Cited by 152Body Composition Measurement TechniquesObesity, Physical Activity, DietDiabetes, Cardiovascular Risks, and Lipoproteins

A comparison of the Slaughter skinfold-thickness equations and BMI in predicting body fatness and cardiovascular disease risk factor levels in children

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Freedman, David S, Horlick, Mary, Berenson, Gerald S·2013·The American Journal of Clinical Nutrition

Abstract

Background Although estimation of percentage body fat with the Slaughter skinfold-thickness equations (PBF(Slaughter)) is widely used, the accuracy of this method has not been well studied.Objective The objective was to determine the accuracy of the Slaughter skinfold-thickness equations.Design We compared agreement between PBF(Slaughter) and estimations derived from dual-energy X-ray absorptiometry (PBF(DXA)) in 1169 children in the Pediatric Rosetta Body Composition Project and the relation to cardiovascular disease risk factors, as compared with body mass index (BMI), in 6725 children in the Bogalusa Heart Study.Results PBF(Slaughter) was highly correlated (r = 0.90) with PBF(DXA), but it markedly overestimated levels of PBF(DXA) in children with large skinfold thicknesses. In the 65 boys with a sum of skinfold thicknesses (subscapular- plus triceps-skinfold thicknesses) ≥ 50 mm, PBF(Slaughter) overestimated PBF(DXA) by 12 percentage points. The comparable overestimation in girls with a high skinfold sum was 6 percentage points. We also found that, after adjustment for sex and age, BMI showed slightly stronger associations with lipid, lipoprotein, insulin, and blood pressure values than did PBF(Slaughter).Conclusions These results indicate that PBF(Slaughter), which was developed among a group of much thinner children and adolescents, is fairly accurate among nonobese children, but markedly overestimates the body fatness of children who have thick skinfold thicknesses. Furthermore, PBF(Slaughter) has no advantage over sex- and age-adjusted BMIs at identifying children who are at increased risk of cardiovascular disease based on lipid, lipoprotein, insulin, and blood pressure values.

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Crossref · 10.3945/ajcn.113.065961

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References 52 · Cited by 152

Authors
Freedman, D. S., Horlick, M., & Berenson, G. S.
Affiliations
  • Tulane University (US)
  • National Institutes of Health (US)
Venue
The American Journal of Clinical Nutrition
Publisher
Elsevier BV
Published
2013-12
Volume
98
Issue
6
Pages
1417-1424
ISSN
0002-9165 (ISSN-L)
OpenAlex
W2100118700
Cited by
152
References
52
Citations by year
2026: 10 · 2025: 4 · 2024: 5 · 2023: 10 · 2022: 14 · 2021: 24 · 2020: 21 · 2019: 9 · 2018: 16 · 2017: 7 · 2016: 15 · 2015: 11 · 2014: 5 · 2012: 1
FWCI
7.18
Type
journal article
Language
en
Open access
Locations
  • American Journal of Clinical Nutrition (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (CC999999)
  • National Institute on Aging (AG16592, R01AG016592)
  • National Institute of Diabetes and Digestive and Kidney Diseases (DK-37352, R01DK037352, P30DK026687)
Topics
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords
body mass index, children, adolescents, skinfold thickness, dual-energy X-ray absorptiometry, cardiovascular risk factors, lipid profile, lipoproteins, insulin, blood pressure
MeSH terms
Algorithms, Arm, Cardiovascular Diseases, Child, Cross-Sectional Studies, Female, Humans, Hyperinsulinism, Hyperlipidemias, Hypertension, Louisiana, Male, Predictive Value of Tests, Risk Factors, Scapula, Sex Characteristics, Skinfold Thickness, Absorptiometry, Photon, Body Mass Index, Adiposity, Overweight, Whole Body Imaging

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