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