{"title":"身体圆度指数和身体质量指数都增加了中风的患病率,但降低了全因死亡率的风险。","authors":"Yaying Xu, Lele Chen, Jianqiang Zhang","doi":"10.1186/s41043-025-01052-5","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objective: </strong>Obesity 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.</p><p><strong>Methods: </strong>The 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.</p><p><strong>Results: </strong>After 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<sub>DeLong</sub> < 0.001). The time-dependent c-index curve demonstrated that BRI and BMI had comparable abilities to predict the risk of all-cause mortality among stroke survivors.</p><p><strong>Conclusion: </strong>Both 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.</p>","PeriodicalId":15969,"journal":{"name":"Journal of Health, Population, and Nutrition","volume":"44 1","pages":"340"},"PeriodicalIF":2.8000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12486518/pdf/","citationCount":"0","resultStr":"{\"title\":\"Both body roundness index and the body mass index increase the prevalence of stroke but reduce the risk of all-cause mortality.\",\"authors\":\"Yaying Xu, Lele Chen, Jianqiang Zhang\",\"doi\":\"10.1186/s41043-025-01052-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and objective: </strong>Obesity 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.</p><p><strong>Methods: </strong>The 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.</p><p><strong>Results: </strong>After 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<sub>DeLong</sub> < 0.001). The time-dependent c-index curve demonstrated that BRI and BMI had comparable abilities to predict the risk of all-cause mortality among stroke survivors.</p><p><strong>Conclusion: </strong>Both 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.</p>\",\"PeriodicalId\":15969,\"journal\":{\"name\":\"Journal of Health, Population, and Nutrition\",\"volume\":\"44 1\",\"pages\":\"340\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12486518/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Health, Population, and Nutrition\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s41043-025-01052-5\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Health, Population, and Nutrition","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s41043-025-01052-5","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
背景与目的:肥胖是中风的危险因素之一。身体圆度指数(Body round Index, BRI)是基于偏心率理论,结合身高和腰围提出的一种新型肥胖指标,它比传统指标更准确地反映了内脏脂肪的水平。然而,它与中风的关系尚不清楚。本研究旨在比较BRI和身体质量指数(BMI)与脑卒中及其预后的关系。方法:对2003 - 2018年全国健康与营养检查调查(NHANES) 29745名参与者的数据进行分析。基于加权logistic回归、加权COX回归和受限三次样条分析BRI和BMI与卒中几率和全因死亡风险的相关性;采用受试者工作特征(ROC)曲线和一致性指数评价BRI和BMI在预测卒中和生存结局方面的表现。结果:对所有混杂因素进行校正后,加权logistic回归和加权Cox回归分别显示BRI(比值比[OR]: 1.06, 95%可信区间[CI]: 1.02-1.10, P = 0.004)和BMI (OR: 1.01, 95%CI 1.00-1.03, P = 0.03)与卒中独立正相关。同时,BRI(风险比[HR]: 0.91, 95%CI 0.86-0.98, P = 0.01)和BMI(风险比[HR]: 0.95, 95%CI 0.92-0.97, P = 0.01)均证实了肥胖与卒中悖论。BRI与BMI与脑卒中呈显著正相关,BRI对脑卒中的预测能力强于BMI;然而,BRI和BMI都与中风幸存者的预后呈显著负相关,并且具有相当的预测能力。
Both body roundness index and the body mass index increase the prevalence of stroke but reduce the risk of all-cause mortality.
Background and objective: Obesity 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.
Methods: The 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.
Results: After 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 (PDeLong < 0.001). The time-dependent c-index curve demonstrated that BRI and BMI had comparable abilities to predict the risk of all-cause mortality among stroke survivors.
Conclusion: Both 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.
期刊介绍:
Journal of Health, Population and Nutrition brings together research on all aspects of issues related to population, nutrition and health. The journal publishes articles across a broad range of topics including global health, maternal and child health, nutrition, common illnesses and determinants of population health.