Table 3.
The role of independent variables related to uncontrolled hypertension in the multiple logistic regression model
| Independent Variable | Compared to Controlled hypertension | ||
|---|---|---|---|
| Odds Ratio (95% CI*) | P-Value | ||
| Normal (< 25 kg/m2) | Reference | ||
| BMI* | Obese/Overweight (≥ 25 kg/m2) | 1.35 (0.94–1.94) | 0.104 |
| Elderly | 1.04 (0.79–1.38) | 0.761 | |
| Sex (Reference: Female) | 2.12 (1.54–2.94) | < 0.001 | |
| Economic Status | 1st Tertile | Reference | |
| 2nd Tertile | 1.18 (0.81–1.73) | 0.376 | |
| 3rd Tertile | 1.15 (0.83–1.60) | 0.402 | |
| Dyslipidemia | 1.13 (0.62–2.04) | 0.692 | |
| Polypharmacy | 0.20 (0.15–0.27) | < 0.001 | |
| Diabetes | 3.29 (2.47–4.37) | < 0.001 | |
| CKD* (Reference: GFR ≤ 60) | 0.31 (0.24–0.40) | < 0.001 | |
| Cardiovascular Disease | 0.66 (0.49–0.89) | 0.006 | |
| Smoking | 0.69 (0.34–1.41) | 0.314 | |
| Education (year) | 0.98 (0.95–1.02) | 0.334 | |
*CI: Confidence Interval; *BMI: Body Mass Index; *CKD: Chronic Kidney Disease: GFR ≤ 60