ArticleObesity (Silver Spring, Md.)2022
Prediction of nonalcoholic fatty liver disease using anthropometry and body fat measures by sex and race/ethnicity in the United States.
Article in Obesity (Silver Spring, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Regional fat distribution and hepatic fibrosis and steatosis severity in patients with nonalcoholic fatty liver disease and type 2 diabetes.Obesity science & practice · 2024Article
- Waist Circumference as a Risk Factor for Non-Alcoholic Fatty Liver Disease in Older Adults in Guayaquil, Ecuador.Geriatrics (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
objectiveThe prevalence of nonalcoholic fatty liver disease (NAFLD) is increasing in the United States and is strongly linked to obesity in many, but not all, racial/ethnic groups. It is conceivable that the lack of correspondence is related to differential fat distribution. The study objective was to examine which fat distribution measures best predicted NAFLD by sex within racial/ethnic groups.
methodsThe analysis included 1,404 participants from the 2017-2018 National Health and Nutrition Examination Survey (NHANES). Area under the receiver operating characteristic curve (AUC) analyses compared the ability of dual-energy x-ray absorptiometry-measured percentage total fat and abdominal fat with measured BMI, waist circumference, and waist to height ratio to predict ultrasound transient-elastography-assessed NAFLD in each sex and racial/ethnic group.
resultsAUC analysis found the best predictors of NAFLD among men were waist circumference and total abdominal fat area (AUC: 84.1%) and the best predictor among women was visceral fat (AUC: 85.2). NAFLD prediction by body fat measures, however, was similar between racial/ethnic groups.
conclusionsThe best predictors of NAFLD, using body fat distribution measures, vary by sex but not by racial/ethnic group.
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Registered trials
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