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Cited by 392

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Prediction of Clinical Coronary Heart Disease by a Test for the Coronary-Prone Behavior Pattern

Jenkins, C. David, Rosenman, Ray H., Zyzanski, Stephen J.·1974·New England Journal of Medicine

Abstract

Prospective study of 2750 employed men who completed a computer-scored test questionnaire measuring the coronary-prone Type A behavior pattern showed that high scorers had twice the incidence of new coronary heart disease as low scorers over a four-year period. Subjects with different initial clinical manifestations of coronary disease did not differ from one another in their Type A test scores. The double-blind design of these studies and the orderly relation of Type A scores to coronary-disease risk suggest that the coronary-prone behavior pattern is prospectively linked to the pathogenesis of coronary heart disease. The findings also indicate that the test questionnaire used is a valid means of measuring some of the ways in which behavior contributes to coronary risk. (N Engl J Med 290:1271–1275, 1974)

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Crossref · 10.1056/nejm197406062902301

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Metadata

Authors
Jenkins, C. D., Rosenman, R. H., & Zyzanski, S. J.
Venue
New England Journal of Medicine
Published
1974-06-06
Volume
290
Issue
23
Pages
1271-1275
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2338766414
Cited by
392
References
1
FWCI
7.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Prediction of Clinical Coronary Heart Disease by a Test for the Coronary-Prone Behavior Pattern. https://app.cochat.ai/papers/10.1056/nejm197406062902301
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Jenkins, C. D., Rosenman, R. H., & Zyzanski, S. J. (1974). Prediction of Clinical Coronary Heart Disease by a Test for the Coronary-Prone Behavior Pattern. New England Journal of Medicine. https://doi.org/10.1056/nejm197406062902301

Data sources

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.