Body Composition and Bone Mineral Density in 424 Adults with Type 2 Diabetes

424 adults with type 2 diabetes were assessed in a cross-sectional study at the Second Hospital of Jilin University. The dataset includes dual-energy X-ray absorptiometry (DXA) measurements of bone mineral density and bioelectrical impedance analysis (BIA) body composition data. It was authored by Dihe Cheng and last updated on June 3, 2026.

Use Cases

• Developing predictive models for osteoporosis status based on integrated body composition phenotypes, age, and sex.
• Analyzing the distinct associations of muscle-metabolic and fat-obesity components with site-specific bone mineral density.
• Conducting mediation analysis to quantify how body composition statistically explains demographic effects on bone density.

Strengths

• Dataset includes 424 patient records with a mean age of 58.09 years and 51.4% male representation.
• A developed nomogram demonstrated excellent discrimination with a bootstrap-corrected C-index of 0.854.
• Principal component analysis derived specific integrated phenotypes ('muscle-metabolic' and 'fat-obesity') from correlated body composition measures.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to a single-hospital study in Jilin University.

Provenance

Source

Second Hospital of Jilin University

Collection Method

Cross-sectional clinical assessment using DXA and BIA.

Freshness

Last updated 2026-06-03 04:47:23; freshness should be verified.

Geography

Jilin University, China