Evidence Hub

Risk and Protective Factors for Sexual Exploitation in Male and Female Youth From a Cross-Cultural Perspective: A Systematic Review

Mercera G, Kooijmans R, Leijdesdorff S, Heynen E, van Amelsvoort T

Trauma, violence & abuse, 2024

Abstract

Youth are at elevated risk of becoming victims of sexual exploitation, which has a detrimental impact on their physical and psychological well-being. Understanding factors associated with sexual exploitation is key for prevention efforts and adequate and timely treatment. This systematic review sheds more light on this by providing an overview of both risk and protective factors for sexual exploitation in male and female youth from a cross-cultural perspective. In all, 65 studies were selected meeting the inclusion criteria: qualitative or quantitative peer-reviewed studies in English, Dutch, or German with findings on risk and protective factors associated with sexual exploitation in youth aged up to 24 years. Results show that there are common risk factors in male and female youth worldwide (e.g., adverse childhood experiences, lack of a social network, substance use, and running away). Positive and supportive relationships are an important protective factor in mitigating the risk of sexual exploitation. Geographic differences were found. In non-Western continents, more environmental factors (e.g., economic vulnerabilities, residential instability) were cited. Research in countries outside the United States is limited and protective factors and males are underexamined. To fully understand vulnerabilities in youth, their interactions, and possible gender differences and to address the needs of diverse populations, more insight should be gained into the broader range of risk…

How strong is the evidence?

Evidence Hub reads this as a systematic review, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free