ArticleArthritis research & therapy2025
Longitudinal patterns of obesity index changes and risk of incident rheumatoid arthritis: evidence from a population-based cohort.
Article in Arthritis research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Association between Modified Cardiometabolic Index and rheumatoid arthritis: the mediating role of phenotypic age acceleration.Clinical rheumatology · 2026Article
- Body roundness index modified the association between sleep changes and multimorbidity in middle-aged and older adults: a nationwide cohort study.Journal of health, population, and nutrition · 2026Article
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Authors and funding
11 authors.
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Abstract
backgroundObesity has been linked to increased rheumatoid arthritis (RA) risk, but the impact of longitudinal changes in obesity indices remains unclear. A clearer understanding of these dynamic patterns could enhance early identification and prevention strategies. This study aimed to examine the associations between longitudinal changes in body mass index (BMI), waist-to-hip ratio (WHR), and body roundness index (BRI) and the incidence of RA.
methodsWe analyzed data from 68,061 UK Biobank participants (aged 40-73 years) with at least two obesity index measurements. Obesity change patterns were categorized as stable or transitional, and the annual average rate of change (AARC) was calculated. Cox regression and restricted cubic spline (RCS) models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).
resultsOver a median follow-up of 4.06 years, 354 participants developed RA. Stable overweight (HR: 1.45; 95% CI: 1.12, 1.88), abdominal obesity (HR: 1.48; 95% CI: 1.12, 1.96) and high BRI (HR: 1.46; 95% CI: 1.12, 1.89) were related to an increased risk of RA. Additionally, the transition from non-abdominal obesity to abdominal obesity was connected to a 39% increase in RA risk (HR: 1.39; 95% CI: 1.00, 1.91). The RCS model showed a non-linear association between AARC in BMI and RA risk, with RA risk increasing when AARC exceeded 1.106 (P for non-linearity = 0.019).
conclusionsThe findings suggest that specific dynamic changes in obesity indices are associated with an increased risk of RA, and that maintaining a normal body composition may contribute to risk reduction.
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