Table 7.
Logistic regression model: Study of human papillomavirus (HPV) vaccine uptake in three rural Georgia counties, 2009–2011
| Measure | Block 1 | Block 2 | [95% CI] | ||||
|---|---|---|---|---|---|---|---|
| β | SE β | Odds ratio (p value) | β | SE β | Odds ratio (p value) | ||
| Racea,b (0 = African American; 1 = other) | .748 | .236 | 2.113 (.002) | .683 | .239 | 1.980 (.004) | [1.239, 3.165] |
| Religiona,b (0 = Baptist; 1 = Other) | 1.116 | .230 | 3.054 (<.001) | .979 | .236 | 2.663 (<.001) | [1.677, 4.229] |
| Perceived benefits (higher % agree Items) | −.012 | .005 | .988 (.025) | [.978, .999] | |||
| Perceived barriersb (higher % agree Items) | .024 | .005 | 1.024 (< .001) | [1.013, 1.035] | |||
| Constant | −1.165 | .125 | .312 (< .001) | −1.413 | .233 | .244 (< .001) | |
| Block χ2, df (p value) | 48.564, 2 (< .001) | 20.234, 2 (< .001) | |||||
| Model χ2, df (p value) | 48.564, 2 (< .001) | 68.798, 4 (< .001) | |||||
| −2 log likelihood (−2LL) | 593.602 | 573.368; [deviance χ2 = 20.234, df = 2, p < .001] | |||||
| Nagelkerke R | .128 | .177 | |||||
| Correctly classified | 68.0% | 71.4% | |||||
Stepwise selection (forward likelihood ratio method) used to select variable to keep within each block.
Block 1: Demographic variables: number of male children, parent’s gender, race, religion, education.
Block 2: Four theoretical constructs: perceived vulnerability, severity, benefits, barriers.
AA = African American; CI = confidence interval; df = degrees of freedom; p = probability; SD = standard deviation; t = Student’s t test.
Religion and race were significantly associated (85% of Baptists were African American; 52.1% of other religions were African American; χ2 = 57.032, df = 1, p < .001).
Perceived barrier scores were significantly lower for African American (AA) than for other races: (AA: mean = 31.4 (SD = 23.9); other races: mean = 38.2 (SD = 22.1); t = −2.749, df = 515, p = .005) and for Baptists (Baptists: mean = 31.2 (SD = 3.2); other religions: mean = 39.1 (SD = 24.0); t = −3.262, df = 513, p = .001).