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Cited by 401

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Invited Commentary: Insulin Resistance Syndrome? Syndrome X? Multiple Metabolic Syndrome? A Syndrome At All? Factor Analysis Reveals Patterns in the Fabric of Correlated Metabolic Risk Factors

Meigs, J. B.·2000·American Journal of Epidemiology

Abstract

Factor analysis has emerged as a useful method for understanding patterns underlying the co-occurrence of metabolic risk factors for both type 2 diabetes and atherosclerosis--often referred to as "insulin resistance syndrome." In factor analysis of data on 322 healthy elderly people from the Cardiovascular Health Study, Sakkinen et al. (Am J Epidemiol 2000;152:897-907) confirmed findings from a dozen prior studies that as many as four distinct physiologic domains comprise the syndrome, with a unifying role for markers of insulin resistance. With the addition of markers of hemostasis and inflammation, they also found that impaired fibrinolysis and endothelial dysfunction are central features of the syndrome, while inflammation is only weakly linked to insulin resistance through associations with obesity.

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Crossref · 10.1093/aje/152.10.908

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Metadata

Authors
Meigs, J. B.
Venue
American Journal of Epidemiology
Published
2000-11-15
Volume
152
Issue
10
Pages
908-911
ISSN
0002-9262 (ISSN-L)
OpenAlex
W2029897333
Cited by
401
References
3
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Invited Commentary: Insulin Resistance Syndrome? Syndrome X? Multiple Metabolic Syndrome? A Syndrome At All? Factor Analysis Reveals Patterns in the Fabric of Correlated Metabolic Risk Factors. https://app.cochat.ai/papers/10.1093/aje/152.10.908
The paper
Meigs, J. B. (2000). Invited Commentary: Insulin Resistance Syndrome? Syndrome X? Multiple Metabolic Syndrome? A Syndrome At All? Factor Analysis Reveals Patterns in the Fabric of Correlated Metabolic Risk Factors. American Journal of Epidemiology. https://doi.org/10.1093/aje/152.10.908

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.