The role of predicted lean body mass and fat mass in non-alcoholic fatty liver disease in both sexes: Results from a secondary analysis of the NAGALA study
- PMID: 36742435
- PMCID: PMC9894318
- DOI: 10.3389/fnut.2023.1103665
The role of predicted lean body mass and fat mass in non-alcoholic fatty liver disease in both sexes: Results from a secondary analysis of the NAGALA study
Abstract
Objective: High body mass index (BMI) is an important risk factor for non-alcoholic fatty liver disease (NAFLD). However, the association of body composition such as fat mass (FM) and lean body mass (LBM) with NAFLD has not been adequately studied. The purpose of this study was to clarify the contribution of body composition FM and LBM to NAFLD.
Methods: We analyzed data from 7,411 men and 6,840 women in the NAGALA cohort study. LBM and FM were estimated for all subjects using validated anthropometric prediction equations previously developed from the National Health and Nutrition Examination Survey (NHANES). Using multiple logistic regression and restricted cubic spline (RCS) to analyze the association and the dose-response curve of predicted LBM and FM with NAFLD in both sexes.
Results: The prevalence of NAFLD in man and woman subjects was 27.37 and 6.99%, respectively. Predicted FM was positively and linearly associated with NAFLD in both sexes, with each 1 kg increase in predicted FM associated with a 27 and 40% increased risk of NAFLD in men and women, respectively. In contrast, predicted LBM was negatively associated with NAFLD in both sexes, with each 1 kg increase in predicted LBM reducing the risk of NAFLD by 4 and 19% in men and women, respectively. In addition, according to the RCS curve, the risk of NAFLD did not change in men when the predicted LBM was between 47 and 52 kg, and there seemed to be a saturation effect; further, the threshold value of the saturation effect was calculated to be about 52.08 kg by two-piecewise logistic regression, and the protective effect on NAFLD would be significantly enhanced when the man predicted LBM was greater than 52.08 kg.
Conclusion: The current findings suggested that body composition LBM and FM had opposite associations with NAFLD in both sexes, with higher LBM associated with a lower risk of NAFLD and higher FM increasing the risk of NAFLD, especially in women.
Keywords: LBM; body mass index; non-alcoholic fatty liver disease; predicted fat mass; predicted lean body mass.
Copyright © 2023 Kuang, Yang, Xie, Peng, Lu, Xie, Zhang and Zou.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Figures



Similar articles
-
Association of predicted fat mass and lean body mass with diabetes: a longitudinal cohort study in an Asian population.Front Nutr. 2023 May 9;10:1093438. doi: 10.3389/fnut.2023.1093438. eCollection 2023. Front Nutr. 2023. PMID: 37229472 Free PMC article.
-
Predicted Fat Mass, Lean Body Mass, and Risk of Hypertension: Results from a Chinese Male Cohort Study.Obes Facts. 2022;15(5):638-647. doi: 10.1159/000524653. Epub 2022 May 18. Obes Facts. 2022. PMID: 35584613 Free PMC article.
-
Association of Lean Body Mass and Fat Mass With 1-Year Mortality Among Patients With Heart Failure.Front Cardiovasc Med. 2022 Feb 28;9:824628. doi: 10.3389/fcvm.2022.824628. eCollection 2022. Front Cardiovasc Med. 2022. PMID: 35295256 Free PMC article.
-
The non-linear relationships between fat mass and lean body mass with arthritis.Lipids Health Dis. 2025 Apr 1;24(1):124. doi: 10.1186/s12944-025-02525-6. Lipids Health Dis. 2025. PMID: 40170043 Free PMC article.
-
Vitamin D status, body composition and hypertensive target organ damage in primary hypertension.J Steroid Biochem Mol Biol. 2014 Oct;144 Pt A:180-4. doi: 10.1016/j.jsbmb.2013.10.026. Epub 2013 Nov 1. J Steroid Biochem Mol Biol. 2014. PMID: 24189544 Review.
Cited by
-
Impact of segmental body composition on metabolic dysfunction-associated fatty liver disease in Chinese children.Front Endocrinol (Lausanne). 2025 Feb 17;16:1505050. doi: 10.3389/fendo.2025.1505050. eCollection 2025. Front Endocrinol (Lausanne). 2025. PMID: 40034234 Free PMC article.
References
LinkOut - more resources
Full Text Sources