Why the study?
NAFLD is the most common chronic liver disease worldwide, yet predicting non-obese NAFLD remains challenging.
Does regional fat distribution measured by DXA predict the risk of NAFLD in obese and non-obese individuals?
Does regional fat distribution measured by DXA predict the risk of NAFLD in obese and non-obese individuals?
Increased truncal fat measured by DXA is a strong predictor of NAFLD risk, particularly in non-obese individuals, suggesting that regional fat distribution is a key metabolic risk marker.
May aid non-obese NAFLD risk stratification via DXA; leaves open prospective validation before clinical adoption.
Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide yet predicting non-obese NAFLD is challenging. Thus, this study investigates the potential of regional fat percentages obtained by dual-energy X-ray absorptiometry (DXA) in accurately assessing NAFLD risk. Using the United States National Health and Nutrition Examination Survey (NHANES) 2011−2018, multivariate logistic regression and marginal analysis were conducted according to quartiles of regional fat percentages, stratified by gender. A total of 23,752 individuals were analysed. Males generally showed a larger increase in marginal probabilities of NAFLD development than females, except in head fat, which had the highest predictive probabilities of non-obese NAFLD in females (13.81%, 95%CI: 10.82−16.79) but the lowest in males (21.89%, 95%CI: 20.12−23.60). Increased percent of trunk fat was the strongest predictor of both non-obese (OR: 46.61, 95%CI: 33.55−64.76, p < 0.001) and obese NAFLD (OR: 2.93, 95%CI: 2.07−4.15, p < 0.001), whereas raised percent gynoid and leg fat were the weakest predictors. Ectopic fat deposits are increased in patients with non-obese NAFLD, with greater increases in truncal fat over gynoid fat. As increased fat deposits in all body regions can increase odds of NAFLD, therapeutic intervention to decrease ectopic fat, particularly truncal fat, may decrease NAFLD risk.
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Tan et al. (2022) studied this question.
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