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Dataset Information

Automated body composition estimation from device-agnostic 3D optical scans in pediatric populations.


ABSTRACT:

Background

Excess adiposity in children is strongly correlated with obesity-related metabolic disease in adulthood, including diabetes, cardiovascular disease, and 13 types of cancer. Despite the many long-term health risks of childhood obesity, body mass index (BMI) Z-score is typically the only adiposity marker used in pediatric studies and clinical applications. The effects of regional adiposity are not captured in a single scalar measurement, and their effects on short- and long-term metabolic health are largely unknown. However, clinicians and researchers rarely deploy gold-standard methods for measuring compartmental fat such as magnetic resonance imaging (MRI) and dual X-ray absorptiometry (DXA) on children and adolescents due to cost or radiation concerns. Three-dimensional

SUBMITTER: Tian IY 

PROVIDER: S-EPMC10528749 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature