Loading
Dialysis and Renal Disease Management / Chronic Kidney Disease and Diabetes / Renal Transplantation Outcomes and Treatments · Journal article
Frontiers in Pediatrics · September 9, 2026
Early or partial results. Treat as a signal, not a conclusion.
This is a small cross-sectional study comparing body fat percentage versus BMI for obesity classification in 35 adolescent and young adult kidney transplant recipients. BMI classified 42.9% as overweight/obese compared to 28.6% by body fat percentage, but this difference did not reach statistical significance (p = 0.125), and the authors acknowledge the sample size was insufficient to confirm whether body fat percentage is a more accurate classifier in this population.
Cross-sectional comparative study. 35 kidney transplant recipients (18 females, 17 males; mean age 19.5 ± 2.5 years) attending a KT transition clinic; 54.3% had hypertension and 25.7% had metabolic syndrome.. Intervention: Body fat percentage measurement via bioelectrical impedance analysis. Compared with: Body mass index-based obesity classification. n = 35. Not stated.
BMI classified 42.9% [95% CI: 28.0–59.1%] as overweight/obese versus 28.6% [95% CI: 16.3–45.1%] by %BF (McNemar p = 0.125) %BF significantly higher in females (30.1 ± 6.1%) than males (23.3 ± 7.9%; p < 0.01) BMI–%BF correlation stronger in males (r = 0.903) than females (r = 0.777)
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
This pilot study raises the question of whether body fat percentage might be a more sex-appropriate classifier than BMI in young transplant recipients, but the difference did not achieve statistical significance and the findings require confirmation in a larger cohort. Clinicians should not change practice based on this result alone.
A small, single-centre descriptive comparison of two obesity classification methods in a specific transplant population, with a primary finding (BMI possibly overestimating obesity) that did not reach statistical significance and requires confirmation.
As stated by the source record.
Quoted from the source exactly as published.
This pilot study raises the question of whether body fat percentage might be a more sex-appropriate classifier than BMI in young transplant recipients, but the difference did not achieve statistical significance and the findings require confirmation in a larger cohort. Clinicians should not change practice based on this result alone.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
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 p = 0.125). %BF was significantly higher in females (30.1 ± 6.1%) than males (23.3 ± 7.9%; p < 0.01). BMI–%BF correlation was stronger in males ( r = 0.903) than females ( r = 0.777). 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.
Taken from the source record, never inferred. Follow any of these and new work involving them reaches your briefing.