He Feiying, Xu Xiangchun, Yu Hongwen, Miao Ziyang, Fu Zhaolin, Shi Lei
School of Health Management, Southern Medical University, Guangzhou, China.
Nanfang Hospital, Southern Medical University, Guangzhou, China.
BMC Public Health. 2025 Mar 26;25(1):1147. doi: 10.1186/s12889-025-22330-1.
Arthritis, a common condition in the U.S., is caused by autoimmune reactions, osteoarticular injuries, and uric acid deposition. It affects around 25% of adults and is strongly linked to cardiovascular disease. The American Heart Association's Life's Essential 8 (LE8) composite, which considers cardiovascular health factors, has been studied for its predictive capacity in assessing arthritis risk. The study aims to provide tailored prevention recommendations and monitor factors associated with arthritis within the LE8 framework specifically for arthritic individuals.
This population-based study used data from the U.S. NHANES (2017-2020) for adults aged 20 + . Multivariate logistic and restricted cubic spline modeling explored the relationship between LE8 and arthritis, revealing significant nonlinearity (P < 0.001). Gradient Boosting Decision Trees were employed to conduct a predictive model of Arthritis risk.
Through study, we found that idealer LE8 scores correlated with poorer arthritis risk. Subgroup analyses ideallighted poorer scores for smoking (P < 0.002, poor_socre and intermediate_score) and physical activity(P = 0.001, poor_score) as significant risk factors. Gradient Boosting Decision Trees predicted disease risk, with age, HDL cholesterol, and blood pressure identified as the three most significant predictive factors.
The LE8 score in U.S. adults shows a negative association with arthritis outcomes, with arthritis prevalence decreasing as the score increases. poorer Smoke and Physical Exercise Time components and intermediate Blood Glucose scores may be arthritis risk factors. The LE8 may help identify arthritis risk early and reduce its burden.
关节炎在美国是一种常见病症，由自身免疫反应、骨关节损伤和尿酸沉积引起。它影响约25%的成年人，并且与心血管疾病密切相关。美国心脏协会的生命基本8要素（LE8）综合指标考虑了心血管健康因素，其在评估关节炎风险方面的预测能力已得到研究。该研究旨在在LE8框架内为关节炎患者提供量身定制的预防建议并监测与关节炎相关的因素。
这项基于人群的研究使用了美国国家健康与营养检查调查（2017 - 2020年）中20岁及以上成年人的数据。多变量逻辑回归和受限立方样条建模探讨了LE8与关节炎之间的关系，揭示了显著的非线性（P < 0.001）。采用梯度提升决策树构建关节炎风险预测模型。
通过研究，我们发现LE8得分越高，关节炎风险越差。亚组分析表明，吸烟（P < 0.002，差得分和中等得分）和身体活动（P = 0.001，差得分）得分较低是显著风险因素。梯度提升决策树预测疾病风险，年龄、高密度脂蛋白胆固醇和血压被确定为三个最显著的预测因素。
美国成年人的LE8得分与关节炎结果呈负相关，随着得分增加关节炎患病率降低。较差的吸烟和体育锻炼时间指标以及中等的血糖得分可能是关节炎风险因素。LE8可能有助于早期识别关节炎风险并减轻其负担。
