Diet and Rheumatoid Arthritis Risk in the United Kingdom Women's Cohort
NCT ID: NCT06670144
Last Updated: 2024-11-01
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
35372 participants
OBSERVATIONAL
1995-01-15
2019-03-13
Brief Summary
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Detailed Description
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Research plan and methods: The dietary and lifestyle data from the United Kingdom Women's Cohort, which recruited 35,372 middle-aged women between 1995-1998, will be used. These data were linked to Hospital Episode Statistics to provide data on the incidence of RA in participants.
Cox regression models will be applied to explore potential associations between dietary factors and RA incidence. Dietary factors will be modelled both as categorical and continuous variables so that models can be fit comparing the risk of RA between categories of intakes and per increment increase in exposure intake (linear dose-response). Restricted cubic splines will be used to model non-linear associations for dietary intake of alcohol, fruits, vegetables, tea, and coffee, since previous research has suggested possible non-linear associations for these variables.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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United Kingdom Women's Cohort
United Kingdom Women's Cohort Study. No interventions are to be administered in this observational prospective cohort study.
Dietary pattern
(regular meat-eater, occasional meat-eater, fish-eater, vegetarian, and vegan; Mediterranean diet)
Alcohol intake
(Frequency and intake of beer, wine, sherry, and spirits were collected by asking the number of specified units (pints, glasses or measures) of each type of alcoholic beverage (beer or cider, wine, sherry or fortified wines, and spirits) per week.)
Fruit and vegetables intake
(Intake of fruits, vegetables, fruits and vegetables combined from food frequency questionnaire)
Tea consumption
(Intake of tea from food frequency questionnaire)
Coffee consumption
(Intake of caffeinated coffee and decaffeinated coffee from food frequency questionnaire)
Fish intake
(Intake of fish from food frequency questionnaire)
Meat intake
(Intake of red meat, processed meat, and poultry from food frequency questionnaire)
Vitamin D intake
(Estimated intake of vitamin D, derived from food frequency questionnaire and any recorded supplemental intake)
Interventions
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Dietary pattern
(regular meat-eater, occasional meat-eater, fish-eater, vegetarian, and vegan; Mediterranean diet)
Alcohol intake
(Frequency and intake of beer, wine, sherry, and spirits were collected by asking the number of specified units (pints, glasses or measures) of each type of alcoholic beverage (beer or cider, wine, sherry or fortified wines, and spirits) per week.)
Fruit and vegetables intake
(Intake of fruits, vegetables, fruits and vegetables combined from food frequency questionnaire)
Tea consumption
(Intake of tea from food frequency questionnaire)
Coffee consumption
(Intake of caffeinated coffee and decaffeinated coffee from food frequency questionnaire)
Fish intake
(Intake of fish from food frequency questionnaire)
Meat intake
(Intake of red meat, processed meat, and poultry from food frequency questionnaire)
Vitamin D intake
(Estimated intake of vitamin D, derived from food frequency questionnaire and any recorded supplemental intake)
Eligibility Criteria
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Inclusion Criteria
* Ages 35 - 69 years at time of recruitment
* Able to provide informed consent
Exclusion Criteria
* Not a resident of England
* Unable to link dietary and lifestyle data with hospital episode data
* Missing covariate data
* Rheumatoid arthritis records before or on the date of recruitment
36 Years
69 Years
FEMALE
Yes
Sponsors
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University of Leeds
OTHER
Responsible Party
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Darren Greenwood
Senior Lecturer in Biostatistics
Locations
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University of Leeds Leeds
Leeds, West Yorkshire, United Kingdom
Countries
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References
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Cade JE, Burley VJ, Alwan NA, Hutchinson J, Hancock N, Morris MA, Threapleton DE, Greenwood DC. Cohort Profile: The UK Women's Cohort Study (UKWCS). Int J Epidemiol. 2017 Apr 1;46(2):e11. doi: 10.1093/ije/dyv173. No abstract available.
Related Links
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Study website
Other Identifiers
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fsydo_UKWCS
Identifier Type: -
Identifier Source: org_study_id
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