Literature DB >> 18277389

Waist circumference, not the metabolic syndrome, predicts glucose deterioration in type 2 diabetes.

Michael J Blaha1, Tebeb Gebretsadik, Ayumi Shintani, Tom A Elasy.   

Abstract

We sought to assess the relationship between the metabolic syndrome, abdominal obesity, and glucose deterioration amongst patients with type 2 diabetes. Our prospective cohort consisted of 164 adult patients with established diabetes who have a history of poor glycemic control, have just completed an intensive intervention aimed at improved control, and have demonstrated reduced HbA1c prior to enrollment. Waist circumference and presence of metabolic syndrome were assessed at baseline, and patients were followed up (median 24 months) for assessment of the study outcome, namely, time-to-hyperglycemic relapse, predefined as HbA1c >8% and >1% rise over baseline. Kaplan-Meier estimates of relapse-free glucose maintenance and multivariable Cox regression models were used for quantifying the independent effects of the metabolic syndrome and waist circumference on risk of glucose deterioration. The mean baseline waist circumference was 42.9 5.5 inches. Prevalence of the metabolic syndrome was 80%. During follow-up, 39 patients (24%) experienced hyperglycemic relapse. The metabolic syndrome was not associated with time-to-relapse (P = 0.15). The waist circumference component by itself, however, was associated with increased likelihood of hyperglycemic relapse with an unadjusted hazard ratio of 3.4 (95% confidence interval (CI) 1.2-9.7) and a hazard ratio of 3.2 (95% CI 1.1-9.1) after adjusting for age, gender, insulin use, weight change, and physical activity level. The National Cholesterol Education Program Adult Treatment Panel III (NCEP ATPIII) metabolic syndrome had limited ability to predict glucose deterioration in this type 2 diabetes cohort. Waist circumference by itself, however, is a strong predictor of future glucose control, and may be a parsimonious tool for risk stratification. BMI may also be a useful predictive tool.

Entities:  

Mesh:

Year:  2008        PMID: 18277389      PMCID: PMC4131716          DOI: 10.1038/oby.2008.12

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  35 in total

1.  Glycemic relapse after an intensive outpatient intervention for type 2 diabetes.

Authors:  Tom A Elasy; Alan L Graber; Kathleen Wolff; Anne Brown; Ayumi Shintani
Journal:  Diabetes Care       Date:  2003-05       Impact factor: 19.112

2.  Tests of glycemia in diabetes.

Authors:  David E Goldstein; Randie R Little; Rodney A Lorenz; John I Malone; David M Nathan; Charles M Peterson
Journal:  Diabetes Care       Date:  2004-01       Impact factor: 19.112

3.  Impact of metabolic syndrome criteria on cardiovascular disease risk in people with newly diagnosed type 2 diabetes.

Authors:  R N Guzder; W Gatling; M A Mullee; C D Byrne
Journal:  Diabetologia       Date:  2005-12-10       Impact factor: 10.122

4.  Metabolic syndrome vs Framingham Risk Score for prediction of coronary heart disease, stroke, and type 2 diabetes mellitus.

Authors:  S Goya Wannamethee; A Gerald Shaper; Lucy Lennon; Richard W Morris
Journal:  Arch Intern Med       Date:  2005 Dec 12-26

5.  Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group.

Authors:  R B D'Agostino
Journal:  Stat Med       Date:  1998-10-15       Impact factor: 2.373

6.  Cardiovascular morbidity and mortality associated with the metabolic syndrome.

Authors:  B Isomaa; P Almgren; T Tuomi; B Forsén; K Lahti; M Nissén; M R Taskinen; L Groop
Journal:  Diabetes Care       Date:  2001-04       Impact factor: 19.112

7.  Metabolic syndrome as a predictor of all-cause and cardiovascular mortality in type 2 diabetes: the Casale Monferrato Study.

Authors:  Graziella Bruno; Franco Merletti; Annibale Biggeri; Giuseppe Bargero; Stefania Ferrero; Cristina Runzo; Stefano Prina Cerai; Gianfranco Pagano; Paolo Cavallo-Perin
Journal:  Diabetes Care       Date:  2004-11       Impact factor: 19.112

Review 8.  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:  Richard Kahn; John Buse; Ele Ferrannini; Michael Stern
Journal:  Diabetes Care       Date:  2005-09       Impact factor: 19.112

9.  Metabolic syndrome and development of diabetes mellitus: application and validation of recently suggested definitions of the metabolic syndrome in a prospective cohort study.

