Evidence map›Paper›PMID 33524127›Full record

ArticleThe Journal of clinical endocrinology and metabolism2021

Cardiometabolic Profile of Different Body Composition Phenotypes in Children.

Yi Ying Ong, Jonathan Y Huang, Navin Michael, Suresh Anand Sadananthan, Wen Lun Yuan, Ling-Wei Chen, Neerja Karnani, S Sendhil Velan, Marielle V Fortier, Kok Hian Tan and 9 more

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

19 authors.

Yi Ying OngDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Jonathan Y HuangSingapore Institute for Clinical Sciences, Agency for Sciences, Technology, and Research, Singapore, Singapore.
Navin MichaelSingapore Institute for Clinical Sciences, Agency for Sciences, Technology, and Research, Singapore, Singapore.
Suresh Anand SadananthanSingapore Institute for Clinical Sciences, Agency for Sciences, Technology, and Research, Singapore, Singapore.
Wen Lun YuanDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Ling-Wei ChenSingapore Institute for Clinical Sciences, Agency for Sciences, Technology, and Research, Singapore, Singapore.
Neerja KarnaniSingapore Institute for Clinical Sciences, Agency for Sciences, Technology, and Research, Singapore, Singapore.
S Sendhil VelanSingapore Institute for Clinical Sciences, Agency for Sciences, Technology, and Research, Singapore, Singapore.
Marielle V FortierSingapore Institute for Clinical Sciences, Agency for Sciences, Technology, and Research, Singapore, Singapore.
Kok Hian TanDuke-NUS Medical School, Singapore, Singapore.
Peter D GluckmanSingapore Institute for Clinical Sciences, Agency for Sciences, Technology, and Research, Singapore, Singapore.
Fabian YapDuke-NUS Medical School, Singapore, Singapore.
Yap-Seng ChongSingapore Institute for Clinical Sciences, Agency for Sciences, Technology, and Research, Singapore, Singapore.
Keith M GodfreyMRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Mary F-F ChongSingapore Institute for Clinical Sciences, Agency for Sciences, Technology, and Research, Singapore, Singapore.
Shiao-Yng ChanSingapore Institute for Clinical Sciences, Agency for Sciences, Technology, and Research, Singapore, Singapore.
Yung Seng LeeDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Mya-Thway TintSingapore Institute for Clinical Sciences, Agency for Sciences, Technology, and Research, Singapore, Singapore.
Johan G ErikssonSingapore Institute for Clinical Sciences, Agency for Sciences, Technology, and Research, Singapore, Singapore.

Funding

British Heart Foundation RG/15/17/3174British Heart Foundation RG/15/17/31749Department of Health 17/63/154Department of Health IS-BRC-1215–20004Department of Health NF-SI-0515-10042Medical Research Council MC_PC_21000Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_UU_12011/4
6 · The paper itself

Abstract

contextCardiometabolic profiles of different body composition phenotypes are poorly characterized in young children, where it is well established that high adiposity is unfavorable, but the role of lean mass is unclear.

objectiveWe hypothesized that higher lean mass attenuates cardiometabolic risk in children with high fat mass.

methodsIn 6-year-old children (n = 377) from the Growing Up in Singapore Towards healthy Outcomes (GUSTO) prospective birth cohort, whole-body composition was measured by quantitative magnetic resonance, a novel validated technology. Based on fat mass index (FMI) and lean mass index (LMI), 4 body composition phenotypes were derived: low FMI-low LMI (LF-LL), low FMI-high LMI (LF-HL), high FMI-low LMI (HF-LL), high FMI-high LMI (HF-HL).

main outcome measuresBody mass index (BMI) z-score, fasting plasma glucose, insulin resistance, metabolic syndrome risk score, fatty liver index, and blood pressure.

resultsCompared with the LF-HL group, children in both high FMI groups had increased BMI z-score (HF-HL: 1.43 units 95% CI [1.11,1.76]; HF-LL: 0.61 units [0.25,0.96]) and metabolic syndrome risk score (HF-HL: 1.64 [0.77,2.50]; HF-LL: 1.28 [0.34,2.21]). The HF-HL group also had increased fatty liver index (1.15 [0.54,1.77]). Girls in HF-HL group had lower fasting plasma glucose (-0.29 mmol/L [-0.55,-0.04]) and diastolic blood pressure (-3.22 mmHg [-6.03,-0.41]) than girls in the HF-LL group. No similar associations were observed in boys.

conclusionIn a multi-ethnic Asian cohort, lean mass seemed to protect against some cardiometabolic risk markers linked with adiposity, but only in girls. The FMI seemed more important than lean mass index in relation to cardiometabolic profiles of young children.

Indexed as

AdiposityBody CompositionBody Mass IndexInsulin ResistanceAdultCardiovascular DiseasesChildCross-Sectional StudiesFemaleFollow-Up StudiesHumansInfant, NewbornMaleMetabolic SyndromeObesityPrognosisadiposityBody compositioncardiometabolicleanmetabolic syndrome

Identifiers

PMID33524127
PMCPMC7610678

What OpenQuestion holds

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Registered trials

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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.