Measurement of body composition changes with weight loss in postmenopausal women: comparison of methods

Abstract

Background: The accurate measurement of body composition changes is important when evaluating the efficacy of medical nutrition therapy and weight management programs, yet is not well documented in older women.

Objective: We compared methods of estimating energy-restriction-induced body composition changes in postmenopausal women.

Design: 27 women (59 +/- 8 y; BMI 29.0 +/- 2.9 kg/m2; mean +/- SD) completed a 9-wk energy restriction period (5233 kJ/d, (1250 kcal/d)). Changes in % body fat (delta%BF), fat mass (deltaFM), and fatfree mass (deltaFFM) were measured by hydrostatic weighing (HW), air-displacement plethysmography (ADP), dual-energy x-ray absorptiometry (DXA), and deuterium oxide dilution (D2O). The Baumgartner et al. (Am J Clin Nutr 53:1345-1353, 1991) four-compartment (4C) model with body volume from HW was the criterion method. The 4C model with body volume from ADP was also compared. Regression equations were developed based on 4CHW (dependent variable) utilizing results of change (POST-PRE) for each method.

Results: The women lost 6.8 +/- 3.2 kg; 9% of baseline weight. Based on 4CHW, the body composition changes were -2.4 +/- 4.5 delta%BF, -4.7 +/- 3.3 kg deltaFM, and -2.6 +/- 4.4 kg deltaFFM. No differences were detected by ANOVA for delta%BF, deltaFM, and deltaFFM among 4CHW, HW, ADP, DXA, D2O, and 4CADP. Bland-Altman limits of agreement showed differences between methods that ranged from 14.5 to -14.1 delta%BF, 7.8 to -8.1 kg deltaFM, and 7.5 to -8.4 kg deltaFFM for individuals. A bias was shown with 4CADP overestimating delta%BF (1.4 %) and FM (0.6 kg) and underestimating deltaFFM (-1.2 kg) compared to 4CHW. The regression model was acceptable for %BF (4CADP, 2CHW, and 2CD2O); FM and FFM (4CADP, 3CDXA, 2CHW, and 2CD2O), but not for other estimates of %BF, FM, FFM.

Conclusions: These body composition assessment methods may be used interchangeably to quantify changes in % body fat, fat mass, and fat-free mass with weight loss in groups of postmenopausal women. 4CADP overestimates delta%BF and underestimates deltaFFM. When utilizing one of these comparison methods (4CADP, 3CDXA, 2CHW, 2CD2O) to quantify changes in fat mass and fat-free mass for an individual postmenopausal woman, regression equations may be used to relate the data to 4CHW.

Figure 1

Relation between a) change in % body fat (Δ%BF) estimated by 4C_HW compared with 4C_ADP; b) delta difference (ΔΔ) against mean change (Δ) in %BF by 4C_HW compared with 4C_ADP;, c) Δ fat-free mass (FFM) estimated by 4C_HW compared with 4C_ADP; d) ΔΔFFM against ΔFFM by 4C_HW compared with 4C_ADP; e) Δ%BF estimated by 4C_HW compared with 3C_DXA; f) ΔΔ%BF against Δ%BF by 4C_HW compared with 3C_DXA; g) Δ%BF estimated by 4C_HW compared with 2C_HW; h) ΔΔ%BF against Δ%BF by 4C_HW compared with 2C_HW; i) Δ%BF estimated by 4C_HW compared with 2C_ADP; j) ΔΔ%BF against Δ%BF by 4C_HW compared with 2C_ADP; k) Δ%BF estimated by 4C_HW compared with 2C_D2O; l) ΔΔ%BF against Δ%BF by 4C_HW compared with 2C_D2O

Figure 1

Relation between a) change in % body fat (Δ%BF) estimated by 4C_HW compared with 4C_ADP; b) delta difference (ΔΔ) against mean change (Δ) in %BF by 4C_HW compared with 4C_ADP;, c) Δ fat-free mass (FFM) estimated by 4C_HW compared with 4C_ADP; d) ΔΔFFM against ΔFFM by 4C_HW compared with 4C_ADP; e) Δ%BF estimated by 4C_HW compared with 3C_DXA; f) ΔΔ%BF against Δ%BF by 4C_HW compared with 3C_DXA; g) Δ%BF estimated by 4C_HW compared with 2C_HW; h) ΔΔ%BF against Δ%BF by 4C_HW compared with 2C_HW; i) Δ%BF estimated by 4C_HW compared with 2C_ADP; j) ΔΔ%BF against Δ%BF by 4C_HW compared with 2C_ADP; k) Δ%BF estimated by 4C_HW compared with 2C_D2O; l) ΔΔ%BF against Δ%BF by 4C_HW compared with 2C_D2O