The Association between Anthropometry Indices and Serum Concentrations of Gamma-Glutamyl Transferase, Alkaline Phosphatase, Alanine Aminotransferase, and Aspartate Aminotransferase

Author:

Sobhani Sahar1ORCID,Aryan Reihaneh2ORCID,AkbariRad Mina3ORCID,Ebrahimi Miandehi Elahe4ORCID,Alinezhad-Namaghi Maryam5ORCID,Sobhani Seyyed Reza5ORCID,Raji Sara1ORCID

Affiliation:

1. Persian Cohort Research Center, Mashhad University of Medical Sciences, Mashhad, Iran

2. Clinical Research Development Unit, Imam Reza Hospital, Mashhad University of Medical Sciences, Mashhad, Iran

3. Department of Internal Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

4. Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

5. Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Iran

Abstract

Background. Nowadays, metabolic syndrome (MetS) has become a great public health crisis that threatens too many lives worldwide. Many previous studies have been investigated the association between MetS and anthropometric indices. This study is aimed at investigating the association between anthropometric indices with gamma-glutamyl transferase (GGT), alkaline phosphatase (ALP), alanine aminotransferase (ALT), and aspartate aminotransferase (AST). We were using data from a large population-based cohort of seemingly healthy women and men. Methods. A total of 7216 participants were included in this study. The serum levels of GGT, ALP, ALT, and AST with bioimpedance measures were obtained at the time of enrollment. Multiple regression analysis was performed to assess the relationship between anthropometric indices and serum levels of the aforementioned laboratory tests. Results. Serum levels of GGT, ALP, ALT, and AST significantly correlated with body mass index (BMI). Only ALP had a significant association with visceral fat area (VFA). AST, ALT, and ALP levels had a positive correlation with 50 kHz whole-body phase. Conclusion. From the findings of this study, body mass index consistently appeared a good predictor of elevated hepatic enzymes and triglycerides. Thus, it can be helpful in clinical settings to identify patients at risk of nonalcoholic fatty liver disease, which is closely related to metabolic syndrome.

Funder

Mashhad University of Medical Sciences

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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