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Dataset Information

Predicting value of five anthropometric measures in metabolic syndrome among Jiangsu Province, China.


ABSTRACT:

Background

Metabolic syndrome (MetS), a condition of metabolic disorders, is now causing large disease burden around the world. This study aimed to update the prevalence of MetS in Jiangsu Province of China and evaluate the predicting value of five anthropometric measures including waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), a body shape index (ABSI) and body roundness index (BRI) in MetS.

Methods

8040 participants from 12 survey sites were enrolled into this cross-sectional study by multi-stage stratified cluster random sampling method from 2014 nutrition and diet investigation project in Jiangsu Province. The transformation of sex-specific z-score made the comparison meaningful when conducting the logistic analysis between anthropometric

SUBMITTER: Tian T 

PROVIDER: S-EPMC7457352 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature