TyG-BMI and Diabetes Risk in Chinese Adults: A Retrospective Cohort Study

A retrospective cohort study of 48,288 adults without diabetes at baseline, derived from a publicly available dataset on the DRYAD platform. The data originates from 11 cities and 32 locations in China and was used to examine the non-linear relationship between the triglyceride glucose-body mass index (TyG-BMI) and incident diabetes risk. The dataset was published by Shanshan Xiao under a CC-BY-4.0 license on May 25, 2026.

Use Cases

• Analyzing the threshold effect of TyG-BMI on diabetes risk based on the identified inflection point of 163.38.
• Validating the association between TyG-BMI quartiles and diabetes hazard ratios reported in the study.
• Conducting subgroup analyses for diabetes risk consistency across different demographic segments.
• Building predictive models for diabetes onset using TyG-BMI as a key metabolic marker.

Strengths

• Dataset includes 48,288 adult participants, providing a substantial sample size for analysis.
• Study reports specific statistical findings, including a hazard ratio of 11.24 for the highest TyG-BMI quartile and a threshold value of 163.38.
• Data is sourced from a multi-site study across 11 cities and 32 locations in China, offering geographic diversity.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying dataset is unknown, which may limit suitability assessment.
• The dataset is presented as a 386.9 KB PDF, which may require extraction of underlying tabular data.

Provenance

Source

Publicly available dataset on the DRYAD platform.

Collection Method

Retrospective cohort study using Cox proportional risk regression modeling.

Freshness

Last updated 2026-05-25 04:34:41; freshness should be verified.

Geography

11 cities and 32 locations in China.