Body Composition-Driven Phenotyping Reveals Obesity and Cardiometabolic Heterogeneity in Children Using a Tree-Like Representation.

Authors

Pei Xiao, Hong Cheng, Jingfan Xiong, Yinkun Yan, Junting Liu, Li Liu, Hongbo Dong, Yan Li, Peiyu Ye, Liwan Fu, Liwang Gao, Fangfang Chen, Xinying Shan, Lina Lan, Yanyan Li, Jie Mi

Published in

Diabetes. Aug 17, 2026. Epub Aug 17, 2026.

Abstract

Childhood obesity shows large differences in body composition and health risk that are not well captured by BMI or simple metabolic classifications, prompting the need for more precise characterization. This study aimed to determine whether a data-driven framework integrating detailed body composition measures could better describe obesity-related phenotypic heterogeneity and its relationship with cardiometabolic risk in children. We delineated a continuous body composition manifold encompassing fat-dominant, lean-dominant, and concomitant high-mass phenotypes, which captured diverging cardiometabolic risk trajectories and yielded modest incremental improvements in risk prediction. These findings support more precise risk stratification and provide a practical tool to improve early identification and prevention of obesity-related health complications in children.

PMID:
42606340
Bibliographic data and abstract were imported from PubMed on 17 Aug 2026.

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