Table 5. Ordinal Logistic Regression Results and the Main Factors of hypertension control in China: 45+ years old.
| Variables | Coefficient | Standard error | t value | p value | Odds ratio | 95% CI |
|---|---|---|---|---|---|---|
| Individual characteristics | ||||||
| Age | 0.008 | 0.002 | 4.382 | 0.000*** | 1.01 | 1.00–1.01 |
| Male | −0.016 | 0.045 | −0.348 | 0.728 | 0.98 | 0.90–1.07 |
| Married | 0.177 | 0.049 | 3.607 | 0.000*** | 1.19 | 1.08–1.32 |
| Behavioral health | ||||||
| BMI category | ||||||
| Normal weight | ||||||
| Overweight | 0.234 | 0.035 | 6.630 | 0.000*** | 1.26 | 1.18–1.36 |
| Obesity | 0.420 | 0.069 | 6.114 | 0.000*** | 1.52 | 1.33–1.74 |
| Smoking | ||||||
| Non-smoker | ||||||
| Past smoker | 0.158 | 0.062 | 2.558 | 0.011* | 1.17 | 1.04–1.32 |
| Current smoker | −0.009 | 0.045 | −0.190 | 0.849 | 0.99 | 0.91–1.08 |
| Drinking | ||||||
| Abstainer | ||||||
| Current drinker | 0.033 | 0.039 | 0.851 | 0.395 | 1.03 | 0.96–1.12 |
| Socioeconomic gradient | ||||||
| Education | ||||||
| Illiterate | ||||||
| Primary | −0.208 | 0.040 | −5.170 | 0.000*** | 0.81 | 0.75–0.88 |
| Secondary | 0.046 | 0.046 | 0.991 | 0.322 | 1.05 | 0.96–1.15 |
| College and above | 0.490 | 0.119 | 4.128 | 0.000*** | 1.63 | 1.29–2.06 |
| Adjusted household income | ||||||
| First tercile | ||||||
| Second tercile | 0.023 | 0.037 | 0.622 | 0.534 | 1.02 | 0.95–1.10 |
| Third tercile | 0.345 | 0.040 | 8.625 | 0.000*** | 1.41 | 1.31–1.53 |
| Intercepts | Value | Standard error | ||||
| 1|2 | −0.616 | 0.136 | ||||
| 2|3 | 0.212 | 0.135 | ||||
| 3|4 | 1.371 | 0.136 | ||||
| 4|5 | 2.450 | 0.137 | ||||
Dependent variable: The hypertension control was divided into quintiles. (i.e., the respondents were split into five groups of similar size at 20%, 40%, 60%, and 80% after ranking all the provinces and municipalities by the rates of hypertension control). 0–20% quintile = 1, 20–40% quintile = 2, 40–60% quintile = 3, 60–80% quintile = 4, 80–100% quintile = 5. *p < 0.05, **p < 0.01, ***p < 0.001.