Table 4.
Logistic Regression Models for Screening and Final BP Status, N = 1070
| BP status ≥ 90th percentile at first screening | |||||
|---|---|---|---|---|---|
| Variable | β | (s.e.) | p | Exp(B) | (95% CI) |
| Male | .245 | (.133) | .07 | 1.28 | (0.99-1.66) |
| Hispanica | .473 | (.160) | .003 | 1.60 | (1.17-2.19) |
| Other Ethnicity/Racea | .857 | (.282) | .002 | 2.36 | (1.36-4.10) |
| z BMI | .164 | (.090) | .07 | 1.18 | (0.99-1.40) |
| Waist (cm) | .028 | (.007) | <.001 | 1.03 | (1.01-1.04) |
| Constant | -3.184 | (.474) | <.001 | 0.04 | |
| Model x2 = 81.8, df = 5, p < 0.001, Nagelkerke R2 = 0.101 | |||||
| BP status ≥ 90th percentile at final (third) screening | |||||
| Variable | β | s.e. | p | Exp(B) | 95% CI |
| Male | .438 | .221 | .05 | 1.55 | 1.01-2.39 |
| Hispanica | .292 | .272 | .28 | 1.34 | 0.79-2.28 |
| Other Ethnicity/Racea | .387 | .446 | .39 | 1.47 | 0.62-3.53 |
| z BMI | .138 | .161 | .39 | 1.15 | 0.84-1.58 |
| Waist (cm) | .044 | .011 | <.001 | 1.05 | 1.02-1.07 |
| Constant | -6.081 | .726 | <.001 | .002 | |
| Model x2 = 58.7, df = 5, p <0.001, Nagelkerke R2 = 0.115 | |||||
a
Reference category = African American
Abbreviations: CI, Confidence Interval, BP, Blood Pressure; BMI, Body Mass Index