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DEXA Scan Body Fat Mass Distribution in Obese and Non-Obese Individuals and Risk of NAFLD—Analysis of 10,865 Individuals

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. U...

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Autores principales: Tan, Caitlyn, Chan, Kai En, Ng, Cheng Han, Tseng, Michael, Syn, Nicholas, Tang, Ansel Shao Pin, Chin, Yip Han, Lim, Wen Hui, Tan, Darren Jun Hao, Chew, Nicholas, Ong, Elden Yen Hng, Koh, Teng Kiat, Xiao, Jieling, Chee, Douglas, Valsan, Arun, Siddiqui, Mohammad Shadab, Huang, Daniel, Noureddin, Mazen, Wijarnpreecha, Karn, Muthiah, Mark D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605163/
https://www.ncbi.nlm.nih.gov/pubmed/36294526
http://dx.doi.org/10.3390/jcm11206205
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author Tan, Caitlyn
Chan, Kai En
Ng, Cheng Han
Tseng, Michael
Syn, Nicholas
Tang, Ansel Shao Pin
Chin, Yip Han
Lim, Wen Hui
Tan, Darren Jun Hao
Chew, Nicholas
Ong, Elden Yen Hng
Koh, Teng Kiat
Xiao, Jieling
Chee, Douglas
Valsan, Arun
Siddiqui, Mohammad Shadab
Huang, Daniel
Noureddin, Mazen
Wijarnpreecha, Karn
Muthiah, Mark D.
author_facet Tan, Caitlyn
Chan, Kai En
Ng, Cheng Han
Tseng, Michael
Syn, Nicholas
Tang, Ansel Shao Pin
Chin, Yip Han
Lim, Wen Hui
Tan, Darren Jun Hao
Chew, Nicholas
Ong, Elden Yen Hng
Koh, Teng Kiat
Xiao, Jieling
Chee, Douglas
Valsan, Arun
Siddiqui, Mohammad Shadab
Huang, Daniel
Noureddin, Mazen
Wijarnpreecha, Karn
Muthiah, Mark D.
author_sort Tan, Caitlyn
collection PubMed
description 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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spelling pubmed-96051632022-10-27 DEXA Scan Body Fat Mass Distribution in Obese and Non-Obese Individuals and Risk of NAFLD—Analysis of 10,865 Individuals Tan, Caitlyn Chan, Kai En Ng, Cheng Han Tseng, Michael Syn, Nicholas Tang, Ansel Shao Pin Chin, Yip Han Lim, Wen Hui Tan, Darren Jun Hao Chew, Nicholas Ong, Elden Yen Hng Koh, Teng Kiat Xiao, Jieling Chee, Douglas Valsan, Arun Siddiqui, Mohammad Shadab Huang, Daniel Noureddin, Mazen Wijarnpreecha, Karn Muthiah, Mark D. J Clin Med Article 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. MDPI 2022-10-21 /pmc/articles/PMC9605163/ /pubmed/36294526 http://dx.doi.org/10.3390/jcm11206205 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tan, Caitlyn
Chan, Kai En
Ng, Cheng Han
Tseng, Michael
Syn, Nicholas
Tang, Ansel Shao Pin
Chin, Yip Han
Lim, Wen Hui
Tan, Darren Jun Hao
Chew, Nicholas
Ong, Elden Yen Hng
Koh, Teng Kiat
Xiao, Jieling
Chee, Douglas
Valsan, Arun
Siddiqui, Mohammad Shadab
Huang, Daniel
Noureddin, Mazen
Wijarnpreecha, Karn
Muthiah, Mark D.
DEXA Scan Body Fat Mass Distribution in Obese and Non-Obese Individuals and Risk of NAFLD—Analysis of 10,865 Individuals
title DEXA Scan Body Fat Mass Distribution in Obese and Non-Obese Individuals and Risk of NAFLD—Analysis of 10,865 Individuals
title_full DEXA Scan Body Fat Mass Distribution in Obese and Non-Obese Individuals and Risk of NAFLD—Analysis of 10,865 Individuals
title_fullStr DEXA Scan Body Fat Mass Distribution in Obese and Non-Obese Individuals and Risk of NAFLD—Analysis of 10,865 Individuals
title_full_unstemmed DEXA Scan Body Fat Mass Distribution in Obese and Non-Obese Individuals and Risk of NAFLD—Analysis of 10,865 Individuals
title_short DEXA Scan Body Fat Mass Distribution in Obese and Non-Obese Individuals and Risk of NAFLD—Analysis of 10,865 Individuals
title_sort dexa scan body fat mass distribution in obese and non-obese individuals and risk of nafld—analysis of 10,865 individuals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605163/
https://www.ncbi.nlm.nih.gov/pubmed/36294526
http://dx.doi.org/10.3390/jcm11206205
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