Wang Xufeng, Zou Guoqiang, Zhang Wenqi, Zhang Yi, Zheng Rongwei, Li Shufeng
The First Clinical Medical College, Shandong University of Traditional Chinese Medicine (SDUTCM), Jinan, Shandong Province, China.
Department of Orthopedic Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, Shandong Province, China.
PLoS One. 2025 Jun 26;20(6):e0326447. doi: 10.1371/journal.pone.0326447. eCollection 2025.
The number of arthritis samples in China has been increasing. Currently, there is limited research on the relationship between agricultural activities and arthritis. This study aimed to investigate the correlation between agricultural activities and arthritis risk based on the China Health and Retirement Longitudinal Study (CHARLS). A total of 694 participants from the 2015 CHARLS study were included, with 443 samples as controls and 251 samples classified as affected. Baseline characteristics of all participants were compared using the Student t-test and Chi-square test. Subsequently, the association between agricultural activities and arthritis risk was explored through multivariable generalized linear models (GLM) and weighted logistic regression models. Additionally, the diagnostic performance and clinical utility of agricultural activities for arthritis were evaluated using receiver operating characteristic (ROC) curves and decision curve analysis. Finally, the difference in model prediction performance before and after adjusting for covariates was assessed using the net reclassification index (NRI) and integrated discrimination improvement (IDI). Five covariates showed significant associations with arthritis, and agricultural activities had a significant effect (P = 0.026). Furthermore, a significant positive correlation was observed between agricultural activities and arthritis (Model 1: odds ratio (OR)=1.44, 95% confidence interval (95%CI): 1.06-1.97, P = 0.021; Model 2: OR=1.61, 95%CI: 1.17-2.24, P = 0.004; Model 3: OR=1.74, 95%CI: 1.17-2.60, P = 0.007). Risk stratification analysis further indicated that agricultural activities were a risk factor for arthritis (OR=1.736, 95%CI: 1.168-2.597, P < 0.01). Moreover, after adjusting for covariates, ROC curve analysis and decision curve analysis demonstrated good predictive performance of agricultural activities for arthritis. Lastly, the NRI and IDI indices indicated that Model 3 outperformed Models 1 and 2 in prediction performance. In conclusion, a significant positive correlation existed between agricultural activities and arthritis risk, providing insights for the early detection and prevention of arthritis.
中国关节炎样本数量一直在增加。目前,关于农业活动与关节炎之间关系的研究有限。本研究旨在基于中国健康与养老追踪调查(CHARLS)探究农业活动与关节炎风险之间的相关性。2015年CHARLS研究共纳入694名参与者,其中443个样本作为对照,251个样本被归类为患病。使用学生t检验和卡方检验比较所有参与者的基线特征。随后,通过多变量广义线性模型(GLM)和加权逻辑回归模型探讨农业活动与关节炎风险之间的关联。此外,使用受试者工作特征(ROC)曲线和决策曲线分析评估农业活动对关节炎的诊断性能和临床效用。最后,使用净重新分类指数(NRI)和综合鉴别改善(IDI)评估调整协变量前后模型预测性能的差异。五个协变量与关节炎存在显著关联,农业活动有显著影响(P = 0.026)。此外,观察到农业活动与关节炎之间存在显著正相关(模型1:比值比(OR)=1.44,95%置信区间(95%CI):1.06 - 1.97,P = 0.021;模型2:OR = 1.61,95%CI:1.17 - 2.24,P = 0.004;模型3:OR = 1.74,95%CI:1.17 - 2.60,P = 0.007)。风险分层分析进一步表明农业活动是关节炎的一个风险因素(OR = 1.736,95%CI:1.168 - 2.597,P < 0.01)。此外,在调整协变量后,ROC曲线分析和决策曲线分析表明农业活动对关节炎具有良好的预测性能。最后,NRI和IDI指数表明模型3在预测性能方面优于模型1和模型2。总之,农业活动与关节炎风险之间存在显著正相关,为关节炎的早期检测和预防提供了见解。