The prevalence of Dissociative Disorders and dissociative experiences in college populations: a meta-analysis of 98 studies

ABSTRACT

This meta-analysis of 31,905 college students includes 12 studies diagnosing Dissociative Disorders (DD) and 92 studies measuring dissociation with the Dissociative Experiences Scale (DES). Prevalence rates were used to separately test the plausibility of the Trauma Model (TM) and the Fantasy Model (FM) of dissociation. Results show 11.4% of students sampled meet criteria for DD, which is consistent with the prevalence of experiencing multiple (types of) trauma during childhood (12%), but is not consistent with the very low prevalence expected from the role of fantasy-proneness proposed in the FM. DES scores varied significantly across the 16 countries and were not higher in North America, but in countries that were comparatively unsafe. The least well-known DD was the most common, which is inconsistent with the FM which holds that the diagnosed person is enacting a familiar social role. There was no evidence that DES scores had decreased over recent decades, which does not support FM assertions that DD were a fad of the 1990s. Three of the five hypotheses tested provided clear support for the TM and a fourth hypothesis provided partial support for the TM. None of the five hypotheses tested supported the FM. The finding that DD were slightly more common in college populations than the general population did not support predictions of either model. The theoretical perspective of the authors moderated DES scores, although this is unlikely due to experimenter bias as studies led by FM theorists had significantly higher DES scores than those led by TM theorists.

KEYWORDS:

• Dissociation
• trauma
• abuse
• fantasy

Acknowledgments

We thank N. Schutte for assistance with statistical analysis

Notes

¹ Mixed models are possible. So far such models have not been developed to offer predictions which would differentiate them from pure TM or FM accounts.

² Versions of the FM which remove this requirement effectively render this model untestable against the TM.

Additional information

Funding

This research was supported by Department of Education and Training (Australia).