Table 3: Binary logistics regression.
Unadjusted estimates |
Adjusted estimates |
||||||
Variable |
Odds ratio |
(95% CI) |
P-value |
Odds ratio |
(95% CI) |
P-value |
|
Gender: Female |
Ref |
Ref |
|||||
(Male) |
0.736 |
(0.467, 1.158) |
0.185 |
0.370 |
(0.161, 0.83) |
0.02 |
|
Age group: > 50 yrs. |
Ref |
Ref |
|||||
(20-29) |
0.62 |
(0.313, 1.158) |
0.129 |
0.343 |
(0.121, 0.974) |
0.044 |
|
(30- 39) |
0.723 |
(0.387, 1.351) |
0.309 |
0.390 |
(0.143, 1.065) |
0.066 |
|
(40-49) |
1.135 |
(0.586, 2.197) |
0.707 |
0.742 |
(0.265, 2.077) |
0.570 |
|
Education: Tertiary |
Ref |
Ref |
|||||
Primary |
0.701 |
(0.365, 1.347) |
0.287 |
0.450 |
(0.146, 1.384) |
0.164 |
|
Secondary |
0.787 |
(0.493, 1.256) |
0.314 |
0.472 |
(0.201, 1.109) |
0.085 |
|
Occupation: Formal |
Ref |
Ref |
|||||
Self-employed |
0.803 |
(0.478, 1.350) |
0.408 |
0.291 |
(0.077, 1.094) |
0.068 |
|
Unemployed |
0.710 |
(0.422, 1.196) |
0.198 |
0.279 |
(0.105, 0.742) |
0.011 |
|
Income: 25001 ZMK |
Ref |
Ref |
|||||
< 500 ZMK |
0.958 |
(0.573, 1.604) |
0.871 |
4.800 |
(1.198, 19.232) |
0.027 |
|
501-1500 ZMK |
0.799 |
(0.431, 1.479) |
0.475 |
3.594 |
(1.167,11.067) |
0.026 |
|
1501-2500 ZMK |
0.575 |
(0.212, 1.559) |
0.277 |
0.689 |
(0.134, 3.536) |
0.656 |