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西班牙地区吸烟归因死亡率的估算:两种方法的比较。

Estimations of smoking-attributable mortality in Spain at a regional level: comparison of two methods.

机构信息

Department of Preventive Medicine and Public Health, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.

Service of Preventive Medicine, University Complex of Santiago de Compostela, Santiago de Compostela, Spain.

出版信息

Ann Epidemiol. 2023 Jun;82:77-83.e3. doi: 10.1016/j.annepidem.2023.04.002. Epub 2023 Apr 8.

Abstract

PURPOSE

To estimate and discuss smoking-attributable mortality (SAM) for the 17 regions in Spain among the population aged ≥35 years in 2017, using two methods.

METHODS

A descriptive analysis of SAM was conducted using two methods, the prevalence-independent method (PIM) and the prevalence-dependent method (PDM). Observed mortality was obtained from the National Institute of Statistics; smoking prevalence from three National Health Surveys; lung cancer mortality rates from the Cancer Prevention Study-II; and relative risks from five US cohorts. SAM and percentages of change were estimated for each region overall, by sex, age and cause of death.

RESULTS

In 2017, tobacco caused 56,203 deaths in Spain applying the PIM. Using the PDM the number of deaths was 4.4% (95% CI: 3.4-5.5) lower (53,825 deaths). Except in four regions, the PIM estimated a higher overall SAM and the maximum percentage of change was 18.6%. Overall percentages of change were higher for women (15.7% 95% CI: 12.6-19.0) and for cardiovascular diseases-diabetes mellitus (13.8%; 95% CI: 11.5-16.2).

CONCLUSIONS

At the national level, both methods estimate similar figures for SAM. However, the difference in estimates appears at the subnational level. Differences were higher in subgroups with lower smoking prevalence and for causes of death with periods of induction shorter than those for lung cancer.

摘要

目的

使用两种方法估计和讨论 2017 年西班牙 17 个地区≥35 岁人群的吸烟归因死亡率(SAM)。

方法

使用两种方法,即无流行率依赖性方法(PIM)和流行率依赖性方法(PDM),对 SAM 进行描述性分析。观察死亡率来自国家统计局;吸烟流行率来自三项国家健康调查;肺癌死亡率来自癌症预防研究-II;相对风险来自五个美国队列。总体上,按性别、年龄和死因估计每个地区的 SAM 和变化百分比。

结果

2017 年,应用 PIM 方法,烟草在西班牙造成 56203 人死亡。使用 PDM,死亡人数减少了 4.4%(95%可信区间:3.4-5.5)(53825 人死亡)。除了四个地区外,PIM 估计的总体 SAM 更高,最大变化百分比为 18.6%。女性(15.7% 95%可信区间:12.6-19.0)和心血管疾病-糖尿病(13.8%;95%可信区间:11.5-16.2)的总体变化百分比更高。

结论

在国家层面,两种方法估计的 SAM 数据相似。然而,在次国家层面,估计值存在差异。在吸烟流行率较低的亚组和诱导期短于肺癌的死因中,差异更高。

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