Table 2.
Summary of logistic regression analysis for variables predicting intention to get tested for COVID-19 if recommended by a health provider (n = 178)
| Predictor | Summary statistica | Univariate logistic regression odds ratio (95% CI) | Multivariate regression Adjusted odds ratio (95% CI) |
|---|---|---|---|
| Sexb | |||
| Female | 92 (52.2%) | Reference | |
| Male | 82 (46.1%) | .864 (.37–2.05) | |
| Race/Ethnicityc | |||
| White only | 98 (55.1%) | 2.03 (.86–4.81) | |
| Black only | 21 (11.8%) | .47 (.15–1.42) | |
| Asian only | 23 (12.9%) | 1.83 (.40–8.34) | |
| Latino | 21 (11.8%) | .467 (.15–1.41) | |
| College Studentb | |||
| No | 84 (47.2%) | Reference | |
| Yes | 93 (52.2%) | 1.66 (.69–4.00) | |
| High-risk state residentb | |||
| No | 123 (69.1%) | Reference | |
| Yes | 52 (29.2%) | 3.56 (1.02–12.46) | |
| Age in years | 23.52 (SD = 1.5) | 1.12 (.85–1.46) | |
| Health Belief Score | |||
| Social Concern | 4.54 (SD = .7) | 4.06 (2.22–7.45) ∗∗∗ | 4.38 (1.89–10.19)∗∗∗ |
| Severity | 4.21 (SD = .9) | 2.13 (1.38–3.29) ∗∗∗ | 1.67 (.94–2.96) |
| Susceptibility | 3.11 (SD = 1.0) | 1.09 (.70–1.68) | .65 (.37–1.14) |
| Barriers | 2.49 (SD = 1.0) | .41 (.26–.66) ∗∗∗ | .44 (.25–.78)∗∗ |
| Benefits | 4.29 (SD = .7) | 1.81 (1.04–3.16) ∗ | .56 (.21–1.46) |
| Constant | .61 | ||
| X2 | 41.03∗∗∗ | ||
| Df | 5 | ||
| Nagelkerke R2 | .37 |
∗p < .05, ∗∗p < .01, ∗∗∗p < .001.
a
Summary statistics are presented for entire sample, including n (%) for categorical variables and mean (SD) for continuous variables.
b
Three (1.7%) missing cases for sex, 1 (.6%) missing case for college student status, and 3 (1.7%) missing cases for high-risk state resident status.
c
Analysis was not conducted for American Indian owing to low number of cases (n = 2).