Table 4.
Independent variable | Category | Dependent variable | ||
---|---|---|---|---|
Resistance score N = 185 | Awareness score N = 187 | General score N = 185 | ||
Coef. (95 % CI) | Coef. (95 % CI) | Coef. (95 % CI) | ||
Age group | <30 | Ref. | Ref. | Ref. |
30–50 | 0.19 (0.02; 0.36)* | 0.14 (0.00; 0.28)* | 0.18 (0.07; 0.29)*** | |
>50 | 0.21 (0.03; 0.39)* | 0.05 (−0.11; 0.20) | 0.10 (−0.02; 0.22) | |
Gender | Female | Ref. | Ref. | Ref. |
Male | −0.25 (−0.41; −0.08)** | −0.20 (−0.34; −0.05)** | −0.22 (−0.33; −0.10)*** | |
Health-related training | Yes | Ref. | Ref. | Ref. |
No | −0.17 (−0.30; −0.04)** | −0.14 (−0.24; −0.05)**** | ||
Children in household | None | Ref. | Ref. | Ref. |
One or more | 0.08 (−0.01; 0.17) | |||
Area of residence | Old Tbilisi | Ref. | Ref. | Ref. |
Vake Saburtalo | −0.06 (−0.17; 0.05) | |||
Didube Chugureti | −0.21 (−0.36; −0.06)** | |||
Gldani Nadzaladevi | −0.15 (−0.26; −0.04)** | |||
Isani Samgori | −0.08 (−0.26; 0.11) |
* p < 0.05, ** p < 0.01, *** p < 0.001
**** The parameters of the Poisson regression models can be interpreted as the difference in the logs of expected counts for a one unit increase in the predictor variable, given that the other predictor variables in the model are held constant. A positive coefficient indicates an increase in the expected count and a negative coefficient indicated a decrease