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The methodology for assessing smoking-attributed mortality based on All Causes of Death Surveillance in Tianjin, China, 2010–2015

INTRODUCTION: The All Causes of Death Surveillance (ACDS) system was used to measure smoking-attributed mortality by inserting questions on smoking on death certificates. Smoking status information of the deceased has been routinely collected in death certificates since 2010. We describe a death reg...

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Autores principales: Li, Wei, Wang, Dezheng, Zhang, Hui, Zhang, Ying, Zheng, Wenlong, Xue, Xiaodan, Shen, Wenda, Sitas, Freddy, Jiang, Guohong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Publishing on behalf of the International Society for the Prevention of Tobacco Induced Diseases (ISPTID) 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7132577/
https://www.ncbi.nlm.nih.gov/pubmed/32265615
http://dx.doi.org/10.18332/tid/116970
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author Li, Wei
Wang, Dezheng
Zhang, Hui
Zhang, Ying
Zheng, Wenlong
Xue, Xiaodan
Shen, Wenda
Sitas, Freddy
Jiang, Guohong
author_facet Li, Wei
Wang, Dezheng
Zhang, Hui
Zhang, Ying
Zheng, Wenlong
Xue, Xiaodan
Shen, Wenda
Sitas, Freddy
Jiang, Guohong
author_sort Li, Wei
collection PubMed
description INTRODUCTION: The All Causes of Death Surveillance (ACDS) system was used to measure smoking-attributed mortality by inserting questions on smoking on death certificates. Smoking status information of the deceased has been routinely collected in death certificates since 2010. We describe a death registry-based case-control study using smoking and cause-of-death data for the period 2010–15. METHODS: From 2010, three questions about the smoking status of the deceased were inserted in a revised death certificate: 1) Smoking status (current smoker, quit smoking, never smoker); 2) Number of cigarettes per day smoked; and 3) Number of years of smoking. A data-accuracy survey of 1788 telephone interviews of the family of the deceased was also conducted. Smoking habits (current/ex-smoker vs non-smoker) were compared in study cases (persons who died of lung cancer and other diseases known to be caused by smoking) and the controls (never smokers). Multivariate logistic regression analysis was conducted to estimate relative risks, RR (odds ratios) for smoking-attributed mortality, for lung cancer and all causes of death related to smoking, adjusted for 5-year interval age groups, education, marital status, and year of death. RESULTS: During the study period (2010–15), the annual crude death reporting rates ranged from 6.5‰ to 7.0‰. The reporting rates of smoking status, smoking history and the number of cigarettes smoked daily were 95.5%, 98.6% and 98.6%, respectively. Compared to never smokers, the RR of ever smoking in males was 1.38 (95% CI: 1.33–1.43) for all causes of smoking-related deaths and 3.07 (95% CI: 2.91–3.24) for lung cancer, while in females the values were 1.46 (95% CI: 1.39–1.54) for all causes of smoking-related deaths and 4.07 (95% CI: 3.81–4.35) for lung cancer. The results in Tianjin are in accord with published results from previous studies. CONCLUSIONS: Levels and trends in smoking attributed mortality can be measured at low cost by using the stable, complete and effective ACDS system in Tianjin.
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spelling pubmed-71325772020-04-07 The methodology for assessing smoking-attributed mortality based on All Causes of Death Surveillance in Tianjin, China, 2010–2015 Li, Wei Wang, Dezheng Zhang, Hui Zhang, Ying Zheng, Wenlong Xue, Xiaodan Shen, Wenda Sitas, Freddy Jiang, Guohong Tob Induc Dis Research Paper INTRODUCTION: The All Causes of Death Surveillance (ACDS) system was used to measure smoking-attributed mortality by inserting questions on smoking on death certificates. Smoking status information of the deceased has been routinely collected in death certificates since 2010. We describe a death registry-based case-control study using smoking and cause-of-death data for the period 2010–15. METHODS: From 2010, three questions about the smoking status of the deceased were inserted in a revised death certificate: 1) Smoking status (current smoker, quit smoking, never smoker); 2) Number of cigarettes per day smoked; and 3) Number of years of smoking. A data-accuracy survey of 1788 telephone interviews of the family of the deceased was also conducted. Smoking habits (current/ex-smoker vs non-smoker) were compared in study cases (persons who died of lung cancer and other diseases known to be caused by smoking) and the controls (never smokers). Multivariate logistic regression analysis was conducted to estimate relative risks, RR (odds ratios) for smoking-attributed mortality, for lung cancer and all causes of death related to smoking, adjusted for 5-year interval age groups, education, marital status, and year of death. RESULTS: During the study period (2010–15), the annual crude death reporting rates ranged from 6.5‰ to 7.0‰. The reporting rates of smoking status, smoking history and the number of cigarettes smoked daily were 95.5%, 98.6% and 98.6%, respectively. Compared to never smokers, the RR of ever smoking in males was 1.38 (95% CI: 1.33–1.43) for all causes of smoking-related deaths and 3.07 (95% CI: 2.91–3.24) for lung cancer, while in females the values were 1.46 (95% CI: 1.39–1.54) for all causes of smoking-related deaths and 4.07 (95% CI: 3.81–4.35) for lung cancer. The results in Tianjin are in accord with published results from previous studies. CONCLUSIONS: Levels and trends in smoking attributed mortality can be measured at low cost by using the stable, complete and effective ACDS system in Tianjin. European Publishing on behalf of the International Society for the Prevention of Tobacco Induced Diseases (ISPTID) 2020-03-23 /pmc/articles/PMC7132577/ /pubmed/32265615 http://dx.doi.org/10.18332/tid/116970 Text en © 2020 Li W. et al. https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License.
spellingShingle Research Paper
Li, Wei
Wang, Dezheng
Zhang, Hui
Zhang, Ying
Zheng, Wenlong
Xue, Xiaodan
Shen, Wenda
Sitas, Freddy
Jiang, Guohong
The methodology for assessing smoking-attributed mortality based on All Causes of Death Surveillance in Tianjin, China, 2010–2015
title The methodology for assessing smoking-attributed mortality based on All Causes of Death Surveillance in Tianjin, China, 2010–2015
title_full The methodology for assessing smoking-attributed mortality based on All Causes of Death Surveillance in Tianjin, China, 2010–2015
title_fullStr The methodology for assessing smoking-attributed mortality based on All Causes of Death Surveillance in Tianjin, China, 2010–2015
title_full_unstemmed The methodology for assessing smoking-attributed mortality based on All Causes of Death Surveillance in Tianjin, China, 2010–2015
title_short The methodology for assessing smoking-attributed mortality based on All Causes of Death Surveillance in Tianjin, China, 2010–2015
title_sort methodology for assessing smoking-attributed mortality based on all causes of death surveillance in tianjin, china, 2010–2015
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7132577/
https://www.ncbi.nlm.nih.gov/pubmed/32265615
http://dx.doi.org/10.18332/tid/116970
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