Supplementary Material for a Study on Frailty and Incident Digestive Diseases
by figshare admin karger·Updated 1mo ago
2.7 MB2files
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Description
Two prospective cohorts from the UK Biobank, comprising approximately 340,000 and 358,000 participants, were analyzed over a median follow-up of 13.7 years. The study, authored by figshare admin karger, investigates the association between a validated frailty phenotype and the risk of developing various gastrointestinal and hepatobiliary–pancreatic diseases. It was last updated on May 7, 2026, and includes hazard ratios for conditions like irritable bowel syndrome, cirrhosis, and inflammatory bowel disease.
Use Cases
Validate the association between frailty status and specific digestive disease risks based on reported hazard ratios.
Conduct secondary analyses on the mediating role of inflammation and nutrition using the C-reactive protein–to-albumin ratio mentioned in the description.
Assess the generalizability of findings across different demographic subgroups like age, sex, and adiposity strata referenced in the study.
Strengths
Large sample size from the UK Biobank, with cohorts of approximately 340,000 and 358,000 participants.
Longitudinal design with a median follow-up period of 13.7 years.
Multivariable-adjusted hazard ratios are provided for over ten specific digestive diseases, all with P values <0.01.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Column-level documentation is absent; field semantics must be inferred after download.
The 2.7 MB file size suggests the dataset is relatively small, potentially containing only supplementary documents rather than raw data.
Provenance
Source
UK Biobank
Collection Method
Prospective cohort study using a validated frailty phenotype.
Time Range
Median follow-up of 13.7 years.
Freshness
Last updated 2026-05-07 07:55:21; freshness should be verified.
Geography
United Kingdom
The primary file format is DOCX, which may contain textual supplementary material rather than structured, machine-readable data tables.