title: Nutritional risk factors for the development of hypertension in diabetic patients.
abstract: The aim of this cross-sectional study was to determine the significant limitations, sensitivity, specificity, partial correlations, and odds ratios of nutrient intake in patients with and without hypertension with Type 2 diabetes mellitus. Diabetic patients (n=220) with clinical diagnosis of hypertension and diabetic patients (n=230) without hypertension were included in this study. The questionnaire form included a list of 65 food items formed from five main food groups (grain, meat and alternatives, dairy products, vegetables-fruits and fat) and 25 dietary habits. When both groups were compared and analyzed by logistic regression, black tea consumption (OR=0.823, P<.001), vegetables-fruits scores (OR=0.853, P<.001), triglycerides (OR=0.726, P<.05), waist-to-hip ratio (WHR) (OR=0.777, P<.01) and high-density lipoprotein cholesterol (HDL-C) (OR=0.526, P<.001) made significant differences. In ROC curves, the area under the curve of black tea (0.921), vegetables-fruits (0.906), triglycerides (0.889), WHR (0.881) and HDL-C (0.820) provided high accuracy to distinguish between patients with and without hypertension (P<.001). In diabetic patients without hypertension, significant partial correlations were observed between blood pressure and dairy products (systolic: r=)0.14; diastolic: r=)0.14, P<.05), vegetables-fruits groups (systolic: r=)0.18; diastolic: r=)0.17, P<.01) and black tea intake (systolic: r=)0.23; diastolic: r=)0.22, P<.001). It has been found that higher intake of black tea and vegetables-fruits consumption in diabetic patients protect against developing hypertension.
authors.affiliation: Nutrition and Dietetics Division, Hospital of Dicle University, 21280 Diyarbakir, Turkey. fcelik@dicle.edu.tr
authors.forename: Fatma
authors.initials: F
authors.lastname: Celik
authors.forename: Murat
authors.initials: M
authors.lastname: Celik
authors.forename: Veysi
authors.initials: V
authors.lastname: Akpolat
mesh_terms: D000328:Adult; D000886:Anthropometry; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure / Q000502:physiology; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D003611:Dairy Products / Q000706:statistics & numerical data; D003924:Diabetes Mellitus, Type 2 / Q000150:complications* / Q000503:physiopathology; D004032:Diet / Q000706:statistics & numerical data*; D004034:Diet Surveys; D005247:Feeding Behavior; D005638:Fruit; D006801:Humans; D006973:Hypertension / Q000209:etiology* / Q000517:prevention & control; D008055:Lipids / Q000097:blood; D008297:Male; D008875:Middle Aged; D009752:Nutritional Status; D016017:Odds Ratio; D012372:ROC Curve; D012044:Regression Analysis; D012307:Risk Factors; D018709:Statistics, Nonparametric; D013662:Tea; D014421:Turkey; D014675:Vegetables
chemical_list: D001786:Blood Glucose; D008055:Lipids; D013662:Tea