Characterizing metabolomic signatures related to coffee and tea consumption and their association with incidence and dynamic progression of type 2 diabetes: A multi-state analysis

This is the accepted manuscript version of the work published in its final form as Zheng, G., Ran, S., Qian, Z., Tian, F., Shi, H., Elliott, M., Tabet, M., Yang, Y., & Lin, H. (2025). Characterizing metabolomic signatures related to coffee and tea consumption and their association with incidence and dynamic progression of type 2 diabetes: A multi-state analysis. American Journal of Epidemiology, 194(8), 2385-2393. https://doi.org/10.1093/aje/kwae400. Deposited by shareyourpaper.org and openaccessbutton.org. We've taken reasonable steps to ensure this content doesn't violate copyright. However, if you think it does you can request a takedown by emailing [email protected].