Donate Help Contact The AHA Sign In Home
American Heart Association
Arteriosclerosis, Thrombosis, and Vascular Biology
Search: search_blue_button Advanced Search
Arteriosclerosis, Thrombosis, and Vascular Biology. 1998;18:208-214

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Leyva, F.
Right arrow Articles by Stevenson, J. C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Leyva, F.
Right arrow Articles by Stevenson, J. C.
(Arteriosclerosis, Thrombosis, and Vascular Biology. 1998;18:208-214.)
© 1998 American Heart Association, Inc.


Original Contributions

Factors of the Metabolic Syndrome

Baseline Interrelationships in the First Follow-up Cohort of the HDDRISC Study (HDDRISC-1)

Francisco Leyva; Ian F. Godsland; Melek Worthington; Christopher Walton; ; John C. Stevenson

From the Wynn Department of Metabolic Medicine, Imperial College School of Medicine, London, UK.

Correspondence to Ian F. Godsland, PhD, Wynn Department of Metabolic Medicine, Imperial College School of Medicine, 21 Wellington Rd, London NW8 9SQ. E-mail i.godsland{at}ic.ac.uk

Abstract—Syndromes of risk factor disturbance may contribute to the development of coronary heart disease and non–insulin-dependent diabetes mellitus, but their definition and quantification remain problematic. Using factor analysis, constellations of risk factor variables that could indicate distinct syndromes of metabolic disturbance were explored in the baseline data of the first follow-up cohort of 742 men from the Heart Disease and Diabetes Risk Indicators in a Screened Cohort (HDDRISC) study. The primary analysis considered 16 intercorrelated variables measured in more than 90% of cohort participants. A missing-values estimation routine was used to ensure inclusion of all participants in the analysis. Subanalyses were undertaken, including a repeat of the primary analysis on the 522 individuals who had received measurement of HDL cholesterol, an oblique rather than orthogonal factor rotation procedure performed on primary and HDL subset analyses, a repeat of these two primary and HDL subset analyses using only those participants with complete measurements, and a repeat of these six analyses including only the seven variables conventionally associated with the metabolic syndrome. The principal factor that emerged in all analyses undertaken comprised oral glucose tolerance test insulin and glucose response, serum uric acid, and body mass index. Fasting serum triglyceride concentration was included in this factor in 11 of the 12 analyses undertaken, fasting plasma insulin in 8, fasting plasma glucose in 5, and mean arterial pressure in 3. HDL cholesterol factored in isolation from insulin in all analyses undertaken. These findings provide strong support for a core metabolic cluster, which is unlikely to include blood pressure and does not include HDL. The factor scores relating to this cluster will provide a means of assessing its quantitative importance in prospective analysis of the development of CHD and diabetes in this cohort.


Key Words: factor analysis • metabolic syndrome • cohort study • insulin • high density lipoprotein




This article has been cited by other articles:


Home page
Am. J. Physiol. Renal Physiol.Home page
L. G. Sanchez-Lozada, E. Tapia, P. Bautista-Garcia, V. Soto, C. Avila-Casado, I. P. Vega-Campos, T. Nakagawa, L. Zhao, M. Franco, and R. J. Johnson
Effects of febuxostat on metabolic and renal alterations in rats with fructose-induced metabolic syndrome
Am J Physiol Renal Physiol, April 1, 2008; 294(4): F710 - F718.
[Abstract] [Full Text] [PDF]


