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Predicting Teen Dating Violence Perpetration
Joseph R Cohen1, Ryan C Shorey2, Suvarna V Menon3
1Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, Illinois; cohenj@illinois.edu.
Pediatrics
|March 14, 2018
Summary
This study developed a screening tool to predict teen dating violence (TDV) perpetration. Factors like family violence and conflict deficits help identify at-risk adolescents for physical and sexual TDV.
Area of Science:
- Adolescent health
- Public health
- Psychosocial research
Background:
- Teen dating violence (TDV) is a significant public health concern.
- Understanding risk factors for TDV perpetration is crucial for prevention.
- Existing research lacks robust screening tools for TDV perpetration risk.
Purpose of the Study:
- To identify unique risk factors for physical and sexual teen dating violence (TDV) perpetration.
- To develop a screening algorithm for quantifying TDV perpetration risk.
- To provide an empirically-based tool for early intervention.
Main Methods:
- Longitudinal study of 1031 diverse public high school students over 6 years.
- Annual self-report measures of TDV and associated risk factors.
- Application of reclassification analyses to develop a predictive algorithm.
Main Results:
- Family violence and conflict resolution deficits improved prediction of physical TDV perpetration.
- Violent dating history and TDV acceptance improved prediction of sexual TDV perpetration.
- The developed algorithm adequately discriminated between future perpetrators and non-offenders (AUC > 0.70).
Conclusions:
- The study yielded a theoretically informed, empirically based algorithm for estimating TDV perpetration risk.
- The algorithm can identify adolescents at over twice the risk of perpetrating dating violence.
- Findings support the development of targeted preventive initiatives for TDV.
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