Borderline personality disorder affective instability: What you know impacts how you feel.

The current study examined the role of conceptual knowledge and language in affective instability (AI) associated with borderline personality disorder (BPD). Forty-six females meeting criteria for BPD and 51 nonclinical female control participants without BPD completed a measure of general vocabulary and a semantic similarities task that provided estimates of the degree to which participants weighted information about valence and arousal in their understanding of emotion language. Feelings of valence and arousal were assessed using the Self-Assessment Manikin in response to 62 emotionally evocative images, which was used to derive estimates of AI. BPD status was associated with valence and arousal AI at a bivariate level, but not after controlling for language variables (general vocabulary and semantic valence and arousal foci). Participants with stronger as opposed to weaker vocabularies exhibited less AI, and participants who emphasized arousal more in their conceptual representations of emotions exhibited less AI than those who emphasized it to a lesser degree. With the inclusion of language variables in a regression equation with BPD status predicting AI, semantic arousal focus, but not general vocabulary, was a significant predictor of AI. Consistent with psychological constructionist models of emotion that specify an active role of language throughout the emotion generation process, these findings suggest that language capacity (general vocabulary and the degree to which arousal influences understanding of emotion words) is an important determinant of the AI associated with BPD. (PsycINFO Database Record (c) 2018 APA, all rights reserved).