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Estimation of fat-free mass in Asian neonates using bioelectrical impedance analysis

Estimation of fat-free mass in Asian neonates using bioelectrical impedance analysis
Estimation of fat-free mass in Asian neonates using bioelectrical impedance analysis
The aims of this study were to develop and validate a prediction equation of fat-free mass (FFM) based on bioelectrical impedance analysis (BIA) and anthropometry using air-displacement plethysmography (ADP) as a reference in Asian neonates and to test the applicability of the prediction equations in an independent Western cohort. A total of 173 neonates at birth and 140 at two weeks of age were included. Multiple linear regression analysis was performed to develop the prediction equations in a two-third randomly selected subset and validated on the remaining one-third subset at each time point and in an independent Queensland cohort. FFM measured by ADP was the dependent variable, and anthropometric measures, sex and impedance quotient (L2/R50) were independent variables in the model. Accuracy of prediction equations was assessed using intra-class correlation and Bland–Altman analyses. L2/R50 was the significant predictor of FFM at week two but not at birth. Compared with the model using weight, sex and length, including L2/R50 slightly improved the prediction with a bias of 0·01 kg with 2 sd limits of agreement (LOA) (0·18, ?0·20). Prediction explained 88·9 % of variation but not beyond that of anthropometry. Applying these equations to the Queensland cohort provided similar performance at the appropriate age. However, when the Queensland equations were applied to our cohort, the bias increased slightly but with similar LOA. BIA appears to have limited use in predicting FFM in the first few weeks of life compared with simple anthropometry in Asian populations. There is a need for population- and age-appropriate FFM prediction equations.
bioelectrical impedance analysis, air-displacement plethysmography, validation, asian neonates
0007-1145
1-10
Tint, M.T.
02d6a006-3b94-4328-b3c3-147a618d66c3
Ward, L.C.
85635506-49d2-4965-87b9-94ef3ed7e831
Soh, S.E.
00a5ad13-4c5b-4fad-aaa9-d080d9aa63e8
Aris, I.M.
ee15a46e-ead3-4b4a-a208-d39038a85480
Chinnadurai, A.
c218e5f8-7ba5-428e-a2f5-e8f894305403
Saw, S.M.
0684517e-f27e-49f0-98c3-7630e8fd1bbd
Gluckman, P.D.
492295c0-ef71-4871-ad5a-771c98e1059a
Godfrey, K.M.
0931701e-fe2c-44b5-8f0d-ec5c7477a6fd
Chong, Y.S.
b50c99c9-4d83-46c5-a1c7-23f9a553ab8a
Kramer, M.S.
89f86ceb-c49e-4402-a1e3-d79c406c178d
Yap, F.
2c155211-be02-4dd5-9528-16a714e77452
Lingwood, B.
85c9347d-1f63-4aad-99dc-d00c13ef3641
Lee, Y.S.
829a41bb-945c-49cd-ad12-0f3d9c2782c6
Tint, M.T.
02d6a006-3b94-4328-b3c3-147a618d66c3
Ward, L.C.
85635506-49d2-4965-87b9-94ef3ed7e831
Soh, S.E.
00a5ad13-4c5b-4fad-aaa9-d080d9aa63e8
Aris, I.M.
ee15a46e-ead3-4b4a-a208-d39038a85480
Chinnadurai, A.
c218e5f8-7ba5-428e-a2f5-e8f894305403
Saw, S.M.
0684517e-f27e-49f0-98c3-7630e8fd1bbd
Gluckman, P.D.
492295c0-ef71-4871-ad5a-771c98e1059a
Godfrey, K.M.
0931701e-fe2c-44b5-8f0d-ec5c7477a6fd
Chong, Y.S.
b50c99c9-4d83-46c5-a1c7-23f9a553ab8a
Kramer, M.S.
89f86ceb-c49e-4402-a1e3-d79c406c178d
Yap, F.
2c155211-be02-4dd5-9528-16a714e77452
Lingwood, B.
85c9347d-1f63-4aad-99dc-d00c13ef3641
Lee, Y.S.
829a41bb-945c-49cd-ad12-0f3d9c2782c6

Tint, M.T., Ward, L.C., Soh, S.E., Aris, I.M., Chinnadurai, A., Saw, S.M., Gluckman, P.D., Godfrey, K.M., Chong, Y.S., Kramer, M.S., Yap, F., Lingwood, B. and Lee, Y.S. (2016) Estimation of fat-free mass in Asian neonates using bioelectrical impedance analysis. British Journal of Nutrition, 1-10. (doi:10.1017/S0007114515005486). (PMID:26856420)

Record type: Article

Abstract

The aims of this study were to develop and validate a prediction equation of fat-free mass (FFM) based on bioelectrical impedance analysis (BIA) and anthropometry using air-displacement plethysmography (ADP) as a reference in Asian neonates and to test the applicability of the prediction equations in an independent Western cohort. A total of 173 neonates at birth and 140 at two weeks of age were included. Multiple linear regression analysis was performed to develop the prediction equations in a two-third randomly selected subset and validated on the remaining one-third subset at each time point and in an independent Queensland cohort. FFM measured by ADP was the dependent variable, and anthropometric measures, sex and impedance quotient (L2/R50) were independent variables in the model. Accuracy of prediction equations was assessed using intra-class correlation and Bland–Altman analyses. L2/R50 was the significant predictor of FFM at week two but not at birth. Compared with the model using weight, sex and length, including L2/R50 slightly improved the prediction with a bias of 0·01 kg with 2 sd limits of agreement (LOA) (0·18, ?0·20). Prediction explained 88·9 % of variation but not beyond that of anthropometry. Applying these equations to the Queensland cohort provided similar performance at the appropriate age. However, when the Queensland equations were applied to our cohort, the bias increased slightly but with similar LOA. BIA appears to have limited use in predicting FFM in the first few weeks of life compared with simple anthropometry in Asian populations. There is a need for population- and age-appropriate FFM prediction equations.

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Accepted/In Press date: 21 December 2015
e-pub ahead of print date: 9 February 2016
Keywords: bioelectrical impedance analysis, air-displacement plethysmography, validation, asian neonates
Organisations: Faculty of Medicine

Identifiers

Local EPrints ID: 387235
URI: http://eprints.soton.ac.uk/id/eprint/387235
ISSN: 0007-1145
PURE UUID: a5961961-eece-47ca-b27c-2b5f57ec75b2
ORCID for K.M. Godfrey: ORCID iD orcid.org/0000-0002-4643-0618

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Date deposited: 16 Feb 2016 16:51
Last modified: 07 Oct 2020 01:35

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Contributors

Author: M.T. Tint
Author: L.C. Ward
Author: S.E. Soh
Author: I.M. Aris
Author: A. Chinnadurai
Author: S.M. Saw
Author: P.D. Gluckman
Author: K.M. Godfrey ORCID iD
Author: Y.S. Chong
Author: M.S. Kramer
Author: F. Yap
Author: B. Lingwood
Author: Y.S. Lee

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