Testing hypotheses from the emerging Identity Pathology (IP) framework, we assessed race-gender differences in the effects of reporting experiences of racial and gender discrimination simultaneously compared with racial or gender discrimination alone, or no discrimination, on future cardiovascular health (CVH). Data were from a sample of 3758 black or white adults in CARDIA, a community-based cohort recruited in Birmingham, AL; Chicago, IL; Minneapolis, MN, and Oakland, CA in 1985–6 (year 0). Racial and gender discrimination were assessed using the Experiences of Discrimination scale. CVH was evaluated using a 12-point composite outcome modified from the Life's Simple 7, with higher scores indicating better health. Multivariable linear regressions were used to evaluate the associations between different perceptions of discrimination and CVH scores two decades later by race and gender simultaneously. Reporting racial and gender discrimination in ≥2 settings were 48% of black women, 42% of black men, 10% of white women, and 5% of white men. Year 30 CVH scores (mean, SD) were 7.9(1.4), 8.1(1.6), 8.8(1.6), and 8.7(1.3), respectively. Compared with those of their race-gender groups reporting no discrimination, white women reporting only gender-based discrimination saw an adjusted score difference of +0.3 (95% CI: 0.0,0.6), whereas white men reporting only racial discrimination had on average a 0.4 (95% CI: 0.1,0.8) higher score, and scores among white men reporting both racial and gender discrimination were on average 0.6 (95% CI: 1.1,-0.1) lower than those of their group reporting no discrimination. Consistent with predictions of the IP model, the associations of reported racial and gender discrimination with future CVH were different for different racially-defined gender groups. More research is needed to understand why reported racial and gender discrimination might better predict deterioration in CVH for whites than blacks, and what additional factors associated with gender and race contribute variability to CVH among these groups.

Sociodemographic group-specific strategies for stress management may contribute to racial and gender disparities in health outcomes in the USA. We aimed to systematically review theoretical and empirical investigations of factors influencing variation in response to and management of identity-related stress among black and white Americans. OvidPsychInfo and PubMed databases were searched to identify eligible studies. Criteria were participant age of ≥ 18 years, conducted in the US sampling black or white participants, and published in English in a peer-reviewed journal. The final sample included 167 articles. Theories suggesting social status inequities as the primary contributor to disparate strategies employed by black and white women and men to manage social identity-related stress were most frequently tested and supported. Studies disproportionally focused on how women and black persons cope as targets of prejudice and discrimination rather than on how management strategies of men or white persons are affected as perpetrators. Finally, there was theoretical support for an interactive effect of race and gender on stress management, but empirical evidence was lacking, particularly among black men, white women, and white men. The literature could be strengthened through the use of prospective cohorts and nationally representative samples, as well as study designs accounting for potential within-race and within-gender variation in the effects of social identity-related stressors on coping. With greater consistency in methodology, future empirical studies may yield additional information regarding group differences in stress management pertinent to clarifying mechanisms for the health consequences of exposure to social inequity among black and white women and men.

Chronic stress stemming from social inequity has long been recognized as a risk factor for poor physical and psychological health, yet challenges remain in uncovering the mechanisms through which such exposures affect health outcomes and lead to racial and gender health disparities. Examination of sociocultural influences on group identity, coping, and the expression of stress may yield relevant insight into potential pathways of inequity's effect on risk for chronic disease. The objective of this study was to examine the relationship between chronic stress as measured by allostatic load (AL) and depression by gendered race group. Using National Health and Nutrition Examination Survey 2005-2010 data, we included Black and White U.S. adults aged 18-64 years (n = 6,431). AL was calculated using 9 biomarkers; scores ≥4 indicated high risk. Depression was assessed using the Patient Health Questionnaire-9; scores ≥10 indicated likely clinical depression. Logistic models estimated odds of depression as a function of AL for each gendered race group adjusting for age and family poverty-to-income ratio. Effect modification was assessed by analysis of variance and relative excess risk due to the interaction. We observed modification on the multiplicative scale. High AL was more strongly associated with depression among White women and Black men than among Black women or White men. In conclusion, a potential manifestation of high chronic stress burden, depression, differs across gendered race groups. These disparities may be due to group-specific coping strategies that are shaped by unequal social contexts. (PsycINFO Database Record

The prevalence and severity of depression differ in women and men and across racial groups. Psychosocial factors such as chronic stress have been proposed as contributors, but causes of this variation are not fully understood. Allostatic load, a measure of the physiological burden of chronic stress, is known to be associated with depression. Using data from the National Health and Nutrition Examination Survey 2005–2010, we examined the associations of nine allostatic load biomarkers with depression among US black and white adults aged 18–64 years (n = 6431). Depressive symptoms were assessed using the Patient Health Questionaire-9; logistic models estimated adjusted odds of depression based on allostatic load biomarkers. High-risk levels of c-reactive protein were significantly associated with increased odds of depression among white women (adjusted odds ratio (aOR) = 1.7, 95% CI: 1.1–2.5) and men (aOR = 1.8, 95% CI: 1.1–2.8) but not black women (aOR = 0.8, 95% CI: 0.6–1.1) or men (aOR = 0.9, 95% CI: 0.5–1.5). Among black men, hypertension (aOR = 1.7, 95% CI: 1.1–2.7) and adverse serum albumin levels (aOR = 1.7, 95% CI: 1.0–2.9) predicted depression, while high total cholesterol was associated with depression among black women (aOR = 1.6, 95% CI: 1.0–2.7). The associations between allostatic load biomarkers and depression varies with gendered race, suggesting that, despite consistent symptomatology, underlying disease mechanisms may differ between these groups.

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