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Long-Time Trend of Colorectal Cancer Mortality Attributable to High Processed Meat Intake in China and a Bayesian Projection from 2020 to 2030: A Model-Based Study

Colorectal cancer is among the leading causes of cancer worldwide. Processed meat was known to be positively associated with a higher risk of gastrointestinal cancer. This study focused on the long-time trends of colorectal cancer mortality attributable to high processed meat intake in China from 19...

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Autores principales: Chen, Fangyao, Chen, Shiyu, Luo, Yaqi, Si, Aima, Yang, Yuhui, Li, Yemian, Hu, Weiwei, Zhang, Yuxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517814/
https://www.ncbi.nlm.nih.gov/pubmed/36078321
http://dx.doi.org/10.3390/ijerph191710603
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author Chen, Fangyao
Chen, Shiyu
Luo, Yaqi
Si, Aima
Yang, Yuhui
Li, Yemian
Hu, Weiwei
Zhang, Yuxiang
author_facet Chen, Fangyao
Chen, Shiyu
Luo, Yaqi
Si, Aima
Yang, Yuhui
Li, Yemian
Hu, Weiwei
Zhang, Yuxiang
author_sort Chen, Fangyao
collection PubMed
description Colorectal cancer is among the leading causes of cancer worldwide. Processed meat was known to be positively associated with a higher risk of gastrointestinal cancer. This study focused on the long-time trends of colorectal cancer mortality attributable to high processed meat intake in China from 1990 to 2019 and the projection for the next decade based on data obtained from the Global Burden of Disease 2019 study. We used an age-period-cohort model to fit the long-time trend. The joinpoint model was conducted to estimate the average and annual change of the attributable mortality. The Bayesian age-period-cohort model was used to project the crude attributable mortality from 2020 to 2030. An upward trend in colorectal cancer mortality attributable to high processed meat intake was observed for both sexes in China from 1990 to 2019, with an overall net drift of 4.009% for males and 2.491% for females per year. Projection analysis suggested that the burden of colorectal cancer incidence and mortality would still be high. Our findings suggested that colorectal cancer death attributable to high processed meat intake is still high in China, and elderly males were at higher risk. Gradually decreasing the intake of processed meat could be an effective way to reduce colorectal cancer mortality.
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spelling pubmed-95178142022-09-29 Long-Time Trend of Colorectal Cancer Mortality Attributable to High Processed Meat Intake in China and a Bayesian Projection from 2020 to 2030: A Model-Based Study Chen, Fangyao Chen, Shiyu Luo, Yaqi Si, Aima Yang, Yuhui Li, Yemian Hu, Weiwei Zhang, Yuxiang Int J Environ Res Public Health Article Colorectal cancer is among the leading causes of cancer worldwide. Processed meat was known to be positively associated with a higher risk of gastrointestinal cancer. This study focused on the long-time trends of colorectal cancer mortality attributable to high processed meat intake in China from 1990 to 2019 and the projection for the next decade based on data obtained from the Global Burden of Disease 2019 study. We used an age-period-cohort model to fit the long-time trend. The joinpoint model was conducted to estimate the average and annual change of the attributable mortality. The Bayesian age-period-cohort model was used to project the crude attributable mortality from 2020 to 2030. An upward trend in colorectal cancer mortality attributable to high processed meat intake was observed for both sexes in China from 1990 to 2019, with an overall net drift of 4.009% for males and 2.491% for females per year. Projection analysis suggested that the burden of colorectal cancer incidence and mortality would still be high. Our findings suggested that colorectal cancer death attributable to high processed meat intake is still high in China, and elderly males were at higher risk. Gradually decreasing the intake of processed meat could be an effective way to reduce colorectal cancer mortality. MDPI 2022-08-25 /pmc/articles/PMC9517814/ /pubmed/36078321 http://dx.doi.org/10.3390/ijerph191710603 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Fangyao
Chen, Shiyu
Luo, Yaqi
Si, Aima
Yang, Yuhui
Li, Yemian
Hu, Weiwei
Zhang, Yuxiang
Long-Time Trend of Colorectal Cancer Mortality Attributable to High Processed Meat Intake in China and a Bayesian Projection from 2020 to 2030: A Model-Based Study
title Long-Time Trend of Colorectal Cancer Mortality Attributable to High Processed Meat Intake in China and a Bayesian Projection from 2020 to 2030: A Model-Based Study
title_full Long-Time Trend of Colorectal Cancer Mortality Attributable to High Processed Meat Intake in China and a Bayesian Projection from 2020 to 2030: A Model-Based Study
title_fullStr Long-Time Trend of Colorectal Cancer Mortality Attributable to High Processed Meat Intake in China and a Bayesian Projection from 2020 to 2030: A Model-Based Study
title_full_unstemmed Long-Time Trend of Colorectal Cancer Mortality Attributable to High Processed Meat Intake in China and a Bayesian Projection from 2020 to 2030: A Model-Based Study
title_short Long-Time Trend of Colorectal Cancer Mortality Attributable to High Processed Meat Intake in China and a Bayesian Projection from 2020 to 2030: A Model-Based Study
title_sort long-time trend of colorectal cancer mortality attributable to high processed meat intake in china and a bayesian projection from 2020 to 2030: a model-based study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517814/
https://www.ncbi.nlm.nih.gov/pubmed/36078321
http://dx.doi.org/10.3390/ijerph191710603
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