Abstract
Background: Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods: The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings: Globally, 18·7% (95% uncertainty interval 18·4–19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2–59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5–49·6) to 70·5 years (70·1–70·8) for men and from 52·9 years (51·7–54·0) to 75·6 years (75·3–75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5–51·7) for men in the Central African Republic to 87·6 years (86·9–88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3–238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6–42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2–5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation: This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing. Funding: Bill & Melinda Gates Foundation.
Original language | English |
---|---|
Pages (from-to) | 1684-1735 |
Number of pages | 52 |
Journal | The Lancet |
Volume | 392 |
Issue number | 10159 |
DOIs | |
Publication status | Published - 10 Nov 2018 |
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In: The Lancet, Vol. 392, No. 10159, 10.11.2018, p. 1684-1735.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017
T2 - a systematic analysis for the Global Burden of Disease Study 2017
AU - GBD 2017 Mortality Collaborators
AU - Dicker, Daniel
AU - Nguyen, Grant
AU - Abate, Degu
AU - Abate, Kalkidan Hassen
AU - Abay, Solomon M.
AU - Abbafati, Cristiana
AU - Abbasi, Nooshin
AU - Abbastabar, Hedayat
AU - Abd-Allah, Foad
AU - Abdela, Jemal
AU - Abdelalim, Ahmed
AU - Abdel-Rahman, Omar
AU - Abdi, Alireza
AU - Abdollahpour, Ibrahim
AU - Abdulkader, Rizwan Suliankatchi
AU - Abdurahman, Ahmed Abdulahi
AU - Abebe, Haftom Temesgen
AU - Abebe, Molla
AU - Abebe, Zegeye
AU - Abebo, Teshome Abuka
AU - Aboyans, Victor
AU - Abraha, Haftom Niguse
AU - Abrham, Aklilu Roba
AU - Abu-Raddad, Laith Jamal
AU - Abu-Rmeileh, Niveen ME
AU - Accrombessi, Manfred Mario Kokou
AU - Acharya, Pawan
AU - Adebayo, Oladimeji M.
AU - Adedeji, Isaac Akinkunmi
AU - Adedoyin, Rufus Adesoji
AU - Adekanmbi, Victor
AU - Adetokunboh, Olatunji O.
AU - Adhena, Beyene Meressa
AU - Adhikari, Tara Ballav
AU - Adib, Mina G.
AU - Adou, Arsène Kouablan
AU - Adsuar, Jose C.
AU - Afarideh, Mohsen
AU - Afshin, Ashkan
AU - Agarwal, Gina
AU - Aggarwal, Rakesh
AU - Aghayan, Sargis Aghasi
AU - Agrawal, Sutapa
AU - Agrawal, Anurag
AU - Ahmadi, Mehdi
AU - Ahmadi, Alireza
AU - Ahmadieh, Hamid
AU - Ahmed, Mohamed Lemine Cheikh brahim
AU - Ahmed, Sayem
AU - Ahmed, Muktar Beshir
AU - Aichour, Amani Nidhal
AU - Aichour, Ibtihel
AU - Aichour, Miloud Taki Eddine
AU - Akanda, Ali S.
AU - Akbari, Mohammad Esmaeil
AU - Akibu, Mohammed
AU - Akinyemi, Rufus Olusola
AU - Akinyemiju, Tomi
AU - Akseer, Nadia
AU - Alahdab, Fares
AU - Al-Aly, Ziyad
AU - Alam, Khurshid
AU - Alebel, Animut
AU - Aleman, Alicia V.
AU - Alene, Kefyalew Addis
AU - Al-Eyadhy, Ayman
AU - Ali, Raghib
AU - Alijanzadeh, Mehran
AU - Alizadeh-Navaei, Reza
AU - Aljunid, Syed Mohamed
AU - Alkerwi, Ala'a
AU - Alla, François
AU - Allebeck, Peter
AU - Allen, Christine A.
AU - Alonso, Jordi
AU - Al-Raddadi, Rajaa M.
AU - Alsharif, Ubai
AU - Altirkawi, Khalid
AU - Alvis-Guzman, Nelson
AU - Amare, Azmeraw T.
AU - Amini, Erfan
AU - Ammar, Walid
AU - Amoako, Yaw Ampem
AU - Anber, Nahla Hamed
AU - Andrei, Catalina Liliana
AU - Androudi, Sofia
AU - Animut, Megbaru Debalkie
AU - Anjomshoa, Mina
AU - Anlay, Degefaye Zelalem
AU - Ansari, Hossein
AU - Ansariadi, Ansariadi
AU - Ansha, Mustafa Geleto
AU - Antonio, Carl Abelardo T.
AU - Appiah, Seth Christopher Yaw
AU - Aremu, Olatunde
AU - Areri, Habtamu Abera
AU - Ärnlöv, Johan
AU - Arora, Megha
AU - Artaman, Al
AU - Aryal, Krishna K.
AU - Asadi-Lari, Mohsen
AU - Asayesh, Hamid
AU - Asfaw, Ephrem Tsegay
AU - Asgedom, Solomon Weldegebreal
AU - Assadi, Reza
AU - Ataro, Zerihun
AU - Atey, Tesfay Mehari Mehari
AU - Athari, Seyyed Shamsadin
AU - Atique, Suleman
AU - Atre, Sachin R.
AU - Atteraya, Madhu Sudhan
AU - Attia, Engi F.
AU - Ausloos, Marcel
AU - Avila-Burgos, Leticia
AU - Avokpaho, Euripide F.G.A.
AU - Awasthi, Ashish
AU - Awuah, Baffour
AU - Ayala Quintanilla, Beatriz Paulina
AU - Ayele, Henok Tadesse
AU - Ayele, Yohanes
AU - Ayer, Rakesh
AU - Ayuk, Tambe B.
AU - Azzopardi, Peter S.
AU - Azzopardi-Muscat, Natasha
AU - Badali, Hamid
AU - Badawi, Alaa
AU - Balakrishnan, Kalpana
AU - Bali, Ayele Geleto
AU - Banach, Maciej
AU - Banstola, Amrit
AU - Barac, Aleksandra
AU - Barboza, Miguel A.
AU - Barquera, Simon
AU - Barrero, Lope H.
AU - Basaleem, Huda
AU - Bassat, Quique
AU - Basu, Arindam
AU - Basu, Sanjay
AU - Baune, Bernhard T.
AU - Bazargan-Hejazi, Shahrzad
AU - Bedi, Neeraj
AU - Beghi, Ettore
AU - Behzadifar, Masoud
AU - Behzadifar, Meysam
AU - Béjot, Yannick
AU - Bekele, Bayu Begashaw
AU - Belachew, Abate Bekele
AU - Belay, Aregawi Gebreyesus
AU - Belay, Ezra
AU - Belay, Saba Abraham
AU - Belay, Yihalem Abebe
AU - Bell, Michelle L.
AU - Bello, Aminu K.
AU - Bennett, Derrick A.
AU - Bensenor, Isabela M.
AU - Berhane, Adugnaw
AU - Berman, Adam E.
AU - Bernabe, Eduardo
AU - Bernstein, Robert S.
AU - Bertolacci, Gregory J.
AU - Beuran, Mircea
AU - Beyranvand, Tina
AU - Bhala, Neeraj
AU - Bhatia, Eesh
AU - Bhatt, Samir
AU - Bhattarai, Suraj
AU - Bhaumik, Soumyadeeep
AU - Bhutta, Zulfiqar A.
AU - Biadgo, Belete
AU - Bijani, Ali
AU - Bikbov, Boris
AU - Bililign, Nigus
AU - Bin Sayeed, Muhammad Shahdaat
AU - Birlik, Sait Mentes
AU - Birungi, Charles
AU - Bisanzio, Donal
AU - Biswas, Tuhin
AU - Bjørge, Tone
AU - Bleyer, Archie
AU - Basara, Berrak Bora
AU - Bose, Dipan
AU - Bosetti, Cristina
AU - Boufous, Soufiane
AU - Bourne, Rupert
AU - Brady, Oliver J.
AU - Bragazzi, Nicola Luigi
AU - Brant, Luisa C.
AU - Brazinova, Alexandra
AU - Breitborde, Nicholas J.K.
AU - Brenner, Hermann
AU - Britton, Gabrielle
AU - Brugha, Traolach
AU - Burke, Kristin E.
AU - Busse, Reinhard
AU - Butt, Zahid A.
AU - Cahuana-Hurtado, Lucero
AU - Callender, Charlton S.K.H.
AU - Campos-Nonato, Ismael R.
AU - Campuzano Rincon, Julio Cesar
AU - Cano, Jorge
AU - Car, Mate
AU - Cárdenas, Rosario
AU - Carreras, Giulia
AU - Carrero, Juan J.
AU - Carter, Austin
AU - Carvalho, Félix
AU - Castañeda-Orjuela, Carlos A.
