Research Article
Sociodemographic Correlates of Modifiable Risk Factors for Hypertension in a Rural Local Government Area of Oyo State South West Nigeria
Table 4
Logistic regression model predicting likelihood of modifiable risk factors for hypertension.
| Variable | | SE | Wald | df | | OR | 95% CI for OR | Lower | Upper |
| Sex | | 0.45 | 6.32 | 1 | *0.01 | 0.32 | 0.13 | 0.78 | Age | | | | | | | | | 15–24 | | 0.43 | 2.02 | 1 | 0.16 | 0.54 | 0.24 | 1.26 | 25–34 | 0.08 | 0.62 | 0.02 | 1 | 0.10 | 1.08 | 0.32 | 3.68 | 35–44 | 0.35 | 0.50 | 0.50 | 1 | 0.48 | 1.42 | 0.54 | 3.75 | 45–54 | | 0.70 | 0.80 | 1 | 0.37 | 0.54 | 0.14 | 2.09 | 55–64 | 0.29 | 0.63 | 0.21 | 1 | 0.65 | 1.33 | 0.39 | 4.60 | 65–74 | 1.07 | 1.65 | 0.43 | 1 | 0.51 | 2.94 | 0.12 | 73.77 | Educational level | | | | | | | | | None | | 0.42 | 0.00 | 1 | 0.99 | 0.10 | 0.44 | 2.27 | Primary | 0.41 | 0.52 | 0.63 | 1 | 0.43 | 1.51 | 0.55 | 4.14 | Secondary | 0.56 | 1.06 | 0.28 | 1 | 0.60 | 1.76 | 0.22 | 13.95 | Occupation | | | | | | | | | Public servant | | 0.85 | 0.02 | 1 | 10.88 | 0.88 | 0.17 | 4.65 | Trading | 0.12 | 0.77 | 0.03 | 1 | 0.87 | 1.13 | 0.25 | 5.12 | Farming | 1.06 | 0.84 | 1.60 | 1 | 10.21 | 2.88 | 0.56 | 14.89 | Marital status | | | | | | | | | Single | 0.54 | 0.44 | 1.50 | 1 | 10.22 | 1.71 | 0.72 | 4.06 | Married | 1.03 | 0.79 | 1.73 | 1 | 0.19 | 2.81 | 0.60 | 13.10 | Smoking | 0.07 | 0.90 | 0.01 | 1 | 0.94 | 1.07 | 0.18 | 6.19 | Alcohol | | 0.36 | 3.06 | 1 | 0.08 | 0.53 | 0.26 | 1.08 | Stress | | 0.67 | 8.61 | 1 | *0.00 | 7.10 | 1.92 | 26.25 | Sleep | 3.04 | 0.36 | 70.03 | 1 | *0.00 | 20.95 | 10.27 | 42.72 | Job-related physical activity | | | | | | | | | Sedentary | | 0.38 | 1.67 | 1 | 0.20 | 0.61 | 0.29 | 1.29 | Vigorous | | 0.56 | 0.01 | 1 | 0.91 | 0.94 | 0.32 | 2.80 | BMI | | | | | | | | | Normal | | 0.62 | 11.31 | 1 | *0.00 | 0.13 | 0.04 | 0.42 | Abnormal | | 0.63 | 3.90 | 1 | *0.49 | 0.29 | 0.08 | 1.00 | Constant | | 1.32 | 6.62 | 1 | 0.01 | 0.03 | | |
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< 0.05; OR = odds ratio; CI = confidence interval.
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