Relationship Between Body Fat Indices and Hypertension Level by Quantitative CT: A Multicenter Study in Chinese Population
10.3969/j.issn.1000-3614.2018.04.007
- VernacularTitle:定量计算机断层摄影术测定中国人群多中心体脂指标与高血压水平的相关性研究
- Author:
Hong-Qun CHEN
1
;
You-Zhou CHEN
;
Mei ZHENG
;
Ji-Hong WANG
;
Yang-Yang DUANMU
;
Ling WANG
;
Xiao-Guang CHENG
;
Xing-Shan ZHAO
Author Information
1. 北京大学第四临床医学院 北京积水潭医院 心内科
- Keywords:
Visceral adipose tissue;
Hypertension;
Waist circumference;
Obesity
- From:
Chinese Circulation Journal
2018;33(4):341-345
- CountryChina
- Language:Chinese
-
Abstract:
Objectives: To explore the relationship between body fat indexes and hypertension levels by quantitative CT (QCT) study. Methods: A total of 1488 participants from "prospective urban-rural epidemiology (PURE) study" were enrolled. The participants' age were from 42 to 82 years; based on blood pressure (BP) they were divided into 2 groups: Non-hypertension group, n=783 and Hypertension group, n=705. QCT fat measurement software was used to examine L2 level abdominal visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT); body mass index (BMI), waist circumferences (WC), hip circumferences (HC) and waist-to-height ratio (WHtR) were measured and calculated; liner Logistic regression analysis and 2-classified Logistic analysis were conducted to study the relationships between hypertension and anthropometric indices, abdominal VAT, SAT respectively. Results: Compared with Non-hypertension group, Hypertension group had increased BMI, WC, HC, WHtR, abdominal VAT and SAT, P<0.05. BMI, WC, HC, WHtR, abdominal VAT and SAT were related to both systolic BP (SBP) and diastolic BP (DBP), P<0.05. Multivariable Logistic regression analysis indicated that WHtR, abdominal VAT, SAT were the independent impact factors of SBP and WC, abdominal VAT were the independent impact factors of DBP; further investigation showed that abdominal VAT and WC were the independent impact factors of hypertension. Conclusions: Abdominal VAT was robustly related to hypertension in Chinese population, it might be helpful for risk stratification in hypertension patients.