Supplementary file 1_Association between ZJU index and glycemic outcomes in individuals wi

11,243 individuals with impaired fasting glucose were analyzed in a multicenter retrospective cohort study from 2010 to 2016. The research investigates the ZJU index's association with progression to diabetes and reversion to normoglycemia. Author Wanlan Huang published the findings under a CC-BY-4.0 license on figshare.

Use Cases

• Validate the ZJU index as a predictive biomarker for diabetes progression based on the described cohort analysis.
• Study nonlinear relationships between metabolic indicators and health outcomes using the described threshold effect analysis.
• Benchmark risk stratification models against the reported hazard ratios for reversion and progression.
• Analyze longitudinal glycemic transitions in a prediabetic population based on the study's retrospective design.

Strengths

• Study includes data from 11,243 individuals, providing a substantial cohort size.
• Analysis covers a multi-year period from 2010 to 2016.
• Research employs multiple statistical models including Cox regression and logistic regression.

Limitations

• The dataset is a 35.9 KB DOCX file, suggesting it contains supplementary textual information rather than the primary analysis data.
• Column-level documentation and sample data are unavailable, limiting assessment of data structure.
• Data is sourced from a specific Chinese health screening program, which may limit generalizability.

Provenance

Source

figshare, author Wanlan Huang.

Collection Method

Retrospective analysis of health screening program data.

Time Range

2010 to 2016.

Freshness

Last updated 2026-04-23 04:21:38; freshness should be verified.

Geography

China (multicenter cohort).