Table 4.
Generalized Estimating Equations Model-based Significance Tests and Effect Size Estimates for the Intervention Effect on Self-Reported Sexual Behavior and psychological variables over the 12-Month Follow-up Period; University students in Eastern Cape Province, South Africa
Outcome | N | Estimatea (95% CI) | Z | P valueb | Cohen’s d c |
---|---|---|---|---|---|
Frequency of unprotected vaginal intercourse in the past 3 months | 172 | 0.28 (0.08, 0.97) | −2.01 | .045 | 0.31 |
Frequency of condom use in the past 3 monthsd | 95 | 2.82 (1.18, 6.74) | 2.34 | .020 | 0.49 |
Frequency of vaginal intercourse in the past 3 months | 171 | 1.22 (0.77, 1.95) | 0.84 | .400 | −0.13 |
Percentage report multiple sexual partners | 171 | 1.04 (0.96, 1.13) | 0.97 | .334 | −0.15 |
Condom-use outcome expectancies | 173 | 0.15 (0.04, 0.26) | 2.57 | .010 | 0.40 |
Self-efficacy to use condoms | 173 | 0.12 (0.01, 0.24) | 2.05 | .040 | 0.32 |
HIV risk-reduction knowledge | 173 | 1.08 (0.64, 1.51) | 4.85 | <.0001 | 0.79 |
Condom-use knowledge | 173 | 0.14 (0.01, 0.27) | 2.04 | .041 | 0.31 |
Estimate is the event rate ratio (intervention or health control) for frequency of unprotected vaginal intercourse, the odds ratio for multinomial outcome frequency of condom use, the rate ratio for multiple partners incidence, and the mean difference for psychological variables.
P value is the two-tailed significance probability.
Cohen’s d is a measure of effect size in standard deviation units.
Frequency of condom use was rated on a scale from “1” (never) to “5” (always).