Association Between Body Composition Phenotypes and Prediabetes in Chinese Adults

A 2024 cross-sectional study of 3,905 Chinese adults undergoing health check-ups analyzed the association between body composition phenotypes and prediabetes outcomes. The dataset, authored by Ren Lin and shared under a CC-BY-4.0 license, includes classifications based on the Chinese Visceral Adiposity Index and relative muscle mass. It was used to compare the discriminatory performance of CVAI against BMI and waist-to-height ratio.

Use Cases

• Assessing the association between combined low muscle mass and visceral obesity and impaired fasting glucose based on the study's findings.
• Comparing the discriminatory power of CVAI, BMI, and waist-to-height ratio for abnormal glycemia as described in the analysis.
• Investigating the independent association of low relative muscle mass alone with prediabetes outcomes after adjusting for confounders.
• Modeling odds ratios for prediabetes outcomes across different body composition phenotypes using logistic regression frameworks.

Strengths

• Includes data from 3,905 adult participants, providing a substantial sample size.
• Analysis adjusted for multiple confounders including age, sex, blood pressure, LDL-C, ALT, and eGFR.
• Phenotype distribution is explicitly quantified (e.g., 13.2% had combined low muscle mass and visceral obesity).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data is unknown, which may limit suitability assessment.
• The dataset is very small (26.7 KB), indicating limited scope, likely containing summary statistics or a manuscript rather than raw participant data.

Provenance

Source

figshare

Collection Method

Data obtained from adults attending a health check-up center.

Time Range

2024

Freshness

Last updated 2026-05-14 05:23:34; freshness should be verified.

Geography

China