Association between TyG-related parameters and non-alcoholic fatty liver disease risk in non-obese individuals: a cross-sectional study based Japanese population

Association between TyG-related parameters and non-alcoholic fatty liver disease risk in non-obese individuals: a cross-sectional study based Japanese population | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Association between TyG-related parameters and non-alcoholic fatty liver disease risk in non-obese individuals: a cross-sectional study based Japanese population Xiuli Wang, Jie Liu, Ke Yu, Zhenhua Huang, Hanxiong Liu, Xiang Li This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4291578/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 28 Feb, 2025 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract The incidence of non-alcoholic fatty liver disease (NAFLD) in non-obese populations is also on the rise but is often overlooked. Therefore, this study aims to investigate the relationship between triglyceride-glucose (TyG) related parameters (TyG-BMI, TyG-WC, TyG-WHtR) and NAFLD in non-obese individuals to enhance early detection and intervention for NAFLD in this population. We conducted a cross-sectional analysis using data from the NAGALA database, covering 11,987 participants who underwent health examinations between 2004 and 2015. Logistic regression models were employed to assess the relationship between TyG-related parameters and NAFLD risk, incorporating cubic spline functions and smooth curve fitting to explore potential nonlinear relationships between TyG-related parameters and NAFLD risk. ROC curve analysis was performed to evaluate their predictive performance. After adjusting for confounding variables, the incidence of NAFLD in non-obese individuals increased with higher TyG-related parameters. Moreover, we identified nonlinear relationships between TyG index and its related parameters with NAFLD risk, along with critical inflection points. Additionally, the area under the ROC curve for TyG index and its related parameters were 0.7984, 0.8553, 0.8584, and 0.8353, respectively, with a more pronounced effect observed in the female population. There exists a nonlinear relationship between TyG-related parameters and the risk of NAFLD occurrence, revealing various turning points associated with NAFLD risk. Notably, TyG-related parameters outperform the TyG index in predicting NAFLD, especially in females. These findings establish crucial theoretical foundations for future research in NAFLD prevention and treatment for non-obese population. Health sciences/Biomarkers Health sciences/Diseases Health sciences/Health care TyG index TyG-related parameters NAFLD non-obese individual Japanese population Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 28 Feb, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 18 Nov, 2024 Reviews received at journal 04 Nov, 2024 Reviewers agreed at journal 04 Nov, 2024 Reviews received at journal 23 Jun, 2024 Reviewers agreed at journal 09 Jun, 2024 Reviewers invited by journal 03 Jun, 2024 Editor assigned by journal 03 Jun, 2024 Editor invited by journal 25 Apr, 2024 Submission checks completed at journal 22 Apr, 2024 First submitted to journal 19 Apr, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4291578","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":294029719,"identity":"85ecc672-820e-462d-96d8-0ca7db31cf3b","order_by":0,"name":"Xiuli Wang","email":"","orcid":"","institution":"The First People’s Hospital of Chenzhou","correspondingAuthor":false,"prefix":"","firstName":"Xiuli","middleName":"","lastName":"Wang","suffix":""},{"id":294029720,"identity":"dd3e621a-6683-4a73-89d2-c6d9ca3ae8ee","order_by":1,"name":"Jie Liu","email":"","orcid":"","institution":"Shenzhen New Frontier United Family 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