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Background Endometriosis 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. Methods Data 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. Results This 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). Conclusion The 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. Supplementary Information The online version contains supplementary material available at 10.1186/s12944-024-02314-7.
Background Endometriosis 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. Methods Data 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. Results This 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). Conclusion The 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. Supplementary Information The online version contains supplementary material available at 10.1186/s12944-024-02314-7.
Background Endometriosis is a common cause of female reproductive problems, and vitamin intake may affect its incidence. Therefore, we further explored the association between multivitamin intake and endometriosis in a large population-based study. Methods This study included 3351 participants from the National Health and Nutrition Examination Survey (NHANES) 1999–2006. The dietary intake of eight vitamins was calculated as the average of two 24-h recall interviews, and information on endometriosis was obtained through questionnaires that included gynecological history. Multiple logistic regression analysis was used to explore the relationship between multivitamin intake and endometriosis. Smoothed curve fitting analysis was employed to assess the dose–response relationship between vitamins and endometriosis. Finally, subgroup analysis and interaction tests were conducted to determine the association of covariates between vitamins and endometriosis. Results In this large-scale cross-sectional study, multiple logistic regression analysis showed that the intake of vitamins A, B1, B2, B6, C and folate was negatively associated with the occurrence of endometriosis. The odds ratios associated with a per-SD increase were 0.836 (95%CI: 0.702, 0.997), 0.817 (95%CI: 0.702, 0.951), 0.860 (95%CI: 0.746, 0.991), 0.784 (95%CI: 0.669, 0.919), 0.845 (95%CI: 0.718, 0.994), and 0.772 (95%CI: 0.660, 0.903), respectively. Smoothed curve fitting analysis revealed that the intake of vitamins A, B1, B2, B6, C, and folate was negatively associated with the risk of endometriosis (P < 0.05). Vitamin E showed a saturating effect, with an optimal cutoff point at 13.18. Below this cutoff, the intake of vitamin E was negatively correlated with the risk of endometriosis (OR = 0.947, 95% CI: 0.906, 0.989), whereas above the cutoff, there was no significant correlation between vitamin E intake and the risk of endometriosis (OR = 1.001, 95% CI: 0.997, 1.005). Conclusions The results of this study indicate a significant linear negative correlation between the intake of vitamins A, B1, B2, B6, C, and folate, and the risk of endometriosis, and reveal a threshold effect for vitamin E intake on the risk of endometriosis. These findings could inform clinical dietary interventions and may support the development of preventive strategies for endometriosis, potentially aiding in its reduction. Supplementary Information The online version contains supplementary material available at 10.1186/s12978-024-01895-x.
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