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ABSTRACT: Background
The triglyceride-glucose (TyG) index and the atherogenic index of plasma (AIP) serve as biomarkers representing broad metabolic risks, and they are easy to obtain and cost-effective. However, there is a lack of extensive research investigating the relationship between these two metabolic markers and sarcopenia across various glucose metabolism statuses.Methods
Data were obtained from the NHANES 2011-2016. A weighted logistic regression model was conducted to assess the relationships between AIP, TyG, and sarcopenia across all participants and subgroups categorized by glucose metabolism status. Restricted cubic spline analysis was applied to investigate their dose-response patterns. Additionally, mediation analysis was performed to explore the mediating influence
SUBMITTER: Yao J
PROVIDER: S-EPMC12777334 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature