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Prediction of fat-free mass in young children using bioelectrical impedance spectroscopy

Prediction of fat-free mass in young children using bioelectrical impedance spectroscopy
Prediction of fat-free mass in young children using bioelectrical impedance spectroscopy

Background: bioimpedance devices are practical for measuring body composition in preschool children, but their application is limited by the lack of validated equations.

Objectives: to develop and validate fat-free mass (FFM) bioimpedance prediction equations among New Zealand 3.5-year-olds, with dual-energy X-ray absorptiometry (DXA) as the reference method.

Methods: bioelectrical impedance spectroscopy (SFB7, ImpediMed) and DXA (iDXA, GE Lunar) measurements were conducted on 65 children. An equation incorporating weight, sex, ethnicity, and impedance was developed and validated. Performance was compared with published equations and mixture theory prediction.

Results: the equation developed in ~70% (n=45) of the population (FFM [kg] = 1.39 + 0.30 weight [kg] + 0.39 length2/resistance at 50 kHz [cm2/Ω] + 0.30 sex [M=1/F=0] + 0.28 ethnicity [1=Asian/0=non-Asian]) explained 88% of the variance in FFM and predicted FFM with a root mean squared error of 0.39 kg (3.4% of mean FFM). When internally validated (n=20), bias was small (40 g, 0.3% of mean FFM), with limits of agreement (LOA) ±7.6% of mean FFM (95% LOA: -0.82, 0.90 kg). Published equations evaluated had similar LOA, but with marked bias (>12.5% of mean FFM) when validated in our cohort, likely due to DXA differences. Of mixture theory methods assessed, the SFB7 inbuilt equation with personalized body geometry values performed best. However, bias and LOA were larger than with the empirical equations (-0.43 kg [95% LOA: -1.65, 0.79], p<0.001).

Conclusions: we developed and validated a bioimpedance equation that can accurately predict FFM. Further external validation of the equation is required.
0954-3007
Lyons-Reid, Jaz
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Ward, Leigh C.
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Derraik, José G.B.
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Tint, Mya Thway
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Monnard, Cathriona R.
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Ramos Nieves, Jose M.
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Albert, Benjamin B.
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Kenealy, Timothy
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Godfrey, Keith M.
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Chan, Shiao-Yng
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Cutfield, Wayne S.
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Lyons-Reid, Jaz
0cf7e7b8-ffe9-4ef5-ba37-56b571eaa926
Ward, Leigh C.
68d08d29-e7dd-4ac5-b14c-0fdb9bab70d9
Derraik, José G.B.
006119b3-8592-4cf9-975d-1bd34583f669
Tint, Mya Thway
3aaf54db-4dbd-4d6b-90ae-440a18e381ef
Monnard, Cathriona R.
7e35577b-d179-423d-b5a7-c386d290c661
Ramos Nieves, Jose M.
84cce1a1-9bf2-4d1e-87a5-a21e2f2bd075
Albert, Benjamin B.
c2bf4926-6214-421d-b187-91c83966effc
Kenealy, Timothy
c032e16b-65a8-4156-bc79-422f6c0e7079
Godfrey, Keith M.
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Chan, Shiao-Yng
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Cutfield, Wayne S.
a01589bd-5b82-49fa-89e1-137e6f59e24d

Lyons-Reid, Jaz, Ward, Leigh C., Derraik, José G.B., Tint, Mya Thway, Monnard, Cathriona R., Ramos Nieves, Jose M., Albert, Benjamin B., Kenealy, Timothy, Godfrey, Keith M., Chan, Shiao-Yng and Cutfield, Wayne S. (2023) Prediction of fat-free mass in young children using bioelectrical impedance spectroscopy. European Journal of Clinical Nutrition. (In Press)

Record type: Article

Abstract


Background: bioimpedance devices are practical for measuring body composition in preschool children, but their application is limited by the lack of validated equations.

Objectives: to develop and validate fat-free mass (FFM) bioimpedance prediction equations among New Zealand 3.5-year-olds, with dual-energy X-ray absorptiometry (DXA) as the reference method.

Methods: bioelectrical impedance spectroscopy (SFB7, ImpediMed) and DXA (iDXA, GE Lunar) measurements were conducted on 65 children. An equation incorporating weight, sex, ethnicity, and impedance was developed and validated. Performance was compared with published equations and mixture theory prediction.

Results: the equation developed in ~70% (n=45) of the population (FFM [kg] = 1.39 + 0.30 weight [kg] + 0.39 length2/resistance at 50 kHz [cm2/Ω] + 0.30 sex [M=1/F=0] + 0.28 ethnicity [1=Asian/0=non-Asian]) explained 88% of the variance in FFM and predicted FFM with a root mean squared error of 0.39 kg (3.4% of mean FFM). When internally validated (n=20), bias was small (40 g, 0.3% of mean FFM), with limits of agreement (LOA) ±7.6% of mean FFM (95% LOA: -0.82, 0.90 kg). Published equations evaluated had similar LOA, but with marked bias (>12.5% of mean FFM) when validated in our cohort, likely due to DXA differences. Of mixture theory methods assessed, the SFB7 inbuilt equation with personalized body geometry values performed best. However, bias and LOA were larger than with the empirical equations (-0.43 kg [95% LOA: -1.65, 0.79], p<0.001).

Conclusions: we developed and validated a bioimpedance equation that can accurately predict FFM. Further external validation of the equation is required.

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3.5 y BIA eq_final_20221109_EurJClinNutr_accepted - Accepted Manuscript
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Accepted/In Press date: 17 July 2023

Identifiers

Local EPrints ID: 479927
URI: http://eprints.soton.ac.uk/id/eprint/479927
ISSN: 0954-3007
PURE UUID: 3725e86d-79d0-4e81-8615-72680a39d124
ORCID for Keith M. Godfrey: ORCID iD orcid.org/0000-0002-4643-0618

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Date deposited: 28 Jul 2023 16:53
Last modified: 18 Mar 2024 02:38

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Contributors

Author: Jaz Lyons-Reid
Author: Leigh C. Ward
Author: José G.B. Derraik
Author: Mya Thway Tint
Author: Cathriona R. Monnard
Author: Jose M. Ramos Nieves
Author: Benjamin B. Albert
Author: Timothy Kenealy
Author: Shiao-Yng Chan
Author: Wayne S. Cutfield

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