Evidence map›Paper›PMID 42243253›Full record

ArticleScientific reports2026

BMI-adiposity discrepancy across weight categories in primary school children: a prospective school-based cohort study.

Shu-Feng Hsu, Yu-San Liao, Ching-Chi Chi, Jrhau Lung, Li-Wen Lee

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shu-Feng HsuDepartment of Nursing, Chang Gung Memorial Hospital, Chiayi, 613016, Taiwan.
Yu-San LiaoDepartment of Diagnostic Radiology, Chang Gung Memorial Hospital, Yunlin, 638502, Taiwan.
Ching-Chi ChiSchool of Medicine, College of Medicine, Chang Gung University, Taoyuan, 333323, Taiwan.
Jrhau LungSchool of Medicine, College of Medicine, Chang Gung University, Taoyuan, 333323, Taiwan.
Li-Wen LeeSchool of Medicine, College of Medicine, Chang Gung University, Taoyuan, 333323, Taiwan. m4572@cgmh.org.tw.

Funding

Chang Gung Medical Foundation CMRPG6K0083, CMRPG6M0153, CMRPGMP0012
6 · The paper itself

Abstract

The BMI-for-age z score (BAZ) is widely used to assess adiposity in children; however, whether standardized BMI consistently reflects body fatness across the BMI spectrum remains uncertain. In this prospective school-based cohort study in Chiayi, Taiwan (October 2014-May 2025), we enrolled 3,293 primary school children aged 6-12 years with up to 12 repeated body composition measurements per participant (17,339 total observations) using bioelectrical impedance analysis (BIA). BAZ was strongly correlated with BIA-derived percent body fat (PBF) at baseline (Pearson r = 0.895; P < 0.001). However, discrepancy magnitude differed significantly across BMI categories (Kruskal-Wallis P < 0.001), with the smallest discrepancy in normal-weight children and greater discrepancies at both extremes. Longitudinal mixed-effects models showed that age (β = 0.367% points per year; 95%CI, 0.325-0.409; P < 0.001) and female sex (β = 2.608% points; 95%CI, 2.364-2.852; P < 0.001) were independently associated with higher PBF after adjustment for BAZ (β = 6.058; 95%CI, 5.994-6.122; P < 0.001), based on the primary model with random intercepts and random slope for age. These findings indicate that BAZ captures population-level adiposity variation, but its agreement with individual body fatness varies across the BMI spectrum.

Indexed as

AdiposityBody Mass IndexBody WeightBody CompositionChildElectric ImpedanceFemaleHumansMaleProspective StudiesSchoolsTaiwanBioelectrical impedance analysisBody compositionBody mass indexChildren

Identifiers

PMID42243253
PMCPMC13478597

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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.