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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
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BMC Research Notes

ISSN: 1756-0500

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