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Predicting the mortality of smoking attributable to cancer in Qingdao, China: A time-series analysis

Smoking is the leading preventable cause of death and disability from cancer in China. To provide a scientific basis for tobacco control strategies and measures, this study investigated cancer deaths attributed to smoking from 2005 to 2017 and predicted mortality trends from 2018 to 2020 in Qingdao....

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Autores principales: Qi, Fei, Xu, Zhenshi, Zhang, Hua, Wang, Rui, Wang, Yani, Jia, Xiaorong, Lin, Peng, Geng, Meiyun, Huang, Yiqing, Li, Shanpeng, Yang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833131/
https://www.ncbi.nlm.nih.gov/pubmed/33493221
http://dx.doi.org/10.1371/journal.pone.0245769
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author Qi, Fei
Xu, Zhenshi
Zhang, Hua
Wang, Rui
Wang, Yani
Jia, Xiaorong
Lin, Peng
Geng, Meiyun
Huang, Yiqing
Li, Shanpeng
Yang, Jun
author_facet Qi, Fei
Xu, Zhenshi
Zhang, Hua
Wang, Rui
Wang, Yani
Jia, Xiaorong
Lin, Peng
Geng, Meiyun
Huang, Yiqing
Li, Shanpeng
Yang, Jun
author_sort Qi, Fei
collection PubMed
description Smoking is the leading preventable cause of death and disability from cancer in China. To provide a scientific basis for tobacco control strategies and measures, this study investigated cancer deaths attributed to smoking from 2005 to 2017 and predicted mortality trends from 2018 to 2020 in Qingdao. We used time series analysis to evaluate the number of deaths attributed to smoking among residents over 35 years old in Qingdao and predicted mortality trends. The number of cancer deaths attributed to smoking in Qingdao from 2005 to 2016 was between 170 and 407, showing an upward trend and a certain periodicity. The best model is the ARIMA (2,1,0)×(3,1,0)(12), with the lowest BIC (6.640) and the highest stationary R(2) (0.500). The predicted cancer deaths curve attributed to smoking in 2017 is consistent with the actual curve, with an average relative error of 5.74%. Applying this model to further predict the number of cancer deaths attributed to smoking in Qingdao from January 2018 to December 2020, the predicted results were 5,249, 5,423 and 6,048, respectively. The findings emphasized the need to further strengthen tobacco control measures to reduce the burden of disease caused by tobacco.
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spelling pubmed-78331312021-01-26 Predicting the mortality of smoking attributable to cancer in Qingdao, China: A time-series analysis Qi, Fei Xu, Zhenshi Zhang, Hua Wang, Rui Wang, Yani Jia, Xiaorong Lin, Peng Geng, Meiyun Huang, Yiqing Li, Shanpeng Yang, Jun PLoS One Research Article Smoking is the leading preventable cause of death and disability from cancer in China. To provide a scientific basis for tobacco control strategies and measures, this study investigated cancer deaths attributed to smoking from 2005 to 2017 and predicted mortality trends from 2018 to 2020 in Qingdao. We used time series analysis to evaluate the number of deaths attributed to smoking among residents over 35 years old in Qingdao and predicted mortality trends. The number of cancer deaths attributed to smoking in Qingdao from 2005 to 2016 was between 170 and 407, showing an upward trend and a certain periodicity. The best model is the ARIMA (2,1,0)×(3,1,0)(12), with the lowest BIC (6.640) and the highest stationary R(2) (0.500). The predicted cancer deaths curve attributed to smoking in 2017 is consistent with the actual curve, with an average relative error of 5.74%. Applying this model to further predict the number of cancer deaths attributed to smoking in Qingdao from January 2018 to December 2020, the predicted results were 5,249, 5,423 and 6,048, respectively. The findings emphasized the need to further strengthen tobacco control measures to reduce the burden of disease caused by tobacco. Public Library of Science 2021-01-25 /pmc/articles/PMC7833131/ /pubmed/33493221 http://dx.doi.org/10.1371/journal.pone.0245769 Text en © 2021 Qi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Qi, Fei
Xu, Zhenshi
Zhang, Hua
Wang, Rui
Wang, Yani
Jia, Xiaorong
Lin, Peng
Geng, Meiyun
Huang, Yiqing
Li, Shanpeng
Yang, Jun
Predicting the mortality of smoking attributable to cancer in Qingdao, China: A time-series analysis
title Predicting the mortality of smoking attributable to cancer in Qingdao, China: A time-series analysis
title_full Predicting the mortality of smoking attributable to cancer in Qingdao, China: A time-series analysis
title_fullStr Predicting the mortality of smoking attributable to cancer in Qingdao, China: A time-series analysis
title_full_unstemmed Predicting the mortality of smoking attributable to cancer in Qingdao, China: A time-series analysis
title_short Predicting the mortality of smoking attributable to cancer in Qingdao, China: A time-series analysis
title_sort predicting the mortality of smoking attributable to cancer in qingdao, china: a time-series analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833131/
https://www.ncbi.nlm.nih.gov/pubmed/33493221
http://dx.doi.org/10.1371/journal.pone.0245769
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