Adapting a Prediction Rule for Metabolic Syndrome Risk Assessment Suitable for Developing Countries.

ABSTRACT: Background: Metabolic syndrome (MetS) is a cluster of cardiometabolic disturbances that increases the risk of cardiovascular diseases (CVD) and type 2 diabetes mellitus (DM). The early identification of high-risk individuals is the key for halting these conditions. The world is facing a growing epidemic MetS although the magnitude in Egypt is unknown. Objectives: To describe MetS and its determinants among apparently healthy individuals residing in urban and rural communities in Egypt and to establish a model for MetS prediction. Methods: A cross-sectional study was conducted with 270 adults from rural and urban districts in Alexandria, Egypt. Participants were clinically evaluated and interviewed for sociodemographic and lifestyle factors and dietary habits. MetS was

SUBMITTER: Abd El-Wahab EW 

PROVIDER: S-EPMC6822183 | biostudies-literature | 2019 Jan-Dec

REPOSITORIES: biostudies-literature