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Association between the body roundness index and all-cause mortality in patients with metabolic dysfunction- associated steatotic liver disease

Bibliographic Data

ID22069878
AuthorsZechao He (Kailuan General Hospital), Fei Tian (0000-0002-1587-4929, North China University of Science and Technology Affiliated Hospital), Jianguo Jia (0009-0006-1342-3370, Kailuan General Hospital), Hong Ji (0000-0002-9382-1988, Kailuan General Hospital), Yong Li (0000-0002-4884-9930, Kailuan General Hospital), Yunpeng Li (0009-0003-6213-9905, Department of Hepatobiliary Surgery, Kailuan General Hospital, North China University of Science and Technology), Xinyu Ge (0000-0001-7579-1044, Kailuan General Hospital), Shuanghao Zhou (Department of Hepatobiliary Surgery, Kailuan General Hospital, North China University of Science and Technology), S Kevin Zhou (0009-0007-7524-8165, Kailuan General Hospital), Jiahui Zou (0000-0002-3145-6807, Kailuan General Hospital), Ze Wang (0009-0000-4619-7943, Kailuan General Hospital), Yurui Du (Kailuan General Hospital), Xueying Ma (0000-0003-1124-6412, Kailuan General Hospital, corresponding author), Xiangming Ma (Kailuan General Hospital)
Year2026
Volume14
Pages1765588-1765588
Publication date2026-02-20
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2026.1765588
PMID41799445
OpenAlexW7130648538
LanguageEN
References cited40

Background The body roundness index (BRI) is a novel anthropometric measure derived from waist circumference and height that reflects abdominal adiposity. Previous studies have demonstrated that BRI has predictive value for all-cause mortality in the general population and in individuals with metabolic dysfunction–associated steatotic liver disease (MASLD) in the United States. However, the association between BRI and all-cause mortality in patients with MASLD from northern Chinese populations remains unclear. Methods In this population-based prospective cohort study, we analyzed 28,898 MASLD patients (mean age 52.3 ± 12.2 years) from the Kailuan Study, an ongoing longitudinal investigation of Chinese industrial workers. The primary outcome was all-cause mortality. The Cox proportional hazards regression model was utilized to assess the association between BRI and the risk of all-cause mortality in the MASLD population by calculating hazard ratios (HR) with 95% confidence intervals (CI). Results During a median follow-up of 13.62 years (interquartile range 12.85–15.16), 3,895 deaths were occurred. After adjustment for confounders, each standard deviation increase in BRI was associated with a 13% increased risk of all-cause mortality (HR = 1.13, 95% CI: 1.07–1.19, P < 0.001). Multivariable Cox regression analysis revealed that compared with subjects in the lowest BRI quartile (Q1), those in the third (Q3) and fourth (Q4) quartiles had hazard ratios for all-cause mortality of 1.14 (95% CI: 1.02–1.28) and 1.21 (95% CI: 1.06–1.37) ( P for trend < 0.001), respectively. Conclusion BRI demonstrated a positive association with all-cause mortality in the MASLD population

Anthropometry · Body mass index · Body Shape Index · Confidence interval · Hazard ratio · Population · Proportional hazards model · Prospective cohort study · Quartile · Waist · Diabetes, Cardiovascular Risks, and Lipoproteins · Liver Disease Diagnosis and Treatment · Nutrition and Health in Aging

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