POS0478 ASSOCIATION BETWEEN BODY SHAPES AND BODY SHAPE TRAJECTORIES, AND THE RISK OF RHEUMATOID ARTHRITIS IN THE FRENCH E3N COHORT

Background: Several cohort and case-control studies have suggested that overweight or obesity is associated with the risk of Rheumatoid Arthritis (RA). Associations were based on Body Mass Index (BMI), although this measurement does not reflect fat distribution [1]. Objectives: To study relationships between anthropometric measurements RA in women involved E3N cohort. Methods: an ongoing French prospective enrolled 98,995 aged 40-65 years 1990. Women completed mailed questionnaires every 2-3 lifestyle health-related information. A total 698 incident cases been validated among 78,452 [2]. Available include birth height weight, weight (collected at baseline regularly updated during follow-up), age-related body shapes (BS). had to identify silhouette 8 BS best described their years, puberty, 20-25 30-35 baseline. trajectories (from years) constructed using Nagin’s approach group-based trajectory modeling identifies 6 different [3]. Hazard ratios (HRs) 95% confidence intervals (CIs) for estimated Cox proportional hazards regression models age as time scale. Models first adjusted known factors (model 1), then multi-adjusted 2). Results: Taking lean reference, medium puberty was increased [HR=1.23 (95% CI 1.0-1.5)], fully model (table large [HR =1.32 1.1-1.6)] (in 1). Obesity (BMI>30 kg/m 2 ) marginally 1 [HR=1.30 1.0-1.7)], but association no longer statistically significant model, taking normal BMI [18-25 [as reference. Birth height, (at 8, years), significantly any model. Conclusion: In cohort, shape independently smoking exposure. Table 1. proportional-hazards analysis Non-cases MODEL HRs (95%CI ptrend Baseline mass index (kg/m <18 10 1,797 0.75 (0.4-1.4) 0.0532 0.85 (0.4-1.6) 0.6165 [18-25[ 462 50,330 Ref [25-30] 171 19,716 1.10 (0.9-1.3) 1.00 (0.8-1.2) > 30 55 5,911 1.30 (1.0-1.7 1.13 (0.8-1.6) Lean 332 40,485 0.0937 0.1490 Medium 179 17,903 1.24 (1.0-1.5 1.23 Large 147 15,984 1.14 (0.9-1.4) 1.12 359 44,718 0.0055 0.1743 200 20,041 1.20 (1.0-1.4) 1.16 110 9,838 1.32 (1.1-1.6 (0.9-1.6) : p trend. Ref: Model age, (past/current/never), passive childhood and/or adulthood (ever/never), educational level (<high–school, up university, ≥ 3 university). Multi-adjusted included + (<18, 18–25, 25–30, >30 ), physical activity quartiles), menarche (<13, 13–15, ≥15 menopause (≤45, 45–53, ≥53 pregnancy (<22, 22–27, ≥27 number full-term pregnancies (≤1, 2, ≥3), duration premenopausal use progestogen (0, 0–24, >24 months). References: [1]Crowson CS, Matteson EL, Davis JM 3rd, Gabriel SE. Contribution rise incidence rheumatoid arthritis. Care Res (Hoboken). 2013;65:71-7. [2]Nguyen Y, Salliot C, Gusto G, et al. Improving accuracy self-reported diagnoses arthritis E3N-EPIC cohort: a validation study. BMJ Open. 2019;9:e033536. [3]Nagin D. Analyzing developmental trajectories: semiparametric, group approach. Psychol Methods 1999;4:139e57. Disclosure Interests: None declared