Metabolic syndrome prediction based on body composition indices

Fat mass %, muscle mass %, FMI, BMI, and WHR could be used as predictors of MetS in Jordanian females, while the fat-to-muscle ratio was not. We suggested that more extensive sample size studies from both genders and different age categories are necessary to develop a superior predictor for MetS in Jordan.

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Publication Details

Journal
Journal of the Egyptian Public Health Association
Published
2024-12-22
DOI
https://doi.org/10.1186/s42506-024-00181-9
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
0.00

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article

Metabolic syndrome prediction based on body composition indices

Aliaa Orabi, Buthaina Alkhatib, Lana M. Agraib, Islam Al‐Shami
Journal of the Egyptian Public Health Association
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Metabolic syndrome prediction based on body composition indices

Aliaa Orabi, Buthaina Alkhatib, Lana M. Agraib, Islam Al‐Shami
article en

Abstract

Fat mass %, muscle mass %, FMI, BMI, and WHR could be used as predictors of MetS in Jordanian females, while the fat-to-muscle ratio was not. We suggested that more extensive sample size studies from both genders and different age categories are necessary to develop a superior predictor for MetS in Jordan.

Journal of the Egyptian Public Health AssociationVol. 99(1)
University of Jordan (JO), Zarqa University (JO), Hashemite University (JO), Al-Balqa Applied University (JO)
Hashemite University
Gender equality
Openalex Percentile: Top 63%
Diabetes, Cardiovascular Risks, and Lipoproteins
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