Journal of affective disorders · 2025
Correlates of discrimination and vigilance severity profiles in a national United States sample.
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Wong Roger, Irfan Omair
Аннотация
BACKGROUND: There are long-standing disparities in discrimination and hypervigilance, however there is no research exploring correlates of different severity profiles using a national U.S.
SAMPLE: We identified patterns in discrimination and vigilance, and examined sociodemographic, health, and geographic factors associated with severity.
METHODS: Data was retrieved from 28,202 individuals in the 2023 National Health Interview Survey, a nationally representative U.S. sample of adults aged 18+. Respondents completed the Everyday Discrimination Scale and Heightened Vigilance Scale, and a latent class analysis (LCA) identified severity subgroups. Weighted multinomial logistic regression analyzed sociodemographic, health, and geographic variables associated with discrimination-vigilance severity.
RESULTS: Three discrimination-vigilance severity latent classes emerged: low (45.6 %), moderate (39.8 %), and high (14.7 %). High severity was significantly associated with Black (Relative Risk Ratio [RRR] = 3.62, 95 % CI = 3.07-4.27) and Asian (RRR = 1.25, 95 % CI = 1.04-1.51) racial groups, female (RRR = 1.14, 95 % CI = 1.03-1.26), higher education such as graduate degree (RRR = 2.48, 95 % CI = 1.92-3.20), U.S. citizenship (RRR = 1.75, 95 % CI = 1.39-2.22), employed (RRR = 1.64, 95 % CI = 1.39-2.22), sexual minoritized groups such as bisexual orientation (RRR = 3.95, 95 % CI = 2.91-5.37), poor health (RRR = 2.14, 95 % CI = 1.54-2.97), disability (RRR = 1.22, 95 % CI = 1.02-1.46), depression (RRR = 3.11, 95 % CI = 2.53-3.84), anxiety (RRR = 4.07, 95 % CI = 3.39-4.87), and West region (RRR = 1.45, 95 % CI = 1.17-1.78).
CONCLUSIONS: We identified discrimination-vigilance severity subgroups, with numerous sociodemographic, health, and geographic factors linked to high severity. These results may identify high-risk individuals and guide clinical practice given the influence of discrimination and vigilance on psychological distress and mental health disorders.
SAMPLE: We identified patterns in discrimination and vigilance, and examined sociodemographic, health, and geographic factors associated with severity.
METHODS: Data was retrieved from 28,202 individuals in the 2023 National Health Interview Survey, a nationally representative U.S. sample of adults aged 18+. Respondents completed the Everyday Discrimination Scale and Heightened Vigilance Scale, and a latent class analysis (LCA) identified severity subgroups. Weighted multinomial logistic regression analyzed sociodemographic, health, and geographic variables associated with discrimination-vigilance severity.
RESULTS: Three discrimination-vigilance severity latent classes emerged: low (45.6 %), moderate (39.8 %), and high (14.7 %). High severity was significantly associated with Black (Relative Risk Ratio [RRR] = 3.62, 95 % CI = 3.07-4.27) and Asian (RRR = 1.25, 95 % CI = 1.04-1.51) racial groups, female (RRR = 1.14, 95 % CI = 1.03-1.26), higher education such as graduate degree (RRR = 2.48, 95 % CI = 1.92-3.20), U.S. citizenship (RRR = 1.75, 95 % CI = 1.39-2.22), employed (RRR = 1.64, 95 % CI = 1.39-2.22), sexual minoritized groups such as bisexual orientation (RRR = 3.95, 95 % CI = 2.91-5.37), poor health (RRR = 2.14, 95 % CI = 1.54-2.97), disability (RRR = 1.22, 95 % CI = 1.02-1.46), depression (RRR = 3.11, 95 % CI = 2.53-3.84), anxiety (RRR = 4.07, 95 % CI = 3.39-4.87), and West region (RRR = 1.45, 95 % CI = 1.17-1.78).
CONCLUSIONS: We identified discrimination-vigilance severity subgroups, with numerous sociodemographic, health, and geographic factors linked to high severity. These results may identify high-risk individuals and guide clinical practice given the influence of discrimination and vigilance on psychological distress and mental health disorders.