AU - Castillo Rivas, Jacqueline
AU - Castro, Franz
AU - Catalá-López, Ferrán
AU - Çavlin, Alanur
AU - Cerin, Ester
AU - Chaiah, Yazan
AU - Champs, Ana Paula
AU - Chang, Hsing Yi
AU - Chang, Jung Chen
AU - Chattopadhyay, Aparajita
AU - Chaturvedi, Pankaj
AU - Chen, Wanqing
AU - Chiang, Peggy Pei Chia
AU - Chimed-Ochir, Odgerel
AU - Chin, Ken Lee
AU - Chisumpa, Vesper Hichilombwe
AU - Chitheer, Abdulaal
AU - Choi, Jee Young J.
AU - Christensen, Hanne
AU - Christopher, Devasahayam J.
AU - Chung, Sheng Chia
AU - Cicuttini, Flavia M.
AU - Ciobanu, Liliana G.
AU - Cirillo, Massimo
AU - Claro, Rafael M.
AU - Cohen, Aaron J.
AU - Collado-Mateo, Daniel
AU - Constantin, Maria Magdalena
AU - Conti, Sara
AU - Cooper, Cyrus
AU - Cooper, Leslie Trumbull
AU - Cortesi, Paolo Angelo
AU - Cortinovis, Monica
AU - Cousin, Ewerton
AU - Criqui, Michael H.
AU - Cromwell, Elizabeth A.
AU - Doyle, Kerrie E.
AU - Islam, Sheikh Mohammed Shariful
AU - Kinfu, Yohannes
AU - McGrath, John J.
AU - Nguyen, Huong Thanh
AU - Rahman, Mohammad Hifz Ur
AU - Stokes, Mark A.
N1 - Funding Information: Research reported in this publication was supported by the Bill & Melinda Gates Foundation, the University of Melbourne, Public Health England, the Norwegian Institute of Public Health, St. Jude Children's Research Hospital, the National Institute on Aging of the National Institutes of Health (award P30AG047845) , and the National Institute of Mental Health of the National Institutes of Health (award R01MH110163) . The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. Data for this research was provided by MEASURE Evaluation, funded by the United States Agency for International Development (USAID). Views expressed do not necessarily reflect those of USAID, the US Government, or MEASURE Evaluation. The Palestinian Central Bureau of Statistics granted the researchers access to relevant data in accordance with licence no. SLN2014-3-170, after subjecting data to processing aiming to preserve the confidentiality of individual data in accordance with the General Statistics Law—2000. The researchers are solely responsible for the conclusions and inferences drawn upon available data. Funding Information: Yannick Bejot reports grants and personal fees from AstraZeneca and Boehringer Ingelheim and personal fees from Daiichi-Sankyo, BMS, Pfizer, Medtronic, Bayer, Novex Pharma, and MSD. Adam Berman reports personal fees from Philips. Cyrus Cooper reports personal fees from Alliance for Better Bone Health, Amgen, Eli Lilly, GlaxoSmithKline, Medtronic, Merck, Novartis, Pfizer, Roche, Servier, Takeda, and UCB. Mir Sohail Fazeli reports personal fees from Doctor Evidence LLC. Bradford Gessner reports other income from Pfizer Vaccines. Panniyammakal Jeemon reports a Clinical and Public Health Intermediate Fellowship from the Wellcome Trust-DBT India Alliance (2015–2020). Jacek Jóźwiak reports a grant and personal fees from Valeant, personal fees from ALAB Laboratoria and Amgen, and non-financial support from Microlife and Servier. Nicholas Kassebaum reports personal fees and other from Vifor Pharmaceuticals, LLC. Srinivasa Vittal Katikireddi reports grants from NHS Research Scotland (SCAF/15/02), Medical Research Council (MC_UU_12017/13 and MC_UU_12017/15), and Scottish Government Chief Scientist Office (SPHSU13 and SPHSU15). Pablo Lavados reports grants from Bayer AG, PHRI, The George Institute for Global Health, Conicyt Fonis, and Clinica Alemania; non-financial support from Boehringer Ingelheim; grant support for RECCA registry and travel expenses for Nandu Proyect, and other support from EVERpharma. Jeffrey Lazarus reports personal fees from Janssen and CEPHEID and grants and personal fees from AbbVie, Gilead Sciences, and MSD. Winfried März reports grants and personal fees from Siemens Diagnostics, Aegerion Pharmaceuticals, Amgen, AstraZeneca, Danone Research, Pfizer, BASF, Numares AG, and Berline-Chemie; personal fees from Hoffmann LaRoche, MSD, Sanofi, and Synageva; grants from Abbott Diagnostics; and other from Synlab Holding Deutschland GmbH. Walter Mendoza is currently a Program Analyst for Population and Development at the Peru Country Office of the United Nations Population Fund (UNFPA) which does not necessarily endorse this study. Bo Norrving reports personal fees from AstraZeneca and Bayer. Constance Dimity Pond reports personal fees from Nutricia advisory board, acted as an unpaid consultant to the Wicking Dementia Research and Education Centre in Tasmania for development of general practitioner education on dementia (airfares and accommodation paid), was paid as a dementia clinical lead and dementia pathways adviser for the Sydney North Primary Health Network, and paid as a GP educator for Presbyterian Aged Care. Maarten Postma reports grants from Mundipharma, Bayer, BMS, AstraZeneca, ARTEG, and AscA; grants and personal fees from Sigma Tau, MSD, GlaxoSmithKline, Pfizer, Boehringer