Literature DB >> 25492310

Factor analysis of metabolic syndrome components and predicting type 2 diabetes: Results of 10-year follow-up in a Middle Eastern population.

Erfan Ayubi1, Davood Khalili2, Ali Delpisheh3, Farzad Hadaegh2, Fereidoun Azizi4.   

Abstract

BACKGROUND: The relationship among components of metabolic syndrome (MetS) and their association with diabetes is unclear in West Asia. The aim of the present study was to conduct factor analysis of MetS components and the effect these factors have on the incidence of type 2 diabetes (T2D) in a population-based cohort study of the Tehran Lipid and Glucose Study (TLGS).
METHODS: The present study enrolled 1861 men and 2706 women (20-60 years of age), from Tehran (Iran) who were free of diabetes at baseline and followed them for 10 years. A principal component analysis was performed to extract standardized factors from MetS components. Logistic regression was used to detect associations between the extracted factors and the incidence of diabetes. A propensity score was used to correct differential selection bias resulting from loss to follow-up.
RESULTS: Factor analysis identified three factors (blood pressure, lipids and glycemia). Waist circumference was shared in three all factors. Blood pressure, lipids and glycemia were related to the incidence of diabetes with odds ratios (95% confidence intervals) of 2.23 (1.31-3.78), 1.89 (1.27-3.67), and 7.54 (4.09-13.91), respectively, in men and 2.13 (1.34-3.40), 2.06 (1.35-3.15), and 13.91 (7.29-26.51), respectively, in women for the third versus the first tertile of these standardized factors.
CONCLUSIONS: Central adiposity may have a pivotal role in MetS linking other risk factors together. Glycemia had a high impact on the incidence of diabetes, whereas blood pressure and lipid had a similar moderate effect on the incidence of diabetes.
© 2014 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and Wiley Publishing Asia Pty Ltd.

Entities:  

Keywords:  Tehran Lipid and Glucose Study (TLGS); factor analysis; metabolic syndrome; type 2 diabetes mellitus; 关键词:因素分析,代谢综合征,德黑兰血脂与血糖研究(TLGS), 2型糖尿病

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Year:  2015        PMID: 25492310     DOI: 10.1111/1753-0407.12252

Source DB:  PubMed          Journal:  J Diabetes        ISSN: 1753-0407            Impact factor:   4.006


  8 in total

1.  Hypertension is the primary component of metabolic syndrome associated with pathologic features of kidney cancer: methodological issues.

Authors:  Nahid Karamzad; Erfan Ayubi; Vahid Rahmani; Saeid Safiri
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2.  Longitudinal Associations between Triglycerides and Metabolic Syndrome Components in a Beijing Adult Population, 2007-2012.

Authors:  Li-Xin Tao; Kun Yang; Xiang-Tong Liu; Kai Cao; Hui-Ping Zhu; Yan-Xia Luo; Jin Guo; Li-Juan Wu; Xia Li; Xiu-Hua Guo
Journal:  Int J Med Sci       Date:  2016-06-01       Impact factor: 3.738

Review 3.  Metabolic Syndrome: Findings from 20 Years of the Tehran Lipid and Glucose Study.

Authors:  Firoozeh Hosseini-Esfahani; Zahra Bahadoran; Nazanin Moslehi; Golaleh Asghari; Emad Yuzbashian; Somayeh Hosseinpour-Niazi; Parvin Mirmiran; Fereidoun Azizi
Journal:  Int J Endocrinol Metab       Date:  2018-10-21

Review 4.  Blood Pressure and Hypertension: Findings from 20 Years of the Tehran Lipid and Glucose Study (TLGS).

Authors:  Hengameh Abdi; Atieh Amouzegar; Maryam Tohidi; Fereidoun Azizi; Farzad Hadaegh
Journal:  Int J Endocrinol Metab       Date:  2018-10-20

5.  Factor Analysis of Metabolic Syndrome Components in a Population-Based Study in the South of Iran (PERSIAN Kharameh Cohort Study).

Authors:  Hossein-Ali Nikbakht; Abbas Rezaianzadeh; Mozhgan Seif; Haleh Ghaem
Journal:  Iran J Public Health       Date:  2021-09       Impact factor: 1.429

6.  Longitudinal associations of high-density lipoprotein cholesterol or low-density lipoprotein cholesterol with metabolic syndrome in the Chinese population: a prospective cohort study.

Authors:  Xiao-Rong Wang; Gui-Rong Song; Meng Li; Hong-Ge Sun; Yong-Jun Fan; Ying Liu; Qi-Gui Liu
Journal:  BMJ Open       Date:  2018-05-09       Impact factor: 2.692

7.  Factor Analysis of Metabolic Syndrome Components in an Iranian Non-Diabetic Adult Population: A Population-Based Study from the North of Iran.

Authors:  Karimollah Hajian-Tilaki
Journal:  Int J Endocrinol Metab       Date:  2018-04-17

8.  Comparison of Competitive Models of Metabolic Syndrome Using Structural Equation Modeling: A Confirmatory Factor Analysis.

Authors:  Karimollah Hajian-Tilaki
Journal:  Diabetes Metab J       Date:  2018-10       Impact factor: 5.376

  8 in total

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