Predictive value of relative fat mass algorithm for incident hypertension: a 6-year prospective study in Chinese population.

ABSTRACT:

Objectives

Individuals with obesity especially excessive visceral adiposity have high risk for incident hypertension. Recently, a new algorithm named relative fat mass (RFM) was introduced to define obesity. Our aim was to investigate whether it can predict hypertension in Chinese population and to compare its predictive power with traditional indices including body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR).

Design

A 6-year prospective study.

Setting

Nine provinces (Hei Long Jiang, Liao Ning, Jiang Su, Shan Dong, He Nan, Hu Bei, Hu Nan, Guang Xi and Gui Zhou) in China.

Participants

Those without hypertension in 2009 survey and respond in 2015 survey.

Intervention

Logistic regression were performed to investigate the asso

SUBMITTER: Yu P 

PROVIDER: S-EPMC7569915 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature