Table 8.
Multivariate linear regression analysis using QOL assessed using the DLQI as a continuous outcome variable (N=251)
| Variables | DLQI, mean±SD | β (95% CI) | p-Valuea |
|---|---|---|---|
| Sex | |||
| Male | 12.4 ± 5.3 | −1.0 (−2.34 to 0.36) | 0.15 |
| Female (reference) | 11.2 ± 4.8 | 1.0 | |
| Education | |||
| Illiterate | 11.3 ± 4.9 | 0.75 (−0.64 to 2.14) | 0.29 |
| Literate (reference) | 12.5 ± 5.4 | 1.0 | |
| Are you currently receiving treatment for, or self-treating your leg(s)? | |||
| No (reference) | 12.0 ± 5.1 | 1.0 | |
| Yes | 9.2 ± 4.2 | −3.05 (−5.25 to −0.85) | 0.007 |
| Hazardous drinking habit (FAST) | |||
| No (reference) | 11.3 ± 5.2 | 1.0 | |
| Yes | 12.5 ± 4.8 | 1.31 (0.02 to 2.59) | 0.046 |
| Social support (based on Oslo-3) | |||
| Poor (reference) | 12.4 ± 4.7 | 1.0 | |
| Moderate | 10.5 ± 5.2 | −2.27 (−3.66 to −0.89) | 0.001 |
| Strong | 10.7 ± 7.2 | −2.87 (−5.35 to −0.38) | 0.024 |
| Disability assessment based on WHODAS (continuous) | 11.8 ± 5.1 | −0.08 (−0.15 to −0.01) | 0.035 |
a
Linear regression was used to examine the association between explanatory variables and quality of life measured by DLQI. Explanatory variables with an association of p<0.2 in the bivariate analysis were included in the multivariate linear regression model. In the multivariate linear regression model, those explanatory variables with association at p<0.05 were considered statistically significant.