Citation

Keum BTH, Choi AY. Int. Rev. Psychiatry 2023; 35(3-4): 310-322.

Copyright

(Copyright © 2023, Informa - Taylor and Francis Group)

DOI

10.1080/09540261.2023.2180346

PMID

37267025

Abstract

Online racism is a digital social determinant to health inequity and an acute and widespread public health problem. To explore the heterogeneity of online racism exposure within and across race, we latent class modelled this construct among Asian (n = 310), Black (n = 306), and Latinx (n = 163) emerging adults in the United States and analysed key demographic and psychosocial health correlates. We observed Low and Mediated Exposure classes across all racial groups, whereas High Exposure classes appeared among Asian and Black people and the Systemic Exposure classes emerged uniquely in Asian and Latinx people. Generally, the High Exposure classes reported the greatest psychological distress and unjust views of society compared to all other classes. The Mediated and Systemic Exposure classes reported greater mental health costs than the Low Exposure classes. Asian women were more likely to be in the Mediated Exposure class compared to the Low Exposure class, whereas Black women were more likely to be in the Mediated Exposure class compared to both High and Low Exposure classes. About a third of each racial group belonged to the Low Exposure classes. Our findings highlight the multidimensionality of online racism exposure and identify hidden yet divergently risky subgroups. Research implications include examination of class membership chronicity and change over time, online exposure to intersecting oppressions, and additional antecedents and health consequences of diverse forms of online racism exposure.

Language: en

Keywords

psychological distress; latent class analysis; Emerging adults of colour; online racism; unjust views of society