Table 3.
Multivariate logistic and linear regression analyses indicating associations between several variables and the different outcomes regarding cardiovascular diseases (CVDs).
Variable | OR | SE | 95% CI | P value |
---|---|---|---|---|
Model 1: knowledge of the CVDs' main risk factors (smoking, cholesterol, diabetes, hypertension, fatty diet) |
||||
Log likelihood = −396.29, χ 2 = 117.52 (6 df), P < 0.0001 | ||||
Self-perceived health status | 0.82 | 0.03 | 0.75–0.90 | <0.001 |
Number of children | ||||
One | 1* | |||
Three or more | 0.35 | 0.08 | 0.22–0.57 | <0.001 |
Educational level | ||||
College degree or higher | 1* | |||
No formal education/elementary/middle school | 0.2 | 0.06 | 0.1–0.37 | <0.001 |
High school | 0.57 | 0.13 | 0.36–0.89 | 0.014 |
Marital status | 2.53 | 0.99 | 1.18–5.45 | 0.017 |
Occupation | 0.82 | 0.16 | 0.55–1.21 | 0.323 |
| ||||
Variable | OR | SE | 95% CI | P value |
| ||||
Model 2: knowledge of the CVDs' main preventive measures | ||||
Log likelihood = −348.11, χ 2 = 157.48 (8 df), P < 0.0001 | ||||
Physician as source of information | 2.01 | 0.39 | 1.38–2.93 | <0.001 |
Knowledge of main CVDs' risk factors | 6.74 | 1.36 | 4.53–10.02 | <0.001 |
Educational level | ||||
College degree or higher | 1* | |||
No formal education/elementary/middle school | 0.49 | 0.16 | 0.26–0.95 | 0.035 |
High school | 0.68 | 0.17 | 0.41–1.11 | 0.127 |
Occupation | 0.63 | 0.14 | 0.41–0.98 | 0.042 |
Self-perceived health status | 1.10 | 0.06 | 0.99–1.22 | 0.059 |
Marital status | 1.76 | 0.74 | 0.77–4.00 | 0.178 |
Age | 1.01 | 0.01 | 0.98–1.04 | 0.289 |
| ||||
Variable | Coeff. | SE | t | P value |
| ||||
Model 3: worries about developing CVDs | ||||
F(9.733) = 6.72, P < 0.0001, R 2 = 0.07%, adjusted R 2 = 0.06% | ||||
Need of additional information toward CVDs | 0.72 | 0.2 | 3.57 | <0.001 |
Number of children | ||||
One* | ||||
Two | 0.43 | 0.23 | 1.88 | 0.061 |
Three or more | 0.93 | 0.27 | 3.42 | <0.001 |
Self-perceived health status | −0.14 | 0.04 | −2.97 | 0.003 |
Educational level | ||||
College degree or higher* | ||||
No formal education/elementary/middle school | 0.5 | 0.2 | 2.46 | 0.014 |
Having at least one chronic disease (CVDs, diabetes, obesity, hypertension) | 0.31 | 0.17 | 1.83 | 0.067 |
Physician as source of information | 0.28 | 0.16 | 1.67 | 0.096 |
Knowledge of the CVDs' main risk factors (smoking, cholesterol, diabetes, hypertension, fatty diet) | −0.29 | 0.19 | −1.52 | 0.129 |
Age | 0.01 | 0.01 | 1.11 | 0.265 |
| ||||
Variable | OR | SE | 95% CI | P value |
| ||||
Model 4: women's high risk profile | ||||
Log likelihood = −419.71, χ 2 = 35.10 (9 df), P = 0.0001 | ||||
Number of children | ||||
One | 1* | |||
Two | 0.51 | 0.11 | 0.33–0.79 | 0.003 |
Three or more | 0.44 | 0.11 | 0.26–0.74 | 0.002 |
Educational level | ||||
College degree or higher | 1* | |||
High school | 0.66 | 0.15 | 0.42–1.02 | 0.064 |
No formal education/elementary/middle school | 1.33 | 0.34 | 0.81–2.20 | 0.252 |
Knowledge of no smoking as a CVDs' preventive measure | 1.56 | 0.53 | 0.80–3.06 | 0.187 |
Knowledge of smoking as a CVDs' risk factor | 1.57 | 0.61 | 0.73–3.38 | 0.240 |
Self-perceived health status | 0.95 | 0.04 | 0.87–1.04 | 0.308 |
Knowledge of physical activity as a CVDs' preventive measure | 1.22 | 0.25 | 0.82–1.83 | 0.311 |
Marital status | 0.75 | 0.23 | 0.41–1.36 | 0.349 |
*Reference category.