Literature DB >> 12697574

Are metabolic risk factors one unified syndrome? Modeling the structure of the metabolic syndrome X.

Biing-Jiun Shen1, John F Todaro, Raymond Niaura, Jeanne M McCaffery, Jianping Zhang, Avron Spiro, Kenneth D Ward.   

Abstract

The metabolic syndrome, manifested by insulin resistance, obesity, dyslipidemia, and hypertension, is conceived to increase the risk for coronary heart disease and type II diabetes. Several studies have used factor analysis to explore its underlying structure among related risk variables but reported different results. Taking a hypothesis-testing approach, this study used confirmatory factor analysis to specify and test the factor structure of the metabolic syndrome. A hierarchical four-factor model, with an overarching metabolic syndrome factor uniting the insulin resistance, obesity, lipid, and blood pressure factors, was proposed and tested with 847 men who participated in the Normative Aging Study between 1987 and 1991. Simultaneous multi-group analyses were also conducted to test the stability of the proposed model across younger and older participants and across individuals with and without cardiovascular disease. The findings demonstrated that the proposed structure was well supported (comparative fit index = 0.97, root mean square error approximation = 0.06) and stable across subgroups. The metabolic syndrome was represented primarily by the insulin resistance and obesity factors, followed by the lipid factor, and, to a lesser extent, the blood pressure factor. This study provides an empirical foundation for conceptualizing and measuring the metabolic syndrome that unites four related components (insulin resistance, obesity, lipids, and blood pressure).

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Year:  2003        PMID: 12697574     DOI: 10.1093/aje/kwg045

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  58 in total

1.  Hypercortisolemic depression is associated with the metabolic syndrome in late-life.

Authors:  Nicole Vogelzangs; Kristen Suthers; Luigi Ferrucci; Eleanor M Simonsick; Alessandro Ble; Matthew Schrager; Stefania Bandinelli; Fulvio Lauretani; Sandra V Giannelli; Brenda W Penninx
Journal:  Psychoneuroendocrinology       Date:  2007-01-16       Impact factor: 4.905

2.  Empirical evidence for "syndrome Z": a hierarchical 5-factor model of the metabolic syndrome incorporating sleep disturbance measures.

Authors:  Nora L Nock; Li Li; Emma K Larkin; Sanjay R Patel; Susan Redline
Journal:  Sleep       Date:  2009-05       Impact factor: 5.849

3.  Factor analysis of modifiable cardiovascular risk factors and prevalence of metabolic syndrome in adult Taiwanese.

Authors:  Chung-Huang Tsai; Tsai-Chung Li; Cheng-Chieh Lin; Hsin-Sheng Tsay
Journal:  Endocrine       Date:  2011-04-16       Impact factor: 3.633

4.  The factor structure of the metabolic syndrome in obese individuals with binge eating disorder.

Authors:  Tomoko Udo; Sherry A McKee; Marney A White; Robin M Masheb; Rachel D Barnes; Carlos M Grilo
Journal:  J Psychosom Res       Date:  2013-10-18       Impact factor: 3.006

Review 5.  The metabolic syndrome: time for a critical appraisal. Joint statement from the American Diabetes Association and the European Association for the Study of Diabetes.

Authors:  R Kahn; J Buse; E Ferrannini; M Stern
Journal:  Diabetologia       Date:  2005-09       Impact factor: 10.122

6.  Adipocytokines as features of the metabolic syndrome determined using confirmatory factor analysis.

Authors:  Mark M Smits; Pier Woudstra; Kristina M Utzschneider; Jenny Tong; Fernando Gerchman; Mirjam Faulenbach; Darcy B Carr; Kathryn Aston-Mourney; Alan Chait; Robert H Knopp; James B Meigs; Edward J Boyko; Steven E Kahn
Journal:  Ann Epidemiol       Date:  2013-03-25       Impact factor: 3.797

7.  Validation of metabolic syndrome score by confirmatory factor analysis in children and adults and prediction of cardiometabolic outcomes in adults.

Authors:  Anna Viitasalo; Timo A Lakka; David E Laaksonen; Kai Savonen; Hanna-Maaria Lakka; Maija Hassinen; Pirjo Komulainen; Tuomo Tompuri; Sudhir Kurl; Jari A Laukkanen; Rainer Rauramaa
Journal:  Diabetologia       Date:  2014-01-24       Impact factor: 10.122

8.  The relationship between waterpipe smoking and body weight: population-based findings from Syria.

Authors:  Kenneth D Ward; SangNam Ahn; Fawaz Mzayek; Radwan Al Ali; Samer Rastam; Taghrid Asfar; Fouad Fouad; Wasim Maziak
Journal:  Nicotine Tob Res       Date:  2014-08-05       Impact factor: 4.244

9.  Confirmatory factor analysis to assess the measure of adiposity that best fits the diagnosis of metabolic syndrome and relationship to physical activity in adults.

Authors:  Manuel A Gómez-Marcos; María C Patino-Alonso; José I Recio-Rodríguez; Juanjo Antón-Alvarez; Alfredo Cabrejas-Sánchez; Carmen Fernandez-Alonso; Javier Rubio-Galán; Verónica Arce; Luís García-Ortiz
Journal:  Eur J Nutr       Date:  2012-10-16       Impact factor: 5.614

10.  Defining genetic determinants of the Metabolic Syndrome in the Framingham Heart Study using association and structural equation modeling methods.

Authors:  Nora L Nock; Xuefeng Wang; Cheryl L Thompson; Yeunjoo Song; Dan Baechle; Paola Raska; Catherine M Stein; Courtney Gray-McGuire
Journal:  BMC Proc       Date:  2009-12-15
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