Microaggression and discrimination exposure on young adult anxiety, depression, and sleep.
Academic Article
Overview
abstract
BACKGROUND: Increasing research examines social determinants of health, including structural oppression and discrimination. Microaggression - subtle/ambiguous slights against one's marginalized identity - is distinct from discrimination, which typically presents as overt and hostile. The current study investigated the comparative effects of each exposure on young adult anxiety, depression, and sleep. Race-stratified analyses investigated patterns across groups. METHODS: Young adults (N = 48,606) completed the Spring 2022 American College Health Association-National College Health Assessment III. Logistic regressions tested odds of anxiety symptoms, depressive symptoms, and sleep disturbance in association with microaggression and discrimination exposure. RESULTS: Microaggression and discrimination equally predicted increased likelihood of anxiety symptoms (ORDiscrim = 1.46, ORMicro = 1.42). Discrimination more strongly predicted depressive symptoms (OR = 1.59) and sleep disturbance (OR = 1.54) than microaggression (ORDepress = 1.24, ORSleep = 1.27). Race-stratified analyses indicated stronger associations between the exposures and poor mental health in Whites than Asian American, Black/African American, and Hispanic or Latino/a/x respondents. LIMITATIONS: Microaggression and discrimination exposure were each assessed using a single item. The outcome measures were not assessed using validated measures of anxiety, depression, and sleep (e.g., GAD-7, MOS-SS), thus results should be interpreted with caution. Analyses were cross-sectional hindering our ability to make causal inferences. CONCLUSIONS: The findings provide preliminary evidence that microaggression and discrimination exposure operate on health in distinct ways. Racially marginalized individuals may demonstrate a blunted stress response relative to Whites. Treatment approaches must be tailored to the particular exposures facing affected individuals to maximize benefits.
