A factor analysis of the metabolic syndrome components and predicting type 2 diabetes : Result of 10 year follow-up in a Middle East population 1 Running title : Metabolic syndrome and type 2 diabetes Author ’ s names

1. Department Epidemiology and Biostatistics, School of Public Health and Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran 2. Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences 3. Department of Epidemiology, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran 4. Department of Clinical Epidemiology, Faculty of Health, Ilam University of Medical Sciences, Ilam, Iran 5. Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

[1]  E. Ayubi.  Metabolic Syndrome in the Rural Population of Wardha, Central India: Confounding of Factor Analysis as Result of High Correlated Variables , 2014, Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine.

[2]  Matthew J Gurka,et al.  An examination of sex and racial/ethnic differences in the metabolic syndrome among adults: a confirmatory factor analysis and a resulting continuous severity score. , 2014, Metabolism: clinical and experimental.

[3]  J. Recio-Rodríguez,et al.  Confirmatory factor analysis to assess the measure of adiposity that best fits the diagnosis of metabolic syndrome and relationship to physical activity in adults , 2013, European Journal of Nutrition.

[4]  P. Woudstra,et al.  Adipocytokines as features of the metabolic syndrome determined using confirmatory factor analysis. , 2013, Annals of epidemiology.

[5]  Xiuhua Guo,et al.  Evaluation of two single-factor models of metabolic syndrome: a confirmatory factor analysis for an adult population in Beijing , 2013, Lipids in Health and Disease.

[6]  C. Hajat,et al.  Prevalence of metabolic syndrome and prediction of diabetes using IDF versus ATPIII criteria in a Middle East population. , 2012, Diabetes research and clinical practice.

[7]  P. Zeng,et al.  Metabolic syndrome and the development of type 2 diabetes among professionals living in Beijing, China. , 2011, Diabetes research and clinical practice.

[8]  B. Notario-Pacheco,et al.  [Validity of a single-factor model underlying the metabolic syndrome in young adults: confirmatory factor analysis]. , 2011, Revista espanola de cardiologia.

[9]  Tsai-Chung Li,et al.  Factor analysis of modifiable cardiovascular risk factors and prevalence of metabolic syndrome in adult Taiwanese , 2011, Endocrine.

[10]  R. Kelishadi,et al.  Appropriate definition of metabolic syndrome among Iranian adults: report of the Iranian National Committee of Obesity. , 2010, Archives of Iranian medicine.

[11]  A. Esteghamati,et al.  Clustering of metabolic syndrome components in a Middle Eastern diabetic and non-diabetic population , 2010, Diabetology & metabolic syndrome.

[12]  J. Cleeman,et al.  Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Forceon Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World HeartFederation; International Atherosclerosis Society; and International Asso , 2010 .

[13]  A. Zabetian,et al.  Prevalence of metabolic syndrome by the Adult Treatment Panel III, International Diabetes Federation, and World Health Organization definitions and their association with coronary heart disease in an elderly Iranian population. , 2009, Annals of the Academy of Medicine, Singapore.

[14]  Farzad Hadaegh,et al.  Prevention of non-communicable disease in a population in nutrition transition: Tehran Lipid and Glucose Study phase II , 2009, Trials.

[15]  A. Ghasemi,et al.  The metabolic syndrome and incident diabetes: Assessment of alternative definitions of the metabolic syndrome in an Iranian urban population. , 2008, Diabetes research and clinical practice.

[16]  Y. Hung,et al.  Factor analysis of metabolic syndrome using direct measurement of insulin resistance in Chinese with different degrees of glucose tolerance. , 2008, The Indian journal of medical research.

[17]  A. Zabetian,et al.  Prevalence of metabolic syndrome in Iranian adult population, concordance between the IDF with the ATPIII and the WHO definitions. , 2007, Diabetes research and clinical practice.

[18]  R. Niaura,et al.  A Single Factor Underlies the Metabolic Syndrome: A Confirmatory Factor Analysis , 2006, Diabetes Care.

[19]  J. Shaw,et al.  Metabolic syndrome—a new world‐wide definition. A Consensus Statement from the International Diabetes Federation , 2006, Diabetic medicine : a journal of the British Diabetic Association.

[20]  J. Tuomilehto,et al.  The metabolic syndrome defined by factor analysis and incident type 2 diabetes in a chinese population with high postprandial glucose. , 2004, Diabetes care.

[21]  E. Barrett-Connor,et al.  Prevalence and factor analysis of metabolic syndrome in an urban Korean population. , 2004, Diabetes care.

[22]  P. Savage,et al.  Metabolic and inflammation variable clusters and prediction of type 2 diabetes: factor analysis using directly measured insulin sensitivity. , 2004, Diabetes.

[23]  K. Choi,et al.  Factor analysis of the metabolic syndrome among elderly Koreans—the South‐west Seoul Study , 2003, Diabetic medicine : a journal of the British Diabetic Association.

[24]  Robert L Hanson,et al.  Components of the "metabolic syndrome" and incidence of type 2 diabetes. , 2002, Diabetes.

[25]  P. Savage,et al.  Factor analysis of metabolic syndrome using directly measured insulin sensitivity: The Insulin Resistance Atherosclerosis Study. , 2002, Diabetes.

[26]  B. Tomlinson,et al.  Factor analysis of the metabolic syndrome: obesity vs insulin resistance as the central abnormality , 2001, International Journal of Obesity.

[27]  N. Day,et al.  Do different dimensions of the metabolic syndrome change together over time? Evidence supporting obesity as the central feature. , 2001, Diabetes care.

[28]  C. H. Chen,et al.  Different association of hypertension and insulin-related metabolic syndrome between men and women in 8437 nondiabetic Chinese. , 2000, American journal of hypertension.

[29]  M. Katz.  Multivariable Analysis: A Practical Guide for Clinicians , 1999 .

[30]  Ralph B D'Agostino,et al.  Risk Variable Clustering in the Insulin Resistance Syndrome: The Framingham Offspring Study , 1997, Diabetes.

[31]  R. Krauss,et al.  Multivariate analysis of the insulin resistance syndrome in women. , 1994, Arteriosclerosis and thrombosis : a journal of vascular biology.

[32]  R. Hamman.  Genetic and environmental determinants of non-insulin-dependent diabetes mellitus (NIDDM). , 1992, Diabetes/metabolism reviews.

[33]  D. Hooper,et al.  Exploratory Factor Analysis , 2022, The SAGE Encyclopedia of Research Design.

[34]  P. Deshmukh,et al.  Metabolic Syndrome in the Rural Population of Wardha, Central India: An Exploratory Factor Analysis , 2013, Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine.

[35]  A. Esteghamati,et al.  Prevalence of Diabetes Mellitus and Impaired Fasting Glucose in the Adult Population of Iran : The National Survey of Risk Factors for Non-Communicable Diseases of Iran , 2007 .

[36]  M. Laakso,et al.  Hyperinsulinemia cluster predicts the development of type 2 diabetes independently of family history of diabetes. , 1999, Diabetes care.