Finnish CKD Risk Factor Associations from a 22-Year Cohort Study

Supplementary Material 4 presents multivariable-adjusted Cox regression results for incident chronic kidney disease. The data is from a 22-year population-based cohort study of middle-aged Finns, authored by Johanna Sinkko and shared under a CC-BY-4.0 license. The file was last updated on 2026-05-26.

Use Cases

• Modeling the association between fasting glucose and CKD risk based on the multivariable adjusted model.
• Analyzing the interaction of diabetes status with other CKD risk factors based on the stratified Cox regression.
• Validating or comparing risk prediction models for chronic kidney disease based on the reported hazard ratios and confidence intervals.

Strengths

• Data is derived from a 22-year longitudinal cohort study, providing long-term observation.
• Analysis uses a multivariable adjusted Cox regression model, a standard method for time-to-event data.
• The dataset is openly licensed under CC-BY-4.0, permitting reuse with attribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.
• The 13.8 KB file size indicates a very small, likely summary-level dataset with limited scope.

Provenance

Source

Johanna Sinkko via figshare.

Collection Method

Cox regression analysis of a 22-year population-based cohort study.

Time Range

The underlying cohort study spanned 22 years; specific years are not provided.

Freshness

Last updated 2026-05-26 04:11:40; freshness should be verified.

Geography

Finland (middle-aged Finnish population).