CoChat
Sign Up
Cited by 105Diabetes, Cardiovascular Risks, and LipoproteinsAdipokines, Inflammation, and Metabolic DiseasesObesity, Physical Activity, Diet

Insulin Resistance

Lee, SoJung, Gungor, Neslihan, Bacha, Fida, Arslanian, Silva·2007·Diabetes Care
DOI 10.2337/dc07-0203
Open this paper in CoChat — free account

Abstract

OBJECTIVE—We examined the relationship of in vivo insulin sensitivity to the components of the metabolic syndrome and biomarkers of endothelial dysfunction in youth. RESEARCH DESIGN AND METHODS—Subjects included 216 youths (8–19 years of age) who participated in a 3-h hyperinsulinemic-euglycemic clamp. RESULTS—Independent of race, the frequencies of central obesity, high triglycerides, low HDL, high blood pressure, impaired fasting glucose, and impaired glucose tolerance were significantly higher (P < 0.05) in the lowest versus highest quartile of insulin sensitivity. BMI, abdominal adiposity, systolic blood pressure, and triglycerides increased and adiponectin and HDL decreased significantly (P for trend for all <0.05), with decreasing insulin sensitivity in both races. After controlling for BMI, insulin resistance remained associated (P < 0.05) with visceral adipose tissue in both races (P for trend = 0.01 in blacks and 0.08 in whites). In whites but not blacks, lower insulin sensitivity was associated (P < 0.05) with higher intercellular adhesion molecule-1 (ICAM-1) and E-selectin levels; however, these relationships did not remain significant (P > 0.05) once visceral adipose tissue was controlled for. CONCLUSIONS—The prevalence of the individual components of metabolic syndrome increases with decreasing insulin sensitivity in black and white youth. In whites but not blacks, insulin resistance is associated with increased circulating endothelial biomarkers. It remains to be determined if lower abdominal adiposity and triglycerides in blacks underlies the racial differences in risk translation.

Integrity signals

Registry

Crossref · 10.2337/dc07-0203

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Insulin resistance and hyperinsulinemia are intrinsic to polycystic ovary syndrome in adults and adolescents, whether lean or obese.

    “Insulin resistance and hyperinsulinemia are intrinsic to PCOS in adults and adolescents, lean or obese.”

    From The Diagnosis of Polycystic Ovary Syndrome during Adolescence (2015) · cites this paper as [112]

  • With one published exception, current definitions of polycystic ovary syndrome in adolescent or adult women do not include insulin resistance or hyperinsulinemia as a diagnostic criterion.

    “With the exception of one published recommendation, none of the current definitions of PCOS in adolescent or adult women include insulin resistance/hyperinsulinemia as a diagnostic criterion [1, 10-12, 18, 19, 112]”

    From The Diagnosis of Polycystic Ovary Syndrome during Adolescence (2015) · cites this paper as [112]

  • Hyperinsulinemia is believed to worsen hyperandrogenism and the reproductive and metabolic manifestations of polycystic ovary syndrome in adolescents.

    “Hyperinsulinemia is believed to exacerbate the hyperandrogenism and the reproductive and metabolic manifestations of PCOS in adolescents.”

    From The Diagnosis of Polycystic Ovary Syndrome during Adolescence (2015) · cites this paper as [112]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Lee, S., Gungor, N., Bacha, F., & Arslanian, S.
Affiliations
University of Pittsburgh (US)
ORCID
Venue
Diabetes Care
Publisher
American Diabetes Association
Published
2007-08-01
Volume
30
Issue
8
Pages
2091-2097
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
DOI
10.2337/dc07-0203
OpenAlex
W1998373705
Cited by
105
References
40
Citations by year
2026: 1 · 2025: 3 · 2024: 2 · 2022: 1 · 2021: 3 · 2020: 4 · 2019: 9 · 2018: 1 · 2017: 2 · 2016: 2 · 2015: 5 · 2014: 6 · 2013: 5 · 2012: 7
FWCI
10.34
Type
journal article
Language
en
Open access
closed
Locations
  • Diabetes Care (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Eli Lilly and Company
  • National Institutes of Health (UL1TR000005)
  • National Center for Research Resources (M01RR000084)
  • National Center for Advancing Translational Sciences
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD027503, K24HD001357)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Keywords
insulin resistance, insulin sensitivity, metabolic syndrome, endothelial dysfunction, endothelial markers, ICAM-1, E-selectin, visceral adipose tissue, abdominal obesity, racial differences, adolescents, hyperinsulinemic-euglycemic clamp, adiponectin, HDL cholesterol, triglycerides, blood pressure
MeSH terms
Adolescent, Black or African American, Blood Pressure, Cardiovascular Diseases, Child, Endothelium, Vascular, Female, Humans, Insulin Resistance, Male, Obesity, Pennsylvania, ROC Curve, Glucose Clamp Technique, Body Mass Index, Prevalence, Metabolic Syndrome, Black People, White People, Body Size

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 ›

Are you an author, or do you see a problem with this page? Request a review