Literature DB >> 26550229

Investigation of relationship of visceral body fat and inflammatory markers with metabolic syndrome and its components among apparently healthy individuals.

Yasemin Turker1, Davut Baltaci2, Yasin Turker3, Serkan Ozturk4, Cemil Isik Sonmez2, Mehmet Harun Deler5, Yunus Cem Sariguzel6, Feyza Sariguzel2, Handan Ankarali7.   

Abstract

Metabolic syndrome is a cluster of disorders and great risk for cardiovascular diseases. We aimed to investigate association between severity of metabolic syndrome (MetS) and anthropometric measurements, and to evaluate correlation of MetS and its components with metabolic deterioration and inflammatory indexes. The cross-sectional study enrolled 1474 patients with obesity and overweight. The patients were grouped as MetS and Non-MetS, and were sub-grouped as group 1 (three criteria), 2 (four criteria) and 3 (≥ five criteria) according to NCEP ATP III. Mean age was 38.7 ± 11.9 years and BMI was 35.1 ± 6.3 kg/m(2). Lipid profile, anthropometric and blood pressure measurements, liver function tests, bioelectric impedance body fat compositions, insulin resistance and HbA1c, and spot urinary albumin-creatinine ratio were significantly different between groups of MetS and Non-MetS. Age, lipid profile, bioelectric impedance fat analyses, BMI, blood pressure values, glucose, insulin resistance, uric acid and hs-CRP levels were significantly different between groups of MetS component groups. ROC analysis revealed that hs-CRP was found to be more predictive for severity of metabolic syndrome components 3 and 4 (P=0.030); uric acid and visceral fat were more actual to predict severity of metabolic syndrome between 3 and 5 MetS components, (P=0.006) and uric acid was detected as more actual to predict severity of MetS between 4 and 5 components (P=0.023). In conclusion, uric acid, hs-CRP and visceral body fat composition were useful to predict to severity of MetS in primary care.

Entities:  

Keywords:  Hs-CRP; Metabolic syndrome; bioelectric impedance fat analysis; primary care; uric acid

Year:  2015        PMID: 26550229      PMCID: PMC4612914     

Source DB:  PubMed          Journal:  Int J Clin Exp Med        ISSN: 1940-5901


  23 in total

Review 1.  Definition of metabolic syndrome: Report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition.

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Journal:  Circulation       Date:  2004-01-27       Impact factor: 29.690

2.  Aging, metabolic syndrome and the heart.

Authors:  Guarner Veronica; Rubio-Ruiz Maria Esther
Journal:  Aging Dis       Date:  2012-03-13       Impact factor: 6.745

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Authors:  E N Liberopoulos; D P Mikhailidis; M S Elisaf
Journal:  Obes Rev       Date:  2005-11       Impact factor: 9.213

4.  Sex differences in the relationship between socioeconomic status and metabolic syndrome: the Korean National Health and Nutrition Examination Survey.

Authors:  So-Jung Park; Hee-Taik Kang; Chung-Mo Nam; Byoung-Jin Park; John A Linton; Yong-Jae Lee
Journal:  Diabetes Res Clin Pract       Date:  2012-01-15       Impact factor: 5.602

5.  Prospective epidemiologic evidence of a "protective" effect of smoking on metabolic syndrome and diabetes among Turkish women--without associated overall health benefit.

Authors:  Altan Onat; Hakan Ozhan; A Metin Esen; Sinan Albayrak; Ahmet Karabulut; Günay Can; Gülay Hergenç
Journal:  Atherosclerosis       Date:  2006-08-22       Impact factor: 5.162

6.  High-sensitivity C-reactive protein and white blood cell count equally predict development of the metabolic syndrome in a Japanese health screening population.

Authors:  Eiji Oda
Journal:  Acta Diabetol       Date:  2013-04-26       Impact factor: 4.280

Review 7.  [Obesity, metabolic syndrome and diabetes: cardiovascular implications and therapy].

Authors:  Eduardo Alegría Ezquerra; José M Castellano Vázquez; Ana Alegría Barrero
Journal:  Rev Esp Cardiol       Date:  2008-07       Impact factor: 4.753

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Authors:  Mark R Nelson
Journal:  Aust Fam Physician       Date:  2004-04

9.  Genetic and environmental associations between C-reactive protein and components of the metabolic syndrome.

Authors:  Kayoung Lee; Yun-Mi Song; Joohon Sung
Journal:  Metab Syndr Relat Disord       Date:  2013-01-29       Impact factor: 1.894

10.  Active smoking and risk of metabolic syndrome: a meta-analysis of prospective studies.

Authors:  Kan Sun; Jianmin Liu; Guang Ning
Journal:  PLoS One       Date:  2012-10-17       Impact factor: 3.240

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  2 in total

1.  Metabolism rather than obesity is associated with ischemic stroke: a cross-sectional study in rural Northeastern China.

Authors:  Zhao Li; Xiaofan Guo; Yamin Liu; Naijin Zhang; Ye Chang; Yintao Chen; Yingxian Sun; Maria Roselle Abraham
Journal:  Springerplus       Date:  2016-08-25

2.  Metabolic syndrome severity score: range and associations with cardiovascular risk factors.

Authors:  Borislav D Dimitrov; Karamfil M Bahchevanov; Penka A Atanassova; Mitko D Mitkov; Radka I Massaldjieva; Kostadin A Chompalov; Georgi K Hadzhipetrov
Journal:  Arch Med Sci Atheroscler Dis       Date:  2016-09-06
  2 in total

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