RESUMEN
This study examined several forms of repetitive negative thinking in relation to measures of Cluster B disorders to identify unique and co-occurring cognitive mechanisms contributing to these symptom presentations. MTurk participants (N = 725; 53% men; 76% White) completed categorical and dimensional trait-based measures of Cluster B disorders alongside six measures of rumination and worry. Oversampling strategies were used during participant recruitment to obtain a sample with clinically relevant personality features. Path analyses examined each form of repetitive negative thinking in relation to Cluster B measures while controlling for shared variance between each construct. Anger rumination demonstrated notable relations across all four Cluster B personality disorders. Similarly, sadness rumination was positively associated with all four Cluster B personality disorders. Self-critical rumination and depressive rumination were uniquely associated with borderline symptoms. Worry demonstrated negative associations with measures of narcissistic, histrionic, and antisocial/psychopathy symptoms. Findings expand previous research by highlighting probable transdiagnostic and distinguishing cognitive process contributing to the presentation of Cluster B personality pathology. However, partialling the influence of overlapping constructs presents notable challenges in identifying and interpreting unique relations between various forms of repetitive negative thinking and Cluster B symptoms. Future research investigating these relations within outpatient and inpatient samples may provide avenues for the development of effective cognitive-based interventions for treating these symptoms. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
RESUMEN
The Five-Factor Borderline Inventory (FFBI) and FFBI-Short Form (FFBI-SF) are 120-item and 48-item measures that assess the underlying maladaptive personality traits of borderline personality disorder (BPD). The purpose of this study was to develop a super short form (FFBI-SSF) and an FFBI-Screener to facilitate the use of dimensional trait measures for BPD. Using item response theory analyses, the 48-item measure was reduced to 22 items using a large undergraduate sample (N = 1300) and then retested using a Mechanical Turk sample (N = 602), demonstrating strong replicability. IRT was again used to further reduce the measure from 22 items to four items to provide a brief screening tool. Correlations of the FFBI-SSF and Screener with measures of BPD-related variables were compared across five samples (N = 919, 204, 580, 281, and 488). Overall, the FFBI-SSF showed similar relations to the FFBI-SF at the full scale and domain-level scales, while the FFBI-screener demonstrated similar relations at the full scale level. This super short form and screener may best be used in large-scale research studies or as part of a screening tool in clinical settings.
RESUMEN
Objective: The current study evaluated frequency of nonsuicidal self-injury (NSSI) and associated maladaptive traits between three time periods: pre-pandemic, early pandemic, and later pandemic. Participants: Two college student samples (n = 362; n = 337) were collected via two online studies. Method: Participants completed measures assessing maladaptive borderline personality traits, engagement in NSSI over the past month, and reasons for and types of NSSI engaged in across the lifetime. Results: Results demonstrated a stable and potentially a slight increase in general rates of NSSI over the course of the pandemic. Further, specific maladaptive traits that underly borderline personality disorder (i.e., despondence, fragility, self-disturbance, and anxious-uncertainty) were related to engagement in NSSI 1-month post COVID. Conclusion: The study highlights the need for added interventions that might reach at risk populations during these heightened periods of stress.