Developments in estimating visceral fat area from medical examination data.

Area of Science:

• Medical diagnostics
• Body composition analysis
• Preventive medicine

Background:

• Visceral fat area (VFA) is a key indicator of metabolic health.
• Accurate VFA estimation is crucial for identifying health risks.
• Current methods for VFA measurement can be invasive or complex.

Purpose of the Study:

• To develop a simple and accessible method for estimating visceral fat area (VFA).
• To utilize routine medical examination data for VFA prediction.
• To validate the accuracy of the developed estimation method.

Main Methods:

• Multiple regression analysis was employed to identify predictors of VFA.
• Data from 100 males, including computed tomography (CT) scans and medical examination results, were analyzed.
• The Bland & Altman method assessed agreement between CT-measured and estimated VFA.

Main Results:

• Waist-height ratio (WHtR) and triglyceride (TG) levels were significant predictors of VFA (r=0.910).
• The regression equation demonstrated high correlation (r=0.889) and strong cross-validation results.
• The method achieved high sensitivity (0.833) and specificity (0.900) for detecting VFA > 100 cm2.

Conclusions:

• WHtR and TG provide a simple and effective means to estimate VFA.
• This method offers a practical approach for assessing visceral adiposity using readily available medical data.
• The validated regression equation supports the use of this technique for clinical VFA estimation.