Ontology highlight
ABSTRACT: Background
The distribution of diet-attributable cancer burden has not been systematically analyzed globally. This study aimed to analyze the diet-attributable cancer burden using the Global Burden of Disease (GBD) database to provide insights into reducing the dietary risk-related cancer burden across regions with different development levels.Methods
Data on cancer deaths and disability-adjusted life years (DALYs) attributable to diet were downloaded from the GBD database (1990-2021). The cancer burden attributable to nine dietary factors and total dietary factors was sorted, and Joinpoint regression analysis was performed according to the Socio-Demographic Index (SDI) regions. Then, using the DALYs data, a health inequality analysis was conducted, and the Slope Index of I
SUBMITTER: Li X
PROVIDER: S-EPMC12487502 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature