Datta Banik Sudip, Pacheco-Pantoja Elda, Lugo Roberto, Gómez-de-Regil Lizzette, Chim Aké Rodolfo, Méndez González Rosa María, Gutiérrez Solis Ana Ligia
Center for Research and Advanced Studies (Cinvestav-IPN), Merida, Yucatan, Mexico.
School of Medicine, Health Sciences Division, Universidad Anáhuac Mayab, Merida, Yucatan, Mexico.
Diabetes Metab Syndr Obes. 2021 Feb 16;14:691-701. doi: 10.2147/DMSO.S281894. eCollection 2021.
Metabolic syndrome (MetS) is a cluster of conditions that increases the risk of cardiovascular disease (CVD) and is related to genetic background, dietary habits, and lifestyle. Anthropometric indices and lipid parameters have been shown to be simple and useful tools in clinical practice for predicting MetS. The aim of the present study was to evaluate the differential magnitudes of anthropometric characteristics (waist circumference and body mass index [BMI]) and lipid parameters, namely, lipid accumulation product (LAP), cardiometabolic index (CMI), and Castelli Risk Index (CRI-I), to estimate MetS, usingappropriate cut-off values, among adults from a public hospital in Yucatan, Mexico.
A cross-sectional study among 250 adults (77 men, 173 women) was carried out in the Regional High Speciality Hospital of the Yucatan Peninsula (HRAEPY) in Merida, Yucatan. MetS was diagnosed using standard criteria (central obesity, arterial hypertension, hyperglycemia, and dyslipidemia), and derived parameters (LAP, CMI, and CRI-I) were calculated. Binary logistic regression analysis-based receiver operating characteristics (ROC) curves were used to predict MetS.
Of the 250 participants, 48% had MetS. High prevalences of overweight (35.2%) and obesity (48.8%) were found in the sample. The CMI and LAP were found to be the best parameters in the prediction of MetS in men and women. The optimal cut-off values of the parameters were higher in men and decreased with advancing age.
The CMI and LAP were shown to be the most effective indicators to diagnose MetS among adults from Yucatan, Mexico.
代谢综合征（MetS）是一组会增加心血管疾病（CVD）风险的病症，与遗传背景、饮食习惯和生活方式有关。人体测量指标和血脂参数已被证明是临床实践中预测MetS的简单且有用的工具。本研究的目的是评估人体测量特征（腰围和体重指数[BMI]）和血脂参数，即脂质蓄积产物（LAP）、心脏代谢指数（CMI）和卡斯泰利风险指数（CRI-I）的差异幅度，以使用适当的临界值在墨西哥尤卡坦半岛一家公立医院的成年人中估计MetS。
在尤卡坦州梅里达市的尤卡坦半岛地区高级专科医院（HRAEPY）对250名成年人（77名男性，173名女性）进行了横断面研究。采用标准标准（中心性肥胖、动脉高血压、高血糖和血脂异常）诊断MetS，并计算衍生参数（LAP、CMI和CRI-I）。基于二元逻辑回归分析的受试者工作特征（ROC）曲线用于预测MetS。
在250名参与者中，48%患有MetS。样本中超重（35.2%）和肥胖（48.8%）的患病率较高。发现CMI和LAP是预测男性和女性MetS的最佳参数。这些参数的最佳临界值在男性中较高，且随年龄增长而降低。
CMI和LAP被证明是诊断墨西哥尤卡坦半岛成年人MetS的最有效指标。
