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Gender differences in the ideal cutoffs of visceral fat area for predicting MAFLD in China

BACKGROUND: Since the discovery of metabolic-associated fatty liver disease (MAFLD) in 2020, no report on the connection between the visceral fat area (VFA) and MAFLD has been published in China, and the ideal cutoffs of VFA for predicting MAFLD has not been determined so far. Thus, the purpose of t...

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Autores principales: Yu, Pingping, Yang, Huachao, Qi, Xiaoya, Bai, Ruixue, Zhang, Shouqin, Gong, Jianping, Mei, Ying, Hu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805250/
https://www.ncbi.nlm.nih.gov/pubmed/36585702
http://dx.doi.org/10.1186/s12944-022-01763-2
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author Yu, Pingping
Yang, Huachao
Qi, Xiaoya
Bai, Ruixue
Zhang, Shouqin
Gong, Jianping
Mei, Ying
Hu, Peng
author_facet Yu, Pingping
Yang, Huachao
Qi, Xiaoya
Bai, Ruixue
Zhang, Shouqin
Gong, Jianping
Mei, Ying
Hu, Peng
author_sort Yu, Pingping
collection PubMed
description BACKGROUND: Since the discovery of metabolic-associated fatty liver disease (MAFLD) in 2020, no report on the connection between the visceral fat area (VFA) and MAFLD has been published in China, and the ideal cutoffs of VFA for predicting MAFLD has not been determined so far. Thus, the purpose of this research was to clarify the relationship between VFA and MAFLD and the ideal cutoffs of VFA to predict MAFLD in the Chinese population. METHODS: Five thousand three hundred forty subjects were included in this research, with 30% randomly selected for the validation set (n = 1602) and 70% for the Training set (n = 3738). The association between VFA and MAFLD was determined by multiple logistic regression. ROC curves were used to evaluate the prediction effect of VFA on MAFLD. RESULTS: Multiple logistic regression analysis revealed that the VFA ORs (95% CIs) were 1.25 (1.20, 1.29) for women and 1.15 (1.12, 1.17) for men. Meanwhile, the VFA quartile OR (95% CI) were 3.07 (1.64, 5.75), 7.22 (3.97, 13.14), 18.91 (10.30, 34.71) for women and 3.07 (1.64, 5.75), 7.22 (3.97, 13.14),18.91 (10.30, 34.71) for men in the Q2, Q3, and Q4 groups compared with Q1. The ROC curve showed the VFA, WC, WHR, and WHtR to predict MAFLD, the AUC value of VFA was the highest and the prediction effect was the best. The ideal cutoffs of VFA to predict MAFLD was 115.55 cm(2) for women and 178.35 cm(2) for men, and the AUC was 0.788 and 0.795, respectively. Finally, the AUC was 0.773 for women and 0.800 for men in the validation set. CONCLUSION: VFA was an independent predictive factor for MAFLD, and the ideal cutoff of VFA to predict MAFLD was 115.55 cm(2) in women and 178.35 cm(2) in men. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-022-01763-2.
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spelling pubmed-98052502023-01-01 Gender differences in the ideal cutoffs of visceral fat area for predicting MAFLD in China Yu, Pingping Yang, Huachao Qi, Xiaoya Bai, Ruixue Zhang, Shouqin Gong, Jianping Mei, Ying Hu, Peng Lipids Health Dis Research BACKGROUND: Since the discovery of metabolic-associated fatty liver disease (MAFLD) in 2020, no report on the connection between the visceral fat area (VFA) and MAFLD has been published in China, and the ideal cutoffs of VFA for predicting MAFLD has not been determined so far. Thus, the purpose of this research was to clarify the relationship between VFA and MAFLD and the ideal cutoffs of VFA to predict MAFLD in the Chinese population. METHODS: Five thousand three hundred forty subjects were included in this research, with 30% randomly selected for the validation set (n = 1602) and 70% for the Training set (n = 3738). The association between VFA and MAFLD was determined by multiple logistic regression. ROC curves were used to evaluate the prediction effect of VFA on MAFLD. RESULTS: Multiple logistic regression analysis revealed that the VFA ORs (95% CIs) were 1.25 (1.20, 1.29) for women and 1.15 (1.12, 1.17) for men. Meanwhile, the VFA quartile OR (95% CI) were 3.07 (1.64, 5.75), 7.22 (3.97, 13.14), 18.91 (10.30, 34.71) for women and 3.07 (1.64, 5.75), 7.22 (3.97, 13.14),18.91 (10.30, 34.71) for men in the Q2, Q3, and Q4 groups compared with Q1. The ROC curve showed the VFA, WC, WHR, and WHtR to predict MAFLD, the AUC value of VFA was the highest and the prediction effect was the best. The ideal cutoffs of VFA to predict MAFLD was 115.55 cm(2) for women and 178.35 cm(2) for men, and the AUC was 0.788 and 0.795, respectively. Finally, the AUC was 0.773 for women and 0.800 for men in the validation set. CONCLUSION: VFA was an independent predictive factor for MAFLD, and the ideal cutoff of VFA to predict MAFLD was 115.55 cm(2) in women and 178.35 cm(2) in men. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-022-01763-2. BioMed Central 2022-12-31 /pmc/articles/PMC9805250/ /pubmed/36585702 http://dx.doi.org/10.1186/s12944-022-01763-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yu, Pingping
Yang, Huachao
Qi, Xiaoya
Bai, Ruixue
Zhang, Shouqin
Gong, Jianping
Mei, Ying
Hu, Peng
Gender differences in the ideal cutoffs of visceral fat area for predicting MAFLD in China
title Gender differences in the ideal cutoffs of visceral fat area for predicting MAFLD in China
title_full Gender differences in the ideal cutoffs of visceral fat area for predicting MAFLD in China
title_fullStr Gender differences in the ideal cutoffs of visceral fat area for predicting MAFLD in China
title_full_unstemmed Gender differences in the ideal cutoffs of visceral fat area for predicting MAFLD in China
title_short Gender differences in the ideal cutoffs of visceral fat area for predicting MAFLD in China
title_sort gender differences in the ideal cutoffs of visceral fat area for predicting mafld in china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805250/
https://www.ncbi.nlm.nih.gov/pubmed/36585702
http://dx.doi.org/10.1186/s12944-022-01763-2
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