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Enhancing the Identification of Commercial Sexual Exploitation Among a Population of High-Risk Youths Using
Ieke de Vries1, Matthew Kafafian1, Kelly Goggin1
1Violence and Justice Research Laboratory, School of Criminology and Criminal Justice, Northeastern University, Boston, MA, USA.
Child Maltreatment
|December 21, 2019
Summary
Identifying child victims of commercial sexual exploitation (CSEC) is difficult. This study uses advanced methods to pinpoint key risk factors for CSEC among high-risk youth, aiding victim identification and service provision.
Area of Science:
- Childhood adversity research
- Forensic psychology
- Public health
Background:
- Identifying victims of commercial sexual exploitation of children (CSEC) is challenging for practitioners.
- Existing risk assessment tools are often designed for general youth populations, not specifically for those with high-risk factors.
- Limited understanding exists regarding predictors of actual CSEC victimization among youth with histories of childhood adversity.
Purpose of the Study:
- To identify decisive risk factors for CSEC victimization in high-risk youth.
- To address limitations in current CSEC risk assessment tools.
- To lay the groundwork for developing more precise CSEC risk assessment instruments.
Main Methods:
- Applied predictive regularization methods to analyze risk factors for CSEC.
- Assessed proximal risk of CSEC among 317 youths referred to a specialized program.
- Utilized an innovative methodological approach to overcome limitations of traditional methods.
Main Results:
- Identified key risk items predictive of CSEC victimization in a high-risk youth population.
- Demonstrated the utility of advanced statistical techniques in CSEC research.
- Highlighted the unique impact of co-occurring childhood adversities on CSEC risk.
Conclusions:
- Advanced statistical methods can effectively identify critical risk factors for CSEC in vulnerable youth.
- This research provides a foundation for developing targeted CSEC risk assessment tools.
- Further research employing novel techniques is encouraged to improve victim identification and support.
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