Adipocytokines as features of the metabolic syndrome determined using confirmatory factor analysis
| Autor: | Pier Woudstra, Mark M. Smits, Kathryn Aston-Mourney, Jenny Tong, Edward J. Boyko, James B. Meigs, Darcy B. Carr, Fernando Gerchman, Robert H. Knopp, Kristina M. Utzschneider, Mirjam V. Faulenbach, Steven E. Kahn, Alan Chait |
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| Přispěvatelé: | Internal medicine, ICaR - Circulation and metabolism |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Adult
Blood Glucose Male Oncology medicine.medical_specialty Tomography Scanners X-Ray Computed Multivariate analysis Epidemiology Adipokine Article Body Mass Index Insulin resistance Adipokines Risk Factors X ray computed Internal medicine Plasminogen Activator Inhibitor 1 medicine Humans Obesity Risk factor Triglycerides Aged Metabolic Syndrome Tumor Necrosis Factor-alpha business.industry Insulin sensitivity Middle Aged medicine.disease Lipids Confirmatory factor analysis Endocrinology Multivariate Analysis Female Insulin Resistance Metabolic syndrome Factor Analysis Statistical business |
| Zdroj: | Annals of Epidemiology, 23(7), 415-421. Elsevier Inc. Smits, M M, Woudstra, P, Utzschneider, K M, Tong, J, Gerchman, F, Faulenbach, M, Carr, D B, Aston-Mourney, K, Chait, A, Knopp, R H, Meigs, J B, Boyko, E J & Kahn, S E 2013, ' Adipocytokines as features of the metabolic syndrome determined using confirmatory factor analysis ', Annals of Epidemiology, vol. 23, no. 7, pp. 415-421 . https://doi.org/10.1016/j.annepidem.2013.03.001 |
| ISSN: | 1047-2797 |
| DOI: | 10.1016/j.annepidem.2013.03.001 |
| Popis: | Purpose: Confirmatory factor analysis (CFA) was used to test the hypothesis whether adipocytokines are associated with the risk factor cluster that characterizes the metabolic syndrome (MetS). Methods: Data from 134 nondiabetic subjects were analyzed using CFA. Insulin sensitivity (SI) was quantified using intravenous glucose tolerance tests, visceral fat area by computed tomography and fasting high-density lipoprotein, triglycerides, monocyte chemoattractant protein-1 (MCP-1), serum amyloid A (SAA), tumor necrosis factor (TNF)-α, adiponectin, resistin, leptin, interleukin (IL)-6, C-reactive protein (CRP), and plasminogen activator inhibitor (PAI)-1 were measured. Results: The basic model representing the MetS included six indicators comprising obesity, SI, lipids, and hypertension, and demonstrated excellent goodness of fit. Using multivariate analysis, MCP-1, SAA, and TNF-α were not independently associated with any of the MetS variables. Adiponectin, resistin, leptin, CRP, and IL-6 were associated with at least one of the risk factors, but when added to the basic model decreased all goodness-of-fit parameters. PAI-1 was associated with all cardiometabolic factors and improved goodness-of-fit compared with the basic model. Conclusions: Addition of PAI-1 increased the CFA model goodness of fit compared with the basic model, suggesting that this protein may represent an added feature of the MetS. |
| Databáze: | OpenAIRE |
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