ARIC Study: LDL Protein Cargo and Pulse Wave Velocity in 65 Older Adults

A 2026 cross-sectional analysis of 65 older adults from the Atherosclerosis Risk in Communities (ARIC) study. The dataset, authored by Binchong An, examines associations between LDL protein cargo, LDL cholesterol, and three measures of segmental pulse wave velocity. It includes proteomic quantification of LDL proteins and participant demographics.

Use Cases

• Train models to predict arterial stiffness (baPWV, faPWV, cfPWV) based on LDL protein cargo levels.
• Analyze differential associations between specific proteins (e.g., apoB, C3) and segment-specific vascular measures.
• Conduct comparative analysis of the predictive power of LDL-C versus LDL protein cargo for cardiovascular risk.

Strengths

• Includes proteomic quantification of LDL cargo proteins using mass spectrometry.
• Provides detailed statistical results (beta coefficients, confidence intervals, p-values) for associations.
• Contains demographic data for 65 participants, including age, sex, and race distribution.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (66.1 KB), indicating a limited sample size of 65 participants.

Provenance

Source

Atherosclerosis Risk in Communities (ARIC) study.

Collection Method

Cross-sectional study using linear regression on plasma samples from participants.

Freshness

Last updated 2026-05-22 06:03:13.