医学
全国健康与营养检查调查
逻辑回归
横断面研究
线性回归
骨关节炎
回归分析
风险因素
人口学
内科学
环境卫生
统计
病理
人口
社会学
数学
替代医学
作者
Jie Huang,Jiaheng Han,Rigbat Rozi,Bensheng Fu,Zhengcao Lu,Jiang Liu,Yu Ding
标识
DOI:10.1016/j.ypmed.2024.107861
摘要
Using cross-sectional data from the 2017–2020 National Health and Nutrition Examination Survey (NHANES) for American, the aim of this research is to investigate the potential association between Lipid Accumulation Products (LAP) and the risk of osteoarthritis (OA). Data from the NHANES (2017–2020) were downloaded and further analyzed. The participants between 20 and 80 years reported having OA, and other relevant variables and information on LAP were included. The linear and non-linear associations between LAP and OA were evaluated using multivariable logistic regression analysis and smoothed curve fitting methods. A two-part linear regression model was also used to estimate threshold effects. The increased risk of OA was shown to have a nonlinear relationship with higher LAP, showing a solid threshold impact with a saturation value of 120.00 cm × mmol/L, according to our data. The two variables showed a positive relationship to the left of the saturation point but no significant association to the right, pointing to a complicated nonlinear relationship between OA prevalence and LAP. Our findings revealed that LAP was an independent risk factor for OA when it was <120.00 cm × mmol/L. The LAP index may serve as a valuable method for predicting and diagnosed OA. To validate our results, further large-scale prospective research are required.
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