Attributions for Everyday Discrimination and All-Cause Mortality Risk Among Older Black Women: A Latent Class Analysis Approach

Abstract

Background and Objectives: This study examined the relationship between number of attributed reasons for everyday discrimination and all-cause mortality risk, developed latent classes of discrimination attribution, and assessed whether these latent classes were related to all-cause mortality risk among U.S. older Black women. Research Design and Method: Participants were from the 2006 and 2008 waves of the Health and Retirement Study (N = 1,133; 335 deaths). Vital status was collected through the National Death Index through 2013 and key informant reports through 2019. Latent class analyses were conducted on discrimination attributions. Weighted Cox proportional hazards model was used to predict all-cause mortality. Analyses controlled for demographic characteristics, socioeconomic status, and health. Results: Reporting greater attributions for everyday discrimination was associated with higher mortality risk (hazard ratio [HR] = 1.117; 95% confidence interval [CI]: 1.038-1.202; p