CB07/08/0030 group, Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.
Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC-HCSC), Madrid, Spain.
Metab Syndr Relat Disord. 2021 Aug;19(6):352-357. doi: 10.1089/met.2020.0129. Epub 2021 Mar 11.
Our aim in this study was to investigate if Hip index (HI) improves the identification of cardiovascular risk (CVR) beyond that achieved with either the waist-to-height ratio (WHtR) or body mass index (BMI)-adjusted waist circumference (A body shape index [ABSI]) in the Spanish Caucasian population. Three thousand eight hundred forty-four subjects (1754 males, response rate 75.8%) were included. Anthropometric indices (AIs) included were HI, ABSI, and WHtR. CVR was estimated using the Framingham, Systematic COronary Risk Evaluation (SCORE), and American College of Cardiology/American Heart Association (ACC/AHA) charts. Areas under the receiver operating characteristic curve (AUC) were obtained to evaluate the performance of AIs in detecting CVR. We also estimated the AIs' standardized Z-scores and compared them against the CVR. AUC demonstrated that the best AI in males to estimate higher CVR according to Framingham and ACC/AHA charts was WHtR. In females, WHtR also achieved good performance and showed higher prediction capacity than the other AIs. After transforming to Z-scores, ABSI was the best linear predictor for CVR according to SCORE and ACC/AHA, although WHtR also proved to be good. HI did not associate with the measures of CVR. HI does not predict high CVR in the Spanish Caucasian Population. However, ABSI is directly and linearly related to high CVR, with a higher performance than WHtR when standardized and evaluated as a linear predictor.
我们这项研究的目的是探讨在西班牙白种人群中,髋关节指数(HI)是否比腰围身高比(WHtR)或体质指数(BMI)校正腰围(ABSI)更能改善心血管风险(CVR)的识别。共纳入 3844 名受试者(男性 1754 名,应答率为 75.8%)。纳入的人体测量学指标(AIs)包括 HI、ABSI 和 WHtR。使用 Framingham、系统性冠状动脉风险评估(SCORE)和美国心脏病学会/美国心脏协会(ACC/AHA)图表评估 CVR。获得受试者工作特征曲线下面积(AUC)以评估 AIs 检测 CVR 的性能。我们还估计了 AIs 的标准化 Z 分数,并将其与 CVR 进行了比较。AUC 表明,男性中最佳的 AI 是 WHtR,可根据 Framingham 和 ACC/AHA 图表估计更高的 CVR。在女性中,WHtR 也表现出良好的性能,并且比其他 AIs 具有更高的预测能力。转换为 Z 分数后,ABSI 是 SCORE 和 ACC/AHA 中预测 CVR 的最佳线性预测因子,尽管 WHtR 也表现良好。HI 与 CVR 测量值无关。HI 不能预测西班牙白种人群的高 CVR。然而,ABSI 与高 CVR 直接呈线性相关,当标准化并作为线性预测因子进行评估时,其性能优于 WHtR。