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.

VariableSEWalddfOR95% CI for OR
LowerUpper

Sex0.456.321*0.010.320.130.78
Age
 15–240.432.0210.160.540.241.26
 25–340.080.620.0210.101.080.323.68
 35–440.350.500.5010.481.420.543.75
 45–540.700.8010.370.540.142.09
 55–640.290.630.2110.651.330.394.60
 65–741.071.650.4310.512.940.1273.77
Educational level
 None0.420.0010.990.100.442.27
 Primary0.410.520.6310.431.510.554.14
 Secondary0.561.060.2810.601.760.2213.95
Occupation
 Public servant 0.850.02110.880.880.174.65
 Trading0.120.770.0310.871.130.255.12
 Farming1.060.841.60110.212.880.5614.89
Marital status
 Single0.540.441.50110.221.710.724.06
 Married1.030.791.7310.192.810.6013.10
Smoking0.070.900.0110.941.070.186.19
Alcohol0.363.0610.080.530.261.08
Stress0.678.611*0.007.101.9226.25
Sleep3.040.3670.031*0.0020.9510.2742.72
Job-related physical activity
 Sedentary0.381.6710.200.610.291.29
 Vigorous0.560.0110.910.940.322.80
BMI
 Normal0.6211.311*0.000.130.040.42
 Abnormal0.633.901*0.490.290.081.00
 Constant1.326.6210.010.03

< 0.05; OR = odds ratio; CI = confidence interval.