The bulk of the literature on the relationship of discrimination to health has relied on retrospective reports of perceived exposure to discrimination. Much less is known known about the real-time within-person association between discrimination and biopsychosocial processes. Intensive longitudinal methods, including ecological momentary assessment (EMA) and daily diary studies, are well suited for studying the dynamic nature of discriminatory experiences in daily life. This review examines research utilizing EMA and daily diaries to study discrimination within individuals in real-time and natural settings. We identified studies of discrimination related to race, sex, weight, and sexual orientation, and examined the prevalence and frequency of discrimination in daily life, the psychosocial correlates of discrimination, contextual factors related to discriminatory experiences, and moderators of the effects of discrimination. We highlight the benefits of using EMA and daily diaries in the study of discrimination and biopsychosocial processes, and provide suggestions for future work on these associations. EMA data suggest that discrimination occurs more frequently than might be clear from survey research and is associated with poor mental health in daily life. Further, discrimination may be enacted through various means (e.g., verbal expressions, behavior), by a variety of perpetrators (e.g., spouses, friends), and in various settings (e.g., in the home, in public places) in daily life. This methodology has potential to facilitate our understanding of the dynamic temporal relationship between cognitive, behavioral, and emotional responses to discrimination and poor health outcomes in daily life.

This study used an intersectional approach (operationalized as the combination of more than one social identity) to examine the relationship between aspects of social identity (i.e., race, gender, age, and socioeconomic status [SES]), self-reported level of mistreatment, and attributions for discrimination. Self-reported discrimination has been researched extensively and there is substantial evidence of its association with adverse physical and psychological health outcomes. Few studies, however, have examined the relationship of multiple demographic variables (including social identities) to overall levels self-reported mistreatment as well the selection of attributions for discrimination. A diverse community sample (N = 292; 42.12% Black; 47.26% male) reported on experiences of discrimination using the Everyday Discrimination Scale. General linear models were used to test the effect of sociodemographic characteristics (i.e., race, gender, age, and SES) on total discrimination score and on attributions for discrimination. To test for intersectional relationships, we tested the effect of two-way interactions of sociodemographic characteristics on total discrimination score and attributions for discrimination. We found preliminary support for intersectional effects, as indicated by a significant race by age interaction on the selection of the race attribution for discrimination; gender by SES on the age attribution; age by gender on the education attribution; and race by SES on the economic situation attribution. Our study extends prior work by highlighting the importance of testing more than one factor as contributing to discrimination, particularly when examining to what sources individuals attribute discrimination.

This study examined the association between attributing self-reported discrimination to weight and diabetes outcomes (glycemic control, diabetes-related distress, and diabetes self-care). A community dwelling sample of 185 adults (mean age = 55.4; 80% White/Caucasian, 65% female) with poorly controlled Type 2 diabetes (HbA1c level ≥7.5%) provided demographic and several self-report measures (including diabetes-related distress, diabetes self-care activities, discrimination, and attributions of discrimination), and had height, weight, and glycated hemoglobin (HbA1c) assessed by trained research staff as part of a larger research study. Individuals who attributed self-reported discrimination to weight had significantly higher HbA1c levels, higher levels of diabetes-related distress, and worse diabetes-related self-care behaviors (general diet, exercise, and glucose testing). These relationships persisted even when controlling for BMI, overall discrimination, depressive symptoms, and demographic characteristics. Results indicate that the perception of weight stigma among individuals with type 2 diabetes is strongly associated with a range of poor diabetes outcomes. Efforts to reduce exposure to and/or teach adaptive coping for weight stigma may benefit patients with type 2 diabetes.

IMPORTANCELung cancer incidence and mortality disproportionately affect women and racial/ ethnic minority populations, yet screening guidelines for the past several years were derived from clinical trials of predominantly White men. To reflect current evidence, the US Preventive Services Task Force (USPSTF) has revised the eligibility criteria, which may help to ameliorate sex-and race/ ethnicity-related disparities in lung cancer screening. OBJECTIVE To determine the changes associated with the revised USPSTF guideline for lung cancer screening eligibility among female, Black, and Hispanic populations using a large nationwide survey. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study included respondents to theCenters for Disease Control and Prevention's Behavioral Risk Factor Surveillance System who were 50 to 80 years of age with a smoking history in 19 states that used the optional lung cancer screening module. The change in eligibility among female, male, Black, Hispanic, and White participants was examined. Eligibility by sex and race/ethnicity was compared with a reference population. Data were

Objective Many marginalized groups smoke at higher rates and have greater difficulty quitting than less marginalized groups. Most research on smoking cessation inequities has focused on a single sociodemographic attribute (eg, race or socioeconomic status), yet individuals possess multiple attributes that may increase risk. The current study used an intersectionality framework to examine how the interplay between multiple marginalized attributes may impact smoking cessation outcomes. Methods A diverse sample of 344 adults enrolled in a smoking cessation program and reported on sociodemographic attributes (eg, race/ethnicity, gender, income) and continuous smoking abstinence on their quit date and at 1, 2, and 4 weeks postquit date. A Cox proportional hazard regression model was used to estimate whether intersectional links among race/ethnicity, gender, and income were related to smoking cessation outcomes. Results Lower household income may be related to higher risk of smoking cessation failure. There were no significant interactions among race/ethnicity, gender, and income in predicting relapse. Pairwise intersectional group differences suggested some groups may be at higher risk of relapse. Number of marginalized sociodemographic attributes did not predict relapse. Conclusions Intersectionality may be a promising framework for addressing health inequities, and may help elucidate how to best design and target intervention efforts for individuals characterized by sociodemographic intersections that concur particularly high risk for poor tobacco cessation outcomes. Implications Despite an overall decline in smoking rates, socioeconomic inequities in smoking prevalence and cancer mortality are widening. Efforts targeting tobacco cessation should incorporate new theory to capture the complex set of factors that may account for tobacco cessation inequities (eg, multiple aspects of identity that may influence access to tobacco cessation treatment and exposure to certain stressors that impede cessation efforts). Intersectionality may be a promising framework for addressing health inequities in tobacco use and cessation and may help elucidate how to best design and target intervention efforts for individuals that concur particularly high risk for poor tobacco cessation outcomes.