Skin Tone and Perceived Discrimination: Health and Aging Beyond the Binary in NSHAP 2015.

OBJECTIVES: This paper introduces new measures of skin tone (self-reported) and perceived discrimination that are included in the third round of the National Social Life, Health, and Aging Project (NSHAP). We explain the rationale for these new measures, emphasizing, in particular, how they help researchers to conceptualize and measure the significance of race/ethnicity for health and aging beyond binary ethnoracial categories. METHOD: We describe new measures of skin tone and perceived discrimination for use in NSHAP 2015. We provide descriptive statistics on the distribution of skin tone (self-reported) by race/ethnicity. As a proof of concept, we use logistic and ordinary least squares regression analyses to examine the relationship between skin tone, perceived discrimination, and perceived stress among ethnoracial minorities. RESULTS: We find that there is significant variation in skin tone among non-White respondents in NSHAP 2015 (e.g., non-Hispanic Black and Latinx). We also find that skin tone (self-reported) is a significant predictor of the frequency of perceived discrimination and perceived stress among African American, but not Latinx respondents in NSHAP. DISCUSSION: The inclusion of new skin tone and discrimination measures in NSHAP 2015 provides a unique and novel opportunity for researchers to more deeply understand how race/ethnicity is connected to health and aging among ethnoracial minorities. Furthermore, it will enable analyses of how stress and perceived discrimination also affect patterns of health and aging among Whites against the backdrop of steadily increasing socioeconomic inequalities and shifting ethnoracial demographics in the United States.

Assessing Perceived Discrimination as Reported by Black and White Women Diagnosed with Breast Cancer.

OBJECTIVE: Although a number of factors contribute to racial disparities in breast cancer outcomes, perceived discrimination in healthcare may be a key factor that hinders positive interactions and negatively impacts patient outcomes. The goals of our study were to (1) assess the prevalence of perceived discrimination as reported by breast cancer patients and (2) identify factors related to discrimination in women overall as well as by race. DESIGN: This study is a secondary analysis of a larger study, "Narrowing the Gaps in Adjuvant Therapy," where a convenience sample of 359 women completed one telephone survey assessing sociodemographics, and attitudes and beliefs concerning breast cancer treatments and care. Chi-square analysis was used to assess the relationship of categorical variables with perceived discrimination, while the F-test was employed for continuous variables. Logistic regression determined predictors of perceived discrimination, a dichotomous variable (none vs. any). RESULTS: A majority of women were Black (58%), privately insured (85%), and had at least a Bachelor's degree (48%). Discrimination was reported by 32.4% of women, with significantly more Black women reporting discrimination than White women. Insurance status, attitudes toward treatment, and distress factors were significantly related to perceived discrimination. In the logistic model, women who were less trusting of their providers (OR = 0.863 [0.751, 0.993], p = .021) and Black women (OR = 7.241 [0.751, 0.993], p = .039) were more likely to report incidences of discrimination. CONCLUSIONS: Our findings suggest a need to understand Black survivor's experiences with healthcare. Similarly, future work must focus on identifying ways to improve provider trust amongst breast cancer survivors.