Association of composite dietary antioxidant index and endometriosis risk in reproductive—age women: a cross-sectional study using big data-machine learning approach

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.

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Publication Details

Journal
Frontiers in Nutrition
Published
2025-03-27
DOI
https://doi.org/10.3389/fnut.2025.1572336
Citations
3
Primary Topic
Endometriosis Research and Treatment
Type
article
Field-Weighted Citation Impact
5.09
Controls
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article

Association of composite dietary antioxidant index and endometriosis risk in reproductive—age women: a cross-sectional study using big data-machine learning approach

Zixuan Zeng, Jiajia Cheng, Chenyu Zhou, Zhang Fei et al.
3 citations
Frontiers in Nutrition
Endometriosis Research and Treatment
5.09
article

Association of composite dietary antioxidant index and endometriosis risk in reproductive—age women: a cross-sectional study using big data-machine learning approach

Zixuan Zeng, Jiajia Cheng, Chenyu Zhou, Zhang Fei, Wenxin Chen, Kui Xiao
article en
3 citations

Abstract

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.

Frontiers in NutritionVol. 12
Hengyang Normal University (CN), Jinan University (CN), Hunan Normal University (CN), Hunan Provincial Maternal and Child Health Hospital (CN)
Good health and well-being
Openalex Percentile: Top 6%
Endometriosis Research and Treatment
5.09
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