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

252,425 participants from the UK Biobank were analyzed in a prospective cohort study investigating the link between night shift work and chronic kidney disease. The research, authored by Qianchun Xu, found permanent night shift workers had a 19% higher CKD risk, with the highest risk observed in those with both high genetic susceptibility and permanent night shift exposure. The dataset, last updated in April 2026, includes results from Cox proportional hazards models and interaction analyses.

Use Cases

• Modeling the association between permanent night shift schedules and CKD incidence based on hazard ratios.
• Investigating gene-environment interactions by combining genetic risk scores with shift work patterns.
• Assessing the impact of lifetime night shift exposure metrics like duration and frequency on health outcomes.
• Conducting sensitivity analyses to test the robustness of associations between shift patterns and disease risk.

Strengths

• Analysis includes a large cohort of 252,425 participants for current night shift exposure.
• Study reports specific hazard ratios, such as HR 1.19 for permanent night shift workers and HR 2.49 for those with high genetic risk and permanent exposure.
• Follows STROBE reporting guidelines for observational studies, suggesting structured methodology.

Limitations

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

Provenance

Source

UK Biobank

Collection Method

Prospective cohort study using Cox proportional hazards models and interaction analyses.

Freshness

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

Geography

United Kingdom (based on UK Biobank)