4.0 Article

Utilization of BIA-Derived Bone Mineral Estimates Exerts Minimal Impact on Body Fat Estimates via Multicompartment Models in Physically Active Adults

Journal

JOURNAL OF CLINICAL DENSITOMETRY
Volume 21, Issue 4, Pages 541-549

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jocd.2018.02.003

Keywords

Bioelectrical impedance analysis; body fat percentage; fat mass; fat-free mass; multicompartment models

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The purpose of this study was to compare body fat estimates and fat-free mass (FFM) characteristics produced by multicompartment models when utilizing either dual energy X-ray absorptiometry (DXA) or single frequency bioelectrical impedance analysis (SF-BIA) for bone mineral content (BMC) in a sample of physically active adults. Body fat percentage (BF%) was estimated with 5-compartment (5C), 4-compartment (4C), 3-compartment (3C), and 2-compartment (2C) models, and DXA. The 5C-Wang with DXA for BMC (i.e., 5C-Wang(DxA)) was the criterion. SC-Wang using SF-BIA for BMC (i.e., 5C-Wang(BIA)), 4C-Wang(DxA) (DXA for BMC), 4C-Wang(BIA) (BIA for BMC), and 3C-Siri all produced values similar to 5C-Wang(DxA) (r > 0.99; total error [TE] < 0.83%; standard error of estimate < 0.67%; 95% limits of agreement [LOAs] <+/-1.35%). The 2C models (2C-Pace, 2C-Siri, and 2C-Brozek) and DXA each produced similar standard error of estimate and 95% LOAs (2.13%-3.12% and +/-4.15%-6.14%, respectively). Furthermore, 3C-Lohman(DxA) (underwater weighing for body volume and DXA for BMC) and 3C-Lohman(BlA) (underwater weighing for body volume and SF-BIA for BMC) produced the largest 95% LOAs (+/-5.94%-8.63%). The FFM characteristics (i.e., FFM density, water/FFM, mineral/FFM, and protein/FFM) for 5C-Wang(DXA) and 5C-Wang(BIA) were each compared with the reference body cadavers of Brozek et al. 5C-WangmA FFM density differed significantly from the reference body in women (1.103 +/- 0.007 g/cm(3); p < 0.001), but no differences were observed for 5C-Wang(DXA) or either 5C model in men. Moreover, water/FFM and mineral/FFM were significantly lower in men and women when comparing 5C-Wang(DXA) and 5C-Wan(BIA) with the reference body, whereas protein/FFM was significantly higher (all p <= 0.001). 3C-Lohman(BIA) and 3C-Lohman(DXA) produced error similar to 2C models and DXA and are therefore not recommended multicompartment models. Although more advanced multicompartment models (e.g., 4C-Wang and SC-Wang) can utilize BIA-derived BMC with minimal impact on body fat estimates, the increased accuracy of these models over 3C-Siri is minimal.

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