Body roundness index and rheumatoid arthritis risk: Evidence from NHANES 1999 to 2020

This study aims to examine the association between body roundness index (BRI) and rheumatoid arthritis (RA) risk using data from National Health and Nutrition Examination Survey 1999 to 2020. A cross-sectional study of 33,239 adults was conducted. RA was identified through self-report, and BRI was calculated by standard formula. Weighted logistic regression models assessed the relationship between BRI and RA, adjusting for demographic and clinical factors. Restricted cubic spline and segmented regression models explored nonlinear trends. Higher BRI was significantly associated with increased RA risk (adjusted OR = 1.255 per unit increase, 95% CI: 1.204-1.307, P < .001). A nonlinear relationship was observed (P < .05). Subgroup analyses revealed stronger associations among nonsmokers and those with higher education. The area under the curve for BRI in predicting RA was 0.793 (95% CI: 0.785-0.802). Elevated BRI is independently associated with higher RA risk in a nonlinear, dose-response manner. BRI may serve as a practical marker for RA risk stratification and early intervention.

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Journal
Medicine
Published
2025-12-26
DOI
https://doi.org/10.1097/md.0000000000046618
Primary Topic
Rheumatoid Arthritis Research and Therapies
Type
article
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article

Body roundness index and rheumatoid arthritis risk: Evidence from NHANES 1999 to 2020

JingJie Li, Wenzhuo Huang, Xin Huang, Cunqi Peng
Medicine
Rheumatoid Arthritis Research and Therapies
article

Body roundness index and rheumatoid arthritis risk: Evidence from NHANES 1999 to 2020

JingJie Li, Wenzhuo Huang, Xin Huang, Cunqi Peng
article en

Abstract

This study aims to examine the association between body roundness index (BRI) and rheumatoid arthritis (RA) risk using data from National Health and Nutrition Examination Survey 1999 to 2020. A cross-sectional study of 33,239 adults was conducted. RA was identified through self-report, and BRI was calculated by standard formula. Weighted logistic regression models assessed the relationship between BRI and RA, adjusting for demographic and clinical factors. Restricted cubic spline and segmented regression models explored nonlinear trends. Higher BRI was significantly associated with increased RA risk (adjusted OR = 1.255 per unit increase, 95% CI: 1.204-1.307, P < .001). A nonlinear relationship was observed (P < .05). Subgroup analyses revealed stronger associations among nonsmokers and those with higher education. The area under the curve for BRI in predicting RA was 0.793 (95% CI: 0.785-0.802). Elevated BRI is independently associated with higher RA risk in a nonlinear, dose-response manner. BRI may serve as a practical marker for RA risk stratification and early intervention.

MedicineVol. 104(52)
Hubei University of Chinese Medicine (CN), Hangzhou Hospital of Traditional Chinese Medicine (CN), Xiangyang Hospital of Traditional Chinese Medicine (CN)
Zero hunger
Openalex Percentile: Top 28%
Rheumatoid Arthritis Research and Therapies
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