2022
DOI: 10.1007/s12072-022-10429-1
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Association of age at first birth and risk of non-alcoholic fatty liver disease in women: evidence from the NHANES

Abstract: BackgroundNumerous studies have suggested that age at rst birth (AFB) is inversely associated with metabolic diseases, but positively associated with liver cancer in women. Non-alcoholic fatty liver disease (NAFLD) is a canonical example of metabolic dysfunction and in ammation-based liver disease, while the association between AFB and risk of NAFLD remains unclear. We aimed to investigate the association between AFB and the odds of NAFLD in women. MethodsWomen older than 20 years at the time of the survey wer… Show more

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Cited by 9 publications
(11 citation statements)
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“…18 FLI is a validated index used to evaluate NAFLD non-invasively. [19][20][21][22][23]25 It is simple, cost-effective and reproducible, and can easily be adapted to identify individuals with a risk of NAFLD in clinical practice. [19][20][21][22][23][24] Although the FLI indirectly reflects the status of NAFLD, our findings might propose that a higher frequency of repeated detection of NAFLD using FLI, indicating a higher degree of NAFLD, can be used as one of the risk factors to predict the incidence risk of type 2 diabetes in young adults.…”
Section: Discussionmentioning
confidence: 99%
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“…18 FLI is a validated index used to evaluate NAFLD non-invasively. [19][20][21][22][23]25 It is simple, cost-effective and reproducible, and can easily be adapted to identify individuals with a risk of NAFLD in clinical practice. [19][20][21][22][23][24] Although the FLI indirectly reflects the status of NAFLD, our findings might propose that a higher frequency of repeated detection of NAFLD using FLI, indicating a higher degree of NAFLD, can be used as one of the risk factors to predict the incidence risk of type 2 diabetes in young adults.…”
Section: Discussionmentioning
confidence: 99%
“…The FLI is an accurate surrogate marker and has been well-validated. [19][20][21]24,25 The selection of study subjects based on the number of health examinations might be a source of bias because men and employee subscribers would probably participate in regular health check-ups. 41 Lastly, variables on family history of type 2 diabetes and metabolic syndrome and health behaviours, including dietary factors, were not obtained.…”
Section: Discussionmentioning
confidence: 99%
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