Table 2.
Variable | Category | Sample size | Seropositive (frequency) | Unadjusted (%) | Estimate | SE | z value | p value |
---|---|---|---|---|---|---|---|---|
Intercept | − 6.12 | 0.76 | − 8.11 | < 0.001 | ||||
Gender | Female | 1393 | 407 | 29.2% | Ref | Ref | Ref | Ref |
Male | 3692 | 994 | 26.9% | 0.05 | 0.09 | 0.58 | 0.56 | |
Age group | 15–19§ | 912 | 265 | 29.1% | Ref | Ref | Ref | Ref |
20–29 | 2465 | 684 | 27.7% | − 0.04 | 0.11 | − 0.32 | 0.75 | |
30–39 | 1068 | 284 | 26.6% | − 0.01 | 0.13 | − 0.06 | 0.95 | |
40–49 | 596 | 154 | 25.8% | 0.16 | 0.15 | 1.04 | 0.3 | |
50+ | 44 | 14 | 31.8% | 0.2 | 0.38 | 0.53 | 0.6 | |
Location | Balakaφ | 1198 | 254 | 21.2% | Ref | Ref | Ref | Ref |
Blantyre | 1351 | 416 | 30.8% | 0.77 | 0.13 | 5.92 | < 0.001* | |
Lilongwe | 1328 | 345 | 26.0% | 0.6 | 0.13 | 4.56 | < 0.001* | |
Mzuzu | 1208 | 386 | 32.0% | 0.86 | 0.13 | 6.41 | < 0.001* |
This is an unweighted multivariable logistic regression model with sex, age group, location, and time as predictors
§Recruitment limited to blood donors ≥15 years of age
*Significant based on p value < 0.05
φBalaka was used as a reference as it is the only Malawi Blood Transfusion Service (MBTS) static site that directly covers the rural area