An optimized anthropometric index-a body shape index-cm-demonstrates superior performance in cardiovascular risk stratification.

IF 1.4 4区 医学 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
Journal of International Medical Research Pub Date : 2025-05-01 Epub Date: 2025-05-24 DOI:10.1177/03000605251343018
Jiayu Tian, Xuejie Wang, Xiaoqin Wen, Bo Gao
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引用次数: 0

Abstract

ObjectiveA body shape index is a novel indicator for assessing central obesity, but its relationship with cardiovascular disease and mortality remains unclear. This study aimed to assess whether a body shape index-cm, a refined version of a body shape index, improves cardiovascular risk stratification.MethodsUsing data from the National Health and Nutrition Examination Survey from 1999 to 2018, along with follow-up mortality data until 2019, we conducted an observational study to evaluate the performance of a body shape index-cm in identifying cardiovascular disease and predicting mortality. We compared a body shape index-cm with traditional anthropometric indices by employing receiver operating characteristic curve analysis, Cox proportional hazards regression, restricted cubic spline, and Kaplan-Meier survival analysis.ResultsAmong 47,668 participants, a body shape index-cm emerged as a superior screening tool for cardiovascular diseases, achieving an area under the curve of 0.701, surpassing those of waist-to-height ratio (0.631), waist circumference (0.624), and body mass index (0.556). A body shape index-cm showed the highest accuracy in identifying coronary heart disease (area under the curve: 0.728). A linear relationship was observed between a body shape index-cm and cardiovascular mortality risk, with each standard deviation increase in a body shape index-cm associated with a 20% increase in mortality risk.ConclusionsA body shape index-cm outperforms traditional measures in identifying cardiovascular disease and shows a linear correlation with cardiovascular mortality.

优化的人体测量指数-体型指数-cm-在心血管风险分层中表现优异。
目的体型指数是评价中心性肥胖的新指标,但其与心血管疾病和死亡率的关系尚不清楚。这项研究的目的是评估体型指数——厘米,一种改进版的体型指数,是否能改善心血管风险分层。方法利用1999 - 2018年全国健康与营养调查数据,以及截至2019年的随访死亡率数据,进行了一项观察性研究,以评估体型指数cm在识别心血管疾病和预测死亡率方面的表现。我们采用受试者工作特征曲线分析、Cox比例风险回归、受限三次样条和Kaplan-Meier生存分析,将体型指数cm与传统的人体测量指标进行比较。结果在47,668名参与者中,体型指数(cm)成为心血管疾病的优越筛查工具,曲线下面积为0.701,超过腰高比(0.631)、腰围(0.624)和体重指数(0.556)。体型指数-cm在识别冠心病方面准确率最高(曲线下面积:0.728)。观察到体型指数-cm与心血管死亡风险之间存在线性关系,体型指数-cm每增加一个标准差,死亡风险增加20%。结论体型指数cm在识别心血管疾病方面优于传统指标,与心血管疾病死亡率呈线性相关。
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来源期刊
CiteScore
3.20
自引率
0.00%
发文量
555
审稿时长
1 months
期刊介绍: _Journal of International Medical Research_ is a leading international journal for rapid publication of original medical, pre-clinical and clinical research, reviews, preliminary and pilot studies on a page charge basis. As a service to authors, every article accepted by peer review will be given a full technical edit to make papers as accessible and readable to the international medical community as rapidly as possible. Once the technical edit queries have been answered to the satisfaction of the journal, the paper will be published and made available freely to everyone under a creative commons licence. Symposium proceedings, summaries of presentations or collections of medical, pre-clinical or clinical data on a specific topic are welcome for publication as supplements. Print ISSN: 0300-0605
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