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Comparison of obesity-related indices for identifying nonalcoholic fatty liver disease: a population-based cross-sectional study in China

BACKGROUND: The relationship between nonalcoholic fatty liver disease (NAFLD) and obesity-related indices has been analyzed separately thus far, and evidence comparing these indices together is still lacking, especially in China. This study aimed to comprehensively evaluate the predictive performanc...

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Autores principales: Xie, Fangfei, Pei, Yuyu, Zhou, Quan, Cao, Deli, Wang, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502306/
https://www.ncbi.nlm.nih.gov/pubmed/34629056
http://dx.doi.org/10.1186/s12944-021-01560-3
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author Xie, Fangfei
Pei, Yuyu
Zhou, Quan
Cao, Deli
Wang, Yun
author_facet Xie, Fangfei
Pei, Yuyu
Zhou, Quan
Cao, Deli
Wang, Yun
author_sort Xie, Fangfei
collection PubMed
description BACKGROUND: The relationship between nonalcoholic fatty liver disease (NAFLD) and obesity-related indices has been analyzed separately thus far, and evidence comparing these indices together is still lacking, especially in China. This study aimed to comprehensively evaluate the predictive performance of anthropometric and metabolic indices to identify NAFLD in Chinese adults. METHODS: This study recruited a total of 1748 participants who were 18 years or older in southeastern China. The systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG), total cholesterol (TC), triglycerides (TGs), low-density lipoprotein (LDL), waist circumference (WC), a body shape index (ABSI), atherogenic index of plasma (AIP), abdominal volume index (AVI), body adiposity index (BAI), body mass index (BMI), body roundness index (BRI), conicity index (CI), triglyceride glucose (TyG), waist hip ratio (WHR), and waist height ratio (WHtR) were measured. The association between these indices and NAFLD was analyzed via logistic analyses with odds ratios (ORs). Receiver operating characteristic (ROC) curves and areas under the curve (AUCs) were used to compare the predictive performance of these indices to identify NAFLD. RESULTS: BMI had the greatest total AUC (AUC = 0.841) in the ROC curve analysis. However, BRI and BMI both had the best diagnostic ability in males (AUC = 0.812), and BRI had the best diagnostic ability in females (AUC = 0.849). Furthermore, AVI had the greatest AUC for patients who were ~ 20 (AUC = 0.892) and ~ 40 years old (AUC = 0.831), while TyG showed a higher predictive ability than AVI in those who were ~ 60 years old (AUC = 0.766). CONCLUSION: This study identified sex- and age-specific indices for predicting NAFLD in Chinese subjects. Compared with indices for all age groups, sex- and age-specific indices can provide more accurate assistance for clinical diagnosis and treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-021-01560-3.
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spelling pubmed-85023062021-10-20 Comparison of obesity-related indices for identifying nonalcoholic fatty liver disease: a population-based cross-sectional study in China Xie, Fangfei Pei, Yuyu Zhou, Quan Cao, Deli Wang, Yun Lipids Health Dis Research BACKGROUND: The relationship between nonalcoholic fatty liver disease (NAFLD) and obesity-related indices has been analyzed separately thus far, and evidence comparing these indices together is still lacking, especially in China. This study aimed to comprehensively evaluate the predictive performance of anthropometric and metabolic indices to identify NAFLD in Chinese adults. METHODS: This study recruited a total of 1748 participants who were 18 years or older in southeastern China. The systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG), total cholesterol (TC), triglycerides (TGs), low-density lipoprotein (LDL), waist circumference (WC), a body shape index (ABSI), atherogenic index of plasma (AIP), abdominal volume index (AVI), body adiposity index (BAI), body mass index (BMI), body roundness index (BRI), conicity index (CI), triglyceride glucose (TyG), waist hip ratio (WHR), and waist height ratio (WHtR) were measured. The association between these indices and NAFLD was analyzed via logistic analyses with odds ratios (ORs). Receiver operating characteristic (ROC) curves and areas under the curve (AUCs) were used to compare the predictive performance of these indices to identify NAFLD. RESULTS: BMI had the greatest total AUC (AUC = 0.841) in the ROC curve analysis. However, BRI and BMI both had the best diagnostic ability in males (AUC = 0.812), and BRI had the best diagnostic ability in females (AUC = 0.849). Furthermore, AVI had the greatest AUC for patients who were ~ 20 (AUC = 0.892) and ~ 40 years old (AUC = 0.831), while TyG showed a higher predictive ability than AVI in those who were ~ 60 years old (AUC = 0.766). CONCLUSION: This study identified sex- and age-specific indices for predicting NAFLD in Chinese subjects. Compared with indices for all age groups, sex- and age-specific indices can provide more accurate assistance for clinical diagnosis and treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-021-01560-3. BioMed Central 2021-10-10 /pmc/articles/PMC8502306/ /pubmed/34629056 http://dx.doi.org/10.1186/s12944-021-01560-3 Text en © The Author(s) 2021 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
Xie, Fangfei
Pei, Yuyu
Zhou, Quan
Cao, Deli
Wang, Yun
Comparison of obesity-related indices for identifying nonalcoholic fatty liver disease: a population-based cross-sectional study in China
title Comparison of obesity-related indices for identifying nonalcoholic fatty liver disease: a population-based cross-sectional study in China
title_full Comparison of obesity-related indices for identifying nonalcoholic fatty liver disease: a population-based cross-sectional study in China
title_fullStr Comparison of obesity-related indices for identifying nonalcoholic fatty liver disease: a population-based cross-sectional study in China
title_full_unstemmed Comparison of obesity-related indices for identifying nonalcoholic fatty liver disease: a population-based cross-sectional study in China
title_short Comparison of obesity-related indices for identifying nonalcoholic fatty liver disease: a population-based cross-sectional study in China
title_sort comparison of obesity-related indices for identifying nonalcoholic fatty liver disease: a population-based cross-sectional study in china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502306/
https://www.ncbi.nlm.nih.gov/pubmed/34629056
http://dx.doi.org/10.1186/s12944-021-01560-3
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