Evidence map›Paper›PMID 40878792›Full record

ArticlePediatric obesity2025

Development and Application of Children's Sex- and Age-Specific Fat-Mass and Muscle-Mass Reference Curves From Dual-Energy X-Ray Absorptiometry Data for Predicting Cardiometabolic Risk.

Stephanie Tanasia Saputra, Andraea Van Hulst, Mélanie Henderson, Simone Brugiapaglia, Claudia Faustini, Lisa Kakinami

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Article in Pediatric obesity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Stephanie Tanasia SaputraDepartment of Mathematics and Statistics, Concordia University, Quebec, Canada.ORCID https://orcid.org/0009-0000-6244-9805
Andraea Van HulstIngram School of Nursing, McGill University, Quebec, Canada.ORCID https://orcid.org/0000-0002-5743-4876
Mélanie HendersonCentre de Recherche CHU Sainte-Justine, Université de Montréal, Quebec, Canada.ORCID https://orcid.org/0000-0002-0102-2389
Simone BrugiapagliaDepartment of Mathematics and Statistics, Concordia University, Quebec, Canada.
Claudia FaustiniDepartment of Mathematics and Statistics, Concordia University, Quebec, Canada.
Lisa KakinamiDepartment of Mathematics and Statistics, Concordia University, Quebec, Canada.ORCID https://orcid.org/0000-0002-8496-7643

Funding

CIHR MOP-119512CIHR MOP-97853CIHR NMD-94067CIHR OHF69442Fonds de Recherche du Québec - SantéHeart and Stroke Foundation of Canada PG-040291Université de Montréal
6 · The paper itself

Abstract

backgroundA dual-energy x-ray absorptiometry (DXA)-derived phenotype classification based on fat mass and muscle mass has been developed for adults. We extended this to a paediatric population.

methodsChildren's (≤ 17 years) DXA data in NHANES (n = 6120) were used to generate sex- and age-specific deciles of appendicular skeletal muscle mass index and fat mass index with the Lambda Mu Sigma method. Four phenotypes (high [H] or low [L], adiposity [A] and muscle mass [M]: HA-HM, HA-LM, LA-HM, LA-LM) were identified based on being above/below the median compared to same-sex and same-age peers. These reference curves were applied to the QUALITY cohort (n = 630, 8-10 years of age in 2005) to assess whether the phenotypes correctly identified cardiometabolic risk at baseline, follow-up (2008-2010), and their longitudinal changes. Multiple linear regression models were adjusted for age, sex, and Tanner's stage.

resultsCompared to the LA-HM reference group, the HA-HM phenotype was associated with less favourable HDL, triglycerides, and HOMA-IR at baseline and first follow-up, but not in their changes. The HA-LM phenotype was associated with less favourable HOMA-IR at baseline and first follow-up.

conclusionsResults suggest that phenotypes based on fat and muscle mass may have clinical utility in children and should be further investigated.

Indexed as

Absorptiometry, PhotonAdipose TissueAdiposityCardiovascular DiseasesMuscle, SkeletalPediatric ObesityAdolescentAge FactorsBody CompositionBody Mass IndexCardiometabolic Risk FactorsChildFemaleHumansMaleNutrition Surveysadipositycardiometabolic riskdual‐energy x‐ray absorptiometryreference curvesyouth

Identifiers

PMID40878792
PMCPMC12590095

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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.