Anthropometric Data by Using Bioelectrical Analysis as a Parameters for New Classification and Definition of Obesity.

Our study highlights a high prevalence of obesity among the examined individuals in primary care settings in B&H, with abdominal obesity being the most common type. This phenotype is strongly associated with metabolic complications. BIA-derived parameters of fat distribution and visceral fat mass may serve as valuable tools for improving obesity classification and developing more effective preventive and therapeutic strategies.

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Publication Details

Journal
PubMed
Published
2025-01-01
DOI
https://doi.org/10.5455/msm.2024.37.11-17
Citations
1
Primary Topic
Body Composition Measurement Techniques
Type
article
Field-Weighted Citation Impact
1.16
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article

Anthropometric Data by Using Bioelectrical Analysis as a Parameters for New Classification and Definition of Obesity.

Slobodan Јаnkovic, Muharem Zildžić, Nizama Salihefendić, Izet Mašić
1 citations
PubMed
Body Composition Measurement Techniques
1.16
article

Anthropometric Data by Using Bioelectrical Analysis as a Parameters for New Classification and Definition of Obesity.

Slobodan Јаnkovic, Muharem Zildžić, Nizama Salihefendić, Izet Mašić
article en
1 citations

Abstract

Our study highlights a high prevalence of obesity among the examined individuals in primary care settings in B&H, with abdominal obesity being the most common type. This phenotype is strongly associated with metabolic complications. BIA-derived parameters of fat distribution and visceral fat mass may serve as valuable tools for improving obesity classification and developing more effective preventive and therapeutic strategies.

PubMedVol. 37(1)
University of Sarajevo (BA), University of Kragujevac (RS), University of Zenica (BA), Academy of Sciences and Arts of Bosnia and Herzegovina (BA), Academy of Medical Sciences of Bosnia and Herzegovina (BA), Clinical Centre of Kragujevac (RS)
Openalex Percentile: Top 25%
Body Composition Measurement Techniques
1.16
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