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Cognitive Styles in Mood Disorders: Discriminative Ability of Unipolar and Bipolar Cognitive Profiles.
Shapero, Benjamin G; Stange, Jonathan P; Goldstein, Kim E; Black, Chelsea L; Molz, Ashleigh R; Hamlat, Elissa J; Black, Shimrit K; Boccia, Angelo S; Abramson, Lyn Y; Alloy, Lauren B.
Afiliação
  • Shapero BG; Temple University.
  • Stange JP; Temple University.
  • Goldstein KE; Temple University.
  • Black CL; Temple University.
  • Molz AR; Temple University.
  • Hamlat EJ; Temple University.
  • Black SK; Temple University.
  • Boccia AS; Temple University.
  • Abramson LY; University of Wisconsin-Madison.
  • Alloy LB; Temple University.
Int J Cogn Ther ; 8(1): 35-60, 2015 Mar.
Article em En | MEDLINE | ID: mdl-25893033
ABSTRACT
Although previous research has identified cognitive styles that distinguish individuals with bipolar disorder (BD), individuals with major depressive disorder (MDD), and individuals without mood disorders from one another, findings have been inconsistent. The current study included 381 participants classified into a BD group, a MDD group, and a no mood disorder group. To differentiate between these groups, this study evaluated cognitive styles with a battery of traditional and more recently-developed measures. Receiver operating characteristics (ROC) analyses were used to determine the discriminate ability of variables with significant between group differences. Results supported that BD and MDD may be characterized by distinct cognitive styles. Given work showing that interventions for MDD may not be effective at treating BD, it is important to directly compare individuals with these disorders. By clarifying the overlapping and divergent cognitive styles characterizing BD and MDD, research can not only improve diagnostic validity, but also provide more efficacious and effective interventions.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article