Tea Consumption and Cardiovascular Events in UK Biobank Coronary Heart Disease Patients

A clinical epidemiology dataset of 25,306 UK Biobank participants with established coronary heart disease, tracking major adverse cardiovascular events over a mean follow-up of 13.9 years. It was created by Chunxia Zhang and last updated on 2026-05-28. The data supports analysis of non-linear dose-response relationships and effect modification by lipoprotein(a) and C-reactive protein levels.

Use Cases

• Modeling non-linear dose-response relationships between tea consumption and cardiovascular risk based on the described restricted cubic spline analysis.
• Investigating joint effect modification by lipoprotein(a) and C-reactive protein levels as described in the three-way interaction analysis.
• Conducting causal mediation analysis to assess the role of lipoprotein(a) in the tea-MACE association as mentioned in the methods.
• Stratifying patient risk based on the four-quadrant classification by Lp(a) and CRP cut-offs described in the results.

Strengths

• Includes data from 25,306 participants with established coronary heart disease, a substantial patient cohort.
• Features a long mean follow-up period of 13.9 years for tracking major adverse cardiovascular events.
• Analysis is based on 22,012 participants with complete covariate data, suggesting efforts towards data completeness.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the final analytical dataset is unknown, which may limit suitability assessment.
• The dataset is very small (17.9 KB), indicating it likely contains summary or processed results rather than raw individual-level data.

Provenance

Source

UK Biobank

Collection Method

Cohort study identified from the UK Biobank; analysis used Cox regression, restricted cubic splines, and causal mediation analysis.

Time Range

Mean follow-up of 13.9 years (specific start/end dates not provided).

Freshness

Last updated 2026-05-28 15:29:50; freshness should be verified.

Geography

United Kingdom (UK Biobank)