UK Biobank Cohort: Biological Age Acceleration and Cardiovascular Disease Risk

122,133 UK Biobank participants aged 39-71 were followed from 2006-2010 until 2022 to study biological age acceleration. The data includes 24,281 incident cardiovascular disease cases and 3,614 premature deaths, with hazard ratios calculated for different biological age acceleration quartiles. This dataset, authored by Yingying Yang and shared under CC-BY-4.0, supports analysis of sex differences in ageing-related health risks.

Use Cases

• Model cardiovascular disease risk based on biological age acceleration metrics like KDM-BA and PhenoAge.
• Analyze sex differences in the association between accelerated ageing and premature mortality.
• Validate biological age algorithms as predictors for incident health events in a large prospective cohort.

Strengths

• Dataset is derived from the large, well-characterized UK Biobank cohort with 122,133 participants.
• Longitudinal follow-up from 2006-2010 until December 2022 provides a substantial time frame for event analysis.
• Analysis includes two established biological age calculation methods (KDM-BA and PhenoAge) for comparison.

Limitations

• The core data file is a 148.2 KB DOCX document, suggesting the dataset may contain summary results rather than raw participant-level data.
• Column-level documentation and sample data are unavailable, making field semantics and structure unclear.
• Row count for the underlying analytical dataset is unknown, limiting assessment of its scale for direct reuse.

Provenance

Source

UK Biobank study.

Collection Method

Population-based prospective cohort study using clinical biomarkers and follow-up data.

Time Range

Participants recruited between 2006 and 2010, followed until December 20, 2022.

Freshness

Last updated 2026-05-19 05:29:27.

Geography

United Kingdom.