ABDOMINAL SUBCUTANEOUS FAT THICKNESS MEASURED BY ULTRASOUND AS A PREDICTOR OF TOTAL FAT MASS IN YOUNG- AND...

Area of Science:

• Body Composition Analysis
• Medical Imaging Techniques
• Biometrics

Background:

• Accurate estimation of total body fat mass is crucial for health assessment.
• Current methods often involve multiple measurements or complex procedures.
• Investigating single-site ultrasound for fat mass prediction remains underexplored.

Purpose of the Study:

• To develop regression-based prediction equations for total fat mass using abdominal subcutaneous fat thickness.
• To validate the accuracy and agreement of these novel predictive equations.
• To assess the utility of abdominal subcutaneous fat thickness as a sole predictor of body fat mass.

Main Methods:

• Cross-sectional study design involving 45 participants (27 males, 18 females).
• Total body fat mass determined using dual-energy X-ray absorptiometry (DXA).
• Linear regression analysis employed to create prediction equations from ultrasound-measured abdominal subcutaneous fat thickness; validation performed on a separate group.

Main Results:

• Prediction equations showed no significant difference between measured and estimated total fat mass in males (p=0.9) and females (p=0.5).
• High agreement was observed between measured and estimated fat mass, with Lin's concordance correlation coefficient (CCC) of 0.84 for males and 0.76 for females.
• The predictive equations demonstrated reliability in estimating total body fat mass.

Conclusions:

• Abdominal subcutaneous fat thickness measured via ultrasound can serve as a reliable predictor of total body fat mass.
• This single-site ultrasound approach offers a non-invasive, rapid, and potentially cost-effective method for body composition assessment.
• The developed equations provide a practical tool for estimating body fat in clinical and research settings.