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Forecasting the effects of smoking prevalence scenarios on years of life lost and life expectancy from 2022 to 2050: a systematic analysis for the Global Burden of Disease Study 2021

  • GBD 2021 Tobacco Forecasting Collaborators
  • University of Washington
  • Aleta Wondo Hospital
  • Ajman University
  • Iran University of Medical Sciences
  • Ferhat Abbas Sétif University 1
  • Indian Council of Medical Research
  • University of Sierra Sur
  • University of Helsinki
  • University of Calicut
  • Federal Medical Centre
  • Babcock University
  • University of Health and Allied Sciences
  • Universidade Federal de Minas Gerais
  • Shahid Beheshti University of Medical Sciences
  • Al-Zaytoonah University of Jordan
  • Usmanu Danfodiyo University
  • Nigerian Institute of Medical Research
  • Birzeit University
  • United Arab Emirates University
  • University of Jordan
  • Alfaisal University
  • University of Tennessee Health Science Center
  • Bahar Dar University
  • University of Ibadan
  • University College Hospital, Ibadan
  • Charles Darwin University
  • University of Texas Medical Branch at Galveston
  • University of Johannesburg
  • Padjadjaran University
  • Technical Services Directorate
  • University of Management and Technology
  • King Edward Memorial Hospital
  • Public Health Institute
  • University of Catania
  • Queen's University Kingston
  • University of Technology Sydney
  • Shaqra University
  • Australian National University
  • Public Health Foundation of India
  • Abasyn University
  • Lebanese American University
  • Miami Cancer Institute
  • King Edward Medical University Lahore
  • Shahrekord University of Medical Sciences
  • International Centre for Diarrhoeal Disease Research Bangladesh
  • Uppsala University
  • University of Khartoum
  • University of Basel
  • COMSATS University Islamabad
  • Jimma University Ethiopia
  • Flinders University
  • Jamia Hamdard University
  • Fudan University

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Smoking is the leading behavioural risk factor for mortality globally, accounting for more than 175 million deaths and nearly 4·30 billion years of life lost (YLLs) from 1990 to 2021. The pace of decline in smoking prevalence has slowed in recent years for many countries, and although strategies have recently been proposed to achieve tobacco-free generations, none have been implemented to date. Assessing what could happen if current trends in smoking prevalence persist, and what could happen if additional smoking prevalence reductions occur, is important for communicating the effect of potential smoking policies. Methods: In this analysis, we use the Institute for Health Metrics and Evaluation's Future Health Scenarios platform to forecast the effects of three smoking prevalence scenarios on all-cause and cause-specific YLLs and life expectancy at birth until 2050. YLLs were computed for each scenario using the Global Burden of Disease Study 2021 reference life table and forecasts of cause-specific mortality under each scenario. The reference scenario forecasts what could occur if past smoking prevalence and other risk factor trends continue, the Tobacco Smoking Elimination as of 2023 (Elimination-2023) scenario quantifies the maximum potential future health benefits from assuming zero percent smoking prevalence from 2023 onwards, whereas the Tobacco Smoking Elimination by 2050 (Elimination-2050) scenario provides estimates for countries considering policies to steadily reduce smoking prevalence to 5%. Together, these scenarios underscore the magnitude of health benefits that could be reached by 2050 if countries take decisive action to eliminate smoking. The 95% uncertainty interval (UI) of estimates is based on the 2·5th and 97·5th percentile of draws that were carried through the multistage computational framework. Findings: Global age-standardised smoking prevalence was estimated to be 28·5% (95% UI 27·9–29·1) among males and 5·96% (5·76–6·21) among females in 2022. In the reference scenario, smoking prevalence declined by 25·9% (25·2–26·6) among males, and 30·0% (26·1–32·1) among females from 2022 to 2050. Under this scenario, we forecast a cumulative 29·3 billion (95% UI 26·8–32·4) overall YLLs among males and 22·2 billion (20·1–24·6) YLLs among females over this period. Life expectancy at birth under this scenario would increase from 73·6 years (95% UI 72·8–74·4) in 2022 to 78·3 years (75·9–80·3) in 2050. Under our Elimination-2023 scenario, we forecast 2·04 billion (95% UI 1·90–2·21) fewer cumulative YLLs by 2050 compared with the reference scenario, and life expectancy at birth would increase to 77·6 years (95% UI 75·1–79·6) among males and 81·0 years (78·5–83·1) among females. Under our Elimination-2050 scenario, we forecast 735 million (675–808) and 141 million (131–154) cumulative YLLs would be avoided among males and females, respectively. Life expectancy in 2050 would increase to 77·1 years (95% UI 74·6–79·0) among males and 80·8 years (78·3–82·9) among females. Interpretation: Existing tobacco policies must be maintained if smoking prevalence is to continue to decline as forecast by the reference scenario. In addition, substantial smoking-attributable burden can be avoided by accelerating the pace of smoking elimination. Implementation of new tobacco control policies are crucial in avoiding additional smoking-attributable burden in the coming decades and to ensure that the gains won over the past three decades are not lost. Funding: Bloomberg Philanthropies and the Bill & Melinda Gates Foundation.

Original languageEnglish
Pages (from-to)e729-e744
JournalThe Lancet Public Health
Volume9
Issue number10
DOIs
StatePublished - Oct 2024

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