Table 2.
Results of multivariate logistic regression analyses for ownership of a blood-pressure measuring device
| Variablesa | Multivariate (p) | Odds ratio | 95% CI |
|---|---|---|---|
| Gender (female) | 0.054 | 1.390 | 0.995–1.943 |
| Age | |||
| 18–39 years | 1.0 (reference) | 1.0 (reference) | |
| 40–49 years | 0.138 | 2.088 | 0.788–5.528 |
| 50–59 years | 0.025 | 2.903 | 1.144–7.369 |
| 60–69 years | 0.031 | 2.805 | 1.100–7.149 |
| 70 years and above | 0.021 | 3.109 | 1.190–8.124 |
| Living in urban areas | <0.001 | 2.609 | 1.729–3.936 |
| Educational status | |||
| Illiterate | 1.0 (reference) | 1.0 (reference) | |
| Literate | 0.841 | 1.071 | 0.548–2.091 |
| Primary school graduate | 0.060 | 1.740 | 0.976–3.101 |
| Middle school graduate | 0.049 | 2.153 | 1.003–4.620 |
| High school graduate | 0.006 | 2.733 | 1.332–5.607 |
| University graduate | <0.001 | 3.991 | 1.862–8.555 |
| Antihypertensive drug usage | 0.012 | 1.922 | 1.153–3.205 |
CI confidence interval.
a The variables included in the multivariate logistic regression analysis were gender, age, educational status, living in urban areas, income level, blood-pressure categories, awareness of hypertension, antihypertensive drug usage, and body mass index. Only variables having significant differences are shown.