A meta-analytic examination of assumed properties of child sexual abuse using college samples.
Abstract
Many lay persons and professionals believe that child sexual abuse (CSA) causes intense harm, regardless of gender, pervasively in the general population. The authors examined this belief by reviewing 59 studies based on college samples. Meta-analyses revealed that students with CSA were, on average, slightly less well adjusted than controls. However, this poorer adjustment could not be attributed to CSA because family environment (FE) was consistently confounded with CSA, FE explained considerably more adjustment variance than CSA, and CSA-adjustment relations generally became nonsignificant when studies controlled for FE. Self-reported reactions to and effects from CSA indicated that negative effects were neither pervasive nor typically intense, and that men reacted much less negatively than women. The college data were completely consistent with data from national samples. Basic beliefs about CSA in the general population were not supported.
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Cited by (75)
- Burden and consequences of child maltreatment in high-income countriesGilbert, Ruth, Widom, Cathy Spatz, Browne, Kevin, Fergusson, David, Webb, Elspeth, Janson, Staffan · 2009 · The Lancet
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- The current prevalence of child sexual abuse worldwide: a systematic review and meta-analysisBarth, J., Bermetz, L., Heim, E., Trelle, S., Tonia, T. · 2013 · International Journal of Public Health
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A meta-analytic examination of assumed properties of child sexual abuse using college samples. https://app.cochat.ai/papers/10.1037//0033-2909.124.1.22
- The paper
- Rind, B., Tromovitch, P., & Bauserman, R. L. (1998). A meta-analytic examination of assumed properties of child sexual abuse using college samples. Psychological Bulletin. https://doi.org/10.1037//0033-2909.124.1.22
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.