The self-reference effect as a behavioral indicator of identity disturbances associated with borderline personality features in a non-clinical sample.

Background: Identity disturbances are a common feature of personality pathology and BPD. The Self-Reference Effect paradigm is a method used to measure the impact of self-relevant processing on encoding/memory, whereby self-relevant information is typically advantaged in cognitive processes. We postulated that difficulties with identity might impede the process by which one encodes self-relevant information. Based on this reasoning, we predicted that high levels of identity disturbance could be associated with atypical impact of the SRE.

Methods: Undergraduate participants were randomized into one of three groups where they were exposed to 60 trait adjectives for seven seconds each. Depending on condition, participants either indicated whether a word was/wasn't capitalized (Capitalization condition), whether it was a good synonym for "openness" (Synonyms condition), or whether it described them as a person (Self-reference condition). After a brief delay, all participants were asked to recall as many of the 60 words as possible. Finally, we measured identity disturbance using the Borderline Features-Identity Problems (BOR-I) scale from the Personality Assessment Inventory.

Results: We found significant but modest correlations between Recall and scores on the BOR-I subscale in the Self-Reference condition, but not the two control conditions. Contrary to expectations, the interaction between BOR-I and Condition was not a significant predictor of Recall, suggesting that identity disturbance did not significantly moderate the SRE.

Conclusions: While our primary hypothesis was not supported, there is a need for multimethod approaches to studying personality pathology. Future research should continue to examine the extent to which behavioral paradigms like the SRE might be useful indicators of identity disturbance/personality pathology, with an emphasis on the use of clinical populations.