Table 4.
Logistic regression analysis showing the association between hypertension and sociodemographic and lifestyle risk factors according to the 2017 ACC/AHA guideline
| Crude OR (95 % IC) | Adjusted OR (95 % IC) | |
| Sex | ||
| Females | 0.120 (0. 089 – 0.162) *** | 0.114 (0.082 – 0.154) *** |
| Males | 1 | 1 |
| Age | ||
| 18 – 23 | 0.428 (0.332 – 0.552) *** | 0.529 (0.372 – 0.754) *** |
| 24 – 30 | 1 | 1 |
| Grade of study | ||
| 1st – 3rd grade | 0.596 (0.458 – 0.778) *** | 0,676 (0.460 – 0.994)* |
| 4th – 7th grade | 1 | 1 |
| Smoking habit | ||
| No | 0.125 (0.074 – 0.212) *** | 0.320 (0.180 – 0.571) *** |
| Yes | 1 | 1 |
| Alcohol consumption | ||
| No | 0.290 (0.177 – 0.477) *** | |
| Yes | 1 | |
| Overweight | ||
| No | 0.424 (0.307 – 0.584)** | 0.377 (0.256 – 0.554) *** |
| Yes | 1 | |
| Physical activity | ||
| No | 0.269 (0.125 – 0.289) ** | 0.178 (0.118 – 0.268)*** |
| Yes | 1 |
*
p< 0, 05
**
p < 0, 01
***
p < 0,001
binary logistic regression considering the simultaneous effect of all the explanatory variables.