UK Biobank Study on Dietary Protein, Inflammation, and Sarcopenia Risk

A prospective population-based study analyzing data from 37,870 UK Biobank participants to investigate associations between dietary protein intake and incident sarcopenia. The research, authored by Hongxia Xia, employs Cox models, mediation analysis with inflammatory biomarkers, and a polygenic risk score to explore genetic interactions. The dataset, last updated in May 2026, is shared under a CC-BY-4.0 license.

Use Cases

• Modeling the association between plant protein intake and sarcopenia risk based on the reported hazard ratios.
• Conducting mediation analysis to assess the role of inflammatory biomarkers like CRP and WBC count in the protein-sarcopenia pathway.
• Investigating gene-diet interactions for sarcopenia using the constructed polygenic risk score (MetaPRS).
• Replicating the prospective cohort analysis methodology on similar nutritional epidemiology datasets.

Strengths

• Based on a large cohort of 37,870 participants from the UK Biobank.
• Includes analysis of multiple protein sources (total, animal, plant) and several inflammatory biomarkers.
• Employs a polygenic risk score to integrate genetic susceptibility into the nutritional epidemiology model.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (210.9 KB), suggesting it may contain summary or processed results rather than raw participant-level data.

Provenance

Source

UK Biobank

Collection Method

Prospective population-based cohort study using Cox proportional hazard models and mediation analysis.

Time Range

null

Freshness

Last updated 2026-05-04 04:18:55; freshness should be verified.

Geography

United Kingdom (UK Biobank participants)