Evidence map›Paper›PMID 28990589›Full record

ArticleInternational journal of obesity (2005)2018

Which anthropometric measures best reflect neonatal adiposity?

L-W Chen, M-T Tint, M V Fortier, I M Aris, L P-C Shek, K H Tan, S-Y Chan, P D Gluckman, Y-S Chong, K M Godfrey and 4 more

Open access · greenAbstract read
In one paragraph

Article in International journal of obesity (2005), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
8.1field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Validity of non-traditional measures of obesity compared to total body fat across the life course: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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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

14 authors at 6 institutions in 4 countries.

L-W ChenDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
M-T TintDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
M V FortierDepartment of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore, Singapore.
I M ArisSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
L P-C ShekDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
K H TanDepartment of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore.
S-Y ChanDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
P D GluckmanSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.
Y-S ChongDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
K M GodfreyMRC Lifecourse Epidemiology Unit & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK.
V S RajaduraiDepartment of Neonatology, KK Women's and Children's Hospital, Singapore, Singapore.
F YapDuke-National University of Singapore Graduate Medical School, Singapore, Singapore.
M S KramerDepartment of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Y S LeeDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
National University of Singapore · SGKK Women's and Children's Hospital · SGAgency for Science, Technology and Research · SGMcGill University · CANIHR Southampton Biomedical Research Centre · GBSingapore Institute for Clinical Sciences · SG

Funding

British Heart Foundation RG/15/17/31749Medical Research Council MC_U147574222Medical Research Council MC_U147574226Medical Research Council MC_UP_A620_1017Medical Research Council MC_UU_12011/4Medical Research Council MR/J000094/1
6 · The paper itself

Abstract

backgroundStudying the determinants and the long-term consequences of fetal adipose accretion requires accurate assessment of neonatal body composition. In large epidemiological studies, in-depth body composition measurement methods are usually not feasible for cost and logistical reasons, and there is a need to identify anthropometric measures that adequately reflect neonatal adiposity.

methodsIn a multiethnic Asian mother-offspring cohort in Singapore, anthropometric measures (weight, length, abdominal circumference, skinfold thicknesses) were measured using standardized protocols in newborn infants, and anthropometric indices (weight/length, weight/length

resultsStudy neonates (n=251) had a mean (s.d.) age of 10.2 (2.5) days. Correlations between ADP-based fat mass (ADP

conclusionsSimple anthropometric measures (weight and weight/length) correlated strongly with neonatal adiposity, with some evidence for greater discriminative power for skinfold measures. These simple measures could be of value in large epidemiological studies.

Indexed as

AdiposityAnthropometryCohort StudiesFemaleHumansInfant, NewbornMagnetic Resonance ImagingMalePlethysmographySingaporeSkinfold Thickness

Identifiers

PMID28990589
PMCPMC5862425
OpenAlexW2761262936

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.