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Table 3 Binary logistic regression analysis predicting CST

From: Child sex tourism – prevalence of and risk factors for its use in a German community sample

Predictors

B

SE B

e B

95% CI for e B

Lower limit

Upper limit

Own abusive experience

2.33*

1.03

10.29

1.37

77.29

Sexual behaviors involving boys

2.97

1.76

19.62

.63

613.38

Child pornography

−1.33

1.21

.27

.03

2.83

Child prostitution

5.60***

1.38

270.67

18.25

4015.45

Likelihood of future sexual assaults

−.01

.02

1.00

.96

1.03

Thought about seeking professional help

1.41

1.21

4.1

.38

44.27

Previous conviction for violent offense

4.59**

1.47

98.62

5.49

1772.76

Previous conviction for sexual offense

−2.46

1.54

.09

.004

1.74

  1. R2 = .55 (Cox & Snell), .80 (Nagelkerke). Model χ2(8) = 95.40, p < .001. B: regression coefficient; SE B: standard error; e B: exponentiated B; CI: confidence interval; *: p < .05; **: p < .01; *** p < .001