2023
DOI: 10.3389/fnut.2023.1113789
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Association between daidzein intake and metabolic associated fatty liver disease: A cross-sectional study from NHANES 2017–2018

Abstract: BackgroundMetabolic associated fatty liver disease (MAFLD) has become the most common liver disease globally, yet no new drugs have been approved for clinical treatment. Therefore, we investigated the relationship between dietary intake of soy-derived daidzein and MAFLD, to find potentially effective treatments.MethodsWe conducted a cross-sectional study using data from 1,476 participants in National Health and Nutrition Examination Survey (NHANES) from 2017 to 2018 and their associated daidzein intake from th… Show more

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Cited by 11 publications
(6 citation statements)
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“…In another study of ours, we found that with an increase in dietary intake of the antioxidant daidzein from soy, the prevalence of MAFLD and CAP values decreased. This suggests that dietary intake of antioxidants from soy may help reduce liver fat levels, although no significant reduction in LSM values in patients was observed 69 . RCS analysis exhibited a significant linear relationship between LSM and CDAI in males and a non-linear relationship in females after stratification by gender.…”
Section: Discussionmentioning
confidence: 94%
“…In another study of ours, we found that with an increase in dietary intake of the antioxidant daidzein from soy, the prevalence of MAFLD and CAP values decreased. This suggests that dietary intake of antioxidants from soy may help reduce liver fat levels, although no significant reduction in LSM values in patients was observed 69 . RCS analysis exhibited a significant linear relationship between LSM and CDAI in males and a non-linear relationship in females after stratification by gender.…”
Section: Discussionmentioning
confidence: 94%
“…The android-to-gynoid ratio is significantly associated with obesity-related diseases such as non-alcoholic fatty liver disease, insulin resistance, and postmenopausal osteoporosis. 15,28,29 WC has been proposed as a surrogate for indirectly assessing visceral fat gain and as an indicator of abdominal obesity in the diagnosis of MetS. 30 However, similar to BMI, WC by itself cannot quantify abdominal fat content and distribution.…”
Section: Discussionmentioning
confidence: 99%
“…We collected variables including age (divided into 2-6, 7-11, and 12-17 years old) [ 16 ], gender, race, poverty-to-income ratio (PIR) (divided into <1, and ≥1) [ 17 ], household smoke exposure, family history of asthma, physical activity, sedentary time, pregnant smoking, breast feeding, low birth weight, BMI Z-score, and energy intake from the NHANES database.…”
Section: Methodsmentioning
confidence: 99%