Li Wei, Wang Dezheng, Zhang Hui, Zhang Ying, Zheng Wenlong, Xue Xiaodan, Shen Wenda, Sitas Freddy, Jiang Guohong
Department of Non-communicable Disease Control and Prevention, Tianjin Centers for Disease Control and Prevention, Tianjin, China.
Centre for Primary Health Care and Equity, School of Public Health and Community Medicine, University of New South Wales Sydney, Sydney, Australia.
Tob Induc Dis. 2020 Mar 23;18:21. doi: 10.18332/tid/116970. eCollection 2020.
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.
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.
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.
Levels and trends in smoking attributed mortality can be measured at low cost by using the stable, complete and effective ACDS system in Tianjin.
全死因监测(ACDS)系统通过在死亡证明上插入吸烟相关问题来衡量吸烟所致死亡率。自2010年起,死亡证明中已常规收集死者的吸烟状况信息。我们描述了一项基于死亡登记的病例对照研究,该研究使用了2010 - 2015年期间的吸烟及死因数据。
从2010年起,在修订后的死亡证明中插入了三个关于死者吸烟状况的问题:1)吸烟状况(当前吸烟者、已戒烟者、从不吸烟者);2)每日吸烟支数;3)吸烟年数。还对1788名死者家属进行了电话访谈的数据准确性调查。在研究病例(死于肺癌及其他已知由吸烟引起的疾病的人)和对照(从不吸烟者)中比较吸烟习惯(当前/曾经吸烟者与非吸烟者)。进行多因素逻辑回归分析以估计吸烟所致死亡率的相对风险RR(比值比),针对肺癌以及与吸烟相关的所有死因,按5岁年龄组、教育程度、婚姻状况和死亡年份进行调整。
在研究期间(2010 - 2015年),年度粗死亡率报告率在6.5‰至7.0‰之间。吸烟状况、吸烟史和每日吸烟支数的报告率分别为95.5%、98.6%和98.6%。与从不吸烟者相比,男性中曾经吸烟对于所有吸烟相关死因的RR为1.38(95%置信区间:1.33 - 1.43),对于肺癌为3.07(95%置信区间:2.91 - 3.24),而女性中相应数值对于所有吸烟相关死因是1.46(95%置信区间:1.39 - 1.54),对于肺癌是4.07(95%置信区间:3.81 - 4.35)。天津的结果与先前研究发表的结果一致。
通过在天津使用稳定、完整且有效的ACDS系统,可以低成本地衡量吸烟所致死亡率的水平和趋势。