Skip to main content

Table 7 Summary of binary logistic regression analysis using travel abroad as the dependent variable

From: Susceptibility to malaria during the prevention of re-establishment phase in Sri Lanka

 

Regression Coefficient(B)

Standard error of regression coefficient

Wald statistic

Sig

Odds Ratio

Exp(B)

95% CI of odds ratio

Lower

Upper

Gender1(male)

1.446

0.128

127.607

 < 0.001

4.25

3.30

5.46

Area of residence2—urban

0.558

0.121

21.245

 < 0.001

1.75

1.38

2.22

Age group3

  

127.280

 < 0.001

   

 < 5 and > 65 years

− 0.665

0.147

20.583

 < 0.001

0.51

0.39

0.69

6–35 years

− 1.458

0.131

122.951

 < 0.001

0.23

0.18

0.30

Wealth Quintile 4

  

21.943

 < 0.001

   

Wealth Quintile 5

0.398

0.130

9.454

0.002

1.49

1.16

1.92

wealth Quintile 3 and 4

− 0.234

0.123

3.579

0.059

0.79

0.62

1.01

Constant

3.986

0.139

824.249

    
  1. 1 Reference group is female
  2. 2 Reference group is rural and estate sector
  3. 3 Reference group is age group 35–65 years
  4. 4 Reference group is 1st and 2nd wealth quintiles
  5. χ82 = 60.985, P < 0.001