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