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由于吸烟减少,澳大利亚人口预期寿命的提高:针对整个人群的干预措施与针对特定高风险群体的干预措施之间的比较。

Gains in life expectancy in the Australian population due to reductions in smoking: comparisons between interventions targeting the population versus interventions in a specific high risk group.

机构信息

Translational Health Research Institute, Western Sydney University, Campbelltown, NSW, 2560, Australia.

出版信息

BMC Public Health. 2020 Sep 29;20(1):1478. doi: 10.1186/s12889-020-09600-w.

Abstract

BACKGROUND

Four decades of population-based tobacco control strategies have contributed to substantial reduction in smoking prevalence in Australia. However, smoking prevalence is still double in socially disadvantaged groups compared to those that are not. But not all tobacco control strategies successfully used in the general population is effective in specific high-risk population groups. Hence, an effective way to reduce smoking in high risk population groups may include targeting them specifically to identify and support smokers to quit. In this backdrop, we examined whether tobacco control interventions at the population-level are more effective in increasing life expectancy among Australians compared to interventions targeting a high risk group or a combination of the two when smoking prevalence is reduced to 10 and 0% respectively.

METHODS

Using the risk percentiles approach, analyses were performed separately for men and women using data from various sources such as the 2014-15 National Health Survey linked to death registry, simulated data for high risk groups, and the Australian population and deaths data from the census. Indigenous status was simulated by preferentially assigning those who are indigenous to lower SES quintiles. The age-sex distribution of mental disorder status was simulated using its distribution from 2016 National Drug Strategy Household Survey with 25.9% of mentally ill being assigned to current smoking category and the rest to non-smoking category. The age-sex distribution of prisoners was simulated based on 2014 ABS Prisoners Australia survey with 74% of prisoners being assigned to current smoker category and the rest to non-smoker category. Homelessness status was simulated according to age, sex and indigenous status for 2011 census with all homeless being allocated to the lowest SES category. The age-sex distribution of total cholesterol level was simulated based on 2011-13 Australian Health Survey.

RESULTS

The results showed that the combined approach for reducing smoking is most effective for improving life expectancy of Australians particularly for the socially disadvantaged and mentally ill groups both of which have high fraction of smokers in the population. For those who were mentally ill the gain in ALE due to reduction of smoking to 10% was 0.53 years for males and 0.36 years for females which were around 51 and 42% respectively of the maximal gains in ALE that could be achieved through complete cessation.

CONCLUSIONS

Targeting high-risk population groups having substantial fraction of smokers in the population can strongly complement the existing population-based smoking reduction strategies. As population and high risk approaches are both important, the national prevention policies should make judicious use of both to maximize health gain.

摘要

背景

四十年的基于人群的控烟策略使澳大利亚的吸烟率大幅下降。然而,与非社会弱势群体相比,社会弱势群体的吸烟率仍然是其两倍。但是,并非所有在普通人群中成功使用的控烟策略在特定的高危人群中都有效。因此,减少高危人群吸烟的有效方法可能包括专门针对他们,以识别和支持吸烟者戒烟。在此背景下,我们研究了在吸烟率分别降至 10%和 0%的情况下,与针对高危人群或两者结合的干预措施相比,人群层面的控烟干预措施是否更能提高澳大利亚人的预期寿命。

方法

使用风险百分位数方法,分别对男性和女性进行分析,使用的数据源包括 2014-15 年全国健康调查与死亡登记处的链接、高危人群的模拟数据以及澳大利亚的人口和死亡数据和人口普查。土著地位通过优先将土著人分配到较低 SES 五分位数来模拟。精神障碍状况的年龄-性别分布使用其 2016 年全国毒品策略家庭调查的分布进行模拟,25.9%的精神疾病患者被分配到当前吸烟类别,其余被分配到非吸烟类别。囚犯的年龄-性别分布基于 2014 年 ABS 囚犯澳大利亚调查进行模拟,74%的囚犯被分配到当前吸烟者类别,其余被分配到非吸烟者类别。根据 2011 年人口普查的年龄、性别和土著地位模拟无家可归状况,所有无家可归者都被分配到最低 SES 类别。总胆固醇水平的年龄-性别分布基于 2011-13 年澳大利亚健康调查进行模拟。

结果

结果表明,减少吸烟的综合方法对提高澳大利亚人的预期寿命最为有效,特别是对社会弱势群体和精神疾病患者群体,这两个群体的人口中都有大量吸烟者。对于那些患有精神疾病的人,由于吸烟率降低到 10%,男性的 ALE 增加了 0.53 岁,女性的 ALE 增加了 0.36 岁,这分别约为通过完全戒烟可以获得的 ALE 最大增加量的 51%和 42%。

结论

针对人口中大量吸烟者的高危人群,可以很好地补充现有的基于人群的控烟策略。由于人口和高危方法都很重要,国家预防政策应明智地利用两者,以最大限度地提高健康收益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e009/7526239/24b2c0d0ff35/12889_2020_9600_Fig1_HTML.jpg

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