Literature DB >> 20630609

Diabetes incidence for all possible combinations of metabolic syndrome components.

Gregory A Nichols1, Edward J Moler.   

Abstract

AIMS: Because metabolic syndrome (MetS) is defined as any three of five criteria, not all persons with MetS have the same risk factors. Whether the combinations of criteria confer equal diabetes risk is unknown.
METHODS: We identified 58,056 non-diabetic adults age >=30 with all MetS components measured in 2003-2004. We estimated age- and sex-adjusted diabetes incidence over 5 years for all possible combinations of MetS components.
RESULTS: The overall incidence rate of diabetes was 12.5/1000 person-years (95% CI 12.1-12.9). Although incidence increased with the MetS factor count, incidence varied by >9-fold in patients with 3 risk factors, >5-fold in patients with 4 factors, and >54-fold in patients with <3 factors. All two-factor combinations that included hyperglycemia had higher incidence rates than three- or four-factor combinations that did not. For example, incidence in patients with only hyperglycemia and obesity was 21.7/1000 person-years (95% CI 17.4-27.1), compared to 11.4 (9.8-13.4) among those with four components without hyperglycemia.
CONCLUSIONS: Diabetes risk increases exponentially with MetS factor count, but varies substantially depending upon which factors are present. Hyperglycemia, regardless of the presence of MetS, is a much stronger predictor of incident diabetes than MetS without hyperglycemia.

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Year:  2010        PMID: 20630609     DOI: 10.1016/j.diabres.2010.06.011

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  10 in total

1.  Metabolic syndrome components are associated with future medical costs independent of cardiovascular hospitalization and incident diabetes.

Authors:  Gregory A Nichols; Edward J Moler
Journal:  Metab Syndr Relat Disord       Date:  2010-12-18       Impact factor: 1.894

2.  Comparison of accuracy of diabetes risk score and components of the metabolic syndrome in assessing risk of incident type 2 diabetes in Inter99 cohort.

Authors:  Tracy B Shafizadeh; Edward J Moler; Janice A Kolberg; Uyen Thao Nguyen; Torben Hansen; Torben Jorgensen; Oluf Pedersen; Knut Borch-Johnsen
Journal:  PLoS One       Date:  2011-07-29       Impact factor: 3.240

3.  Dysglycaemia and Other Predictors for Progression or Regression from Impaired Fasting Glucose to Diabetes or Normoglycaemia.

Authors:  L de Abreu; Kara L Holloway; Mark A Kotowicz; Julie A Pasco
Journal:  J Diabetes Res       Date:  2015-07-27       Impact factor: 4.011

4.  Hyperglycemia and blood pressure treatment goal: a cross sectional survey of 18350 patients with type 2 diabetes in 77 tertiary hospitals in China.

Authors:  Linong Ji; Xinyue Zhi; Juming Lu; Xiaohui Guo; Wenying Yang; Weiping Jia; Dajin Zou; Zhiguang Zhou; Qiuhe Ji; Dalong Zhu; Lixin Shi; Jianping Weng
Journal:  PLoS One       Date:  2014-08-14       Impact factor: 3.240

5.  Metabolic syndrome and subsequent risk of type 2 diabetes and cardiovascular disease in elderly women: Challenging the current definition.

Authors:  Katrine Dragsbæk; Jesper S Neergaard; Janne M Laursen; Henrik B Hansen; Claus Christiansen; Henning Beck-Nielsen; Morten A Karsdal; Susanne Brix; Kim Henriksen
Journal:  Medicine (Baltimore)       Date:  2016-09       Impact factor: 1.889

6.  Vitamin D status is inversely associated with markers of risk for type 2 diabetes: A population based study in Victoria, Australia.

Authors:  Poonam K Pannu; Leonard S Piers; Mario J Soares; Yun Zhao; Zahid Ansari
Journal:  PLoS One       Date:  2017-06-02       Impact factor: 3.240

7.  Cardiometabolic Risk Factors Among 1.3 Million Adults With Overweight or Obesity, but Not Diabetes, in 10 Geographically Diverse Regions of the United States, 2012-2013.

Authors:  Gregory A Nichols; Michael Horberg; Corinna Koebnick; Deborah Rohm Young; Beth Waitzfelder; Nancy E Sherwood; Matthew F Daley; Assiamira Ferrara
Journal:  Prev Chronic Dis       Date:  2017-03-09       Impact factor: 2.830

8.  Regardless of central obesity, metabolic syndrome is a significant predictor of type 2 diabetes in Japanese Americans.

Authors:  Yu Sakashita; Shuhei Nakanishi; Masayasu Yoneda; Reiko Nakashima; Kiminori Yamane; Nobuoki Kohno
Journal:  J Diabetes Investig       Date:  2015-02-13       Impact factor: 4.232

9.  Age-specific diabetes risk by the number of metabolic syndrome components: a Korean nationwide cohort study.

Authors:  Min-Kyung Lee; Kyungdo Han; Hyuk-Sang Kwon
Journal:  Diabetol Metab Syndr       Date:  2019-12-27       Impact factor: 3.320

10.  Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia.

Authors:  Bernd Richter; Bianca Hemmingsen; Maria-Inti Metzendorf; Yemisi Takwoingi
Journal:  Cochrane Database Syst Rev       Date:  2018-10-29
  10 in total

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