ArticleScientific reports2024
Non-linear relationship between relative fat mass and diabetes risk in Japanese adults: a retrospective cohort study.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- The impact of obesity-related anthropometric indices on diabetic foot ulcer and mortality: analysis of a nationally representative sample.Hormones (Athens, Greece) · 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
- Relative Fat Mass and Physical Indices as Predictors of Gallstone Formation: Insights From Machine Learning and Logistic Regression.International journal of general medicine · 2025Article
- Relative fat mass is associated with vitamin D deficiency in individuals with diabetes: evidence from NHANES and a Chinese cohort.Frontiers in endocrinology · 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
- U-shaped relationship between the triglyceride glucose index and the risk of incident diabetes among MASLD adults: a retrospective cohort study.Frontiers in endocrinology · 2025Article
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5 authors.
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Abstract
backgroundRelative fat mass (RFM) represents a newly developed sex-specific anthropometric formula to estimate total body fat percentage. Nonetheless, research examining the correlation between RFM and the risk of diabetes remains scarce. This research assessed the link between RFM and DM risk within the Japanese demographic.
methodsFrom 2004 to 2015, 15,462 Japanese individuals without diabetes underwent physical evaluations at Murakami Memorial Hospital. The relationship between RFM and the onset of diabetes was analyzed separately using Cox proportional-hazards regression models. This study employed Cox proportional hazards regression incorporating cubic spline functions and smooth curve fitting to detect non-linear associations between RFM and new cases of diabetes, categorized by sex. Sensitivity analyses were performed to confirm the robustness of the link between RFM and incident diabetes.
resultsAfter controlling for confounding factors, a significant positive correlation between RFM and diabetes risk was found in women (HR: 1.13, 95%CI: 1.04-1.24, P = 0.0061), while the association in men was not statistically significant (HR: 1.05, 95%CI: 0.98-1.13, P = 0.1511). Additionally, a non-linear relationship between RFM and the incidence of diabetes was detected in both genders. The RFM threshold was identified at 39.23 for women and 23.08 for men. For women, HR was 1.11 (95%CI: 1.01-1.21) below the threshold and 1.39 (95%CI: 1.17-1.65) above it. In men, an RFM above 23.08 was positively related to diabetes risk (HR: 1.16, 95%CI: 1.06-1.28, P = 0.0012), whereas an RFM below this point did not show a significant association (HR: 0.98, 95%CI: 0.91-1.06, P = 0.5899).
conclusionOur findings suggest a non-linear relationship and threshold effect between RFM and the risk of diabetes. These findings imply that maintaining RFM at lower levels may be beneficial in mitigating the onset of DM.
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