Evaluation of body fat changes during weight loss by using improved anthropometric predictive equations

Area of Science:

• Body Composition Analysis
• Weight Management Research
• Anthropometry

Background:

• Skinfold equations are common for estimating body fat (BF).
• Existing equations often report over- or underestimation issues.
• Accurate BF assessment is crucial for monitoring weight reduction interventions.

Purpose of the Study:

• To evaluate improved skinfold equations for estimating BF changes during weight reduction.
• To compare the accuracy of these improved equations against established methods.
• To assess the reliability of skinfold equations in tracking body composition shifts.

Main Methods:

• A 4-month weight reduction intervention was conducted with 44 overweight adults.
• Dual-energy X-ray absorptiometry (DXA) and anthropometric measurements were taken at baseline and post-intervention.
• Body fat percentage (BF%) was calculated using García, Peterson, and Durnin and Womersley (DW) equations.

Main Results:

• García and Peterson equations showed higher correlations with DXA-measured BF% at baseline and post-intervention compared to DW.
• García equation exhibited minimal overestimation error, while Peterson and DW equations showed increasing errors.
• Moderate correlations were found between DXA-measured and predicted BF changes (kg) across all tested skinfold equations.

Conclusions:

• Improved skinfold equations demonstrated limitations in accurately measuring body fat changes post-weight reduction.
• The study highlights the need for more precise methods to track body composition shifts during interventions.
• Current skinfold-based approaches may not be sufficiently sensitive for evaluating weight loss-induced body fat alterations.