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Factors predictive of panic disorder in cardiology patients with chest pain and no evidence of coronary artery disease: A cross-validation

  • Matt G. Kushner
  • , Bernard D. Beitman
  • , Niels C. Beck

Research output: Contribution to journal › Article › peer-review

Abstract

Recent data indicate that a substantial number of cardiology patients with chest pain and no clinical evidence of coronary artery disease suffer from panic disorder. Discriminant function analysis reveals that a self-report anxiety measure alone, or in conjunction with minimal demographic information, can predict whether such patients have panic disorder. Predictive accuracy ranges from 69 to 76% correct classification, significantly improving upom chance predictions alone. A 'split-half' design was used in order to cross-validate predictive equations, and the total sample was also analyzed so as to provide the most stable equation. Clinical and future research implications of these findings are discussed.

Original languageEnglish (US)
Pages (from-to)207-215
Number of pages9
JournalJournal of Psychosomatic Research
Volume33
Issue number2
DOIs
StatePublished - 1989
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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