Trends in colorectal cancer burden attributable to lifestyle in China (1990–2021): based on the global burden of disease study, revealing declining impact of dietary factors and rising influence of tobacco, alcohol, and obesity
Zhaofu Qin, Ziyan Weng, Ting Ma, Wenjun Li, Xinyi Gao, Dening Ma

TL;DR
This study shows that while dietary improvements in China have reduced colorectal cancer burden, rising obesity and processed meat consumption are increasing risks, requiring targeted public health actions.
Contribution
The study identifies shifting lifestyle factors affecting colorectal cancer in China and projects future trends to guide public health strategies.
Findings
Dietary factors like low fiber and low calcium intake showed significant declines in CRC burden from 1990 to 2021.
Processed meat, alcohol, and high BMI are rising contributors to CRC, with high BMI projected to increase substantially through 2050.
ARIMA projections suggest continued declines in dietary risk-related CRC burden but rising threats from obesity.
Abstract
This study aimed to analyze trends in colorectal cancer (CRC) burden attributable to lifestyle factors in China (1990–2021), focusing on shifts of lifestyle, and to project future trajectories to inform public health strategies. Data from the Global Burden of Disease Study 2021 were utilized to assess deaths, disability-adjusted life years (DALYs), and age-standardized rates (ASRs) for CRC linked to nine lifestyle factors (including: diet low in whole grains, diet low in milk, diet low in fiber, diet low in calcium, diet high in red meat, diet high in processed meat, smoking, high alcohol use, and high BMI). Statistical analyses included estimated annual percentage change (EAPC), Joinpoint regression, age-period-cohort modeling, and Autoregressive Integrated Moving Average (ARIMA) projections (2022–2050). Between 1990 and 2021, the burden of CRC attributable to most dietary factors…
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Taxonomy
TopicsColorectal Cancer Screening and Detection · Nutritional Studies and Diet · Cancer Risks and Factors