Home page
HypertensionHome page
R. O. Halperin, H. D. Sesso, J. Ma, J. E. Buring, M. J. Stampfer, and J. Michael Gaziano
Dyslipidemia and the Risk of Incident Hypertension in Men
Hypertension, January 1, 2006; 47(1): 45 - 50.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
E. Goodman, L. M. Dolan, J. A. Morrison, and S. R. Daniels
Factor Analysis of Clustered Cardiovascular Risks in Adolescence: Obesity Is the Predominant Correlate of Risk Among Youth
Circulation, April 19, 2005; 111(15): 1970 - 1977.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
I. F. Godsland, D. Crook, A. J. Proudler, and J. C. Stevenson
Hemostatic Risk Factors and Insulin Sensitivity, Regional Body Fat Distribution, and the Metabolic Syndrome
J. Clin. Endocrinol. Metab., January 1, 2005; 90(1): 190 - 197.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
U. Salmenniemi, E. Ruotsalainen, J. Pihlajamaki, I. Vauhkonen, S. Kainulainen, K. Punnonen, E. Vanninen, and M. Laakso
Multiple Abnormalities in Glucose and Energy Metabolism and Coordinated Changes in Levels of Adiponectin, Cytokines, and Adhesion Molecules in Subjects With Metabolic Syndrome
Circulation, December 21, 2004; 110(25): 3842 - 3848.
[Abstract] [Full Text] [PDF]


Home page
Am J EpidemiolHome page
D. A. Lawlor, S. Ebrahim, M. May, and G. Davey Smith
(Mis)use of Factor Analysis in the Study of Insulin Resistance Syndrome
Am. J. Epidemiol., June 1, 2004; 159(11): 1013 - 1018.
[Abstract] [Full Text] [PDF]


Home page
Psychosom. Med.Home page
J. M. McCaffery, R. Niaura, J. F. Todaro, G. E. Swan, and D. Carmelli
Depressive Symptoms and Metabolic Risk in Adult Male Twins Enrolled in the National Heart, Lung, and Blood Institute Twin Study
Psychosom Med, May 1, 2003; 65(3): 490 - 497.
[Abstract] [Full Text] [PDF]


Home page
Am J EpidemiolHome page
B.-J. Shen, J. F. Todaro, R. Niaura, J. M. McCaffery, J. Zhang, A. Spiro III, and K. D. Ward
Are Metabolic Risk Factors One Unified Syndrome? Modeling the Structure of the Metabolic Syndrome X
Am. J. Epidemiol., April 15, 2003; 157(8): 701 - 711.
[Abstract] [Full Text] [PDF]


Home page
DiabetesHome page
R. L. Hanson, G. Imperatore, P. H. Bennett, and W. C. Knowler
Components of the "Metabolic Syndrome" and Incidence of Type 2 Diabetes
Diabetes, October 1, 2002; 51(10): 3120 - 3127.
[Abstract] [Full Text] [PDF]


Home page
Int J EpidemiolHome page
V.-P. Valkonen, M. Kolehmainen, H.-M. Lakka, and J. T Salonen
Insulin resistance syndrome revisited: application of self-organizing maps
Int. J. Epidemiol., August 1, 2002; 31(4): 864 - 871.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
I. F. Godsland, J. R. Rosankiewicz, A. J. Proudler, and D. G. Johnston
Plasma Total Homocysteine Concentrations Are Unrelated to Insulin Sensitivity and Components of the Metabolic Syndrome in Healthy Men
J. Clin. Endocrinol. Metab., February 1, 2001; 86(2): 719 - 723.
[Abstract] [Full Text]


Home page
Am J EpidemiolHome page
P. A. Sakkinen, P. Wahl, M. Cushman, M. R. Lewis, and R. P. Tracy
Clustering of Procoagulation, Inflammation, and Fibrinolysis Variables with Metabolic Factors in Insulin Resistance Syndrome
Am. J. Epidemiol., November 15, 2000; 152(10): 897 - 907.
[Abstract] [Full Text] [PDF]


Home page
Am J EpidemiolHome page
J. B. Meigs
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
Am. J. Epidemiol., November 15, 2000; 152(10): 908 - 911.
[Abstract] [Full Text] [PDF]


Home page
Arterioscler. Thromb. Vasc. Bio.Home page
M. Pyorala, H. Miettinen, P. Halonen, M. Laakso, and K. Pyorala
Insulin Resistance Syndrome Predicts the Risk of Coronary Heart Disease and Stroke in Healthy Middle-Aged Men : The 22-Year Follow-Up Results of the Helsinki Policemen Study
Arterioscler Thromb Vasc Biol, February 1, 2000; 20(2): 538 - 544.
[Abstract] [Full Text] [PDF]