Ethnic differences in the ability of triglyceride levels to identify insulin resistance

Sumner, Anne E.; Cowie, Catherine C.

doi:10.1016/j.atherosclerosis.2006.12.018

Cited by 277Diabetes, Cardiovascular Risks, and LipoproteinsLipid metabolism and disordersDiet, Metabolism, and Disease

Ethnic differences in the ability of triglyceride levels to identify insulin resistance

Sumner, Anne E., Cowie, Catherine C.·2008·Atherosclerosis

DOI 10.1016/j.atherosclerosis.2006.12.018

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Abstract

The Metabolic Syndrome is used to predict the onset of coronary artery disease and Type 2 diabetes. As the predictive value of the Metabolic Syndrome has been challenged, alternative syndromes have been developed. All of these syndromes were developed in populations that were predominantly non-Hispanic white (NHW). They include the Enlarged Waist Elevated Triglyceride Syndrome, the Overweight-Lipid Syndrome and the Hypertriglyceridemic Waist Syndrome. The first applies to postmenopausal women, the second to overweight individuals (BMI> or =25 kg/m(2)), and the third to men. Each syndrome uses hypertriglyceridemia as a criterion. However, the definition of hypertriglyceridemia varies by syndrome i.e. TG> or =128 mg/dL for the Enlarged Waist Elevated Triglyceride Syndrome, TG> or =130 mg/dL for the Overweight-Lipid Syndrome, > or =150 mg/dL for the Metabolic Syndrome, and TG> or =176 mg/dL for the Hypertriglyceridemic Waist Syndrome. Insulin resistance and hypertriglyceridemia are highly correlated. But as insulin resistant non-Hispanic blacks (NHB) often have triglyceride (TG) levels below the thresholds set by these syndromes, the ability of either TG or these syndromes to identify high risk NHB is unknown. Using the National Health and Nutrition Examination Survey (NHANES) 1999-2002, our goals were to determine by ethnicity: (1) the prevalence of each of these syndromes; (2) the ability of fasting TG concentrations to identify insulin resistance at cut-off levels established…

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There are ethnic differences in HOMA-IR cut-offs and gender variations.
“Moreover, there are both ethnic differences in cut-offs and gender variations [3,13].”
From Optimal Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) Cut-Offs: A Cross-Sectional Study in the Czech Population (2019) · cites this paper as [13]

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Authors: Sumner, A. E., & Cowie, C. C.
Affiliations: National Institutes of Health (US)
Corresponding author: Sumner, Anne E.
ORCID: Sumner, Anne E.
Cowie, Catherine C.
Venue: Atherosclerosis
Publisher: Elsevier BV
Published: 2008-02
Volume: 196
Issue: 2
Pages: 696-703
ISSN: 0021-9150 (ISSN-L)
DOI: 10.1016/j.atherosclerosis.2006.12.018
OpenAlex: W2079519649
Cited by: 273
References: 38
Citations by year: 2026: 6 · 2025: 14 · 2024: 22 · 2023: 7 · 2022: 16 · 2021: 13 · 2020: 13 · 2019: 16 · 2018: 17 · 2017: 11 · 2016: 20 · 2015: 18 · 2014: 10 · 2013: 18 · 2012: 13
FWCI: 9.03
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Atherosclerosis (publishedVersion)
PubMed (publishedVersion)
Funders: University of Minnesota
National Institutes of Health
National Institute of Diabetes and Digestive and Kidney Diseases (N01-DK-1-2478)
Topics: Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
Keywords: insulin resistance, hypertriglyceridemia, ethnic differences, metabolic syndrome, Mexican Americans, non-Hispanic blacks, non-Hispanic whites, HOMA
MeSH terms: Adult, Cardiovascular Diseases, Diabetes Mellitus, Type 2, Female, Health Surveys, Humans, Insulin Resistance, Male, Middle Aged, Nutrition Surveys, Regression Analysis, Risk, Triglycerides, Hypertriglyceridemia, Cohort Studies, Mexican Americans, Metabolic Syndrome, Black People, White People, Waist-Hip Ratio, Overweight

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Ethnic differences in the ability of triglyceride levels to identify insulin resistance

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