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. Author manuscript; available in PMC: 2019 Mar 1.
Published in final edited form as: J Adolesc Health. 2018 Mar;62(3 Suppl):S51–S57. doi: 10.1016/j.jadohealth.2017.09.028

Table 2.

Logistic regression results for risk and protective models for precollege SV

Risk and protective factors for sexual violence perpetration Weighted estimates Unweighted estimates


B SE Adjusted odds ratio Odds ratio 95% CI B SE
Risk model (perpetration = 1) Low High

Use of sexual media .09** .04 1.10 1.02 1.17 .10** .03
Alcohol use .08** .03 1.09 1.02 1.16 .08* .03
Drug use .16** .06 1.17 1.04 1.31 .17** .06
Hypermasculinity .65*** .14 1.91 1.47 2.48 .70*** .14
Rape myth acceptance .10 .08 1.11 .95 1.30 .06 .08
Peer support for SV .28*** .07 1.33 1.16 1.52 .34*** .07

Protective model (perpetration = 0) Low High

Knowledge of effective consent for sex .40*** .10 1.49 1.23 1.81 .36*** .11
Negative outcome expectancies for rape .14 .08 1.15 .98 1.35 .31*** .08
Family functioning .33*** .09 1.39 1.17 1.66 .30*** .09
Family connectedness .06 .11 1.06 .86 1.32 .12 .11

All effects adjusted for other model predictors, as well as age, race, and high school GPA.

*

p ≤ .05,

**

p ≤ .01,

***

p ≤ .001.

CI = confidence interval; SE = standard error; SV = sexual violence.