Association Between Remnant Cholesterol and Endometriosis Findings from NHANES 1999-2006

残余胆固醇与子宫内膜异位症之间的关联:来自1999-2006年NHANES的研究结果

阅读:3

Abstract

BACKGROUND: Endometriosis is a chronic gynecological disorder causing significant morbidity and health burden. Recent evidence suggests that lipid metabolism, particularly remnant cholesterol (RC), may be involved in its development. RC-the cholesterol content of triglyceride-rich lipoproteins (TGRLs), including chylomicrons, very low-density lipoproteins (VLDL), and intermediate-density lipoproteins (IDL). Elevated RC is closely associated with arteriosclerosis and increased cardiovascular disease incidence, making it a valuable biomarker for assessing cardiovascular health. This study explores the association between RC levels and endometriosis prevalence in a representative sample of women. METHODS: Using cross-sectional data from NHANES (1999-2006), we analyzed 1,979 women aged 20-54 years. Weighted logistic regression models were applied to assess the relationship between RC and endometriosis. Three models were used: unadjusted (Model 1), adjusted for age, ethnicity, education, and marital status (Model 2), and fully adjusted for additional variables (Model 3). Subgroup analyses and smoothing curve fitting were also performed. RESULTS: Elevated RC levels were significantly associated with higher endometriosis prevalence across all models. Each 1 mg/dL above the mean level of RC was linked to a 2.3% higher incidence of endometriosis (Model 1: OR 1.023, 95% CI 1.009-1.036, p = 0.001; Model 2: OR 1.022, p = 0.004; Model 3: OR 1.023, p = 0.022). Individuals in the highest RC tertile had a higher incidence of endometriosis compared to the lowest tertile (OR 1.833, p for trend = 0.077). A linear dose-response relationship was identified, with no threshold or saturation effects. CONCLUSION: The study indicates a strong correlation between elevated RC levels and increased endometriosis incidence, highlighting the potential role of lipid metabolism in endometriosis development.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。