Guided by an intersectionality framework, this study examined intersectional discrimination attributions and their associations with health outcomes. Older respondents (aged ≥50) from the Health and Retirement Study in 2014-2015 were included ( N = 6286). Their reasons for discrimination (age, gender, sexual orientation, race, national origin, religion, financial status, weight, physical appearance, disability, and others) were examined. Latent class analysis examined the subgroup profiles. Six classes were identified: class 1 (54.52% of the sample) had no/minimal discrimination; Class 2 (21.89%) experienced primarily ageism; class 3 (8.81%) reported discrimination based on age/gender/national origin/race; class 4 (7.99%) attributed discrimination to financial/other reasons; class 5 (5.87%) experienced discrimination based on age/weight/physical appearance/disability; and class 6 (0.92%) perceived high discrimination. Intersectional discrimination was associated with poorer self-rated health and higher depressive symptoms compared to the no/minimal discrimination group. Multiple marginalized identities co-occur and contribute to discrimination. An intersectional approach is recommended to understand discrimination in later life.
Intensity of Social Support Matters: A Latent Class Analysis to Identify Levels of Social Support Associated with Optimal Health Outcomes Among Women Living with HIV
