Table 2.
Standardized unadjusted and adjusted ordinary least squares regression analyses examining the racial/ethnic differences in global worry (N = 6,514).
| Variables | Unadjusted |
Adjusted |
||
|---|---|---|---|---|
| B | 95% CI | B | 95% CI | |
| Race/ethnicity (White = 0) | ||||
| Black | .07** | [.02,.12] | -.01 | [-.05,.04] |
| Hispanic/Latino | .16*** | [.12,.21] | .07** | [.03,.11] |
| Multi-racial | .06*** | [.03,.09] | .03* | [.01,.06] |
| Asian/PI | .05*** | [.02,.08] | .05** | [.01,.08] |
| Other | .02* | [.001,.05] | .01 | [-.01,.04] |
Note: CI = confidence interval; *p < .05, **p < .01, ***p < .001.
Adjusted model includes several covariates: demographics (age, gender, education, U.S. region), mental and physical health collected 12–18 months before the pandemic, COVID-related direct exposure, community exposures (e.g., school and business closures), secondary stressors (e.g., job loss, health care restrictions), hours of COVID-related media use, and exposure to conflicting information.