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Obesity01:24

Obesity

356
The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
356

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

Nizama Salihefendic1,2, Muharem Zildzic1,3, Izet Masic2,3,4

  • 1Polyclinic "MedicusA", Gracanica, Gracanica, Bosnia and Herzegovina.

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Summary

Obesity is rising globally, with over a quarter of adults in Bosnia and Herzegovina found to be obese, predominantly with abdominal obesity. Bioelectrical impedance analysis (BIA) offers a better way to assess body composition for improved health strategies.

Keywords:
Adipose TissueBioelectricalBosniaClinical ObesityHerzegovinaImpedance AnalysisObesity

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Area of Science:

  • Public Health
  • Anthropometry
  • Metabolic Health

Background:

  • Global rise in obesity and related conditions like metabolic-associated steatotic liver disease (MASLD) and sarcopenia.
  • Limitations of Body Mass Index (BMI) in assessing complex obesity.
  • Need for advanced body composition analysis, such as Bioelectrical Impedance Analysis (BIA), for better obesity phenotyping.

Purpose of the Study:

  • Analyze body composition using BIA in adults in Bosnia and Herzegovina.
  • Assess prevalence of total body weight, fat mass, fat distribution, and obesity types.
  • Establish reference values for improved public health strategies.

Main Methods:

  • Cross-sectional study of 4,628 adults (≥18 years) in Bosnia & Herzegovina (2021-2025).
  • Measured anthropometric parameters including BMI, body fat mass (BFM), fat-free mass (FFM), percent body fat (PBF), waist-hip ratio (WHR), and bone mineral content (BMC).
  • Data analyzed using SPSS, presented as medians and percentiles.

Main Results:

  • Over 25% of the study population is obese.
  • Abdominal obesity identified as the predominant obesity type.
  • Abdominal obesity phenotype linked to increased risk of metabolic syndrome and MASLD.

Conclusions:

  • High prevalence of obesity, particularly abdominal obesity, in Bosnian and Herzegovinian primary care settings.
  • Abdominal obesity strongly associated with metabolic complications.
  • BIA parameters are valuable for refining obesity classification and developing interventions.