ArticleDiabetology & metabolic syndrome2024
The nonlinear connection between relative fat mass and non-alcoholic fatty liver disease in the Japanese population: an analysis based on data from a cross-sectional study.
Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Article
- Prevalence and Risk Factors of MASLD in Prediabetes and Type 2 Diabetes Mellitus in Belgium and The Netherlands.Biomedicines · 2025Article
- Adiposity indices mediate the association between dietary inflammatory index and type 2 diabetes risk in women with prior gestational diabetes mellitus.Diabetology & metabolic syndrome · 2025Article
- Relative fat mass and risk of metabolic dysfunction associated steatotic liver disease and severe hepatic steatosis in U.S. adults: analysis of NHANES 2017-2020 data.BMC gastroenterology · 2025Article
- Association between relative fat mass and risk of gallstones in adults.Scientific reports · 2025Article
- Association between relative fat mass and risk of arthritis: a study based on populations in China and the United States.Frontiers in nutrition · 2025Article
- Association between relative fat mass and colorectal cancer: a cross-sectional study.Frontiers in nutrition · 2025Article
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Abstract
backgroundRelative fat mass (RFM) is a newly developed, sex-specific anthropometric formula designed to estimate total body fat percentage. However, research investigating the correlation between RFM and the risk of non-alcoholic fatty liver disease (NAFLD) remains limited. This study evaluates the association between RFM and the risk of NAFLD within the Japanese population.
methodsThis study including 14,250 Japanese adults who underwent physical examinations at Murakami Memorial Hospital between 2004 and 2015. We employed binary logistic regression to elucidate the direct relationship between RFM levels and the incidence of NAFLD. Additionally, a generalized additive model (GAM) coupled with smooth curve fitting techniques was utilized to map the non-linear association.
resultsThe cohort had an average age of 43.53 ± 8.89 years, with a male majority of 52.00%. NAFLD was identified in 17.59% of the participants. After adjusting for confounding factors, a significant positive correlation between RFM and NAFLD risk was observed (OR: 1.15, 95%CI: 1.10-1.21, P < 0.0001 for females; OR: 1.15, 95%CI: 1.10-1.19, P < 0.0001 for males). Additionally, a non-linear relationship between RFM and the incidence of NAFLD was detected in both genders. The RFM threshold was identified as 34.95 for women and 23.40 for men. RFM was positively associated with the risk of NAFLD when RFM was below the respective threshold (OR: 1.29, 95%CI: 1.19-1.40, P < 0.0001 for females; OR: 1.23, 95%CI: 1.17-1.29, P < 0.0001 for males), whereas no significant association was found when RFM was above the threshold (OR: 1.05, 95%CI: 0.98-1.12, P = 0.1829 for females; OR: 1.01, 95%CI: 0.95-1.08, P = 0.7392 for males).
conclusionOur findings suggest a positive, nonlinear relationship between RFM and the risk of NAFLD, with a saturation effect. These results imply that maintaining RFM at a lower level may be advantageous in mitigating the risk of NAFLD.
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