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Table 3 Correlation between model parameters and population attributable fractions

From: An agent-based model of binge drinking, inequitable gender norms and their contribution to HIV transmission, with application to South Africa

Parameter

HIV incidence

STI incidence

Total

Male

Female

Total

Male

Female

Incidence attributable to binge drinking

 OR of condom use, per day of binge drinking, per week

-0.16

-0.12

-0.19

-0.08

-0.09

-0.05

    Increase in casual sex in

     Male binge drinkers

0.23

0.27

0.20

0.23

0.24

0.21

     Female binge drinkers

0.85

0.86

0.83

0.88

0.88

0.89

Incidence due to inequitable gender norms

 Effect of inequitable gender norms on

  Men’s entry into concurrent partnerships

0.85

0.80

0.87

0.82

0.79

0.86

  Men’s number of drinks per drinking day

0.08

0.07

0.10

0.05

0.02

0.09

 RR condom use in men endorsing inequitable gender norms

-0.41

-0.43

-0.40

-0.37

-0.38

-0.34

 RR of entry into casual sex per 0.1 decrease in gender inequitable norm score

0.03

-0.02

0.06

-0.10

-0.13

-0.05

  1. RR Relative risk. Correlation coefficients in bold are statistically significant