The Validity of Body Adiposity Indices in Predicting Metabolic Syndrome and Its Components among Egyptian Women

Moushira Erfan Zaki; Sanaa Kamal; Hanaa Reyad; Walaa Yousef; Naglaa Hassan; Iman Helwa; Shams Kholoussi

doi:10.3889/oamjms.2016.036

Authors

Moushira Erfan Zaki Biological Anthropology Department, Medical Division, National Research Centre, Giza
Sanaa Kamal Biological Anthropology Department, Medical Division, National Research Centre, Giza
Hanaa Reyad Biological Anthropology Department, Medical Division, National Research Centre, Giza
Walaa Yousef Biological Anthropology Department, Medical Division, National Research Centre, Giza
Naglaa Hassan Biological Anthropology Department, Medical Division, National Research Centre, Giza
Iman Helwa Immunogenetics Department, Human Genetics and Genome Research Division, National Research, Centre, Giza
Shams Kholoussi Immunogenetics Department, Human Genetics and Genome Research Division, National Research, Centre, Giza

DOI:

https://doi.org/10.3889/oamjms.2016.036

Keywords:

Body adiposity, metabolic syndrome, women, validity

Abstract

AIM: To assess the associations between the body adiposity indices and risk of metabolic syndrome (MS) and its components in Egyptian women and to evaluate their predictive power.

MATERIALS AND METHODS: This was a cross-sectional analysis performed on 180 Egyptian women aged between 25-35 years. They were 90 women with MS diagnosed by International Diabetes Federation (IDF) and 90 healthy age matched controls. Body adiposity index (BAI), body mass index (BMI), waist to hip ratio (WHR) and waist to height ratio (WHtR) were calculated and serum samples were analyzed for metabolic parameters. Receiver operating characteristic curves (ROC) was used to determine the discriminatory capacity of BAI, WHR WHtR and BMI for MS.

RESULTS: Area under the curve (AUC) was highest for BIA, followed by WHR, WHtR and then BMI. All adiposity indices were significantly correlated with metabolic components and BAI had the highest correlation coefficients compared to other indices.

CONCLUSION: BAI is a practical predictor for MS and has satisfactory diagnostic accuracy for diagnosing MS among Egyptian women and can be used in addition to WHR, WHtR and BMI for identifying MS in the field studies.

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