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ORIGINAL RESEARCH article

Front. Oncol.
Sec. Cancer Epidemiology and Prevention
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1524308
This article is part of the Research Topic The Impact of Advancing Global Oncology: Towards Equity in Precision Prevention and Medicine View all 5 articles

Global, Regional, and National Burden of Disease for Colorectal Cancer Attributable to Tobacco, Alcohol, and Obesity and Projections, 1990 to 2030

Provisionally accepted
Yuqi Deng Yuqi Deng 1yajie Wang yajie Wang 2xinyu Luo xinyu Luo 3jinsai Yang jinsai Yang 4Rou Long Rou Long 4Jieya Qiu Jieya Qiu 4Chaohui Zhang Chaohui Zhang 3Jianhong Zuo Jianhong Zuo 5*Jiale Li Jiale Li 4Lili Chen Lili Chen 1Guiyang Tang Guiyang Tang 4
  • 1 Department of Health, Inspection and Quarantine, School of Public Health, University of South China,, hengyang, China
  • 2 Department of Epidemiology and Biostatistics, School of Public Health, University of South China, hengyang, China
  • 3 Affiliated Nanhua Hospital, University of South China, Hengyang, Hunan Province, China
  • 4 Hengyang Medical College, University of South China, Hengyang, Hunan Province, China
  • 5 University of South China, Hengyang, China

The final, formatted version of the article will be published soon.

    Colorectal cancer (CRC) ranks among the highest in incidence and mortality rates globally. A significant portion of Colorectal cancer cases and deaths can be attributed to modifiable risk factors, with smoking, alcohol use, and high body mass index (BMI) being the three most prominent. However, the impact of these risk factors on Colorectal cancer across regions, genders, and age groups remains insufficiently characterized. Utilizing data from the Global Burden of Disease (GBD) study 2019, age-standardized mortality rate and age-standardized disability-adjusted life years data from 1990 to 2019 are collected, and restrictive cubic splines (RCS) and quantile regression analyses are applied to explore the relationship between the Socio-Demographic Index (SDI) and ASMR or ASDR. Additionally, gender differences, changes across different SDI levels, and age group trends in smoking, alcohol use, and high BMI over the 30-year period are analyzed. The Bayesian age-period-cohort (BAPC) model is employed to predict mortality trends from 2020 to 2030, aiming to explore the epidemiological and sociodemographic transitions in the Colorectal cancer disease burden attributed to smoking, alcohol use, and high BMI. In 2019, the number of colorectal cancer deaths globally attributable to risk factors as smoking, alcohol consumption, and obesity increased to 142,931, 52,495, and 85,882 cases respectively, collectively accounting for approximately one-third of all Colorectal cancer-related deaths. Notably, there is an upward trend in early-onset Colorectal cancer mortality associated with these factors. To reduce the burden of Colorectal cancer, it is recommended to enhance health education, promote smoking cessation and alcohol moderation, and increase the coverage and participation in Colorectal cancer screening, which are crucial for lowering Colorectal cancer mortality rates. These findings are vital for the development of public health policies and intervention measures to reduce the global disease burden. They provide guidance for Colorectal cancer prevention across different regions, genders, and age groups worldwide.

    Keywords: burden of disease, colorectal cancer, Smoking, alcohol use, High body mass index (high BMI)

    Received: 07 Nov 2024; Accepted: 15 Jan 2025.

    Copyright: © 2025 Deng, Wang, Luo, Yang, Long, Qiu, Zhang, Zuo, Li, Chen and Tang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jianhong Zuo, University of South China, Hengyang, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.