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

The global breast cancer burden associated with red meat consumption presents a complex paradox of declining age-standardized rates alongside rising absolute burden, with pronounced inequalities between developed and developing nations. The evolving relationship between healthcare workforce and disease burden highlights shifting dynamics from detection-driven increases to prevention-focused reductions. Strategic policy interventions should prioritize nursing and physical therapy workforce investment in developing regions, implement age-specific prevention strategies for younger populations (25-34 years), and establish context-specific dietary guidelines that consider socioeconomic factors to effectively reduce global breast cancer burden.

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Publication Details

Journal
Frontiers in Nutrition
Published
2025-08-14
DOI
https://doi.org/10.3389/fnut.2025.1576043
Citations
1
Primary Topic
Cancer Risks and Factors
Type
article
Field-Weighted Citation Impact
1.05
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article

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

Jing Qian, Yuzhou Cai
1 citations
Frontiers in Nutrition
Cancer Risks and Factors
1.05
article

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

Jing Qian, Yuzhou Cai
article en
1 citations

Abstract

The global breast cancer burden associated with red meat consumption presents a complex paradox of declining age-standardized rates alongside rising absolute burden, with pronounced inequalities between developed and developing nations. The evolving relationship between healthcare workforce and disease burden highlights shifting dynamics from detection-driven increases to prevention-focused reductions. Strategic policy interventions should prioritize nursing and physical therapy workforce investment in developing regions, implement age-specific prevention strategies for younger populations (25-34 years), and establish context-specific dietary guidelines that consider socioeconomic factors to effectively reduce global breast cancer burden.

Frontiers in NutritionVol. 12
Kunming Medical University (CN), First Affiliated Hospital of Kunming Medical University (CN)
Openalex Percentile: Top 18%
Cancer Risks and Factors
1.05
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