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Cited by 158

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Borderline personality disorder features predict negative outcomes 2 years later.

Bagge, Courtney, Nickell, Angela, Stepp, Stephanie, Durrett, Christine, Jackson, Kristina, Trull, Timothy J.·2004·Journal of Abnormal Psychology

Abstract

In a sample of 351 young adults, the authors assessed whether borderline personality disorder (BPD) features prospectively predicted negative outcomes (poorer academic achievement and social maladjustment) over the subsequent 2 years, over and above gender and both Axis I and Axis II psychopathology. Borderline traits were significantly related to these outcomes, with impulsivity and affective instability the most highly associated. The present findings suggest that the impulsivity and affective instability associated with BPD leads to impairment in relating well with others, in meeting social role obligations, and in academic or occupational achievement. Therefore, these may be especially important features to target in interventions for BPD.

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Crossref · 10.1037/0021-843x.113.2.279

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Metadata

Authors
Bagge, C., Nickell, A., Stepp, S., Durrett, C., Jackson, K., & Trull, T. J.
Venue
Journal of Abnormal Psychology
Published
2004-05
Volume
113
Issue
2
Pages
279-288
ISSN
  • 0021-843X (ISSN-L)
  • 1939-1846
OpenAlex
W2002218005
Cited by
158
References
6
FWCI
6.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Borderline personality disorder features predict negative outcomes 2 years later. https://app.cochat.ai/papers/10.1037/0021-843x.113.2.279
The paper
Bagge, C., Nickell, A., Stepp, S., Durrett, C., Jackson, K., & Trull, T. J. (2004). Borderline personality disorder features predict negative outcomes 2 years later. Journal of Abnormal Psychology. https://doi.org/10.1037/0021-843x.113.2.279

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.