ArticlePediatric obesity2022
Possible prediction of obesity-related liver disease in children and adolescents using indices of body composition.
Article in Pediatric obesity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 8 citations in OpenAlex.
- Editorial: Hot topics in diabetes and steatotic liver disease.Frontiers in clinical diabetes and healthcare · 2026Article
- The Evolution of Pediatric MAFLD Research (2014-2023): A Decade-Long Bibliometric Analysis of Emerging TrendsEndocrine, metabolic & immune disorders drug targets · 2026Review
- Association between body fat distribution and female stress urinary incontinence: a cross-sectional study with the NHANES 2011-2018.Translational andrology and urology · 2025Article
- Sex Differences in Body Composition and MASLD in Children With Overweight and Obesity.Acta paediatrica (Oslo, Norway : 1992) · 2025Article
- Least significant change with repeat bioelectrical impedance analysis measurements in children with metabolic dysfunction-associated steatotic liver disease: A descriptive cohort study.JPEN. Journal of parenteral and enteral nutrition · 2025Article
- Potential alternative and novel biomarkers for paediatric MAFLD: exploratory evidence from a Chinese cohort.BMC gastroenterology · 2025Article
- Impact of segmental body composition on metabolicFrontiers in endocrinology · 2025Article
- The relative contributions of soft tissue mass components as risk or protective factors of non-alcoholic fatty liver disease in children.European journal of clinical nutrition · 2023Article
- Possible prediction of obesity-related liver disease in children and adolescents using indices of body composition.Pediatric obesity · 2022Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiagnosis of nonalcoholic fatty liver disease in children and adolescents currently requires advanced or invasive technologies.
objectivesWe aimed to develop a method to improve diagnosis, using body composition indices and liver biochemical markers.
methodsTo diagnose non-alcoholic fatty liver disease, 767 Danish children and adolescents underwent clinical examination, blood sampling, whole-body dual-energy X-ray absorptiometry scanning and proton magnetic resonance spectroscopy for liver fat quantification. Fourteen variables were selected as a starting point to construct models, narrowed by stepwise selection. Individuals were split into a training set for model construction and a validation test set. The final models were applied to 2120 Danish children and adolescents to estimate the prevalence.
resultsThe final models included five variables in different combinations: body mass index-standard deviation score, android-to-gynoid-fat ratio, android-regional fat percent, trunk-regional fat percent and alanine transaminase. When validated, the sensitivity and specificity ranged from 38.6% to 51.7% and 87.6% to 91.9%, respectively. The estimated prevalence was 24.2%-35.3%. Models including alanine transaminase alongside body composition measurements displayed higher sensitivity.
conclusionsBody composition indices and alanine transaminase can be used to estimate non-alcoholic fatty liver disease, with 38.6%-51.7% sensitivity and 87.6%-91.9%, specificity, in children and adolescents with overweight (including obesity). These estimated a 24.2%-35.3% prevalence in 2120 patients.
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