UK Biobank Study on Night Shift Work, Genetic Risk, and Chronic Kidney Disease

A prospective cohort study of 252,425 UK Biobank participants investigates the association between night shift work and chronic kidney disease risk. The analysis uses Cox proportional hazards models to assess relationships between shift patterns, genetic susceptibility, and CKD incidence. The dataset was authored by Qianchun Xu and last updated on 2026-04-30.

Use Cases

• Modeling the risk of chronic kidney disease based on night shift work patterns described in the study
• Investigating gene-environment interactions between genetic susceptibility and occupational exposures
• Conducting sensitivity analyses to test the robustness of associations between shift work and health outcomes

Strengths

• Includes data from 252,425 participants for current night shift analysis and 67,097 for lifetime exposure analysis
• 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 for observational studies

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect geographic and demographic bias inherent to the UK Biobank source

Provenance

Source

UK Biobank

Collection Method

Prospective cohort study using Cox proportional hazards models

Freshness

Last updated 2026-04-30 05:24:59; freshness should be verified

Geography

United Kingdom