Ingelheim, Novavax, Ingress Health, AbbVie, and Sanofi; personal fees from Quintiles, Astellas, Mapi, OptumInsight, Novartis, Swedish Orphan, Innoval, Jansen, Intercept, and Pharmerit, and stock ownership in Ingress Health and Pharmacoeconomics Advice Groningen (PAG Ltd). Kazem Rahimi reports grants from NIHR BRC, ESRC, and Oxford Martin School. Miloje Savic is employed by GlaxoSmithKline Biologicals, S.A, Belgium. Kenji Shibuya reports grants from Ministry of Health, Labour, and Welfare and from Ministry of Education, Culture, Sports, Science, and Technology. Mark Shrime reports grants from Mercy Ships and Damon Runyon Cancer Research Foundation. Jasvinder Singh reports consulting for Horizon, Fidia, UBM LLC, Medscape, WebMD, the National Institutes of Health, and the American College of Rheumatology; they serve as the principal investigator for an investigator-initiated study funded by Horizon pharmaceuticals through a grant to DINORA, Inc., a 501c3 entity; they are on the steering committee of OMERACT, an international organisation that develops measures for clinical trials and receives arms-length funding from 36 pharmaceutical companies. Cassandra Szoeke reports a grant from the National Medical Health Research Council, Lundbeck, Alzheimer's Association, and the Royal Australasian College of Practicioners; she holds patent PCT/AU2008/001556. Amanda Thrift reports grants from National Health and Medical Research Council, Australia. Muthiah Vaduganathan receives research support from the NIH/NHLBI and serves as a consultant for Bayer AG and Baxter Healthcare. Marcel Yotebieng reports grants from the US National Institutes of Health. All other authors declare no competing interests. Publisher Copyright: © 2018 The Author(s). Funding Information: Research reported in this publication was supported by the Bill & Melinda Gates Foundation, the University of Melbourne, Public Health England, the Norwegian Institute of Public Health, St. Jude Children's Research Hospital, the National Institute on Aging of the National Institutes of Health (award P30AG047845) , and the National Institute of Mental Health of the National Institutes of Health (award R01MH110163) . The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. Data for this research was provided by MEASURE Evaluation, funded by the United States Agency for International Development (USAID). Views expressed do not necessarily reflect those of USAID, the US Government, or MEASURE Evaluation. The Palestinian Central Bureau of Statistics granted the researchers access to relevant data in accordance with licence no. SLN2014-3-170, after subjecting data to processing aiming to preserve the confidentiality of individual data in accordance with the General Statistics Law—2000. The researchers are solely responsible for the conclusions and inferences drawn upon available data. Publisher Copyright: © 2018 The Author(s).
PY - 2018/11/10
Y1 - 2018/11/10
N2 - Background: Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods: The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings: Globally, 18·7% (95% uncertainty interval 18·4–19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2–59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5–49·6) to 70·5 years (70·1–70·8) for men and from 52·9 years (51·7–54·0) to 75·6 years (75·3–75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5–51·7) for men in the Central African Republic to 87·6 years (86·9–88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3–238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6–42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2–5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation: This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing. Funding: Bill & Melinda Gates Foundation.
AB - Background: Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods: The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings: Globally, 18·7% (95% uncertainty interval 18·4–19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2–59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5–49·6) to 70·5 years (70·1–70·8) for men and from 52·9 years (51·7–54·0) to 75·6 years (75·3–75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5–51·7) for men in the Central African Republic to 87·6 years (86·9–88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3–238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6–42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2–5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation: This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing. Funding: Bill & Melinda Gates Foundation.
UR - http://www.scopus.com/inward/record.url?scp=85056148226&partnerID=8YFLogxK
U2 - 10.1016/S0140-6736(18)31891-9
DO - 10.1016/S0140-6736(18)31891-9
M3 - Article
C2 - 30496102
AN - SCOPUS:85056148226
SN - 0140-6736
VL - 392
SP - 1684
EP - 1735
JO - The Lancet
JF - The Lancet
IS - 10159
ER -