From the Department of Statistical Office (Cao), from the Science and Education Department (Xie), from the Rehabilitation Department (Zhang), from the Physical Examination Center (Zeng), The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha; and from the Pediatric Department (Liu), Shenzhen People's Hospital, China.
Saudi Med J. 2022 Feb;43(2):169-176. doi: 10.15537/smj.2022.43.2.20210824.
To investigate the possible relationship between visceral adiposity index (VAI) and carotid atherosclerosis(CAS) in different genders and age groups in China.
This study was an observational cross-sectional study and included 1996 participants who were health examination . From January 2018 to June 2019, people over 18 years old who had physical examinations were included in the study. Each participant completed a standard questionnaire, anthropometric measurements, ultrasonic examination, and provided blood samples for biochemical measurements. Regression models were utilized to evaluate the relationship between VAI and the CAS risk. An receiver operating characteristic (ROC) was utilized to predict VAI diagnostic efficacy for CAS.
Adjusting for potential confounding factors, the risk of CAS increases as the level of VAI increases, and the odds ratio (OR) of the upper tertile is 3.09 (95% confidence interval [CI]:1.64-5.82, <0.001) in female >44 years of age. In females aged >44 years, the AUC of the VAI (AUC=0.610, 95%CI: 0.57-0.65) was higher than body mass index, WC, and HC (AUC=0.538 [95%CI:0.49-0.58], 0.499 [95%CI:0.45-0.54], and 0.526 [95%CI:0.48-0.57], VAI demonstrated a better ability to predict CAS (in females >44 years of age). However, this correlation was not observed in males.
The relationship between VAI and CAS, with gender and age differences. Visceral adiposity index could be selected as new and simple predictors of CAS for females (>44 years of age) in China.
探讨内脏脂肪指数（VAI）与中国不同性别和年龄组颈动脉粥样硬化（CAS）之间的可能关系。
本研究为观察性横断面研究，纳入 1996 名健康体检者。2018 年 1 月至 2019 年 6 月，纳入接受体检的 18 岁以上人群。每位参与者完成一份标准问卷、人体测量、超声检查，并提供血液样本进行生化测量。回归模型用于评估 VAI 与 CAS 风险之间的关系。利用受试者工作特征（ROC）曲线预测 VAI 对 CAS 的诊断效能。
调整潜在混杂因素后，VAI 水平升高，CAS 风险增加，年龄>44 岁女性的上三分之一 VAI 的比值比（OR）为 3.09（95%置信区间[CI]：1.64-5.82，<0.001）。在年龄>44 岁的女性中，VAI 的 AUC（AUC=0.610，95%CI：0.57-0.65）高于 BMI、WC 和 HC（AUC=0.538[95%CI：0.49-0.58]、0.499[95%CI：0.45-0.54]和 0.526[95%CI：0.48-0.57]），VAI 对 CAS 有更好的预测能力（年龄>44 岁的女性）。然而，这种相关性在男性中没有观察到。
VAI 与 CAS 之间的关系存在性别和年龄差异。在中国，VAI 可作为女性（年龄>44 岁）新的简单的 CAS 预测指标。
