Department of Nutrition, Henan Provincial People's Hospital and Zhengzhou University People's Hospital, Zhengzhou, China.
Department of Ultrasound, Henan Provincial People's Hospital and Zhengzhou University People's Hospital, Zhengzhou, China.
Front Endocrinol (Lausanne). 2023 Oct 20;14:1266207. doi: 10.3389/fendo.2023.1266207. eCollection 2023.
Carotid intima-media thickness (CIMT) has been shown to be a valuable predictor of cardiovascular diseases (CVDs). The aim of this study was to investigate the influencing factors of CIMT among adults in Central China.
A total of 2,578 participants who underwent physical examination in Henan Provincial People's Hospital between January 2018 and July 2018 were enrolled. The respondents were divided into two subgroups according to their CIMT value (CIMT ≥1.0 mm group and CIMT <1.0 mm group). Variables considered were age, gender, total cholesterol, triglycerides, low-density lipoprotein (LDL) and high-density lipoprotein (HDL) triglycerides, fasting blood glucose, and uric acid levels, as well as hypertension, diabetes, body mass index (BMI), waist-to-hip ratio, body fat percentage, and visceral fat area (VFA). Logistic regression analysis was performed to explore the potential factors influencing CIMT.
The proportion of CIMT ≥1.0 mm among the physical examination population was 27.42% (707/2 578). The analysis of the two groups revealed significant differences in age, sex, hypertension, diabetes, total cholesterol, and HDL cholesterol. In the logistic regression analysis, age (=1.071, 95%=1.062-1.080), male sex (=2.012, 95%=1.251-2.238), hypertension (=1.337, 95%=1.031-1.735), diabetes (=1.535, 95%=1.045-2.255), HDL cholesterol (=0.540, 95%=0.366-0.796), and LDL cholesterol (=1.336, 95%=1.154-1.544) were significantly associated with abnormal CIMT.
Early screening should be carried out among men, the older adults, and those with hypertension, diabetes, and dyslipidemia.
颈动脉内膜中层厚度（CIMT）已被证明是心血管疾病（CVD）的一个有价值的预测指标。本研究旨在探讨中国中部成年人 CIMT 的影响因素。
本研究共纳入 2018 年 1 月至 7 月在河南省人民医院体检的 2578 名参与者。根据 CIMT 值将受访者分为两组（CIMT≥1.0mm 组和 CIMT＜1.0mm 组）。考虑的变量包括年龄、性别、总胆固醇、甘油三酯、低密度脂蛋白（LDL）和高密度脂蛋白（HDL）胆固醇、空腹血糖和尿酸水平，以及高血压、糖尿病、体重指数（BMI）、腰臀比、体脂百分比和内脏脂肪面积（VFA）。采用 logistic 回归分析探讨影响 CIMT 的潜在因素。
体检人群中 CIMT≥1.0mm 的比例为 27.42%（707/2578）。两组分析显示，年龄、性别、高血压、糖尿病、总胆固醇和 HDL 胆固醇有显著差异。在 logistic 回归分析中，年龄（=1.071，95%置信区间[CI]：1.062-1.080）、男性（=2.012，95%CI：1.251-2.238）、高血压（=1.337，95%CI：1.031-1.735）、糖尿病（=1.535，95%CI：1.045-2.255）、HDL 胆固醇（=0.540，95%CI：0.366-0.796）和 LDL 胆固醇（=1.336，95%CI：1.154-1.544）与异常 CIMT 显著相关。
应在男性、老年人以及高血压、糖尿病和血脂异常患者中进行早期筛查。
