Examining factors predicting sexual exploitation among victims of human trafficking

The primary aim of this study is to investigate the factors predicting sexual exploitation among victims of human trafficking, specifically examining how traffickers' means of control, types of sexual services, nature of recruiter relationships and female age groups play a role in this phenomenon. The data analysed spanned from 2002 to 2019 and were sourced from anonymised public data provided by the Counter-Trafficking Data Collaborative (CTDC), a global hub collecting information from counter-trafficking organisations worldwide. Utilising a binary logistic regression approach, the study identified that traffickers employ various means of control, such as debt bondage, taking earnings, threats, sexual abuse, false promises, use of psychoactive substances, exploitation of children, threat of law enforcement and withholding necessities, aligning with Biderman's Theory of Coercion. Additionally, victims experience prostitution, pornography and private sexual services, often recruited by intimate partners and friends. Furthermore, the study revealed that young women aged 30 years and above were less likely to experience sexual exploitation compared to younger girls.