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Article

3D body shape-based phenotyping for precision risk stratification of metabolic syndrome.

Lipids in health and disease - 25 Feb 2026

Ran Zhujie, Hu Yaoda, He Huijing, Han Wei, Chen Xingming, Tu Ji, Li Ang, Lin Binbin, Liu Qihang, Lu Zhiming, Wang Qing, Huang Haibo, Wang Weihao, Xu Da, Wang Zichao, Chen Zhili, Zhang MengWei, Shan Guangliang

Abstract excerpt

BACKGROUND: 3D body scanning serves as a noninvasive surrogate for dual-energy X-ray absorptiometry (DXA) in body composition evaluation, but the links between the derived body shape phenotypes and metabolic syndrome (MetS) remain unclear. METHODS: This cross-sectional study (2024 China National Health and Nutrition Survey) applied unsupervised clustering to 144 3D body measurements and classified 5,174 adults...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 41742278
DOI: 10.1186/s12944-026-02908-3
PMCID: PMC13041411

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

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