Table 4. Multiple Regression Analysis on VAS Score by Demographic and Socio-Economic Characteristics .
| Variables | Unadjusted | Adjusted | ||
| Co-efficient | 95% CI | Co-efficient | 95% CI | |
| Gender | ||||
| Male (Ref) | 0.00 | - | 0.00 | - |
| Female | -0.01 | (-0.04, 0.02) | -0.01 | (-0.07, 0.04) |
| Age group | ||||
| 18-44 (Ref) | 0.00 | - | 0.00 | - |
| 45-64 | -0.05a | (-0.07, -0.03) | -0.06a | (-0.08, -0.04) |
| >65 | -0.06b | (-0.10, -0.01) | -0.05b | (-0.01, -0.01) |
| Highest education level | ||||
| No education | -0.02 | (-0.08, 0.04) | 0.03 | (-0.03, 0.10) |
| Primary | -0.05 | (-0.10, 0.01) | -0.01 | (-0.07, 0.05) |
| Secondary | -0.01 | (-0.07, 0.05) | 0.01 | (-0.05, 0.07) |
| Higher secondary | -0.02 | (-0.09, 0.05) | -0.01 | (-0.08, 0.06) |
| Higher (Ref) | 1.00 | - | 1.00 | - |
| Marital status | ||||
| Married (Ref) | 0.00 | - | 0.00 | - |
| Unmarried | 0.05a | (0.02, 0.09) | 0.02 | (-0.02, 0.06) |
| Widowed/divorced/separated (Ref) | -0.09b | (-0.15, -0.03) | -0.06 | (-0.13, 0.01) |
| Occupation | ||||
| Worker (Ref) | 0.00 | - | 0.00 | - |
| Self-employed | 0.02 | (-0.01, 0.04) | 0.01 | (-0.02, 0.04) |
| House wife | 0.00 | (-0.03, 0.04) | 0.02 | (-0.04, 0.08) |
| Farmer | -0.02 | (-0.05, 0.02) | 0.01 | (-0.03, 0.04) |
| Services | 0.02 | (-0.02, 0.05) | 0.01 | (-0.02, 0.05) |
| Other | -0.01 | (-0.05, 0.02) | -0.01 | (-0.05, 0.03) |
| Income quintile | ||||
| 1st | -0.09a | (-0.12, -0.06) | -0.09a | (-0.12, -0.05) |
| 2nd | -0.03b | (-0.06, -0.00) | -0.04b | (-0.07, -0.00) |
| 3rd | -0.04b | (-0.07, -0.01) | -0.05a | (-0.08, -0.02) |
| 4th | -0.03 | (-0.06, 0.01) | -0.03 | (-0.06, 0.00) |
| 5th (ref) | 0.00 | - | 0.00 | - |
Abbreviations: VAS, visual analogue scale.
N = 1433; R-squared = 0.06; F-value (23,1409) (prob>F): 3.98 (0.00); Mean VIF = 3.73; BP/ Cook-Weisberg test (P>χ2 ): 6.84 (0.01); Ramsey RESET, F (P>F): 2.97 (0.03)