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Problematic Sexual Behavior Among Children: A Meta-Analysis of Demographic and Clinical Correlates
Brian Allen1,2,3, Rachel Wamser4, Lauren Ferrer-Pistone5
1Department of Pediatrics, Penn State College of Medicine, Hershey, PA, USA. ballen1@pennstatehealth.psu.edu.
Problematic sexual behavior (PSB) in children is linked to demographics, maltreatment, and clinical issues. Externalizing symptoms showed the strongest association with PSB, highlighting areas for further research and improved assessment tools.
Area of Science:
- Child Psychology
- Developmental Psychology
- Clinical Psychology
Background:
- Problematic sexual behavior (PSB) in children (≤12 years) involves developmentally inappropriate or harmful sexual behaviors.
- Existing research inconsistently links PSB to maltreatment and clinical difficulties.
- Understanding correlates of PSB is crucial for targeted interventions and support.
Purpose of the Study:
- To conduct a meta-analysis summarizing research on correlates of PSB in children.
- To examine demographic factors (gender, age), maltreatment history (childhood sexual abuse [CSA], childhood physical abuse [CPA]), and clinical symptoms (externalizing, internalizing problems) as correlates of PSB.
Main Methods:
- Meta-analysis of 47 independent samples, including data from 15,562 children.
- Analysis of associations between PSB and child demographics, maltreatment history, and comorbid clinical symptoms.
Main Results:
- Younger males were slightly more prone to PSB.
- Childhood sexual abuse (CSA) showed a significant association with PSB (g = .71).
- Childhood physical abuse (CPA), externalizing symptoms (g = .95), and internalizing symptoms (g = .63) were also linked to PSB, with externalizing symptoms demonstrating the strongest correlation.
Conclusions:
- Demographic factors, maltreatment history, and clinical symptoms are associated with PSB in children.
- Externalizing symptoms present the most robust correlate of PSB.
- Limitations include inconsistent assessment of PSB and CSA, necessitating the development of more robust measurement tools and comprehensive correlational studies.
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