Usefulness of cardiovascular family history data for population-based preventive medicine and medical research (The Health Family Tree Study and the NHLBI Family Heart Study)
Abstract
Detailed medical family history data have been proposed to be effective in identifying high-risk families for targeted intervention. With use of a validated and standardized quantitative family risk score (FRS), the degree of familial aggregation of coronary heart disease (CHD), stroke, hypertension, and diabetes was obtained from 122,155 Utah families and 6,578 Texas families in the large, population-based Health Family Tree Study, and 1,442 families in the NHLBI Family Heart Study in Massachusetts, Minnesota, North Carolina, and Utah. Utah families with a positive family history of CHD (FRS > or =0.5) represented only 14% of the general population but accounted for 72% of persons with early CHD (men before age 55 years, women before age 65 years) and 48% of CHD at all ages. For strokes, 11% of families with FRS > or =0.5 accounted for 86% of early strokes ( 5,000 families sampled each year in Utah for 14 years demonstrated a gradual decrease in the frequency of a strong positive family history of CHD (-26%/decade) and stroke (-15%/decade) that paralleled a decrease in incidence rates (r = 0.86, p <0.001 for CHD; r = 0.66, p <0.01 for stroke). Because of the collaboration of schools, health departments, and medical schools, the Health Family Tree Study proved to be a highly cost-efficient method for identifying 17,064 CHD-prone families and 13,106 stroke-prone families (at a cost of about $27 per high-risk family) in whom well-established preventive measures can be encourage…
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Family history is a critical risk factor associated with numerous diseases.
“Patients’ family history (FH) is a critical risk factor associated with numerous diseases [1-3] such as diabetes [4], coronary heart disease [5], and multiple types of cancers [6-9].”
From Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models (2020) · cites this paper as [5]
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References 25 · Cited by 284
- Authors
- Williams, R. R., Hunt, S. C., Heiss, G., Province, M. A., Bensen, J. T., Higgins, M., Chamberlain, R. M., Ware, J., & Hopkins, P. N.
- Affiliations
- University of Utah (US)
- University of North Carolina at Chapel Hill (US)
- Washington University in St. Louis (US)
- Atrium Health Wake Forest Baptist (US)
- University of Michigan (US)
- The University of Texas MD Anderson Cancer Center (US)
- Utah Department of Health (US)
- Corresponding author
- Hunt, Steven C
- ORCID
- Venue
- The American Journal of Cardiology
- Publisher
- Elsevier BV
- Published
- 2001-01
- Volume
- 87
- Issue
- 2
- Pages
- 129-135
- ISSN
- 0002-9149 (ISSN-L)
- OpenAlex
- W1999489216
- Cited by
- 284
- References
- 25
- Citations by year
- 2026: 4 · 2025: 1 · 2024: 5 · 2023: 6 · 2022: 8 · 2021: 3 · 2020: 7 · 2019: 7 · 2018: 9 · 2017: 10 · 2016: 9 · 2015: 12 · 2014: 13 · 2013: 14 · 2012: 23
- FWCI
- 9.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The American Journal of Cardiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R01 HL17269, R01HL024855, R01 HL21088, R01 HL24855, R01HL021088)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- family history (medicine), cardiovascular disease, coronary artery disease, stroke, hypertension, diabetes mellitus, familial aggregation, high-risk families, preventive medicine, NHLBI Family Heart Study, incidence trends, cost efficiency
- MeSH terms
- Adult, Aged, Cardiovascular Diseases, Female, Humans, Male, Medical History Taking, Middle Aged, Pedigree, Population Surveillance, Surveys and Questionnaires, Risk Factors, Incidence
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