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Interactions between life expectancy and the incidence and mortality rates of cancer in China: a population-based cluster analysis
BACKGROUND: The relationship between cancer and life expectancy is well established in both developed and developing countries. China is a vast country with significant geographical differences in population structure and healthcare, and thus provides a unique opportunity to analyze the complex rela...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029078/ https://www.ncbi.nlm.nih.gov/pubmed/29970165 http://dx.doi.org/10.1186/s40880-018-0308-x |
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author | Gu, Xiuying Zheng, Rongshou Xia, Changfa Zeng, Hongmei Zhang, Siwei Zou, Xiaonong Yang, Zhixun Li, He Chen, Wanqing |
author_facet | Gu, Xiuying Zheng, Rongshou Xia, Changfa Zeng, Hongmei Zhang, Siwei Zou, Xiaonong Yang, Zhixun Li, He Chen, Wanqing |
author_sort | Gu, Xiuying |
collection | PubMed |
description | BACKGROUND: The relationship between cancer and life expectancy is well established in both developed and developing countries. China is a vast country with significant geographical differences in population structure and healthcare, and thus provides a unique opportunity to analyze the complex relationship between life expectancy and cancer incidence and mortality rates. METHODS: Cancer data were extracted for a total of 255 units (cities or counties) from the 2013 National Central Cancer Registry. Life expectancy data at the unit level were obtained from the National Centers for Disease Control and Prevention. Linear regression analysis was used to analyze the relationship between life expectancy and crude incidence and mortality rates of cancer. In a separate analysis, life expectancy was rated as low (< 76.0 years), middle (76–80 years), or high (> 80 years). RESULTS: Overall, the cancer incidence and mortality rates positively correlated with life expectancy in both sexes (R at 0.37 and 0.50, P < 0.001). The correlation was significant for the following cancers: lung, colorectal, prostate, bladder and pancreas, as well as for lymphoma in men (R 0.36–0.58, P < 0.001), lung, breast, colorectal, thyroid, uterus, and ovary in women (R 0.18–0.51, P < 0.001). We failed to observe an association between upper gastrointestinal cancer and life expectancy. The number of cities/counties with low, middle and high life expectancy levels were 110, 101 and 44, respectively. The highest age-standardized cancer incidence rate was observed in areas with a high life expectancy level (192.83/100,000). The highest age-standardized mortality rate was in areas with the lowest life expectancy (118.44/100,000). Cancers of the stomach, liver and esophagus are major cancer types in areas with low and middle life expectancy. In contrast, areas with high life expectancy had high incidence and mortality rates of colorectal cancer, breast cancer in women and prostate cancer in men. CONCLUSIONS: Longer life expectancy is associated with higher overall cancer incidence and mortality in China. The cancer pattern also varies substantially across areas with different life expectancy levels. Life expectancy levels must be considered when developing strategies to prevent and treat cancers. |
format | Online Article Text |
id | pubmed-6029078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60290782018-07-09 Interactions between life expectancy and the incidence and mortality rates of cancer in China: a population-based cluster analysis Gu, Xiuying Zheng, Rongshou Xia, Changfa Zeng, Hongmei Zhang, Siwei Zou, Xiaonong Yang, Zhixun Li, He Chen, Wanqing Cancer Commun (Lond) Original Article BACKGROUND: The relationship between cancer and life expectancy is well established in both developed and developing countries. China is a vast country with significant geographical differences in population structure and healthcare, and thus provides a unique opportunity to analyze the complex relationship between life expectancy and cancer incidence and mortality rates. METHODS: Cancer data were extracted for a total of 255 units (cities or counties) from the 2013 National Central Cancer Registry. Life expectancy data at the unit level were obtained from the National Centers for Disease Control and Prevention. Linear regression analysis was used to analyze the relationship between life expectancy and crude incidence and mortality rates of cancer. In a separate analysis, life expectancy was rated as low (< 76.0 years), middle (76–80 years), or high (> 80 years). RESULTS: Overall, the cancer incidence and mortality rates positively correlated with life expectancy in both sexes (R at 0.37 and 0.50, P < 0.001). The correlation was significant for the following cancers: lung, colorectal, prostate, bladder and pancreas, as well as for lymphoma in men (R 0.36–0.58, P < 0.001), lung, breast, colorectal, thyroid, uterus, and ovary in women (R 0.18–0.51, P < 0.001). We failed to observe an association between upper gastrointestinal cancer and life expectancy. The number of cities/counties with low, middle and high life expectancy levels were 110, 101 and 44, respectively. The highest age-standardized cancer incidence rate was observed in areas with a high life expectancy level (192.83/100,000). The highest age-standardized mortality rate was in areas with the lowest life expectancy (118.44/100,000). Cancers of the stomach, liver and esophagus are major cancer types in areas with low and middle life expectancy. In contrast, areas with high life expectancy had high incidence and mortality rates of colorectal cancer, breast cancer in women and prostate cancer in men. CONCLUSIONS: Longer life expectancy is associated with higher overall cancer incidence and mortality in China. The cancer pattern also varies substantially across areas with different life expectancy levels. Life expectancy levels must be considered when developing strategies to prevent and treat cancers. BioMed Central 2018-07-03 /pmc/articles/PMC6029078/ /pubmed/29970165 http://dx.doi.org/10.1186/s40880-018-0308-x Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Original Article Gu, Xiuying Zheng, Rongshou Xia, Changfa Zeng, Hongmei Zhang, Siwei Zou, Xiaonong Yang, Zhixun Li, He Chen, Wanqing Interactions between life expectancy and the incidence and mortality rates of cancer in China: a population-based cluster analysis |
title | Interactions between life expectancy and the incidence and mortality rates of cancer in China: a population-based cluster analysis |
title_full | Interactions between life expectancy and the incidence and mortality rates of cancer in China: a population-based cluster analysis |
title_fullStr | Interactions between life expectancy and the incidence and mortality rates of cancer in China: a population-based cluster analysis |
title_full_unstemmed | Interactions between life expectancy and the incidence and mortality rates of cancer in China: a population-based cluster analysis |
title_short | Interactions between life expectancy and the incidence and mortality rates of cancer in China: a population-based cluster analysis |
title_sort | interactions between life expectancy and the incidence and mortality rates of cancer in china: a population-based cluster analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029078/ https://www.ncbi.nlm.nih.gov/pubmed/29970165 http://dx.doi.org/10.1186/s40880-018-0308-x |
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