Perceived negative political climate among Hispanic/Latino adolescents before and after the 2020 U.S. presidential election: Associations with internalizing symptoms and substance use

Abstract

The political climate often changes following the installment of a new president. This volatility presents opportunities for examining how elections might affect vulnerable subgroups such as Hispanic/Latino (HL) adolescents. The present study explored the perception of negative political climate among HL adolescents before and after the 2020 U.S. presidential election and its association with internalizing symptoms and substance use. We conducted the study in Los Angeles and Miami between 2020 and 2021, with a sample of 304 HL adolescents (Females = 60.8 %), aged 15.3 years on average. Participants completed measures of negative political climate (pre- post-election) and measures of depressive symptoms, anxiety, substance misuse, and substance use intentions after the election. We used paired tests and linear mixed-effects modeling to explore changes in perceived negative climate before and after the election. Structural equation modeling was used to determine predictors of negative political climate and its associations with internalizing symptoms and substance use. Results indicated that following the election negative political climate increased significantly in Miami and among Cuban-origin adolescents but not in Los Angeles or among Mexican-origin adolescents. Pre-election perceived negative political climate was significantly predicted by gender, study site, and mother’s nativity. Pre-election negative political climate predicted post-election internalizing symptoms and substance use intentions indirectly through post-election negative political climate. HL youth’s perceived political climate is a complex construct that might vary across different sociopolitical contexts and populational sub-groups. Exploring variations in politically-based cultural stressors and their role as mental health and substance use risk factors is crucial to addressing HL disparities.