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Health effects associated with smoking: a Burden of Proof study.
Dai, Xiaochen; Gil, Gabriela F; Reitsma, Marissa B; Ahmad, Noah S; Anderson, Jason A; Bisignano, Catherine; Carr, Sinclair; Feldman, Rachel; Hay, Simon I; He, Jiawei; Iannucci, Vincent; Lawlor, Hilary R; Malloy, Matthew J; Marczak, Laurie B; McLaughlin, Susan A; Morikawa, Larissa; Mullany, Erin C; Nicholson, Sneha I; O'Connell, Erin M; Okereke, Chukwuma; Sorensen, Reed J D; Whisnant, Joanna; Aravkin, Aleksandr Y; Zheng, Peng; Murray, Christopher J L; Gakidou, Emmanuela.
Afiliação
  • Dai X; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA. xdai88@uw.edu.
  • Gil GF; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA. xdai88@uw.edu.
  • Reitsma MB; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Ahmad NS; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Anderson JA; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Bisignano C; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Carr S; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Feldman R; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Hay SI; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • He J; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Iannucci V; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
  • Lawlor HR; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Malloy MJ; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
  • Marczak LB; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • McLaughlin SA; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Morikawa L; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Mullany EC; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Nicholson SI; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • O'Connell EM; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Okereke C; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Sorensen RJD; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Whisnant J; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Aravkin AY; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Zheng P; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Murray CJL; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Gakidou E; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Nat Med ; 28(10): 2045-2055, 2022 10.
Article em En | MEDLINE | ID: mdl-36216941
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fumar / Abandono do Hábito de Fumar Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fumar / Abandono do Hábito de Fumar Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article