Supplementary file 1_Accelerometer-derived rest-activity rhythms, genetic risk, and chroni

Supplementary file 1 contains data and analysis on the association between accelerometer-derived rest-activity rhythms and abdominal aortic aneurysm risk. The dataset is based on 78,282 UK Biobank participants monitored between 2013 and 2015, with a mean follow-up of 10.1 years and 229 recorded AAA cases. It was authored by Yongliang Zhong and last updated on 2026-04-30.

Use Cases

• Assessing the association between rest-activity rhythm parameters like relative amplitude and abdominal aortic aneurysm risk.
• Investigating joint effects of behavioral rhythms with genetic risk scores and smoking status on disease outcomes.
• Evaluating the mediating role of inflammatory markers like neutrophil and monocyte counts in disease pathways.
• Training or benchmarking predictive models for AAA risk using accelerometer-derived features alongside traditional risk factors.

Strengths

• Data is derived from a large cohort of 78,282 UK Biobank participants.
• Analysis includes 13 parametric and nonparametric rest-activity rhythm parameters.
• Follow-up period is substantial, with a mean of 10.1 years and 229 incident AAA cases recorded.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data is unknown, which may limit suitability assessment.
• The primary file format is DOCX, which may require extraction or conversion for structured data analysis.

Provenance

Source

UK Biobank participant accelerometer monitoring.

Collection Method

Accelerometer data processed to derive 13 rest-activity rhythm parameters; analysis used Cox models, causal mediation, and XGBoost survival models.

Time Range

Accelerometer monitoring occurred between 2013 and 2015, with a mean follow-up of 10.1 years.

Freshness

Last updated 2026-04-30 05:37:30; freshness should be verified.

Geography

United Kingdom (UK Biobank participants).