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中华脑血管病杂志(电子版) ›› 2026, Vol. 20 ›› Issue (01) : 42 -49. doi: 10.3877/cma.j.issn.1673-9248.2026.01.006

论著

基于NHANES数据库分析身体圆度指数与脑卒中风险的相关性
苏丞, 唐忠(), 陈思, 初明   
  1. 518100 广东 深圳,深圳市第三人民医院神经外科
  • 收稿日期:2025-10-01 出版日期:2026-02-01
  • 通信作者: 唐忠
  • 基金资助:
    深圳大学高水平临床专项—深圳市神经外科专科培训试点基地提升项目(LCXKB202415); 深圳市高水平医院建设专项经费资助

Correlation between body roundness index and risk of stroke: based on NHANES data

Cheng Su, Zhong Tang(), Si Chen, Ming Chu   

  1. Department of Neurosurgery, Shenzhen Third People's Hospital, Shenzhen 518100, China
  • Received:2025-10-01 Published:2026-02-01
  • Corresponding author: Zhong Tang
引用本文:

苏丞, 唐忠, 陈思, 初明. 基于NHANES数据库分析身体圆度指数与脑卒中风险的相关性[J/OL]. 中华脑血管病杂志(电子版), 2026, 20(01): 42-49.

Cheng Su, Zhong Tang, Si Chen, Ming Chu. Correlation between body roundness index and risk of stroke: based on NHANES data[J/OL]. Chinese Journal of Cerebrovascular Diseases(Electronic Edition), 2026, 20(01): 42-49.

目的

分析身体圆度指数(BRI)与脑卒中风险的相关性。

方法

纳入2005—2010年美国国家健康与营养调查(NHANES)数据库的199例脑卒中患者和8351例非脑卒中患者。以BRI为自变量,脑卒中为因变量,通过加权多元逻辑回归分析二者的相关性,并采用限制性立方样条(RCS)探索BRI与脑卒中之间的相关性。

结果

加权多元逻辑回归分析表明,BRI与脑卒中之间存在显著相关性(OR=1.22,95%CI:1.16~1.28,P<0.001)。在3种逻辑回归模型中(模型1不调整协变量;模型2根据年龄、性别、种族、婚姻状况、教育水平和贫困收入比值进行调整;模型3在模型2的基础上调整吸烟、饮酒、高血压、高脂血症、糖尿病、癌症、冠心病、睡眠时长、血清肌酐和血尿素氮),BRI与脑卒中风险之间均存在显著正相关(OR均>1,P均<0.05)。此外,在控制所有混杂因素后,RCS分析表明,BRI与脑卒中风险之间不存在任何非线性关系。

结论

BRI与脑卒中风险显著相关。BRI在预测脑卒中方面具有有效性和非侵入性,其有望成为早期发现和管理脑卒中的更好指标。

Objective

To identify the correlation between the body roundness index (BRI) and the risk of stroke.

Methods

Data from 199 stroke patients and 8351 non-stroke participants in the National Health and Nutrition Examination Survey (NHANES, 2005–2010) were analyzed. Weighted multiple Logistic regression and restricted cubic splines (RCS) were used to explore the relationship between BRI (independent variable) and stroke risk (dependent variable).

Results

A significant positive correlation between the BRI and the stroke was observed by weighted multiple Logistic regression analysis (OR=1.22, 95%CI: 1.16-1.28, P<0.001). In all three models (Model 1 does not adjust covariates; Model 2 is adjusted based on age, gender, race, marital status, education level, and poverty income ratio; Model 3 adjusts smoking, drinking, hypertension, hyperlipidemia, diabetes, cancer, coronary heart disease, sleep time, serum creatinine and blood urea nitrogen on the basis of model 2), a noteworthy positive relationship between BRI and the risk of stroke (all OR>1, all P<0.05) was found. Additionally, RCS analysis did not demonstrate any nonlinear relationship between BRI and stroke risk after controlling for all confounding factors.

Conclusion

BRI is significantly associated with stroke risk. Given its effectiveness and non-invasiveness, BRI is expected to serves as a promising indicator for early detection and management strategies of stroke.

表1 2005—2010年美国国家健康与营养调查数据库研究人群的基线特征比较
特征 非脑卒中组(n=8351) 脑卒中组(n=199) 统计值 P
年龄(岁,
±s
46.03±16.94 62.89±15.32 t=387 071.523 <0.001
性别[例(%)] χ2=0.827 0.796
男性 4491(53.78) 114(57.29)
女性 3860(46.22) 85(42.71)
种族[例(%)] χ2=20.315 0.046
拉美裔 1456(17.44) 20(10.05)
非拉美裔白人 4469(53.51) 116(58.29)
非拉美裔黑人 1441(17.26) 51(25.63)
其他种族 985(11.79) 12(6.03)
教育程度[例(%)] χ2=10.203 0.048
高中以下 1866(22.34) 60(30.15)
高中 4554(54.53) 87(43.72)
高中以上 1931(23.12) 52(26.13)
婚姻状况[例(%)] χ2=2.726 0.317
已婚/同居 5242(62.77) 113(56.78)
单身/丧偶/离婚/分居/未婚 3109(37.23) 86(43.22)
PIR[例(%)] χ2=19.195 <0.001
<1.3 2100(25.15) 61(30.65)
≥1.3且<3.5 3049(36.51) 92(46.23)
≥3.5 3202(38.34) 46(23.12)
吸烟情况[例(%)] χ2=36.884 <0.001
现在仍吸烟 2141(25.64) 58(29.15)
从前吸烟 2156(25.82) 84(42.21)
从不吸烟 4054(48.55) 57(28.64)
饮酒状况[例(%)] χ2=0.999 0.454
过度饮酒 1173(14.05) 28(14.07)
适量饮酒 6310(75.56) 146(73.37)
不饮酒 868(10.39) 25(12.56)
糖尿病[例(%)] χ2=90.151 <0.001
996(11.93) 69(34.67)
7355(88.07) 130(65.33)
高血压[例(%)] χ2=98.147 <0.001
3938(47.16) 165(82.91)
4413(52.84) 34(17.09)
高脂血症[例(%)] χ2=0.366 0.695
5729(68.60) 132(66.33)
2622(31.40) 67(33.67)
睡眠时长[例(%)] χ2=1.613 <0.001
<7 h 3176(38.03) 85(42.71)
≥7 h 5175(61.97) 114(57.29)
癌症[例(%)] χ2=50.152 <0.001
683(8.18) 45(22.61)
7668(91.82) 154(77.39)
冠心病[例(%)] χ2=80.398 <0.001
262(3.14) 30(15.08)
8089(96.86) 169(84.92)
血清肌酐(mg/dL,
±s
0.90±0.36 1.09±0.61 t=595 451.538 <0.001
血尿素氮(mg/dL,
±s
12.64±5.20 16.26±8.24 t=597 053.521 <0.001
BRI[例(%)] χ2=48.696 <0.001
Q1组 2119(25.37) 19(9.55)
Q2组 2101(25.16) 36(18.09)
Q3组 2076(24.86) 61(30.65)
Q4组 2055(24.61) 83(41.71)
表2 脑卒中相关因素的单变量逻辑回归分析结果
表3 身体圆度指数(BRI)与脑卒中风险的加权多元逻辑回归分析结果
表4 身体圆度指数与脑卒中风险之间关联的亚组分析
图1 身体圆度指数(BRI)与脑卒中关系的限制性立方样条曲线。图a为未经调整混杂因素时的关系;图b为完全调整混杂因素时的关系
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