Evidence mapPaperPMID 40000415Full record

ArticleDiabetes, obesity & metabolism2025

External validation of a prediction model for estimating fat mass in Arab children and adolescents.

Tareq Al-Ati, Khalid El Kari, Lara Nasreddine, Hessa Al-Kandari, Richard D Riley, Peter H Whincup, Christopher G Owen, Mohammed T Hudda

Abstract readValidation Study
In one paragraph

Article in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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

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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

2 citing papers in PubMed.

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4 · The record

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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

8 authors.

Tareq Al-AtiFood and Nutrition Program, Environment and Life Sciences Research Institute Center, Kuwait Institute for Scientific Research, Safat, Kuwait.
Khalid El KariRDC-Nutrition, Centre National de l'Energie Des Sciences et Techniques Nucleaires, Ibn Tofaïl University, Kenitra, Morocco.
Lara NasreddineDepartment of Nutrition and Food Sciences, American University of Beirut, Beirut, Lebanon.
Hessa Al-KandariDepartment of Population Health, Dasman Diabetes Institute, Kuwait City, Kuwait.
Richard D RileySchool of Health Sciences, University of Birmingham, Birmingham, UK.
Peter H WhincupPopulation Health Research Institute, St George's School of Health & Medical Sciences, City St. George's University of London, London, UK.
Christopher G OwenPopulation Health Research Institute, St George's School of Health & Medical Sciences, City St. George's University of London, London, UK.
Mohammed T HuddaDepartment of Population Health, Dasman Diabetes Institute, Kuwait City, Kuwait.ORCID 0000-0001-7894-1159

Funding

National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research CentrePfizer Inc. Global Obesity ASPIRE Research Grant 91629725Pfizer Inc. Global Obesity ASPIRE Research Grant Ref
6 · The paper itself

Abstract

BACKGROUND/

aimsCurrent childhood fat mass (FM) assessment techniques are not suitable for clinical and population-level adiposity assessment. A prediction model, which accurately estimates childhood FM using predictor variables of weight, height, age, sex and ethnicity, requires validation in Arab populations. We evaluate the model's performance in Kuwaiti, Lebanese and Moroccan children/adolescents.

methodsData from three cross-sectional studies on 471 individuals, aged 6-15 years, were obtained with complete information on predictors and the outcome of log transformed fat-free mass assessed by reference standard deuterium dilution (lnFFM). Country-specific predictive performance statistics of R

resultsThe model showed strong predictive ability in all populations. Pooled R

interpretationThe model explained a large proportion of the variance in FM, produced well-calibrated predictions and relatively low RMSEs in Arab settings. It predicted FM more accurately than bioimpedance, indicating its potential for implementation in clinical- and population-level settings, particularly in low- and middle-income countries.

Indexed as

Adipose TissueAdiposityArabsBody CompositionPediatric ObesityAdolescentChildCross-Sectional StudiesElectric ImpedanceFemaleHumansKuwaitLebanonMaleMoroccoPredictive Value of Testsbody compositionmeta‐analysisobservational studyreal‐world evidence

Identifiers

PMID40000415
PMCPMC11964989

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.