Unknown

Dataset Information

Models based on dietary nutrients predicting all-cause and cardiovascular mortality in people with diabetes.


ABSTRACT: Dietary intervention plays a vital role in improving the prognosis of people with diabetes mellitus (DM). Currently, there is a lack of systematic analysis of the relation between dietary nutrients and long-term mortality risk in people with DM. The study aims to establish models predicting long-term mortality and explore dietary nutrients associated with reduced long-term events to guide daily dietary decisions in people with DM. The retrospective cohort study collected 5060 participants with DM from the National Health and Nutrition Examination Survey (NHANES) 1999-2018. The least absolute shrinkage and selection operator (LASSO) regression and random forest (RF) algorithm were applied to identify key mortality-related dietary factors, which were subsequently incorporated into risk predi

SUBMITTER: Wang F 

PROVIDER: S-EPMC11805981 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature