Dietary Factors and Rheumatoid Arthritis Risk in the UK Biobank
The Associations Between Diet and Rheumatoid Arthritis Risk in the UK Biobank
1 other identifier
observational
500,000
0 countries
N/A
Brief Summary
Rheumatoid arthritis (RA) is the most common inflammatory arthritis, affecting around 1% of the UK population. It affects around 400,000 adults and is characterised by synovial inflammation, cartilage and bone damage that requires lifelong treatment and represents a significant burden for both the individual and society. Diet can affect inflammatory status and RA risk, with varying risks for men and women on specific diets. People with low to moderate consumption of alcohol may be at a lower risk of RA. Those who consume lower intakes of fruit and vegetables could be at a greater risk than those with adequate intakes. This research aims to better understand the role of diet in reducing RA risk in men and women in the United Kingdom. The research will use existing dietary and lifestyle data from the United Kingdom Biobank Study and hospital records of RA incidence.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2006
Longer than P75 for all trials
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2006
CompletedFirst Submitted
Initial submission to the registry
October 31, 2024
CompletedFirst Posted
Study publicly available on registry
November 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2029
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2029
May 1, 2026
April 1, 2026
24 years
October 31, 2024
April 27, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Rheumatoid Arthritis incidence (first)
First RA incidence, identified from all relevant ICD diagnosis codes and treatment codes identified through linked HES data.
Time Frame: Age when the completed questionnaire was returned (2006-2010) until age at event, death, or end of study period (2024).
Study Arms (1)
UK Biobank
UK Biobank. There are no interventions in this observational cohort study.
Interventions
Dietary patterns such as regular meat-eater, occasional meat-eater, pescatarian, and vegetarian; Mediterranean diet.
Dietary components, such as oily fish, dairy product, supplements, fibre, vitamin D supplements.
Frequency and intake of alcoholic beverages was measured by self-reporting the weekly frequency of different types of alcoholic beverages, e.g., the number of pints of beer/cider consumed per week and measures of spirits or liquors consumed per week were collected to assess consumption of beer/cider and spirits.
Serum 25(OH)D was measured once at baseline through a non-fasted blood draw during any season of the year.
Eligibility Criteria
General population. Information on the UK Biobank cohort profile is available here: https://www.ukbiobank.ac.uk/
You may qualify if:
- Male or female
- Ages 40 to 70 years at time of recruitment
- Able to provide informed consent
You may not qualify if:
- Unable to link dietary and lifestyle data with hospital episode statistics
- Had a rheumatoid arthritis before or no the date of recruitment
- Withdrew consent during the study period
- Genetic sex differs to reported sex
- Outlier diet or anthropometric data (energy intake \<500 or \>5000 kcal/day or body mass index \<10 or \>60 kg/m2)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Related Publications (1)
Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, Downey P, Elliott P, Green J, Landray M, Liu B, Matthews P, Ong G, Pell J, Silman A, Young A, Sprosen T, Peakman T, Collins R. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 2015 Mar 31;12(3):e1001779. doi: 10.1371/journal.pmed.1001779. eCollection 2015 Mar.
PMID: 25826379BACKGROUND
Related Links
Biospecimen
UK Biobank collected biomarker samples with DNA. This project makes use of data from the biomarker samples, but no additional samples will be taken and no additional samples will taken for this research. No samples will be processed, stored or retained by us. For the previously published details of UK Biobank, with anonymised data made available for researchers, please see: https://www.ukbiobank.ac.uk/enable-your-research/about-our-data/biomarker data.
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Darren C Greenwood, PhD
University of Leeds
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Senior Lecturer in Biostatistics
Study Record Dates
First Submitted
October 31, 2024
First Posted
November 1, 2024
Study Start
January 1, 2006
Primary Completion (Estimated)
December 31, 2029
Study Completion (Estimated)
December 31, 2029
Last Updated
May 1, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, ICF
- Time Frame
- IPD from UK Biobank is available to genuine researchers on application (https://www.ukbiobank.ac.uk/enable-your-research/apply-for-access).
- Access Criteria
- IPD from UK Biobank is available to genuine researchers on application (https://www.ukbiobank.ac.uk/enable-your-research/apply-for-access).
IPD from UK Biobank is available to genuine researchers on application (https://www.ukbiobank.ac.uk/enable-your-research/apply-for-access).