Evidence map›Paper›PMID 40826342›Full record

ArticleBMC public health2025

Global, regional, and national burden of colorectal cancer associated with diet high in red meat, 1990 to 2021: an analysis for the global burden of disease study and prediction to 2036.

Huijun Lei, Miaomiao Chen, Haoyu Qu, Zuomei He, Hui Zhong, Liang Li, Mengzhou Xie

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Huijun LeiSchool of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, 410208, China.
Miaomiao ChenSchool of Dental Medicine, Hunan University of Chinese Medicine, Changsha, China.
Haoyu QuSchool of Information Science and Engineering, Hunan University of Chinese Medicine, Changsha, China.
Zuomei HeHunan Academy of Traditional Chinese Medicine Affiliated Hospital, Changsha, China.
Hui ZhongSchool of Dental Medicine, Hunan University of Chinese Medicine, Changsha, China.
Liang LiSchool of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, 410208, China. superliliang@126.com.
Mengzhou XieSchool of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, 410208, China. xiemengzhou@hnucm.edu.cn.

Funding

Key R&D Programme Project of Hunan Province 2022SK2018National Natural Youth Science Foundation of China 82205227Postgraduate Innovation Project of Hunan Provincial Department of Education CX20210707
6 · The paper itself

Abstract

objectiveTo evaluate the global, regional, and national burden of colorectal cancer (CRC) attributable to diets high in red meat from 1990 to 2021, project trends to 2036, and stratify findings by age, sex, and Sociodemographic Index (SDI).

methodsData on CRC burden associated with diet high in red meat were extracted from the Global Health Data Exchange (GHDx). Age-standardized rates (ASR) and estimated annual percentage change (EAPC) were calculated to assess temporal trends. Inequality slope and concentration indices quantified health disparities, while decomposition analyses identified drivers of burden changes. A Bayesian age-period-cohort (BAPC) model projected future trends through 2036.

resultsFrom 1990 to 2021, age-standardized mortality rates (EAPC = − 0.84%, 95% CI: − 0.87 to − 0.81) and disability-adjusted life years (DALYs) (EAPC = − 0.85, 95% CI: − 0.88 to − 0.81) for CRC attributable to high red meat intake declined globally. The reduction in DALYs was driven by decreasing years of life lost (YLLs; EAPC = − 0.9, 95% CI: − 0.93 to − 0.86), contrasting with rising years lived with disability (YLDs; EAPC = 0.45, 95% CI: 0.41–0.48). Males and older populations bore a disproportionate burden. Global population growth accounted for 99.73% of increased deaths, 112.77% of DALYs, 62.42% of YLDs, and 116.5% of YLLs. Inequality slope indices for mortality remained stable, while concentration indices for DALYs declined (deaths: 0.31 [95% CI: 0.28–0.34] to 0.26 [0.23–0.29]). Projections indicate declining age-standardized mortality and DALY rates by 2036, but absolute deaths, DALYs, and YLLs are expected to rise.

conclusionDespite declining age-standardized rates, the absolute burden of CRC associated with diet high in red meat persists, with marked disparities across regions and demographics. Population growth remains a critical driver, underscoring the need for targeted dietary interventions and equity-focused policies.

Indexed as

Colorectal NeoplasmsDietGlobal Burden of DiseaseGlobal HealthRed MeatAdultAgedDisability-Adjusted Life YearsFemaleForecastingHumansMaleMiddle AgedColorectal cancerDecompositionDisability-adjusted life yearsGlobal burden of diseaseHealth inequalityRed meat

Identifiers

PMID40826342
PMCPMC12359969

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.