Skip to main content

Table 4 Hierarchical logistic regression analysis - predictors of intention to get vaccinated against COVID-19 (n = 398)

From: Predicting intention to receive COVID-19 vaccine among the general population using the health belief model and the theory of planned behavior model

Predictor variables

Model 1: sociodemographic, health-related, and HBM variables

Model 2: sociodemographic, health-related, and TPB variables

Model 3: sociodemographic, health-related, HBM and TPB variables

R2

OR (95% CI)

p Value

R2

OR (95% CI)

p Value

R2

OR (95% CI)

p Value

Block 1: Sociodemographic

0.12

  

0.12

  

0.12

  

Gender

 Female

 

Reference

 

Reference

Reference

 

 Male

 

4.35 (1.58 - 11.93)

0.00

 

1.94 (0.85 - 4.45)

0.12

 

3.23 (1.05 - 9.97)

0.04

Education

 Non-academic

 

Reference

 

Reference

 

Reference

 

 Academic

 

3.54 (1.44 - 8.67)

0.01

 

3.35 (1.56 - 7.21)

0.00

 

3.67 (1.38 - 9.78)

0.01

Block 2: health-related

0.29

  

0.29

  

0.29

  

Influenza vaccination last year

 Not-vaccinated for flu last year

 

Reference

 

Reference

 

Reference

 

 Vaccinated for flu last year

 

3.69 (1.35 - 10.08)

0.01

 

8.21 (3.15 - 21.43)

0.00

 

3.90 (1.26 - 12.07)

0.02

Block 3 model 1: HBM

0.74

     

0.74

  

 Cues to action

 

1.99 (1.38 - 2.87)

0.00

    

1.97 (1.35 - 2.86)

0.00

 Benefits

 

4.49 (2.79 - 7.22)

0.00

    

3.68 (2.21 - 6.13)

0.00

 Perceived Severity

 

2.36 (1.58 - 3.51)

0.00

    

2.44 (1.61 - 3.72)

0.00

Block 3 model 2: TPB

   

0.64

     

 Self-efficacy

    

2.05 (1.54 - 2.72)

0.00

 

1.82 (1.22 - 2.70)

0.00

 Subjective Norms

    

3.04 (2.15 - 4.30)

0.00

 

1.75 (1.06 - 2.87)

0.03

Block 4 model 3: HBM &TPB

      

0.78

  
  1. Model 1: R2 = 0.464 (Cox and Snell); 0.738 (Nagelkerke). Model 2: R2 = 0.4 (Cox and Snell); 0.637 (Nagelkerke), Model 3: R2 = 0.49 (Cox and Snell); 0.781 (Nagelkerke)