中国中老年女性脂质积累产物和内脏脂肪指数与膝骨关节炎的关联性
Association of lipid accumulation products and visceral fat index with knee osteoarthritis in middle-aged and elderly Chinese women
张浩运 1孙泽文 1赵夏 1于腾波2
作者信息
- 1. 青岛大学附属医院运动医学科,山东青岛 266003
- 2. 康复大学青岛医院(青岛市立医院);青岛大学运动医学与健康研究院
- 折叠
摘要
目的 探讨中国中老年女性脂质积累产物(LAP)和内脏脂肪指数(VAI)与膝骨关节炎(KOA)的关联性.方法 收集中国健康与养老追踪调查(CHARLS)数据库2011年的数据.采用Logistic回归和受试者工作特征(ROC)曲线分析LAP、VAI与KOA发病的关联.结果 中国≥45岁女性KOA的患病率为34.01％(1 257/3 696).单因素 Logistic 回归分析显示,LAP(OR=1.013,95％CI=1.012～1.014)、VAL(OR=1.137,95％CI=1.117～1.158)与 KOA 发病呈正相关.在调整混杂因素后,LAP(OR=1.003,95％CI=1.002～1.004)和 VAI(OR=1.048,95％CI=1.029～1.069)仍与KOA发病呈显著正相关.LAP的ROC曲线下面积(AUC)为0.725(95％CI=0.709～0.741),VAI 的 AUC 为 0.630(95％CI=0.613～0.647).结论 LAP 和 VAI 增高是 KOA 发病的危险因素.LAP对中老年女性KOA的发病有一定的预测价值.
Abstract
Objective To evaluate the association of lipid accumulation products(LAPs)and visceral adiposity index(VAI)with knee osteoarthritis(KOA)in middle-aged and elderly Chinese women.Methods The data were collected from the China Health and Retirement Longitudinal Study(CHARLS)database in 2011.The association of LAPs and VAI with the development of KOA was analyzed using the Logistic regression and receiver operating characteristic(ROC)curve.Results The prevalence of KOA was 34.01％(1 257/3 696)in Chinese women aged ≥45 years.Univariate Logistic regression analysis showed that in-creased LAPs(OR=1.013,95％CI=1.012-1.014)and VAL(OR=1.137,95％CI=1.117-1.158)were associated with the de-velopment of KOA.After adjustment for confounding factors,increased LAPs(OR=1.003,95％CI=1.002-1.004)and VAI(OR=1.048,95％CI=1.029-1.069)were still significantly associated with the development of KOA.The area under the ROC curve was 0.725(95％CI=0.709-0.741)for LAPs and 0.630(95％CI=0.613-0.647)for VAI.Conclusion Increased LAPs and VAI are risk factors for the development of KOA.LAPs has certain value in predicting the development of KOA in middle-aged and elderly women.
关键词
膝骨关节炎/脂质沉积指数/腹内脂肪Key words
knee osteoarthritis/lipid accumulation product/intra-abdominal fat引用本文复制引用
基金项目
山东省重点研发计划(2021)(31741063)
出版年
2024
国家科技期刊平台
NSTL
万方数据