Wang Bo, Jiang Chunqi, Yu Pingping, Nie Zhen, Wang Ning, Zhang Xin
Central Hospital of Jinan City, Jinan, Shandong, China.
Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Front Endocrinol (Lausanne). 2025 Apr 15;16:1559413. doi: 10.3389/fendo.2025.1559413. eCollection 2025.
Metabolic Syndrome (MetS) is closely linked to cardiovascular disease. However, no studies have examined the relationship between Life's Crucial 9 (LC9) and MetS. Our goal is to investigate the potential association between LC9 and MetS.
We employed a weighted multivariate logistic regression model to evaluate the relationship between LC9, health behavior score, health factors score, and MetS. To assess the robustness of this association, we conducted sensitivity analyses. Furthermore, we utilized smooth curve fitting to investigate the potential curvilinear relationships between LC9, health behavior score, health factors score, and MetS. To pinpoint inflection points, we integrated recursive partitioning algorithms with a two-stage linear regression model. Additionally, we performed stratified analyses to explore heterogeneity across different population subgroups.
Our study included a total of 28,555 participants. In the regression model that accounted for all covariates, the OR for LC9 and MetS was 0.941 (0.939, 0.944), indicating a significant negative correlation between the two. Smooth curve analysis confirmed a curvilinear relationship between LC9 and MetS, with an inflection point at 70.56. The negative correlation was evident both before and after the inflection point, with a more pronounced effect after the inflection point. Subgroup analyses of Health behavior score and Health factors score, as well as stratified analyses by age, sex, and BMI, showed that all groups exhibited curvilinear relationships consistent with the overall pattern.
The curvilinear relationship between LC9 scores and metabolic syndrome indicates that higher LC9 scores act as a protective factor against MetS.
代谢综合征（MetS）与心血管疾病密切相关。然而，尚无研究探讨生命关键9项（LC9）与代谢综合征之间的关系。我们的目标是研究LC9与代谢综合征之间的潜在关联。
我们采用加权多变量逻辑回归模型来评估LC9、健康行为评分、健康因素评分与代谢综合征之间的关系。为评估这种关联的稳健性，我们进行了敏感性分析。此外，我们利用平滑曲线拟合来研究LC9、健康行为评分、健康因素评分与代谢综合征之间的潜在曲线关系。为确定拐点，我们将递归划分算法与两阶段线性回归模型相结合。此外，我们进行了分层分析，以探讨不同人群亚组之间的异质性。
我们的研究共纳入28555名参与者。在考虑所有协变量的回归模型中，LC9与代谢综合征的比值比为0.941（0.939，0.944），表明两者之间存在显著负相关。平滑曲线分析证实LC9与代谢综合征之间存在曲线关系，拐点为70.56。拐点前后均存在负相关，拐点后效应更明显。健康行为评分和健康因素评分的亚组分析，以及按年龄、性别和BMI进行的分层分析表明，所有组均呈现与总体模式一致的曲线关系。
LC9评分与代谢综合征之间的曲线关系表明，较高的LC9评分是预防代谢综合征的保护因素。
