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Table 4 Multiple Poisson regression: factors associated with resistance, awareness and general score

From: Antibiotic use and resistance: a cross-sectional study exploring knowledge and attitudes among school and institution personnel in Tbilisi, Republic of Georgia

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)
  1. * p < 0.05, ** p < 0.01, *** p < 0.001
  2. **** 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