Use of confirmatory factor analysis for the identification of new components of the metabolic syndrome: The role of plasminogen activator inhibitor-1 and Haemoglobin A1c

2009 ◽  
Vol 19 (4) ◽  
pp. 271-276 ◽  
Author(s):  
M. Boronat ◽  
P. Saavedra ◽  
V.F. Varillas ◽  
F.J. Nóvoa
Keyword(s):  
Metabolic Syndrome ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Plasminogen Activator Inhibitor ◽  
Haemoglobin A1c ◽  
Plasminogen Activator Inhibitor 1 ◽  
The Metabolic Syndrome ◽  
Confirmatory Factor ◽  
Activator Inhibitor

scholarly journals Hemostatic Risk Factors and Insulin Sensitivity, Regional Body Fat Distribution, and the Metabolic Syndrome

2005 ◽  
Vol 90 (1) ◽  
pp. 190-197 ◽  
Author(s):  
I. F. Godsland ◽  
D. Crook ◽  
A. J. Proudler ◽  
J. C. Stevenson
Keyword(s):  
Metabolic Syndrome ◽  
Factor Analysis ◽  
Insulin Sensitivity ◽  
Plasminogen Activator ◽  
Body Fat ◽  
Plasminogen Activator Inhibitor ◽  
Plasminogen Activator Inhibitor 1 ◽  
The Metabolic Syndrome ◽  
Regional Adiposity ◽  
Activator Inhibitor

Abstract Disturbances in the thrombotic and fibrinolytic systems are a feature of insulin resistance, obesity, and the metabolic syndrome. However, there are few studies in which these relationships have been explored in mainly asymptomatic individuals using sophisticated measures of insulin sensitivity and regional adiposity. Variables of the hemostatic system were measured in 106 men (aged 32–68 yr; body mass index, 20–34 kg/m2). Insulin sensitivity was measured by minimal model analysis and regional adiposity by dual energy x-ray absorptiometry. Clustering of intercorrelated variables was assessed by the statistical technique of factor analysis. Plasma levels of procoagulant factors VII and X, anticoagulant proteins C and S, and plasminogen activator inhibitor-1 correlated positively with total and percent central body fat (r = 0.25–0.38; P < 0.05) and negatively with insulin sensitivity (except protein S; r = −0.24 to −0.35; P < 0.05). On factor analysis, procoagulant factors VII and X, proteins C and S, and plasminogen activator inhibitor-1 were components of the cluster of variables that explained the greatest proportion of the variance in the data (39.2%). Other variables included in this cluster were those typical of the metabolic syndrome and also serum γ-glutamyl transferase activity. These results suggest that factors VII and X and proteins C and S are features of the intercorrelated disturbances of the metabolic syndrome. Associations with adiposity and liver enzyme activity suggest the involvement of hepatic fat deposition.

scholarly journals The Role of Plasminogen Activator Inhibitor-1 in the Metabolic Syndrome and Its Regulation

2014 ◽  
Vol 3 (6) ◽  
pp. 36 ◽  
Author(s):  
Martha Phelan ◽  
David M. Kerins
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Adipose Tissue ◽  
Plasminogen Activator ◽  
Plasminogen Activator Inhibitor ◽  
Plasminogen Activator Inhibitor 1 ◽  
The Metabolic Syndrome ◽  
Activator Inhibitor ◽  
Pai 1

<p>Obesity is a major risk factor for cardiovascular disease (CVD). Lipid abnormalities, hypertension, impaired glucose tolerance or diabetes, are cardiovascular risk factors that are frequently present in patients with obesity. Haemostatic and fibrinolytic disturbances are also considered to be important risk factors for CVD hence, a potential link between CVD, obesity and the metabolic syndrome arises. Regulation of the fibrinolytic system can occur at the level of plasminogen activators and plasminogen activator inhibitor-1 (PAI-1). PAI-1, a glycoprotein, is one of the most important inhibitors of fibrinolysis. Regulation of this serine protease inhibitor may have a beneficial effect on other conditions associated with the metabolic syndrome. Human adipose tissue is a source of PAI-1. PAI-1 production may in turn be controlled by a number of hormones and cytokines which are secreted by adipose tissue in addition to dietary factors. In this review we summarise the current knowledge regarding the role of altered fibrinolytic function in obesity, CVD and hence the metabolic syndrome. Regulatory factors including different dietary components, weight loss and dietary intervention will also be discussed.</p>

scholarly journals A Single Factor Underlies the Metabolic Syndrome: A Confirmatory Factor Analysis: Response to McCaffery et al.

Diabetes Care ◽  
2006 ◽  
Vol 29 (7) ◽  
pp. 1720-1720 ◽  
Author(s):  
M. Pladevall ◽  
B. Singal ◽  
L. K. Williams ◽  
C. Brotons ◽  
H. Guyer ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Single Factor ◽  
The Metabolic Syndrome ◽  
Confirmatory Factor

scholarly journals A Single Factor Underlies the Metabolic Syndrome: A confirmatory factor analysis

Diabetes Care ◽  
2005 ◽  
Vol 29 (1) ◽  
pp. 113-122 ◽  
Author(s):  
M. Pladevall ◽  
B. Singal ◽  
L. K. Williams ◽  
C. Brotons ◽  
H. Guyer ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Single Factor ◽  
The Metabolic Syndrome ◽  
Confirmatory Factor

scholarly journals Validity of a Single-Factor Model Underlying the Metabolic Syndrome in Children: A confirmatory factor analysis

Diabetes Care ◽  
2010 ◽  
Vol 33 (6) ◽  
pp. 1370-1372 ◽  
Author(s):  
V. Martinez-Vizcaino ◽  
M. S. Martinez ◽  
F. S. Aguilar ◽  
S. S. Martinez ◽  
R. F. Gutierrez ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Single Factor ◽  
The Metabolic Syndrome ◽  
Confirmatory Factor ◽  
Single Factor Model

scholarly journals Adipocytokines as features of the metabolic syndrome determined using confirmatory factor analysis

2013 ◽  
Vol 23 (7) ◽  
pp. 415-421 ◽  
Author(s):  
Mark M. Smits ◽  
Pier Woudstra ◽  
Kristina M. Utzschneider ◽  
Jenny Tong ◽  
Fernando Gerchman ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
The Metabolic Syndrome ◽  
Confirmatory Factor
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