ArticleFrontiers in pediatrics2026
Obesity definition by percentage of body fat compared to body mass Index in a kidney transplant transition clinic.
Article in Frontiers in pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Obesity is defined by body mass index (BMI), a poor marker of adiposity that does not take into account sex differences. It was recently shown in a large database of adults that percentage of body fat (%BF) can also be used to define clinically relevant overweight/obese status with sex-specific cut-offs. This definition was never tested in adolescent and young adult (AYA) kidney transplant (KT) recipients. Methods: We compared the %BF method of defining obesity with the BMI-based method in a population of AYAs belonging to a KT transition clinic. The %BF was measured using a total body composition scale (Body Composition Analyzer, Tanita Corporation, Tokyo) based on the bioelectrical impedance analysis. Results: Thirty-five patients (18 females, 17 males; mean age 19.5 ± 2.5 years) were enrolled. Hypertension was present in 54.3%; metabolic syndrome in 25.7%. BMI classified 42.9% [95% CI: 28.0-59.1%] as overweight/obese vs. 28.6% [95% CI: 16.3-45.1%] by %BF (McNemar Conclusions: Overweight and obesity were common in KT AYA recipients. Cardiovascular risks are common. The BMI-based method appeared to possibly overestimate obesity, although statistical significance was not attained, likely due to the small sample size. Further studies are needed to confirm if %BF is more accurate in determining obesity compared to BMI in this population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.