National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
NHC Key Laboratory of Public Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Nutrients. 2024 Sep 27;16(19):3275. doi: 10.3390/nu16193275.
Remnant cholesterol (RC) is highly associated with several chronic diseases. However, the relationship between RC and Metabolic syndrome (MetS) remains unclear. The study's objective is to illustrate the relationship of RC to MetS.
The data were collected from the Chinese Nutrition and Health Surveillance (2015-2017), which included personal, household and dietary information. A total of 65,618 residents aged 20 years or older from 31 provinces in mainland China were included in this study. RC was calculated by the equation RC = TC - (LDL-C + HDL-C). The criteria for MetS were based on the 2020 Chinese Type 2 Diabetes Prevention and Treatment Guidelines. Logistic regression models were used to analyse the relationship between RC and MetS and every MetS component. The receiver operating characteristic (ROC) curve was established to evaluate the accuracy of RC in identifying MetS, and the area under the curve (AUC) and the best threshold were calculated.
The weighted RC level of Chinese residents aged 20 years or older was 0.48 mmol/L. Participants with high RC levels were likely to be elderly, have a higher prevalence of MetS, higher total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), fasting blood glucose (FBG), hba1c, and lower high-density lipoprotein cholesterol (HDL-C). Sex, body mass index (BMI), education status, household yearly income per capita, marital status, area of the country, residence location, smoking status, fruit intake and sleep time had statistical differences in the RC group ( < 0.05). The OR of MetS gradually increased with an increase in the RC quartile ( < 0.01), and higher quartiles of RC (Q4) suggested the highest MetS risk. The prevalence of each MetS component gradually increased with an increase in the RC quartile. The ROC curve found that to identify MetS, the AUC and best threshold of RC were 0.71 and 0.52 mmol/L, respectively.
RC had a positive association with MetS and each MetS component. The accuracy in identifying MetS was higher in RC than in other indexes. The current study could provide new scientific evidence for the early prevention and control of MetS.
残余胆固醇(RC)与多种慢性疾病高度相关。然而,RC 与代谢综合征(MetS)之间的关系尚不清楚。本研究旨在阐明 RC 与 MetS 的关系。
数据来自中国营养与健康监测(2015-2017 年),包括个人、家庭和饮食信息。本研究共纳入中国大陆 31 个省、自治区、直辖市 65618 名 20 岁及以上居民。RC 通过方程 RC = TC - (LDL-C + HDL-C) 计算。MetS 的标准基于 2020 年中国 2 型糖尿病防治指南。采用 logistic 回归模型分析 RC 与 MetS 及每个 MetS 组分之间的关系。绘制受试者工作特征(ROC)曲线评估 RC 识别 MetS 的准确性,计算曲线下面积(AUC)和最佳截断值。
中国 20 岁及以上居民加权 RC 水平为 0.48mmol/L。RC 水平较高的参与者更可能为老年人,MetS 患病率更高,总胆固醇(TC)、三酰甘油(TG)、低密度脂蛋白胆固醇(LDL-C)、空腹血糖(FBG)、糖化血红蛋白(HbA1c)更高,高密度脂蛋白胆固醇(HDL-C)更低。性别、体质指数(BMI)、受教育程度、家庭人均年收入、婚姻状况、地区、居住地点、吸烟状况、水果摄入量和睡眠时间在 RC 组间有统计学差异(<0.05)。随着 RC 四分位组的升高,MetS 的比值比(OR)逐渐升高(<0.01),RC 四分位组最高(Q4)的 MetS 风险最高。随着 RC 四分位组的升高,每个 MetS 组分的患病率逐渐升高。ROC 曲线发现,识别 MetS 时,RC 的 AUC 和最佳截断值分别为 0.71 和 0.52mmol/L。
RC 与 MetS 及每个 MetS 组分呈正相关。RC 识别 MetS 的准确性高于其他指标。本研究可为 MetS 的早期预防和控制提供新的科学依据。