.34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Farmer MM, Ferraro KF. Are racial disparities in health conditional on socioeconomic status? Soc Sci Med. Jan 2005; 60(1): 191–204. doi: 10.1016/j.socscimed.2004.04.026. [DOI] [PubMed] [Google Scholar]
  • 25.Wilson KB, Thorpe RJ Jr., LaVeist TA. Dollar for Dollar: Racial and ethnic inequalities in health and health-related outcomes among persons with very high income. Prev Med. Mar 2017; 96: 149–153. doi: 10.1016/j.ypmed.2016.08.038. [DOI] [PubMed] [Google Scholar]
  • 26.Assari S Blacks’ Diminished Return of Education Attainment on Subjective Health; Mediating Effect of Income. Brain Sci. Sep 12 2018; 8(9) doi: 10.3390/brainsci8090176. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Assari S, Boyce S, Bazargan M,. et al. , Unequal Protective Effects of Parental Educational Attainment on the Body Mass Index of Black and White Youth. Int J Environ Res Public Health. Sep 27 2019; 16(19) doi: 10.3390/ijerph16193641. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Radler BT. The Midlife in the United States (MIDUS) Series: A National Longitudinal Study of Health and Well-being. Open Health Data. 2014; 2(1) doi: 10.5334/ohd.ai. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Smith CE, Lee S, Allen TD. Hard Work Makes It Hard to Sleep: Work Characteristics Link to Multidimensional Sleep Health Phenotypes. Journal of Business and Psychology. 2023: 1–18. [Google Scholar]
  • 30.Assari S, Schatten HT, Arias SA., et al. , Higher Educational Attainment is Associated with Lower Risk of a Future Suicide Attempt Among Non-Hispanic Whites but not Non-Hispanic Blacks. Journal of Racial and Ethnic Health Disparities. 2019/October/01 2019; 6(5): 1001–1010. doi: 10.1007/s40615-019-00601-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Lunau T, Siegrist J, Dragano N., et al. , The association between education and work stress: does the policy context matter? PLoS One. 2015; 10(3): e0121573. doi: 10.1371/journal.pone.0121573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Dunham RB. Relationships of perceived job design characteristics to job ability requirements and job value. Journal of Applied Psychology. 1977; 62(6): 760–763. doi: 10.1037/0021-9010.62.6.760. [DOI] [Google Scholar]
  • 33.Horowitz J Relative Education and the Advantage of a College Degree. Am Sociol Rev. 2018; 83(4): 771–801. doi: 10.1177/0003122418785371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Crenshaw K, Fletcher R. Demarginalizing the intersection of race and sex : a black feminist critique of antidiscrimination doctrine, feminist theory and anti-racist politics. 1989. [Google Scholar]
  • 35.Garcia A Psychosocial Safety Climate, Decent Work, and Job Satisfaction for Black, Indigenous and People of Color. Azusa Pacific University; 2023. [Google Scholar]
  • 36.Retaining Gonzalez P. and Supporting BIPOC Professionals in PWIs: Addressing PWIs Equity Gap. University of Southern California; 2021. [Google Scholar]
  • 37.Weston G, Zilanawala A, Webb E., et al. , Long work hours, weekend working and depressive symptoms in men and women: findings from a UK population-based study. Journal of Epidemiology and Community Health. 2019; 73(5): 465–474. doi: 10.1136/jech-2018-211309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Assari S, Moghani Lankarani M. Workplace Racial Composition Explains High Perceived Discrimination of High Socioeconomic Status African American Men. Brain Sci. Jul 27 2018; 8(8) doi: 10.3390/brainsci8080139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Kelly H Racial tokenism in the school workplace: An exploratory study of black teachers in overwhelmingly white schools. Educational Studies. 2007; 41(3): 230–254. [Google Scholar]
  • 40.Hall DM, Stevenson HC. Double jeopardy: Being African-American and “doing diversity” in independent schools. Teachers College Record. 2007; 109(1): 1–23. [Google Scholar]
  • 41.Jackson PB, Thoits PA, Taylor HF. Composition of the workplace and psychological well-being: The effects of tokenism on America’s Black elite. Social Forces. 1995; 74(2): 543–557. [Google Scholar]
  • 42.Jackson PB, Thoits PA, Taylor HF. Composition of the Workplace and Psychological Well-Being: The Effects of Tokenism on America’s Black Elite*. Social Forces. 1995; 74(2): 543–557. doi: 10.1093/sf/74.2.543. [DOI] [Google Scholar]
  • 43.Pullen E, Fischer MW, Morse G., et al. , Racial disparities in the workplace: The impact of isolation on perceived organizational support and job satisfaction. Psychiatr Rehabil J. Mar 2023; 46(1): 45–52. doi: 10.1037/prj0000543. [DOI] [PubMed] [Google Scholar]
  • 44.Settles IH, Buchanan NT, Dotson K. Scrutinized but not recognized:(In) visibility and hypervisibility experiences of faculty of color. Journal of Vocational Behavior. 2019; 113: 62–74. [Google Scholar]
  • 45.Sackett PR, DuBois CL, Noe AW. Tokenism in performance evaluation: The effects of work group representation on male-female and White-Black differences in performance ratings. Journal of Applied Psychology. 1991; 76(2): 263. [Google Scholar]
  • 46.Robinson SJ. Spoke tokenism: Black women talking back about graduate school experiences. Race Ethnicity and Education. 2013; 16(2): 155–181. [Google Scholar]
  • 47.Najand B, Maharlouei N, Rahmani A., et al. , COVID-19 Pandemic as an Equalizer of the Health Returns of Educational Attainment for Black and White Americans. National Library off Medicine. 2023. Accessed July 25. https://pubmed.ncbi.nlm.nih.gov/37490210/ [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Rahmani A, Najand B, Maharlouei N., et al. , COVID-19 Pandemic as an Equalizer of the Health Returns of Educational Attainment for Black and White Americans. J Racial Ethn Health Disparities. Jul 25 2023; doi: 10.1007/s40615-023-01601-w. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES