TABLE 5.
Multiple linear regression models considering global score as dependent variable, and sex, age, and education as explanatory variables (model 1), controlled by hypertension diagnosis (model 2) and for all diagnosis (model 3) (no. = 422)
| Model 1 | Model 2 | Model 3 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Explanatory variables | β | p value (β) | p value (F partial) | R 2 | β | p value (β) | p value (F partial) | R 2 | β | p value (β) | p value (F partial) | R 2 |
| Sex (Men) | −3.34012 | <.001* | <.001* | 0.1706 | −3.36123 | <.001* | <.001* | 0.1708 | −3.36945 | <.001* | <.001* | 0.1730 |
| Age (years) | 0.23108 | <.001* | 0.23450 | <.001* | 0.23465 | <.001* | ||||||
| Education (higher) | 3.96506 | <.001* | 3.95937 | <.001* | 3.94898 | <.001* | ||||||
Model 1: Only explanatory variables (noncontrolled model).
Model 2: Model 1, controlled by hypertension diagnosis.
Model 3: Model 1, controlled by all diagnosis (hypertension, diabetes, high cholesterol, other cardiovascular diseases).
*
Significant statistical difference (p < .05).