Biases in Affective Forecasting and Recall as a Function of Borderline Personality Disorder Features

Introduction: The ability to predict emotional experiences, “affective forecasting,” is an essential factor in individuals' decision-making processes. Research has shown that, generally, individuals are inaccurate in their affective forecasts/recollections, and that certain psychological disorders may be related to individual differences in these inaccuracies, or biases. Understanding the role of affective biases in disorders characterized by emotion dysregulation, like Borderline Personality Disorder (BPD), may provide important information regarding the sources of said dysregulation. The present study aimed to identify specific or unique patterns in affective forecasting/recall biases as a function of BPD features. Method: Using a sample of undergraduates (n = 185), we compared predicted and recalled affective states with actual affect following a sadness-evoking film clip. We predicted that higher levels of BPD features would be associated with greater affective forecasting and recall biases. Results: Results indicated that BPD features predicted a specific pattern of forecasting and recall biases regarding the clip. Counter to our hypotheses, as BPD features increased, forecasts/recollections of their affective states following the sadness-evoking film clip were more accurate (less biased). Discussion: Results indicate that BPD features may be related to a specific pattern of bias with negative affective states and warrant further study. Furthermore, this study provides evidence that disorder-specific patterns of forecasting/recall bias can be studied with a laboratory-based paradigm.