Multivariate logistic regression analyses (using generalised estimating equation) of sociodemographic factors with hypertension awareness (n=298)
| Characteristics | Aware | Multivariate model* | |
|---|---|---|---|
| n (%) | OR 95% CI | p Value | |
| Sex | |||
| Female | 65 (49.6) | 1 | |
| Male | 65 (38.9) | 0.57 (0.31 to 1.06) | 0.079 |
| Age (per year increase) | 1.05 (1.02 to 1.07) | <0.001 | |
| Marital status | |||
| Unmarried | 28 (47.4) | ||
| Currently married | 102 (42.6) | 0.76 (0.56 to 1.74) | 0.432 |
| Occupation | |||
| Unemployed | 73 (47.1) | 1 | |
| Employed | 57 (39.8) | 0.99 (0.56 to 1.74) | 0.984 |
| Ethnicity | |||
| Brahmin/Chhetri | 20 (40.0) | 1 | |
| Newars | 101 (48.7) | 1.14 (0.58 to 2.26) | 0.686 |
| Others | 9 (21.9) | 0.41 (0.15 to 1.11) | 0.082 |
| Education (per educational year increase) | 1.04 (0.97 to 1.11) | 0.223 | |
| Income quartiles | |||
| Q1 | 74 (49.0) | 1 | |
| Q2 | 0 (0) | ||
| Q3 | 17 (34.0) | 0.81 (0.32 to 2.05) | 0.666 |
| Q4 | 39 (41.4) | 1.26 (0.51 to 3.14) | 0.607 |
*Adjusted for the rest of the sociodemographic characteristics.