Table 2.
Results of Logistic Regression of Vaccine Uptake Status (Dependent Variable) on Demographic Characteristics (Predictor) among Syringe Services Program Participants in Oregon from July-September 2021.
| Predictor | Unadjusted Results |
Adjusted Results |
|||
|---|---|---|---|---|---|
| n | OR[95% CI] | p-value | OR[95% CI] | p-value | |
| Age | 248 | 1.04[1.02, 1.06] | 0.0004 | 1.03[1.01, 1.05] | 0.0070 |
| Non-White | 248 | 1.31[0.60, 2.85] | 0.5030 | ||
| Female | 248 | 0.82[0.48, 1.41] | 0.4712 | ||
| Education (High school degree or more) | 247 | 1.84[1.10, 3.09] | 0.0207 | 1.66[0.95, 2.88] | 0.0738 |
| Unstable housing (Unhoused or temporary housing) | 248 | 0.27[0.14, 0.52] | 0.0001 | 0.29[0.15, 0.59] | 0.0006 |
| Unemployed | 248 | 0.85[0.51, 1.42] | 0.5275 | ||
| Annual income (at least $15 k) | 213 | 0.61[0.30, 1.25] | 0.1774 | ||
Note. OR = odds ratio. Unadjusted results are based on separate logistic regression models for each predictor. n = number of participants with data for each predictor variable and vaccination status. Adjusted results are based on a model with age, education, and unstable housing as simultaneous predictors, and included 247 participants with complete data.