UK Biobank Night Shift Work and Chronic Kidney Disease Risk Study

A prospective cohort study of 252,425 UK Biobank participants for current night shift analysis and 67,097 for lifetime exposure, investigating the association between night shift work and chronic kidney disease risk. The study used Cox proportional hazards models and interaction analyses with genetic susceptibility. The dataset was authored by Qianchun Xu and last updated on 2026-04-30.

Use Cases

• Assessing the relationship between permanent night shift schedules and CKD incidence based on hazard ratios mentioned in the description
• Evaluating gene-environment interactions on CKD risk based on the analysis of genetic susceptibility and shift patterns
• Modeling the impact of shift duration, frequency, and consecutive shifts on disease risk based on lifetime exposure metrics
• Conducting sensitivity analyses to confirm the robustness of associations between occupational patterns and health outcomes

Strengths

• Includes data from 252,425 participants for current night shift analysis, providing a substantial sample size
• Reports specific hazard ratios, such as HR 1.19 for permanent night shift workers and HR 2.49 for those with high genetic risk
• Follows STROBE reporting guidelines, suggesting structured methodological documentation
• License is CC-BY-4.0, permitting open sharing and adaptation

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is stored in a DOC file format (75.9 KB), which is a tiny dataset and may not contain the raw underlying data

Provenance

Source

UK Biobank

Collection Method

Prospective cohort study using Cox proportional hazards models

Freshness

Last updated 2026-04-30 05:24:58; freshness should be verified

Geography

United Kingdom (based on UK Biobank)