TY - JOUR
T1 - Forecasting the effects of smoking prevalence scenarios on years of life lost and life expectancy from 2022 to 2050
T2 - a systematic analysis for the Global Burden of Disease Study 2021
AU - GBD 2021 Tobacco Forecasting Collaborators
AU - Bryazka, Dana
AU - Reitsma, Marissa B.
AU - Abate, Yohannes Habtegiorgis
AU - Abd Al Magied, Abdallah H.A.
AU - Abdelkader, Atef
AU - Abdollahi, Arash
AU - Abdoun, Meriem
AU - Abdulkader, Rizwan Suliankatchi
AU - Abeldaño Zuñiga, Roberto Ariel
AU - Abhilash, E. S.
AU - Abiodun, Olugbenga Olusola
AU - Abiodun, Olumide
AU - Aboagye, Richard Gyan
AU - Abreu, Lucas Guimarães
AU - Abtahi, Dariush
AU - Abualruz, Hasan
AU - Abubakar, Bilyaminu
AU - Abu-Rmeileh, Niveen ME
AU - Aburuz, Salahdein
AU - Abu-Zaid, Ahmed
AU - Adane, Mesafint Molla
AU - Adebiyi, Akindele Olupelumi
AU - Adegboye, Oyelola A.
AU - Adekanmbi, Victor
AU - Adewuyi, Habeeb Omoponle
AU - Adnani, Qorinah Estiningtyas Sakilah
AU - Adzigbli, Leticia Akua
AU - Afaghi, Siamak
AU - Afolabi, Aanuoluwapo Adeyimika
AU - Afzal, Muhammad Sohail
AU - Afzal, Saira
AU - Agodi, Antonella
AU - Agyemang-Duah, Williams
AU - Ahinkorah, Bright Opoku
AU - Ahlstrom, Austin J.
AU - Ahmad, Aqeel
AU - Ahmad, Danish
AU - Ahmad, Muayyad M.
AU - Ahmad, Sajjad
AU - Ahmad, Shahzaib
AU - Ahmadi, Ali
AU - Ahmed, Anisuddin
AU - Ahmed, Ayman
AU - Ahmed, Haroon
AU - Ahmed, Muktar Beshir
AU - Ahmed, Safoora
AU - Ajami, Marjan
AU - Akkaif, Mohammed Ahmed
AU - Akter, Ema
AU - Al Awaidy, Salah
AU - Al Hasan, Syed Mahfuz
AU - Al-Ajlouni, Yazan
AU - Al-Aly, Ziyad
AU - Alam, Khurshid
AU - Alam, Zufishan
AU - Aldhaleei, Wafa A.
AU - Algammal, Abdelazeem M.
AU - Al-Gheethi, Adel Ali Saeed
AU - Alhabib, Khalid F.
AU - Alhalaiqa, Fadwa Naji
AU - Al-Hanawi, Mohammed Khaled
AU - Ali, Abid
AU - Ali, Mohammed Usman
AU - Ali, Rafat
AU - Ali, Syed Shujait
AU - Ali, Waad
AU - Alif, Sheikh Mohammad
AU - Aljunid, Syed Mohamed
AU - Alla, François
AU - Allebeck, Peter
AU - Almahmeed, Wael
AU - Al-Marwani, Sabah
AU - Al-Maweri, Sadeq
AU - Alomari, Mahmoud A.
AU - Alqahtani, Jaber S.
AU - Alqutaibi, Ahmed Yaseen
AU - Al-Raddadi, Rajaa M.Mohammad
AU - Alrousan, Sahel Majed
AU - Alsakarneh, Saqr
AU - Alshahrani, Najim Z.
AU - Altaany, Zaid
AU - Altaf, Awais
AU - Alvis-Guzman, Nelson
AU - Al-Wardat, Mohammad
AU - Al-Worafi, Yaser Mohammed
AU - Aly, Hany
AU - Aly, Safwat
AU - Alyahya, Mohammad Sharif Ibrahim
AU - Alzoubi, Karem H.
AU - Al-Zyoud, Walid Adnan
AU - Amani, Reza
AU - Amin, Tarek Tawfik
AU - Amiri, Sohrab
AU - Amu, Hubert
AU - Amul, Gianna Gayle Herrera
AU - Amusa, Ganiyu Adeniyi
AU - Anand, Tanu
AU - Anderlini, Deanna
AU - Anderson, David B.
AU - Anderson, Jason A.
AU - Andrei, Catalina Liliana
AU - Andrei, Tudorel
AU - Ansari, Mohammed Tahir
AU - Anuoluwa, Iyadunni Adesola
AU - Anvari, Saeid
AU - Anwar, Sumadi Lukman
AU - Anyasodor, Anayochukwu Edward
AU - Arabloo, Jalal
AU - Arafa, Elshaimaa A.
AU - Aravkin, Aleksandr Y.
AU - Areda, Demelash
AU - Aregawi, Brhane Berhe
AU - Aremu, Olatunde
AU - Artamonov, Anton A.
AU - Asgedom, Akeza Awealom
AU - Asghari-Jafarabadi, Mohammad
AU - Ashemo, Mubarek Yesse
AU - Ashraf, Tahira
AU - Astell-Burt, Thomas
AU - Athari, Seyyed Shamsadin
AU - Atorkey, Prince
AU - Atreya, Alok
AU - Aujayeb, Avinash
AU - Awotidebe, Adedapo Wasiu
AU - Ayano, Getinet
AU - Aychiluhm, Setognal Birara
AU - Azadnajafabad, Sina
AU - Azzam, Ahmed Y.
