Use of Cholesterol Measurements in Childhood for the Prediction of Adult Hypercholesterolemia: The Muscatine Study
Abstract
This article describes the validity and utility of screening tests for total cholesterol levels in school-age children to predict those who, when adults, will have cholesterol levels that the National Cholesterol Education Program suggests need continuing surveillance and intervention. Two thousand three hundred sixty-seven children aged 8 to 18 years were examined on several occasions and were followed up to ages 20 to 30 years. Of children with cholesterol concentrations exceeding the 75th percentile on two occasions, 75% of girls and 56% of boys would not qualify for intervention as adults by the National Cholesterol Education Program criteria. Of children with cholesterol levels exceeding the 90th percentile on two occasions, 57% of girls and 30% of boys would not qualify for intervention as adults. Because the efficacy, safety, acceptability, and cost of treatment for high cholesterol concentrations in childhood is evolving, the need for universal screening of childhood cholesterol levels must be considered carefully in view of the number of children with high levels of cholesterol who, as adults, do not meet the criteria for intervention suggested by the National Cholesterol Education Program.
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The same risk factors associated with disease severity and progression in adults are present in the pediatric population.
“The same risk factors associated with disease severity and progression in adults are present in the pediatric population”
From Triglycerides and Cardiovascular Disease: A Scientific Statement From the American Heart Association (2011) · cites this paper as [291]
The degree to which these risk factors are present in childhood is predictive of their prevalence in adulthood.
“the degree to which these risk factors are present in childhood is predictive of their prevalence in adulthood.”
From Triglycerides and Cardiovascular Disease: A Scientific Statement From the American Heart Association (2011) · cites this paper as [291]
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- Authors
- Lauer, R. M.
- Corresponding author
- Lauer, Ronald M.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 1990-12-19
- Volume
- 264
- Issue
- 23
- Pages
- 3034
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W4233541521
- Cited by
- 240
- References
- 0
- Citations by year
- 2026: 1 · 2024: 3 · 2023: 1 · 2022: 8 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 5 · 2017: 4 · 2016: 3 · 2015: 9 · 2014: 1 · 2013: 6 · 2012: 9
- FWCI
- 20.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute (HL14320)
- Topics
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Health Sciences › Medicine › Surgery › Cholesterol and Lipid Metabolism
- Keywords
- childhood hypercholesterolemia, elementary school students, universal screening, sex differences
- MeSH terms
- Adolescent, Adult, Child, Child, Preschool, Cholesterol, Female, Humans, Hypercholesterolemia, Cholesterol, LDL, Male, Mass Screening, Population Surveillance, Predictive Value of Tests, Risk Factors, Sensitivity and Specificity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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