Global trends and health workforce analysis of breast cancer burden from high red meat consumption 1990-2050 using machine learning approach.

ABSTRACT:

Background

High red meat consumption has been implicated in breast cancer development, yet comprehensive global burden assessments and health system relationships remain limited.

Methods

We analyzed breast cancer mortality and disability-adjusted life years (DALYs) using Global Burden of Disease 2021 data across 204 countries. Age-period-cohort analysis, decomposition analysis, health inequality assessment, frontier analysis, and correlation analysis with healthcare workforce density were employed. Machine learning models (ARIMA, Prophet) provided projections to 2050.

Results

Despite declining global age-standardized mortality rates (APC: -0.772%), absolute breast cancer deaths increased from 45,074 (1990) to 81,506 (2021), with DALYs rising from 1.4 to 2.5 million. P

SUBMITTER: Cai Y 

PROVIDER: S-EPMC12390816 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature