Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Correspondence
  • Published:

Comparison of air displacement plethysmography, dual-energy X-ray absorptiometry, and bioimpedance in 6-week-old and 6-month-old infants

Impact

  • Body composition estimates in infancy differ substantially depending on the tool used (ADP, DXA, or BIA) and on within-tool factors (e.g. DXA software version).

  • This study systematically compares three widely used infant body composition tools, demonstrating that the choice of tool and analysis approach can markedly affect the results.

  • These findings underscore the need for caution when comparing infant body composition measurements across studies or over time where a change in tool type has been required.

  • Standardized protocols and transparent reporting will be crucial for improving paediatric nutrition and growth assessments.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Bland–Altman plots comparing body composition methods in 6-week-old infants in New Zealand (average weight = 4.8 kg).
Fig. 2: Bland–Altman plots comparing body composition methods in 6-month-old infants in New Zealand (average weight = 7.5 kg).

Data availability

The data described in the manuscript, code book, and analytic code will not be available because the participants did not consent to open access data sharing. This is an ongoing longitudinal study in which further analyses will be conducted.

References

  1. Ellis, K. J. et al. Body-composition assessment in infancy: Air-displacement plethysmography compared with a reference 4-compartment model. Am. J. Clin. Nutr. 85, 90–95 (2007).

    Article  CAS  PubMed  Google Scholar 

  2. Heard-Lipsmeyer, M. E., Hull, H., Sims, C. R., Cleves, M. A. & Andres, A. Evaluating body composition in infancy and childhood: A comparison between 4c, Qmr, Dxa, and Adp. Pediatr. Obes. 15, e12617 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Lyons-Reid, J. et al. Prediction of fat-free mass in a multi-ethnic cohort of infants using bioelectrical impedance: Validation against the pea pod. Front Nutr. 9, 980790 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  4. Barbour, L. A. et al. Striking differences in estimates of infant adiposity by new and old dxa software, peapod and skin-folds at 2 weeks and 1 year of life. Pediatr. Obes. 11, 264–271 (2016).

    Article  CAS  PubMed  Google Scholar 

  5. Eriksson, B., Löf, M., Eriksson, O., Hannestad, U. & Forsum, E. Fat-free mass hydration in newborns: Assessment and implications for body composition studies. Acta Paediatr. 100, 680–686 (2011).

    Article  PubMed  Google Scholar 

  6. Godfrey, K. M., Cutfield, W., Chan, S. Y., Baker, P. N. & Chong, Y. S. Nutritional intervention preconception and during pregnancy to maintain healthy glucose metabolism and offspring health (“nipper”): study protocol for a randomised controlled trial. Trials 18, 131 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  7. Fomon, S. J., Haschke, F., Ziegler, E. E. & Nelson, S. E. Body composition of reference children from birth to age 10 years. Am. J. Clin. Nutr. 35, 1169–1175 (1982).

    Article  CAS  PubMed  Google Scholar 

  8. Butte, N. F., Hopkinson, J. M., Wong, W. W., Smith, E. O. & Ellis, K. J. Body composition during the first 2 years of life: An updated reference. Pediatr. Res. 47, 578–585 (2000).

    Article  CAS  PubMed  Google Scholar 

  9. Lyons-Reid, J. et al. Cross-calibration of two dual-energy X-ray absorptiometry devices for the measurement of body composition in young children. Sci. Rep. 12, 13862 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Matthie, J. R. Bioimpedance measurements of human body composition: Critical analysis and outlook. Expert Rev. Med. Devices 5, 239–261 (2008).

    Article  PubMed  Google Scholar 

  11. Bland, J. M. & Altman, D. G. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1, 307–310 (1986).

    Article  CAS  PubMed  Google Scholar 

  12. Lyons-Reid, J. et al. Claims of group-level accuracy for bioelectrical impedance analysis in paediatric obesity: A cautionary note. Nutrition Res. 142, 94–96 (2025).

  13. de Fluiter, K. S. et al. Longitudinal body composition assessment in healthy term-born infants until 2 years of age using Adp and Dxa with vacuum cushion. Eur. J. Clin. Nutr. 74, 642–650 (2020).

