The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Parental history is an independent risk factor for coronary artery disease: The Framingham Study
Abstract
Family history of CAD, defined as parental death by CAD, was found to be a significant independent predictor of CAD in a logistic regression model controlling for standard risk factors and length of follow-up among the 5209 participants in the Framingham Study. Persons with a positive parental history have a 29% increased risk of CAD, and the strength of the association between parental history and CAD is similar to that found for other standard risk factors such as systolic blood pressure, cholesterol level, and cigarette smoking. No evidence was found that persons with a family history of CAD have a decreased capacity to cope with the deleterious effects of known risk factors; that is, no significant interaction was found between any of the risk factors and parental history of CAD. Among men with low risk for CAD by risk-factor profile (i.e., nonsmoking, thin, nonhypertensive persons), more than two thirds of those who experience CAD have a positive parental history. This study suggests that CAD among persons who are predicted to be at low risk by standard risk factors may have a substantial genetic component and that the risk associated with parental history may not be reduced by modification of these factors. Nevertheless, among persons with a positive family history, those with a favorable risk profile are at substantially less risk for CAD than those with an unfavorable risk profile.
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“parental history of coronary artery disease and parental death by coronary artery disease were observed to be significant independent predictors of offspring coronary artery disease [31].”
From Recent Experimental Studies of Maternal Obesity, Diabetes during Pregnancy and the Developmental Origins of Cardiovascular Disease (2022) · cites this paper as [31]
In the citing paper
“It was reported in the Framingham Study that if at least one parent has CAD, the age-adjusted odds ratio for the risk of developing CAD is 2.6 for men and 2.3 for women.”
From Japan Atherosclerosis Society (JAS) guidelines for prevention of atherosclerotic cardiovascular diseases 2017 (2018) · cites this paper as [168]
In the citing paper
“After adjusting all the variables in the multivariate analysis, the ratios were 2.0 and 1.7 for men and women, respectively168).”
From Japan Atherosclerosis Society (JAS) guidelines for prevention of atherosclerotic cardiovascular diseases 2017 (2018) · cites this paper as [168]
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Metadata
- Authors
- Myers, R. H., Kiely, D. K., Cupples, L. A., & Kannel, W. B.
- Affiliations
- Boston University (US)
- Corresponding author
- Myers, Richard H.
- Venue
- American Heart Journal
- Publisher
- Elsevier BV
- Published
- 1990-10
- Volume
- 120
- Issue
- 4
- Pages
- 963-969
- ISSN
- 0002-8703 (ISSN-L)
- OpenAlex
- W2008869678
- Cited by
- 394
- References
- 22
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 5 · 2023: 51 · 2022: 9 · 2021: 8 · 2020: 12 · 2019: 7 · 2018: 9 · 2017: 11 · 2016: 9 · 2015: 14 · 2014: 7 · 2013: 8 · 2012: 10
- FWCI
- 1.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Heart Journal (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (n01hc038038-022)
- National Heart, Lung, and Blood Institute (N01-HC-38038)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Keywords
- coronary artery disease, family history (medicine), parental history, genetic risk, cardiovascular risk factors, risk factor interactions, low-risk individuals, Framingham Heart Study
- MeSH terms
- Adult, Coronary Disease, Female, Humans, Male, Middle Aged, Parents, Risk Factors, Cohort Studies
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