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临床试验/NCT06670183
NCT06670183进行中(未招募)不适用

The Associations Between Diet and Rheumatoid Arthritis Risk in the UK Biobank

University of Leeds0 个研究点目标入组 500,000 人开始时间: 2006年1月1日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
进行中(未招募)
入组人数
500,000
主要终点
Rheumatoid Arthritis incidence (first)

研究概览

简要总结

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.

详细描述

Background:

RA is the most common inflammatory arthritis in the United Kingdom, contributing significantly to increased morbidity and mortality, particularly from cardiovascular diseases. Epidemiological evidence suggests that compared to occasional drinkers, moderate alcohol consumption may reduce RA risk compared to non-drinkers, and occasional drinking. Additionally, observational research highlights the potential for RA risk reduction through dietary modifications, though evidence on interactions between dietary and genetic factors remains limited, particularly in prospective cohort studies. Moreover, the mechanisms underlying potential differences in RA risk between men and women are not yet fully understood.

This study aims to assess the associations between dietary factors, such as alcohol consumption and dietary patterns, and RA incidence within the UK Biobank cohort. A secondary objective is to evaluate the role of potential modifiers in the relationship between dietary factors and RA risk, including adherence to the Alternative Healthy Eating Index (AHEI), Townsend index, as well as age, sex, body mass index (BMI), smoking status, and physical activity. Additionally, interactions between dietary factors and genetic profiles in relation to RA risk will be investigated.

Research plan and methods:

This study will utilize dietary and lifestyle data from the UK Biobank, a cohort that recruited over 500,000 adults from 2006 to 2010, and linked hospital records to identify incident RA cases.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
40 Years 至 70 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Male or female
  • Ages 40 to 70 years at time of recruitment
  • Able to provide informed consent

排除标准

  • 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)

研究组 & 干预措施

UK Biobank

UK Biobank. There are no interventions in this observational cohort study.

干预措施: Food groups and Nutrients (Other)

UK Biobank

UK Biobank. There are no interventions in this observational cohort study.

干预措施: Dietary patterns (Other)

UK Biobank

UK Biobank. There are no interventions in this observational cohort study.

干预措施: Alcohol intake (Other)

UK Biobank

UK Biobank. There are no interventions in this observational cohort study.

干预措施: Vitamin D status (Other)

结局指标

主要结局

Rheumatoid Arthritis incidence (first)

时间窗: Time Frame: Age when the completed questionnaire was returned (2006-2010) until age at event, death, or end of study period (2024).

First RA incidence, identified from all relevant ICD diagnosis codes and treatment codes identified through linked HES data.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Darren Greenwood

Senior Lecturer in Biostatistics

University of Leeds

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