Suppr超能文献

与吸烟相关的健康影响:一项证明负担的研究。

Health effects associated with smoking: a Burden of Proof study.

机构信息

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.

出版信息

Nat Med. 2022 Oct;28(10):2045-2055. doi: 10.1038/s41591-022-01978-x. Epub 2022 Oct 10.

Abstract

As a leading behavioral risk factor for numerous health outcomes, smoking is a major ongoing public health challenge. Although evidence on the health effects of smoking has been widely reported, few attempts have evaluated the dose-response relationship between smoking and a diverse range of health outcomes systematically and comprehensively. In the present study, we re-estimated the dose-response relationships between current smoking and 36 health outcomes by conducting systematic reviews up to 31 May 2022, employing a meta-analytic method that incorporates between-study heterogeneity into estimates of uncertainty. Among the 36 selected outcomes, 8 had strong-to-very-strong evidence of an association with smoking, 21 had weak-to-moderate evidence of association and 7 had no evidence of association. By overcoming many of the limitations of traditional meta-analyses, our approach provides comprehensive, up-to-date and easy-to-use estimates of the evidence on the health effects of smoking. These estimates provide important information for tobacco control advocates, policy makers, researchers, physicians, smokers and the public.

摘要

作为众多健康结果的主要行为风险因素,吸烟是当前公共卫生面临的主要挑战。尽管吸烟对健康影响的证据已被广泛报道,但很少有研究系统全面地评估吸烟与各种健康结果之间的剂量-反应关系。在本研究中,我们通过系统评价(截至 2022 年 5 月 31 日),采用将研究间异质性纳入不确定性估计的荟萃分析方法,重新估计了当前吸烟与 36 种健康结果之间的剂量-反应关系。在 36 种选定的结果中,有 8 种与吸烟有很强到非常强的关联证据,21 种有弱到中等强度的关联证据,7 种没有关联证据。通过克服传统荟萃分析的许多局限性,我们的方法提供了关于吸烟对健康影响的全面、最新和易于使用的证据估计。这些估计为烟草控制倡导者、政策制定者、研究人员、医生、吸烟者和公众提供了重要信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b411/9556318/93010bdafd66/41591_2022_1978_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验