(2016) Utility of hypertriglyceridemic waist phenotype for predicting incident type2 diabetes: The Isfahan Diabetes Prevention Study. Journal of Diabetes Investigation. pp. 860-866. ISSN 2040-1116
Full text not available from this repository.
Abstract
Aim/IntroductionWe evaluated the association between hypertriglyceridemic waist (HTW) phenotype and the risks of type2 diabetes in an Iranian high-risk population. Materials and MethodsWe analyzed 7-year follow-up data (n=1,865) in non-diabetic first-degree relatives of consecutive patients with type2 diabetes aged 30-70years. The primary outcome was the diagnosis of type2 diabetes based on repeated oral glucose tolerance tests. We used multiple logistic regressions to estimate the odds ratio (OR) for incident type2 diabetes across four groups according to baseline fasting serum triglycerides (TG) level and waist circumference (WC): normal WC and normal TG, normal WC and high TG, enlarged WC and normal TG, and HTW (enlarged WC high TG). ResultsThe HTW phenotype at baseline was associated with the incidence of type2 diabetes. Those with HTW were 2.4-fold (OR 2.36, 95 confidence interval 1.61-3.44), those with normal WC high TG were 1.9-fold (OR 1.87, 95 confidence interval 1.29-2.70) and those with enlarged WC but normal TG were 2.8-fold (OR 2.84, 95 confidence interval 1.96-4.13) more likely to develop type2 diabetes than those with normal WC and normalTG. ConclusionsThese data provide further evidence that the HTW phenotype is a robust predictor of type2 diabetes in high-risk individuals in Iran, and the predictive power is not higher than that of simple enlarged WC and normal TG, emphasizing the importance of enlarged WC to the development of type2 diabetes.
Item Type: | Article |
---|---|
Keywords: | hypertriglyceridemic waist risk factor type2 diabetes adults health men association index risk bmi |
Page Range: | pp. 860-866 |
Journal or Publication Title: | Journal of Diabetes Investigation |
Journal Index: | ISI |
Volume: | 7 |
Number: | 6 |
Identification Number: | https://doi.org/10.1111/jdi.12520 |
ISSN: | 2040-1116 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.mui.ac.ir/id/eprint/2310 |
Actions (login required)
View Item |