Table 6.
Multivariate logistic regression analysis for hypertension diagnosis as the dependent variable with statistically significant independent parameters among the sub-population of age-, sex- and smoking-matched subjects.
| Parameter | B | Standard Error | p Value | Exp(B) and 95% Wald Confidence Interval for Exp (B) | Collinearity Statistics * | |
|---|---|---|---|---|---|---|
| Tolerance | VIF | |||||
| (Intercept) | 1.6 | 0.6 | 0.01 | |||
| Locality of residence—Urban non-Jewish vs. Urban Jewish | 0.5 | 0.5 | 0.265 | 1.7 (0.6–4.7) | 0.977 | 1.024 |
| Urban Jewish—Rural vs. Urban Jewish | 0.2 | 0.5 | 0.633 | 1.2 (0.4–3.5) | 0.988 | 1.012 |
| Socio-economic status (SES)—low vs. high | 0.3 | 0.1 | 0.026 | 1.4 (1.03–1.8) | 0.947 | 1.056 |
| Socio-economic status (SES)—medium vs. high | 0.1 | 0.06 | 0.023 | 1.1 (1.02–1.3) | 0.915 | 1.093 |
| Birth country: Western Europe vs. native Israeli | 0.6 | 0.09 | <0.001 | 1.9 (1.6–2.3) | 0.642 | 1.558 |
| Birth country: East Europe and FSU vs. native Israeli | 0.4 | 0.2 | 0.063 | 1.5 (0.9–2.5) | 0.832 | 1.202 |
| Birth country: Asia vs. native Israeli | 0.5 | 0.3 | 0.103 | 1.7 (0.8–3.4) | 0.936 | 1.068 |
| Birth country: Ethiopia vs. native Israeli | −0.3 | 0.3 | 0.225 | 0.7 (0.3–1.2) | 0.925 | 1.081 |
| Birth country: Africa vs. native Israeli | −0.4 | 0.4 | 0.352 | 0.6 (0.2–1.6) | 0.925 | 1.081 |
| Birth country: North America vs. native Israeli | 0.3 | 0.2 | 0.253 | 1.3 (0.8–2.3) | 0.842 | 1.187 |
| Birth country: South America vs. native Israeli | 0.5 | 0.3 | 0.077 | 1.7 (0.9–3.3) | 0. 898 | 1.114 |
| Education: high school vs. academic | 0.4 | 0.08 | <0.001 | 1.5 (1.3–1.8) | 0.745 | 1.343 |
| Education: technician vs. academic | 0.1 | 0.09 | 0.228 | 1.7 (0.9–3.3) | 0.751 | 1.332 |
| Total number of teeth that required fillings | 0.02 | 0.01 | 0.059 | 1.02 (0.9–1.0) | 0.930 | 1.075 |
| Total number of teeth that required endodontic treatment | 0.03 | 0.09 | 0.700 | 1.03 (0.8–1.2) | 0.943 | 1.060 |
| Missing teeth | 0.005 | 0.02 | 0.800 | 0.9 (0.9–1.0) | 0.932 | 1.073 |
| Hyperlipidemia | 0.04 | 0.1 | 0.809 | 1.08 (0.7–1.4) | 0.974 | 1.027 |
| Diabetes mellitus | 1.4 | 0.2 | <0.001 | 4.08 (2.6–6.1) | 0.949 | 1.054 |
| Obesity | 1.0 | 0.07 | <0.001 | 2.7 (2.4–3.2) | 0.770 | 1.298 |
| Cardiovascular disease | 0.6 | 0.09 | <0.001 | 1.8 (1.5–2.2) | 0.939 | 1.065 |
| Fatty liver | 0.5 | 0.1 | <0.001 | 1.7 (1.3–2.3) | 0.910 | 1.099 |
| Obstructive sleep apnea | 0.2 | 0.2 | 0.265 | 1.3 (0.8–2.02) | 0.974 | 1.026 |
* Collinearity statistics: linear regression analysis. VIF: variance inflation factor.