Body Composition

Comparing body composition techniques against an adapted multicompartment model in individuals with excess body weight.

TL;DR

ADP demonstrated the best overall accuracy against a 4-compartment model in individuals with excess body weight, while both BIA and DXA overestimated body fat percentage, with substantial individual-level variability of up to 5% error highlighting caution for clinical use.

Key Findings

ADP demonstrated the smallest overall difference in body fat percentage compared to the 4-compartment model.

  • ADP mean difference was 0.10% ± 1.70% BF% (LoA [-3.23, 3.43], P = 0.620)
  • The non-significant p-value indicates ADP did not systematically differ from the 4C model at the group level
  • ADP accuracy reduced specifically in individuals with obesity (BMI ≥30 kg/m²)
  • Study included N = 75 participants: overweight (n = 56, BMI 25-29.9 kg/m²) and obesity (n = 19, BMI ≥30 kg/m²)

BIA systematically overestimated body fat percentage compared to the 4-compartment model.

  • BIA mean difference was 1.73% ± 1.72% BF% (LoA [-1.52, 4.98], P < 0.001)
  • The statistically significant overestimation indicates a systematic bias at the group level
  • BIA-derived total body water was suspected to be overestimated, which would inflate 4C-derived fat-free mass and affect the comparison
  • BIA was also used as the source of total body water measurement within the adapted 4C model itself

DXA overestimated body fat percentage compared to the 4-compartment model and showed the greatest differences of all methods tested.

  • DXA mean difference was 1.86% ± 1.79% BF% (LoA [-1.65, 5.37], P < 0.001)
  • DXA had the greatest differences compared to the 4C model among all three methods evaluated
  • DXA bone mineral content was used as a component input in the adapted 4C model
  • The overestimation was statistically significant (P < 0.001)

All methods demonstrated strong agreement at the group level but substantial individual-level variability of up to 5% error.

  • Individual-level variability reached up to 5% error across methods
  • Limits of agreement ranged as wide as [-3.23, 3.43] for ADP and [-1.65, 5.37] for DXA
  • The authors highlight the need for caution when interpreting results in clinical or personalized assessment contexts
  • This variability is noted specifically in the context of individuals with excess body weight

An adapted 4-compartment model was used as the reference standard, incorporating measurements from multiple devices.

  • The 4C model incorporated body mass, body volume (via ADP), bone mineral content (via DXA), and total body water (via BIA)
  • This adapted 4C model served as the criterion method against which ADP, BIA, and DXA were individually evaluated
  • Accuracy was assessed as mean differences ± standard deviation (comparator - 4C) and 95% limits of agreement (LoA)
  • The use of BIA for TBW within the 4C model is acknowledged as a potential limitation if BIA overestimates TBW

Many body composition measurement techniques lose accuracy in individuals with higher BMI, motivating this study's focus on overweight and obese populations.

  • Accurate body composition assessment is described as critical for detecting individuals at increased health risk from excess adiposity
  • The study specifically recruited participants with overweight (BMI 25–29.9 kg/m²) or obesity (BMI ≥30 kg/m²)
  • ADP accuracy was specifically noted to reduce in the obesity subgroup (n = 19)
  • The paper identifies excess body weight as a context requiring particular caution in interpreting body composition results

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Citation

Montenegro J, Bennett J, Oliveira C, Berg A, Sharma A, Mereu L, et al.. (2026). Comparing body composition techniques against an adapted multicompartment model in individuals with excess body weight.. Nutrition (Burbank, Los Angeles County, Calif.). https://doi.org/10.1016/j.nut.2025.113033