Authors:  David E Laaksonen; Hanna-Maaria Lakka; Leo K Niskanen; George A Kaplan; Jukka T Salonen; Timo A Lakka
Journal:  Am J Epidemiol       Date:  2002-12-01       Impact factor: 4.897

Review 10.  Physiological and pathophysiological regulation of regional adipose tissue in the development of insulin resistance and type 2 diabetes.

Authors:  C Rattarasarn
Journal:  Acta Physiol (Oxf)       Date:  2006-02       Impact factor: 6.311

View more
  10 in total

1.  Age at type 2 diabetes onset and glycaemic control: results from the National Health and Nutrition Examination Survey (NHANES) 2005-2010.

Authors:  Seth A Berkowitz; James B Meigs; Deborah J Wexler
Journal:  Diabetologia       Date:  2013-09-01       Impact factor: 10.122

2.  Effects of six months of combined aerobic and resistance training for elderly patients with a long history of type 2 diabetes.

Authors:  Sijie Tan; Wei Li; Jianxiong Wang
Journal:  J Sports Sci Med       Date:  2012-09-01       Impact factor: 2.988

3.  Inadequate control of diabetes and metabolic indices among diabetic patients: A population based study from the Kerman Coronary Artery Disease Risk Study (KERCADRS).

Authors:  Gholamreza Yousefzadeh; Mostafa Shokoohi; Hamid Najafipour
Journal:  Int J Health Policy Manag       Date:  2014-12-23

Review 4.  Central adiposity, systemic inflammation, and the metabolic syndrome.

Authors:  Carrie M Elks; Joseph Francis
Journal:  Curr Hypertens Rep       Date:  2010-04       Impact factor: 5.369

5.  Determinants of glycemic control in female diabetic patients: a study from Iran.

Authors:  Zeinab Ghazanfari; Shamsaddin Niknami; Fazlollah Ghofranipour; Bagher Larijani; Hamid Agha-Alinejad; Ali Montazeri
Journal:  Lipids Health Dis       Date:  2010-08-11       Impact factor: 3.876

6.  Is vitamin D status a determining factor for metabolic syndrome? A case-control study.

Authors:  Shabnam Salekzamani; Tirang R Neyestani; Hamid Alavi-Majd; Anahita Houshiarrad; Ali Kalayi; Nastaran Shariatzadeh; A'azam Gharavi
Journal:  Diabetes Metab Syndr Obes       Date:  2011-06-10       Impact factor: 3.168

7.  Diabetes mellitus and its correlates in an Iranian adult population.

Authors:  Asieh Golozar; Hooman Khademi; Farin Kamangar; Hossein Poutschi; Farhad Islami; Christian C Abnet; Neal D Freedman; Philip R Taylor; Paul Pharoah; Paolo Boffetta; Paul J Brennan; Sanford M Dawsey; Reza Malekzadeh; Arash Etemadi
Journal:  PLoS One       Date:  2011-10-28       Impact factor: 3.240

8.  Predictors of effects of lifestyle intervention on diabetes mellitus type 2 patients.

Authors:  Ramune Jacobsen; Eva Vadstrup; Michael Røder; Anne Frølich
Journal:  ScientificWorldJournal       Date:  2012-04-19

Review 9.  The impact of phenotype, ethnicity and genotype on progression of type 2 diabetes mellitus.

Authors:  Anand Thakarakkattil Narayanan Nair; Louise A Donnelly; Adem Y Dawed; Sushrima Gan; Ranjit M Anjana; Mohan Viswanathan; Colin N A Palmer; Ewan R Pearson
Journal:  Endocrinol Diabetes Metab       Date:  2020-01-07

10.  Differential methylation of TCF7L2 promoter in peripheral blood DNA in newly diagnosed, drug-naïve patients with type 2 diabetes.

Authors:  Silvia Canivell; Elena G Ruano; Antoni Sisó-Almirall; Belchin Kostov; Luis González-de Paz; Eduardo Fernandez-Rebollo; Felicia A Hanzu; Marcelina Párrizas; Anna Novials; Ramon Gomis
Journal:  PLoS One       Date:  2014-06-10       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.