Chen Huan, Wang Zhao, Du Ning, Oh Jinseok, Xu Jing, Liu Rongcan, Song Junlong, Zhang Junsheng, Kang Chan
Department of Orthopedic Surgery, Chungnam National University School of Medicine, Daejeon, Republic of Korea.
Department of Cosmetic Dermatology, University-Town Hospital of Chongqing Medical University, Chongqing, China.
Lipids Health Dis. 2024 Dec 20;23(1):415. doi: 10.1186/s12944-024-02392-7.
Life's Simple 7 (LS7), developed by the American Heart Association, addresses seven key health behaviors and relationship factors. Although LS7 has been studied in relation to various chronic diseases, its association with arthritis remains unclear. This study seeks to investigate the association between LS7 and arthritis, with particular emphasis on the mediating role of body fat percentage (BFP).
Data from the 2011-2018 National Health and Nutrition Examination Survey (NHANES), including 16,332 adult participants, were analyzed. The connection between LS7 and arthritis was evaluated using multivariable logistic regression, smooth curve fitting, and subgroup analysis. Mediation analysis assessed the role of BFP in this relationship. Additionally, ROC curve analysis was used to assess the predictive performance of the model, and the Boruta algorithm identified the influential factors associated with arthritis.
After adjusting for relevant covariables, each standard deviation increase in LS7 was linked to a 13% lower likelihood of arthritis [OR = 0.87, 95% CI: 0.84, 0.89]. Participants in the highest LS7 tertile (T3) exhibited a 50% reduced likelihood of developing arthritis compared to those in the lowest tertile (T1) [OR = 0.50, 95% CI: 0.43, 0.60]. Mediation analysis confirmed that BFP significantly mediated the LS7-arthritis relationship. Furthermore, the Boruta algorithm identified LS7 and BFP as key variables associated with arthritis.
Elevated LS7 scores were associated with a lower likelihood of arthritis, with BFP serving as a mediating factor. Improving LS7 scores and managing body fat may help prevent arthritis. Due to the study's cross-sectional design, causality cannot be confirmed. Future research should use longitudinal studies to verify these findings and target high-risk groups.
美国心脏协会制定的“生命简单七要素”(LS7)涵盖了七个关键的健康行为和关系因素。尽管已对LS7与各种慢性病的关系进行了研究,但其与关节炎的关联仍不明确。本研究旨在调查LS7与关节炎之间的关联,特别强调体脂百分比(BFP)的中介作用。
分析了2011 - 2018年国家健康与营养检查调查(NHANES)中16332名成年参与者的数据。使用多变量逻辑回归、平滑曲线拟合和亚组分析评估LS7与关节炎之间的联系。中介分析评估了BFP在这种关系中的作用。此外,采用ROC曲线分析评估模型的预测性能,并用Boruta算法确定与关节炎相关的影响因素。
在调整相关协变量后,LS7每增加一个标准差,患关节炎的可能性降低13%[比值比(OR)=0.87,95%置信区间(CI):0.84,0.89]。与最低三分位数(T1)的参与者相比,LS7最高三分位数(T3)的参与者患关节炎的可能性降低了50%[OR = 0.50,95% CI:0.43,0.60]。中介分析证实,BFP显著介导了LS7与关节炎的关系。此外,Boruta算法确定LS7和BFP是与关节炎相关的关键变量。
LS7得分升高与患关节炎的可能性较低相关,BFP是一个中介因素。提高LS7得分和控制体脂可能有助于预防关节炎。由于本研究为横断面设计,无法确定因果关系。未来的研究应采用纵向研究来验证这些发现,并针对高危人群。