Journal Article

Anthropometric Indexes for Predicting High Blood Pressure in Vietnamese Adults: A Cross-Sectional Study

Nguyen Vo, Minh Hoang, Nguyen Minh, Quan

2020

Overview

The rate of hypertension and obesity is increasing in Vietnamese society. This study aimed to focus on assessing the relationship between anthropometric indexes (body mass index (BMI), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR)) and high blood pressure to determine which is the best predictor for high blood pressure among adults over 18 years in Vietnam. A cross-sectional study of 1636 people was conducted. People who were over 18 years old, healthy or had hyperlipidemia and on the treatment were recruited. Patients with cancer, heart disease, diabetes, kidney disease, and hypertension were excluded. Information on demographics, smoking and drinking habits, weight, height, waist circumference, and blood pressure was collected. Areas under receiver operating characteristic curves (AUCs) were examined to determine the predictability of anthropometric indicators for high blood pressure in men and women. Logistic regression analysis, stratified by gender, was performed to examine the association between anthropometric indexes and high blood pressure. In this study, the percentage of people with high blood pressure was 10.51%. The AUC for the WHtR was significantly greater than for the BMI for both genders. Logistic regression demonstrated that only WHtR had a significant positive association with high blood pressure among women. The optimal WHtR cut-off value for predicting high blood pressure in men and women were 0.47 and 0.50, respectively. Among the indicators analyzed in this study, WHtR was the best for the predicting of the presence of high blood pressure, in both men and women. However, WHtR could only explain the changes of high blood pressure in women.

• Publisher: Dove Medical Press Limited,Taylor & Francis Ltd,Dove Press,Dove
• Subject: Adults / Analysis / Anthropometry / Blood pressure / Body fat / Body mass index / Body measurements / Cardiac patients / Cardiovascular disease / Cross-sectional studies / Diabetes / Diabetes therapy / Gender differences / Heart diseases / high blood pressure / high blood pressure prediction / Hypertension / Kidney diseases / Low income groups / Multivariate analysis / Obesity / Original Research / Overweight / Smoking / Statistical analysis / Variables / waist-height ratio / waist-hip ratio / Womens health