    Article  PubMed  Google Scholar 

  14. Watson, L. P. E., Venables, M. C. & Murgatroyd, P. R. An investigation into the differences in bone density and body composition measurements between 2 Ge lunar densitometers and their comparison to a 4-component model. J. Clin. Densitom. 20, 498–506 (2017).

    Article  PubMed  Google Scholar 

  15. Collins, C. T. et al. Prediction of body water compartments in preterm infants by bioelectrical impedance spectroscopy. Eur. J. Clin. Nutr. 67, S47–S53 (2013).

    Article  PubMed  Google Scholar 

  16. Ma, G. et al. Validation of a new pediatric air-displacement plethysmograph for assessing body composition in infants. Am. J. Clin. Nutr. 79, 653–660 (2004).

    Article  CAS  PubMed  Google Scholar 

  17. Lyons-Reid, J. et al. The influence of body position on bioelectrical impedance spectroscopy measurements in young children. Sci. Rep. 11, 10346 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgement

K.M.G. is supported by the National Institute for Health Research [NIHR Senior Investigator (NF-SI-0515-10042) and NIHR Southampton Biomedical Research Centre (IS-BRC-1215-20004)], and the European Union (Erasmus+ Programme ImpENSA 598488-EPP-1-2018-1-DE-EPPKA2-CBHE-JP). S.Y.C. is supported by a Singapore NMRC Clinician Scientist Award (NMRC/CSA-INV/0010/2016; MOH-CSAINV19nov-0002). W.S.C. is supported by A Better Start National Science Challenge Research Programme. Funding for aspects of the NiPPeR study has been provided by Société des Produits Nestlé S.A. under a Research Agreement with the University of Southampton, Auckland UniServices Ltd, SICS, National University Hospital Singapore PTE Ltd, and NUS. Public good funding for the investigator-led NiPPeR study is through the UK Medical Research Council (as part of an MRC award to the MRC Lifecourse Epidemiology Unit (MC_UU_12011/4)); the Singapore National Research Foundation, National Medical Research Council (NMRC, NMRC/TCR/012-NUHS/2014); the National University of Singapore (NUS) and the Agency of Science, Technology and Research as part of the Growth, Development and Metabolism Programme of the Singapore Institute for Clinical Sciences (SICS) (H17/01/a0/005); and as part of Gravida, a New Zealand Government Centre of Research Excellence. For the purpose of Open Access, the author has applied a Creative Commons Attribution (CC BY) license to any Author Accepted Manuscript version arising from this submission.

Author information

Authors and Affiliations

Authors

Contributions

K.M.G., S.Y.C., and W.S.C. led the NiPPeR trial conception and design, and supervised data collection and assimilation at each of the study sites. J.L., L.C.W., and M.T.T. prepared the body composition data for analysis. W.S.C., T.K., B.B.A., J.G.B.D., C.R.M., J.M.R.N., and J.L. planned the statistical analyses. J.L. compiled the data and carried out the statistical analyses. J.L. wrote the manuscript with critical input from all other authors. All authors have approved the final version of this manuscript and have agreed to be accountable for all aspects of this work.

Corresponding author

Correspondence to Wayne S. Cutfield.

Ethics declarations

Competing interests

L.C.W. provides consultancy services to ImpediMed Ltd (a manufacturer of devices for bioelectrical impedance analysis). ImpediMed Ltd was not involved in the inception and conduct of this research or in writing this manuscript. C.R.M. and J.M.R.N. are employees of Société des Produits Nestlé SA. K.M.G., S.Y.C., and W.S.C. are part of an academic consortium that has received grants from Société des Produits Nestlé S.A. All other authors declare no conflicts of interest.

Consent statement

The study was conducted in accordance with the Declaration of Helsinki and all procedures were approved by the Northern A Health and Disability Ethics Committee New Zealand (15/NTA/21). Written informed consent was obtained from the mothers of the participants.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lyons-Reid, J., Derraik, J.G.B., Ward, L.C. et al. Comparison of air displacement plethysmography, dual-energy X-ray absorptiometry, and bioimpedance in 6-week-old and 6-month-old infants. Pediatr Res (2025). https://doi.org/10.1038/s41390-025-04597-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Version of record:

  • DOI: https://doi.org/10.1038/s41390-025-04597-7

Search

Quick links