AU - Babu, Giridhara Rathnaiah
AU - Bahrami Taghanaki, Pegah
AU - Bahramian, Saeed
AU - Bai, Ruhai
AU - Bakkannavar, Shankar M.
AU - Balakrishnan, Senthilkumar
AU - Bam, Kiran
AU - Banach, Maciej
AU - Bandyopadhyay, Soham
AU - Baran, Mehmet Firat
AU - Barchitta, Martina
AU - Bardhan, Mainak
AU - Barker-Collo, Suzanne Lyn
AU - Barrow, Amadou
AU - Bashiru, Hameed Akande
AU - Basiru, Afisu
AU - Bastan, Mohammad Mahdi
AU - Basu, Sanjay
AU - Basu, Saurav
AU - Batra, Kavita
AU - Bayati, Mohsen
AU - Behnoush, Amir Hossein
AU - Bell, Shelly L.
AU - Belo, Luis
AU - Beneke, Alice A.
AU - Bennett, Derrick A.
AU - Bensenor, Isabela M.
AU - Beran, Azizullah
AU - Bermudez, Amiel Nazer C.
AU - Beyene, Habtamu B.
AU - Bhagat, Devidas S.
AU - Bhagavathula, Akshaya Srikanth
AU - Bhala, Neeraj
AU - Bhardwaj, Nikha
AU - Bhardwaj, Pankaj
AU - Bhaskar, Sonu
AU - Bhat, Ajay Nagesh
AU - Bhattacharjee, Natalia V.
AU - Bhattacharjee, Priyadarshini
AU - Bhatti, Jasvinder Singh
AU - Bilgin, Cem
AU - Biswas, Atanu
AU - Biswas, Bijit
AU - Boachie, Micheal Kofi
AU - Bogale, Eyob Ketema
AU - Bora Basara, Berrak
AU - Borhany, Hamed
AU - Bosoka, Samuel Adolf
AU - Bouaoud, Souad
AU - Boyko, Edward J.
AU - Brenner, Hermann
AU - Brunoni, Andre R.
AU - Bugiardini, Raffaele
AU - Bulamu, Norma B.
AU - Bustanji, Yasser
AU - Butt, Zahid A.
AU - Caetano dos Santos, Florentino Luciano
AU - Calina, Daniela
AU - Cao, Chao
AU - Cao, Fan
AU - Capodici, Angelo
AU - Cárdenas, Rosario
AU - Carreras, Giulia
AU - Castaldelli-Maia, Joao Mauricio
AU - Cattaruzza, Maria Sofia
AU - Caye, Arthur
AU - Cegolon, Luca
AU - Cenko, Edina
AU - Cerrai, Sonia
AU - Chakraborty, Sandip
AU - Chandika, Rama Mohan
AU - Chandrasekar, Eeshwar K.
AU - Chattu, Vijay Kumar
AU - Chaudhary, Anis Ahmad
AU - Chaurasia, Akhilanand
AU - Chen, An Tian
AU - Chen, Guangjin
AU - Chen, Haowei
AU - Chen, Meng Xuan
AU - Chen, Simiao
AU - Cheng, Kent Jason Go
AU - Chi, Gerald
AU - Chichagi, Fatemeh
AU - Chimoriya, Ritesh
AU - Chirinos-Caceres, Jesus Lorenzo
AU - Chitheer, Abdulaal
AU - Chong, Bryan
AU - Chong, Chean Lin
AU - Chong, Yuen Yu
AU - Chopra, Hitesh
AU - Choudhari, Sonali Gajanan
AU - Chu, Dinh Toi
AU - Chukwu, Isaac Sunday
AU - Chung, Sheng Chia
AU - Chutiyami, Muhammad
AU - Conde, Joao
AU - Corlateanu, Alexandru
AU - Criqui, Michael H.
AU - Cruz-Martins, Natalia
AU - da Silva, Alanna Gomes
AU - Dadras, Omid
AU - Dai, Siyu
AU - Dai, Xiaochen
AU - Damiani, Giovanni
AU - Dandona, Lalit
AU - Dandona, Rakhi
AU - Darcho, Samuel D.
AU - Darvishi Cheshmeh Soltani, Reza
AU - Das, Saswati
AU - Dash, Nihar Ranjan
AU - Davletov, Kairat
AU - Debele, Aklilu Tamire
AU - Debopadhaya, Shayom
AU - Demant, Daniel
AU - Desai, Hardik Dineshbhai
AU - Devegowda, Devananda
AU - Hankey, Graeme J.
AU - Kujan, Omar
AU - Pereira, Gavin
AU - Pestell, Richard G.
AU - Sahebkar, Amirhossein
AU - Schlaich, Markus P.
N1 - Publisher Copyright:
© 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
PY - 2024/10
Y1 - 2024/10
N2 - 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.
AB - 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.
KW - Humans
KW - Life Expectancy/trends
KW - Forecasting
KW - Smoking/epidemiology
KW - Prevalence
KW - Female
KW - Male
KW - Global Burden of Disease
KW - Adult
KW - Middle Aged
KW - Global Health/statistics & numerical data
KW - Aged
KW - Young Adult
KW - Adolescent
UR - http://www.scopus.com/inward/record.url?scp=85205509483&partnerID=8YFLogxK
U2 - 10.1016/S2468-2667(24)00166-X
DO - 10.1016/S2468-2667(24)00166-X
M3 - Article
C2 - 39366729
AN - SCOPUS:85205509483
SN - 2468-2667
VL - 9
SP - e729-e744
JO - The Lancet Public Health
JF - The Lancet Public Health
IS - 10
ER -