Identifying metabolic syndrome in migrant Asian Indian adults with anthropometric and visceral fat action points.

ABSTRACT:

Background

Metabolic syndrome (MetS) is a clustering of metabolic risk factors, including large waist circumference (WC). Other anthropometric parameters and visceral fat mass (VFM) predicted from these may improve MetS detection. Our aim was to assess the ability of such parameters to predict this clustering in a cross-sectional, diagnostic study.

Method

Participants were 82 males and 86 females, aged 20-74 years, of Asian Indian ethnicity. VFM was estimated by dual-energy X-ray absorptiometry (DXA) through identification of abdominal subcutaneous fat layer boundaries. Non-anthropometric metabolic risk factors (triglycerides, HDL cholesterol, blood pressure and glucose) were defined using MetS criteria. We estimated the ability of anthropometry and VFM to detect ≥ 2 of thes

SUBMITTER: Sluyter JD 

PROVIDER: S-EPMC9284905 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature