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Related Concept Videos

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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Assessment of Child Anthropometry in a Large Epidemiologic Study
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Evolving perspectives on evaluating obesity: from traditional methods to cutting-edge techniques.

Heyue Wang1, Yaxin Qin1, Jinzhu Niu1

  • 1Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.

Annals of Medicine
|March 13, 2025
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Summary

Obesity assessment has evolved from simple measurements to advanced imaging. Lipid-based indicators and modern imaging offer more accurate insights into visceral obesity and metabolic risks than traditional methods.

Keywords:
Chinese visceral adiposity index (CVAI)Obesityanthropometrybody mass index (BMI)visceral adipose tissue (VAT)

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Area of Science:

  • Medical Science
  • Metabolic Health
  • Diagnostic Technologies

Background:

  • Obesity evaluation has traditionally relied on anthropometric indices like Body Mass Index (BMI).
  • Visceral adipose tissue (VAT) plays a critical role in metabolic diseases.
  • Limitations exist in traditional methods for assessing visceral adiposity and associated risks.

Purpose of the Study:

  • To review the evolution of obesity evaluation methods.
  • To compare the clinical utility and limitations of various assessment techniques.
  • To explore personalized assessment of visceral adiposity and metabolic risks.

Main Methods:

  • Literature review of anthropometric indices (BMI, WC, WHR, WHtR, NC).
  • Analysis of lipid-related metrics (LAP, VAI, CVAI, mBMI).
  • Evaluation of imaging technologies (3D scanning, BIA, ultrasound, DXA, CT, MRI) and adipocyte biology.

Main Results:

  • Anthropometric measurements are still guideline-based but have limitations.
  • Lipid metabolism indicators offer more accurate reflection of visceral obesity and metabolic disease links.
  • Advanced imaging (ultrasound, CT) provides intuitive assessment of visceral obesity extent.

Conclusions:

  • Lipid-based indicators and advanced imaging surpass traditional methods for visceral obesity assessment.
  • Personalized assessment of metabolic risks associated with visceral adiposity is enhanced by newer techniques.
  • The evolution of obesity evaluation methods supports more precise clinical decision-making.