Department of Cardiovascular and Thoracic Surgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China.
Department of General Practitioner, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325027, China.
Nutr Metab Cardiovasc Dis. 2024 Sep;34(9):2165-2172. doi: 10.1016/j.numecd.2024.06.002. Epub 2024 Jun 6.
The objective of our study was to examine the association between composite dietary antioxidant index (CDAI) and atherosclerotic cardiovascular disease (ASCVD) in adults.
Data was gathered from the National Health and Nutrition Examination Survey (NHANES) between 2001 and 2018. To examine the connection between CDAI and ASCVD, multiple logistic regression analyses were performed. Restricted cubic splines were utilized to examine non-linear correlations, and the inflection point was identified using a two-piecewise linear regression approach. Subgroup analyses were performed to demonstrate stability of results. A total of 44,494 individuals were included in the study. The multivariate logistic regression model was fully adjusted and revealed an odds ratio of 0.968 (95% CI: 0.959-0.978; P < 0.001) for the correlation between CDAI and ASCVD. Furthermore, individuals in the highest quartile of CDAI exhibited a decreased risk of ASCVD compared to those in the lowest quartile [0.716 (0.652-0.787); P < 0.001]. Moreover, restricted cubic spline (RCS) analysis revealed non-linear relationship between CDAI and ASCVD, with inflection point at -0.387. The analysis of subgroups showed that the importance of CDAI remained consistent among various age, sex, race, body mass index (BMI), and physical activity.
Our research revealed an inverse and non-linear relationship between CDAI and ASCVD in adults. The implications of these findings are significant for future studies and the formulation of dietary guidelines.
本研究旨在探讨复合饮食抗氧化指数(CDAI)与成年人动脉粥样硬化性心血管疾病(ASCVD)之间的关联。
数据来自 2001 年至 2018 年的国家健康与营养调查(NHANES)。为了检验 CDAI 与 ASCVD 之间的关系,我们进行了多项逻辑回归分析。利用限制立方样条检验非线性关系,并采用两段线性回归方法确定拐点。进行亚组分析以验证结果的稳定性。本研究共纳入 44494 名个体。经过多变量逻辑回归模型的完全调整,我们发现 CDAI 与 ASCVD 之间的比值比为 0.968(95%CI:0.959-0.978;P<0.001)。此外,与 CDAI 最低四分位组相比,最高四分位组的 ASCVD 发病风险降低[0.716(0.652-0.787);P<0.001]。此外,限制立方样条(RCS)分析显示 CDAI 与 ASCVD 之间存在非线性关系,拐点为-0.387。亚组分析表明,在不同年龄、性别、种族、体重指数(BMI)和身体活动水平的个体中,CDAI 的重要性保持一致。
本研究揭示了成年人 CDAI 与 ASCVD 之间呈负相关且非线性关系。这些发现对未来的研究和膳食指南的制定具有重要意义。