ArticleLipids in health and disease2024
Association between cardiometabolic Index (CMI) and endometriosis: a cross-sectional study on NHANES.
Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Association between carbohydrate-to-fiber ratio and endometriosis in U.S. women: mediating role of neutrophil-percentage-to-albumin ratio.Annals of medicine · 2026Article
- The association between cardiometabolic index and hypertension-diabetes comorbidity among adults aged 45 and older: evidence from two national databases.BMC endocrine disorders · 2026Article
- Lipid accumulation product and cardiometabolic index as indicators for sarcopenia: A cross-sectional study from NHANES 2011-2018.Scientific reports · 2025Article
- Cardiometabolic index as a predictor of gallstone risk: evidence from NHANES 2017-2020.BMC gastroenterology · 2025Article
- Association between cardiometabolic index and cardiovascular disease: evidence From the NHANES 2007-2018.Frontiers in cardiovascular medicine · 2025Article
- Gender differences in the relationship between cardiometabolic index and all-cause and specific mortality in the United States adults: a national study.Frontiers in endocrinology · 2025Article
- Correlation between cardiometabolic index and psoriasis: a cross-sectional analysis using NHANES data.Frontiers in physiology · 2025Article
- Association between cardiometabolic index and stroke risk: insights from the CHARLS cohort study.Frontiers in neurology · 2025Article
- Cardiometabolic Index is associated with heart failure: a cross-sectional study based on NHANES.Frontiers in medicine · 2024Article
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Abstract
backgroundEndometriosis is intricately linked to metabolic health. The Cardiometabolic Index (CMI), a novel and readily accessible indicator, is utilized to evaluate metabolic status. This study seeks to investigate the potential correlation between CMI and endometriosis.
methodsData from four consecutive survey cycles of the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2006 were utilized. This included adult females with self-reported diagnoses of endometriosis and complete information required for calculating the CMI. The calculation formula for CMI is Triglycerides(TG) / High-density lipoprotein cholesterol (HDL-C) × WHtR (WHtR = waist circumference / height). A multivariable logistic regression model was employed to investigate the linear association between CMI and endometriosis. Subgroup analyses were performed to explore potential influencing factors. Additionally, the linear relationship was validated using restricted cubic spline (RCS) curve plotting and threshold effect analysis.
resultsThis study, based on the National Health and Nutrition Examination Survey (NHANES), included a cohort of 2,224 adult women. The multivariable logistic regression analysis demonstrated that in the fully adjusted model, individuals with the highest CMI exhibited a 78% elevated likelihood of endometriosis compared to those with the lowest CMI (OR = 1.78; 95% CI, 1.02-3.11, P < 0.05). The subgroup analysis indicated that there were no significant interactions between CMI and specific subgroups (all interaction P > 0.05), except for the subgroup stratified by stroke status (P < 0.05). Additionally, the association between CMI and endometriosis was linear, with a 20% increase in the association for each unit increase in CMI when CMI > 0.67 (OR = 1.20; 95% CI, 1.05-1.37, P < 0.01).
conclusionThe study found that CMI levels are closely correlated with endometriosis, with this correlation increasing when the CMI exceeds 0.67. This finding implies that by regularly monitoring CMI levels, physicians may be able to screen women at risk for endometriosis at an earlier stage, thereby enabling the implementation of early interventions to slow the progression of the disease. To further validate these findings, larger-scale cohort studies are required to support the results of this research.
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