Fork-First Fertility curates peer-reviewed research on fertility and food and builds personalised fertility food plans backed by the evidence.

Association between lipid accumulation product and visceral adiposity index with endometriosis: evidence from NHANES 1999-2006.

BMC women's health, 2025

Ma N, Hu Y, Xu Y.

View study

Abstract

BACKGROUND: Obesity has been linked to chronic inflammation and insulin resistance and oxidative stress, which are all associated with the pathogenesis of endometriosis (EMs). This study aimed to investigate the associations between the emerging metabolic markers-lipid accumulation product (LAP) and visceral adiposity index (VAI)-with the EMs. METHODS: This study utilized data from the National Health and Nutrition Examination Surveys (NHANES) 1999-2006. Weighted univariate and multivariate logistics regression models were conducted to explore the associations between LAP and VAI with EMs, with the results expressed as odds ratios (ORs) and 95% confidence intervals (CIs). Moreover, the subgroup analyses based on age, the history of pregnancy, chronic kidney disease (CKD), and female hormones use were further performed to verify whether theses associations remain robust. RESULTS: Totally 5,188 eligible women were included, with a mean age of 37.19 ± 0.18 years. Among them, 359 (6.92%) had EMs. After adjusted all covariates, we observed both highest LAP and VAI are associated with EMs (LAP: OR = 1.56, 95%CI: 1.02-2.39; VAI: OR = 1.54, 95%CI: 1.09-2.18). Subgroup analyses shown that the associations between LAP and VAI with EMs were more significant among women aged ≥ 35 years, with the female hormones use, with the history of pregnancy, and without the history of CKD. CONCLUSION: We observed both high LAP and VAI were associated with EMs among reproductive women in the United States. However, further large-scale, well-designed, prospective cohort studies still need in the future to confirm these findings.

This study is part of the research supporting the Fork-First Fertility approach.

Our proprietary algorithm determines whether these specific results are relevant for you, and suggests foods to eat and foods to avoid accordingly.

Learn more from our free assessment ->