ArticleEndocrine2025
Dual-energy X-ray absorptiometry and bioelectrical impedance analysis are useful for predicting metabolic syndrome and nonalcoholic fatty liver disease in children and adolescents.
Article in Endocrine, 2025. 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAssessing body composition is essential for evaluating metabolic syndrome (MS) and nonalcoholic fatty liver disease (NAFLD). However, studies on the relationship between these conditions and dual-energy X-ray absorptiometry (DXA) and bioelectrical impedance analysis (BIA) in children and adolescents remain limited. This study aimed to investigate the associations between DXA and BIA parameters, and their utility in predicting MS and NAFLD in the youth.
methodsData from the Korea National Health and Nutrition Examination Survey 2009-2011 and 2022 were analyzed, including 1661 children and adolescents who underwent DXA, and 359 who underwent BIA; 712 were matched through propensity score matching. Pearson correlation and logistic regression analyses (with MS and NAFLD as dependent variables) were used to assess associations between DXA and BIA parameters. Predictive performance was evaluated using area under the receiver operating characteristic (ROC) curve comparisons.
resultsPearson correlation analyses revealed significant positive correlations between DXA and BIA parameters. In the logistic regression analyses, fat-related parameters were positively associated with MS and NAFLD, whereas muscle-related parameters showed negative associations, even after adjusting for age and sex. In the ROC analyses, BIA body fat mass had the highest predictive performance for both MS and NAFLD, followed by DXA body fat mass and percentage of body fat. Fat-related parameters were superior to muscle-related parameters for predicting MS and NAFLD.
conclusionBIA and DXA are useful tools for assessing MS and NAFLD in children and adolescents, and their complementary use enhances predictive accuracy, particularly through fat-related parameters.
Indexed as
Identifiers
40736624What 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.