(2017) Utility of the Visceral Adiposity Index and Hypertriglyceridemic Waist Phenotype for Predicting Incident Hypertension. Endocrinology and Metabolism-Enm. pp. 221-229. ISSN 2093-596X
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Abstract
Background: The aim of this study was to assess the utility of the visceral adiposity index (VAI) and the hypertriglyceridemic waist (HTGW) phenotype as possible hypertension (HTN) predictors in a high-risk population without diabetes and HTN. Methods: Incident HTN over a 7-year follow-up was assessed among 1,375 first-degree non-diabetic and non-hypertensive relatives of consecutive patients with type 2 diabetes who were 30 to 70 years of age. HTN was defined as a blood pressure reading >= 140/90 mm Hg or the use of antihypertensive medications. We examined the incidence of HTN across VAI quintiles and four groups defined according to baseline fasting serum triglyceride (TG) levels and waist circumference (WC). Results: The VAI and the HTGW phenotype at baseline were related to an increased risk for HTN. In comparison with the lowest VAI quintile, the highest VAI quintile showed a significant associated with HTN in an age-and gender-adjusted model (odds ratio OR, 1.65; 95% confidence interval CI, 1.07 to 2.55). Those with HTGW were 2.3 times (OR, 2.27; 95% CI, 1.54 to 3.35) more likely to develop HTN than those with a normal WC and normal TG levels. Conclusion: Greater VAI values weakly predicted HTN, whereas the HTGW phenotype was a stronger predictor of incident HTN in an Iranian high-risk population.
Item Type: | Article |
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Keywords: | visceral adiposity index hypertension incidence risk factors hypertriglyceridemic waist body-fat distribution high blood-pressure risk-factors japanese-americans cardiometabolic risk women men prevalence obesity plasma |
Divisions: | Faculty of Medicine > Department of Basic Science > Department of Medical Physics |
Page Range: | pp. 221-229 |
Journal or Publication Title: | Endocrinology and Metabolism-Enm |
Journal Index: | ISI |
Volume: | 32 |
Number: | 2 |
Identification Number: | https://doi.org/10.3803/EnM.2017.32.2.221 |
ISSN: | 2093-596X |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.mui.ac.ir/id/eprint/503 |
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