Evidence map›Paper›PMID 26856420›Full record

ArticleThe British journal of nutrition2016

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

Mya-Thway Tint, Leigh C Ward, Shu E Soh, Izzuddin M Aris, Amutha Chinnadurai, Seang Mei Saw, Peter D Gluckman, Keith M Godfrey, Yap-Seng Chong, Michael S Kramer and 3 more

Open access · bronzeAbstract readMulticenter StudyValidation Study
In one paragraph

Article in The British journal of nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Predictive models of newborn body composition: a systematic review.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2023
    Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Accuracy and reliability of bioelectrical impedance analysis for determining body composition among preterm infants.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2025
    Article
  7. Article
  8. Article
  9. Infant body composition: A comprehensive overview of assessment techniques, nutrition factors, and health outcomes.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Which anthropometric measures best reflect neonatal adiposity?International journal of obesity (2005) · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 10 institutions in 5 countries.

Mya-Thway Tint1Department of Obstetrics & Gynaecology,National University of Singapore,1E Kent Ridge Road,NUHS Tower Block,Level 12,Singapore,Singapore119228.
Leigh C Ward3School Chemistry and Molecular Biosciences,The University of Queensland,Brisbane,QLD 4072,Australia.
Shu E Soh4Brenner Centre for Molecular Medicine,Singapore Institute for Clinical Sciences (SICS),Agency for Science, Technology and Research (A*STAR),30 Medical Drive,Singapore,Singapore117609.
Izzuddin M Aris4Brenner Centre for Molecular Medicine,Singapore Institute for Clinical Sciences (SICS),Agency for Science, Technology and Research (A*STAR),30 Medical Drive,Singapore,Singapore117609.
Amutha Chinnadurai5Department of Neonatology,Khoo Teck Puat - National University Children's Medical Institute,National University Health System,5 Lower Kent Ridge Road,Singapore,Singapore119074.
Seang Mei Saw6Saw Swee Hock School of Public Health,Tahir Foundation Building,National University of Singapore,12 Science Drive 2,#10-01, Singapore,Singapore117549.
Peter D Gluckman4Brenner Centre for Molecular Medicine,Singapore Institute for Clinical Sciences (SICS),Agency for Science, Technology and Research (A*STAR),30 Medical Drive,Singapore,Singapore117609.
Keith M Godfrey8MRC Lifecourse Epidemiology Unit,NIHR Southampton Biomedical Research Centre,University of Southampton & University Hospital Southampton NHS Foundation Trust,Southampton General Hospital,MP 218,Tremona Road,Southampton SO16 6YD,UK.
Yap-Seng Chong1Department of Obstetrics & Gynaecology,National University of Singapore,1E Kent Ridge Road,NUHS Tower Block,Level 12,Singapore,Singapore119228.
Michael S Kramer9Departments of Pediatrics and of Epidemiology,Biostatistics and Occupational Health,McGill University Faculty of Medicine,Purvis Hall,1020 Pine Ave,West Montreal,QC H3A 1A2,Canada.
Fabian Yap10Department of Pediatric Endocrinology,KK Women's and Children's Hospital,100 Bukit Timah Road,Singapore,Singapore229899.
Barbara Lingwood12UQ Centre for Clinical Research,The University of Queensland,Royal Brisbane & Women's Hospital Campus,Building 71/918,Herston,QLD 4029,Australia.
Yung Seng Lee2Department of Pediatrics,Yong Loo Lin School of Medicine,National University of Singapore,1E Kent Ridge Road,NUHS Tower Block,Level 12,Singapore,Singapore119228.
Singapore Institute for Clinical Sciences · SGNational University of Singapore · SGAgency for Science, Technology and Research · SGKK Women's and Children's Hospital · SGMcGill University · CAMRC Lifecourse Epidemiology Unit · GBNational University Health System · SGRoyal Brisbane and Women's Hospital · AUUniversity of Auckland · NZUniversity of Queensland · AU

Funding

NCI CLINICAL INVESTIGATOR AWARD PROGRAMK08CA001017 · NCI · UNIVERSITY OF COLORADO DENVER · PI DRABKIN, HARRY ADOLPH · 1985 to 1987
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Arthritis Research UK 17702British Heart Foundation RG/07/009/23120Department of Health SOUDIBRU-2008-1Medical Research Council G0400491Medical Research Council MC_U147574222Medical Research Council MC_U147574226Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UP_A620_1017Medical Research Council MC_UU_12011/1Medical Research Council MC_UU_12011/4Medical Research Council MR/J000094/1
6 · The paper itself

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.

Indexed as

Child DevelopmentFetal DevelopmentModels, BiologicalMusculoskeletal DevelopmentAlgorithmsAsian PeopleBody CompositionCohort StudiesElectric ImpedanceFemaleFollow-Up StudiesHumansInfant, NewbornMalePlethysmography, Whole BodyProspective StudiesADP air-displacement plethysmographyAir-displacement plethysmographyAsian neonatesBIA bioelectrical impedance analysisBioelectrical impedance analysisFFA fat-free massFM fat massGUSTO Growing Up in Singapore Towards Healthy OutcomesL lengthLOA limits of agreementS sexTBW total body waterValidationW weight

Identifiers

PMID26856420
PMCPMC4820031
OpenAlexW2277738248

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.