{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T16:05:45Z","timestamp":1775059545568,"version":"3.50.1"},"reference-count":57,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T00:00:00Z","timestamp":1743033600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Nutr."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Endometriosis (EM) is a chronic gynecological disorder characterized by the growth of endometrial-like tissue outside the uterus, leading to pain and infertility. Recent studies suggest that antioxidants may play a protective role in the development of EM. However, the precise connection between the composite dietary antioxidant index (CDAI)\u2014a key measure of dietary antioxidants\u2014and EM risk remains unclear. This study aims to explore the relationship between CDAI and EM risk using data from the National Health and Nutrition Examination Survey (NHANES), potentially guiding dietary interventions for EM prevention.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This study analyzed data from the NHANES spanning 1999 to 2006. To investigate the relationship between the CDAI and the EM, a variety of statistical techniques were employed, including a weighted multiple logistic regression model, smooth curve fitting, machine learning analysis, and subgroup analyses.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>After controlling for potential confounding variables, the results indicated an inverse relationship between CDAI and EM (OR\u202f=\u202f0.92, 95% CI 0.86\u20130.98, <jats:italic>p<\/jats:italic>\u202f=\u202f0.011). Compared to participants in the lowest quartile (Q1), the odds ratios (OR) for higher CDAI in the other quartiles were as follows: Q2 (OR\u202f=\u202f0.84, 95% CI 0.45\u20131.57, <jats:italic>p<\/jats:italic>\u202f=\u202f0.576), Q3 (OR\u202f=\u202f0.64, 95% CI 0.33\u20131.24, <jats:italic>p<\/jats:italic>\u202f=\u202f0.172), and Q4 (OR\u202f=\u202f0.47, 95% CI 0.26\u20130.87, <jats:italic>p<\/jats:italic>\u202f=\u202f0.019). Among the various components of the CDAI, changes in vitamin A, vitamin E, and carotene were independently associated with the occurrence of EM, while both LASSO and RF machine learning algorithms consistently identified selenium and carotene as significant factors. Furthermore, subgroup analyses did not reveal significant interactions by age, body mass index, smoking, drinking, diabetes, or hypertension.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The findings of this extensive cross-sectional study indicate a clear negative linear correlation between the CDAI and EM in American adult women. It is therefore recommended that women incorporate a greater proportion of antioxidant-rich foods into their diet to assist in the prevention of EM.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fnut.2025.1572336","type":"journal-article","created":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T19:16:24Z","timestamp":1743102984000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Association of composite dietary antioxidant index and endometriosis risk in reproductive\u2014age women: a cross-sectional study using big data-machine learning 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