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Coronary-prone behavior: one pattern or several?

C D Jenkins, S J Zyzanski, R H Rosenman

    Psychosomatic Medicine
    |February 1, 1978
    PubMed
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    This study found distinct psychological patterns in men experiencing different types of coronary heart disease, including acute myocardial infarction (AMI) and silent myocardial infarction (SMI). These findings suggest specific Type A behavior facets may predict distinct clinical outcomes.

    Area of Science:

    • Cardiology
    • Psychology
    • Behavioral Science

    Background:

    • Coronary heart disease (CHD) presents with varied clinical manifestations.
    • The Type A behavior pattern (TABP) is a known risk factor for CHD.
    • Understanding psychological differences associated with specific CHD types is crucial for risk stratification.

    Purpose of the Study:

    • To identify distinct psychological response patterns in a healthy male cohort.
    • To differentiate these patterns among men with acute myocardial infarction (AMI), silent myocardial infarction (SMI), and angina pectoris.
    • To explore the association between specific TABP facets and clinical CHD manifestations.

    Main Methods:

    • Prospective study of 2750 healthy men over 4 years.
    • Utilized a 61-item questionnaire to assess psychological responses.

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  • Employed multi-group optimal scaling and discriminant function analysis for item analysis.

    • Main Results:

    • Significant differences in questionnaire response patterns were observed among men with AMI, SMI, angina, and healthy controls.
    • Three significant psychological dimensions of discrimination were identified.
    • A second study validated the statistical and psychological genuineness of these dimensions.

    Conclusions:

    • Different facets of the Type A behavior pattern are specifically associated with distinct clinical manifestations of coronary heart disease.
    • These identified psychological dimensions may improve the specificity of future coronary disease risk prediction.
    • Further refinement of these dimensions could enhance personalized CHD prevention strategies.