Long-term weight changes and risk of rheumatoid arthritis among women in a prospective cohort: a marginal structural model approach

Rheumatology (Oxford). 2022 Apr 11;61(4):1430-1439. doi: 10.1093/rheumatology/keab535.

Abstract

Objective: To examine the association of long-term weight change with RA risk in a large prospective cohort study.

Methods: The Nurses' Health Study II started in 1989 (baseline); after exclusions, we studied 108 505 women 25-42 years old without RA. Incident RA was reported by participants and confirmed by medical record review. Body weight was reported biennially through 2015. We investigated two time-varying exposures: weight changes from baseline and from age 18; change was divided into five categories. We used a marginal structural model approach to account for time-varying weight change and covariates.

Results: Over 2 583 266 person-years, with a median follow-up time of 25.3 years, 541 women developed RA. Compared with women with stable weight from baseline, weight change was significantly associated with increased RA risk [weight gain 2-<10 kg: RR = 1.98 (95% CI 1.38, 2.85); 10-<20 kg: RR = 3.28 (95% CI 2.20, 4.89); ≥20 kg: RR = 3.81 (95% CI 2.39, 6.07); and weight loss >2 kg: RR = 2.05 (95% CI 1.28, 3.28)]. Weight gain of 10 kg or more from age 18 compared with stable weight was also associated with increased RA risk [10-< 20 kg: RR = 2.12 (95% CI 1.37, 3.27), ≥20 kg: RR = 2.31 (95% CI 1.50, 3.56)]. Consistent findings were observed for seropositive and seronegative RA.

Conclusion: Long-term weight gain was strongly associated with increased RA risk in women, with weight gain of ≥20 kg associated with more than a three-fold increased RA risk. Maintenance of healthy weight may be a strategy to prevent or delay RA.

Keywords: adipose obesity; epidemiology; rheumatoid arthritis; statistics; study design.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • Arthritis, Rheumatoid* / epidemiology
  • Arthritis, Rheumatoid* / prevention & control
  • Female
  • Humans
  • Incidence
  • Models, Structural
  • Prospective Studies
  • Risk Factors
  • Weight Gain