ArticleJournal of health, population, and nutrition2025
Both body roundness index and the body mass index increase the prevalence of stroke but reduce the risk of all-cause mortality.
Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Insights into the complex relationship between body roundness index, atherogenic index of plasma, and stroke: a nationwide prospective cohort study.Lipids in health and disease · 2026Article
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Abstract
BACKGROUND AND
objectiveObesity is a risk factor for stroke. The Body Roundness Index (BRI) is a new obesity indicator based on the eccentricity theory and combined with height and waist circumference, which reflects the level of visceral fat more accurately than traditional indicators. However, its association with stroke remains unclear. This study aims to compare the associations of the BRI and body mass index (BMI) with stroke and its prognosis.
methodsThe data of 29,745 participants in the National Health and Nutrition Examination Survey (NHANES) from 2003 to 2018 were analyzed. Based on weighted logistic regression, weighted COX regression, and restricted cubic spline, the associations of BRI and BMI with the odds of stroke and the risk of all-cause mortality were analyzed; the receiver operating characteristic (ROC) curve and concordance index were used to evaluate the performance of BRI and BMI in predicting stroke and Survival outcome.
resultsAfter adjusting for all confounding factors, weighted logistic regression and weighted Cox regression respectively showed that both BRI (odds ratio [OR]: 1.06, 95% confidence interval [CI]: 1.02-1.10, P = 0.004) and BMI (OR: 1.01, 95%CI 1.00-1.03, P = 0.03) were independently and positively associated with stroke. Meanwhile, both BRI (hazard ratio [HR]: 0.91, 95%CI 0.86-0.98, P = 0.01) and BMI (HR: 0.95, 95%CI 0.92-0.97, P < 0.0001) significantly reduced the risk of all-cause mortality among stroke survivors. The receiver operating characteristic (ROC) curve showed that the area under the curve (AUC) of BRI for predicting stroke was 0.62, while that of BMI was 0.545, and the difference between the two was significant (P
conclusionBoth the BRI and the BMI have verified the obesity and stroke paradox. BRI and the BMI are significantly positively correlated with stroke, and the BRI has a stronger ability to predict stroke than the BMI; however, both the BRI and the BMI are significantly negatively correlated with the prognosis of stroke survivors and have comparable predictive abilities.
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