Differentiating anxiety and depression: A test of the cognitive content-specificity hypothesis.

Aaron Tim Beck, Gary P. Brown, Robert A. Steer, Judy I. Eidelson·1987·Journal of Abnormal Psychology

Abstract

A travers l'application du «Cognition Checklist» (CCL) dans une population psychiatrique (N=618), les auteurs ont trouve que les pensees automatiques sont specifiques du type de psychopathologie, du point de vue de leur contenu et qu'elles permettent de differencier l'anxiete et la depression. L'hypothese de la «specificite du contenu cognitif» de beck est donc verifiee

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Cited by (78)

  1. Comorbidity of anxiety and unipolar mood disorders
    Mineka, Susan, Watson, David, Clark, Lee Anna · 1998 · Annual Review of Psychology
  2. Two systems for empathy: a double dissociation between emotional and cognitive empathy in inferior frontal gyrus versus ventromedial prefrontal lesions
    Shamay-Tsoory, Simone G., Aharon-Peretz, Judith, Perry, Daniella · 2009 · Brain
  3. Testing a tripartite model: I. Evaluating the convergent and discriminant validity of anxiety and depression symptom scales.
    Watson, David, Weber, Kris, Assenheimer, Jana Smith, Clark, Lee Anna, Strauss, Milton E., McCormick, Richard A. · 1995 · Journal of Abnormal Psychology
  4. Self-focused attention in clinical disorders: Review and a conceptual model
    Ingram, Rick E. · 1990 · Psychological Bulletin
  5. Comorbidity of anxiety and depression in children and adolescents
    Brady, Erika U., Kendall, Philip C. · 1992 · Psychological Bulletin

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Differentiating anxiety and depression: A test of the cognitive content-specificity hypothesis. https://app.cochat.ai/papers/10.1037//0021-843x.96.3.179
The paper
Beck, A. T., Brown, G. P., Steer, R. A., & Eidelson, J. I. (1987). Differentiating anxiety and depression: A test of the cognitive content-specificity hypothesis. Journal of Abnormal Psychology. https://doi.org/10.1037//0021-843x.96.3.179

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