CoChat
Sign Up
Cited by 268Diabetes, Cardiovascular Risks, and LipoproteinsAdipokines, Inflammation, and Metabolic DiseasesCardiovascular Function and Risk Factors

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Prevalence of insulin resistance and associated cardiovascular disease risk factors among normal weight, overweight, and obese individuals

McLaughlin, Tracey, Allison, Gregory, Abbasi, Fahim, Lamendola, Cindy, Reaven, Gerald·2004·Metabolism
DOI 10.1016/j.metabol.2003.10.032
Open this paper in CoChat — free account

Abstract

Obese individuals tend to be both insulin resistant and at increased risk to develop cardiovascular disease (CVD). Given the increased prevalence of obesity in the US population, we thought it important to define the relationship between degree of obesity and insulin-mediated glucose disposal in the population at large, as well as the relationship between obesity, insulin resistance, and CVD risk in these individuals. To do this we quantified insulin-mediated glucose disposal in 465 healthy volunteers by determining the steady-state plasma glucose (SSPG) concentrations at the end of a 180-minute infusion of somatostatin, insulin, and glucose. Adiposity was estimated by body mass index (BMI) and the relationship between BMI and SSPG defined. In addition, a series of CVD risk factors were measured, including blood pressure, plasma glucose, and insulin concentrations, before and after 75 g of oral glucose, and fasting plasma lipid and lipoprotein concentrations. The results indicated that SSPG concentration and BMI were significantly correlated (r = 0.54, P >.001), and 36% of individuals in the most insulin-resistant tertile were obese (BMI >/= 30.0 kg/m(2)). However, 16% of those in the most insulin-resistant tertile were of normal weight (BMI < 25.0 kg/m(2)). Although CVD risk factors were accentuated in general with progressive increases in either BMI or SSPG concentration, important differences were noted. Thus, the higher the SSPG concentration, the more the increase in plasma glucose, insulin, and triglyceride (TG) concentrations, whereas the greater the BMI, the higher the low-density lipoprotein concentration. Furthermore, while CVD risk factors increased significantly with each tertile of insulin resistance, significant differences in CVD risk were only apparent when the lowest BMI tertile was compared with the other 2, with the values in the middle and upper BMI differing from each other. These results show that while BMI and insulin resistance are related, they are not synonymous, and that they make independent and different contributions to increasing CVD risk.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.metabol.2003.10.032

Cites

32 of 32 references verified0 citation errors · 0 not checkable

Statistics

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

Verification

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?

Citations

Cites

Flagged first, then by citations

Show all 31 references

Cited by

Sorted by citations

Items 201–268 of 268

Related

See all

Metadata

Authors
McLaughlin, T., Allison, G., Abbasi, F., Lamendola, C., & Reaven, G.
Affiliations
Stanford Medicine (US)
ORCID
Venue
Metabolism
Publisher
Elsevier BV
Published
2004-04
Volume
53
Issue
4
Pages
495-499
ISSN
0026-0495 (ISSN-L)
DOI
10.1016/j.metabol.2003.10.032
OpenAlex
W1983287346
Cited by
268
References
31
Citations by year
2026: 4 · 2025: 7 · 2024: 8 · 2023: 6 · 2022: 15 · 2021: 13 · 2020: 10 · 2019: 3 · 2018: 12 · 2017: 7 · 2016: 12 · 2015: 19 · 2014: 12 · 2013: 13 · 2012: 10
FWCI
12.40
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Metabolism (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Center for Research Resources (K23RR016071, RR 00 070, M01RR000070, RR-16071)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Function and Risk Factors
Keywords
insulin resistance, obesity, cardiovascular risk factors, body mass index, steady-state plasma glucose, insulin-stimulated glucose disposal, triglycerides, low-density lipoprotein, blood pressure, plasma lipids, overweight
MeSH terms
Analysis of Variance, Blood Glucose, Blood Pressure, Body Weight, Cardiovascular Diseases, Female, Humans, Insulin Resistance, Cholesterol, HDL, Cholesterol, LDL, Male, Middle Aged, Obesity, Regression Analysis, Risk Factors, Triglycerides, Body Mass Index, Prevalence

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