RESULTS: 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.
CONCLUSIONS: 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.
结果:数据来自2001年至2018年的国家健康与营养检查调查(NHANES)。为了检查CDAI和ASCVD之间的联系,进行了多因素logistic回归分析.限制三次样条被用来检查非线性相关性,并使用两分段线性回归方法确定拐点。进行亚组分析以证明结果的稳定性。共有44,494名个体被纳入研究。对多变量逻辑回归模型进行了充分调整,显示CDAI和ASCVD之间的相关性比值比为0.968(95%CI:0.959-0.978;P<0.001)。此外,与最低四分位数的个体相比,CDAI最高四分位数的个体出现ASCVD的风险降低[0.716(0.652-0.787);P<0.001].此外,约束三次样条(RCS)分析揭示了CDAI和ASCVD之间的非线性关系,拐点为-0.387。亚组分析表明,CDAI的重要性在不同年龄之间保持一致,性别,种族,体重指数(BMI),和身体活动。
结论:我们的研究揭示了成人CDAI和ASCVD之间的反向和非线性关系。这些发现的意义对于未来的研究和饮食指南的制定具有重要意义。