Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015
- Authors
- Wang, Haidong; Naghavi, Mohsen; Allen, Christine; Barber, Ryan M; Bhutta, Zulfiqar A; Carter, Austin; Casey, Daniel C; Charlson, Fiona J; Chen, Alan Zian; Coates, Matthew M; Coggeshall, Megan; Dandona, Lalit; Dicker, Daniel J; Erskine, Holly E; Ferrari, Alize J; Fitzmaurice, Christina; Foreman, Kyle; Forouzanfar, Mohammad H; Fraser, Maya S; Fullman, Nancy; Gething, Peter W; Goldberg, Ellen M; Graetz, Nicholas; Haagsma, Juanita A; Hay, Simon I; Huynh, Chantal; Johnson, Catherine O; Kassebaum, Nicholas J; Kinfu, Yohannes; Kulikoff, Xie Rachel; Kutz, Michael; Kyu, Hmwe H; Larson, Heidi J; Leung, Janni; Liang, Xiaofeng; Lim, Stephen S; Lind, Margaret; Lozano, Rafael; Marquez, Neal; Mensah, George A; Mikesell, Joe; Mokdad, Ali H; Mooney, Meghan D; Nguyen, Grant; Nsoesie, Elaine; Pigott, David M; Pinho, Christine; Roth, Gregory A; Salomon, Joshua A; Sandar, Logan; Silpakit, Naris; Sligar, Amber; Sorensen, Reed JD; Stanaway, Jeffrey; Steiner, Caitlyn; Teeple, Stephanie; Thomas, Bernadette A; Troeger, Christopher; VanderZanden, Amelia; Vollset, Stein Emil; Wanga, Valentine; Whiteford, Harvey A; Wolock, Timothy; Zoeckler, Leo; Abate, Kalkidan Hassen; Abbafati, Cristiana; Abbas, Kaja M; Abd-Allah, Foad; Abera, Semaw Ferede; Abreu, Daisy MX; Abu-Raddad, Laith J; Yitayih Abyu, Gebre; Achoki, Tom; Adelekan, Ademola Lukman; Ademi, Zanfina; Adou, Arsène Kouablan; Adsuar, José C; Afanvi, Kossivi Agbelenko; Afshin, Ashkan; Agardh, Emilie Elisabet; Agarwal, Arnav; Agrawal, Anurag; Kiadaliri, Aliasghar Ahmad; Ajala, Oluremi N; Akanda, Ali Shafqat; Akinyemi, Rufus Olusola; Akinyemiju, Tomi F; Akseer, Nadia; Al Lami, Faris Hasan; Alabed, Samer; Al-Aly, Ziyad; Alam, Khurshid; Alam, Noore KM; Alasfoor, Deena; Aldhahri, Saleh Fahed; Aldridge, Robert William; Alegretti, Miguel Angel; Aleman, Alicia V; Alemu, Zewdie Aderaw; Alexander, Lily T; Alhabib, Samia; Ali, Raghib; Alkerwi, Ala'a; Alla, François; Allebeck, Peter; Al-Raddadi, Rajaa; Alsharif, Ubai; Altirkawi, Khalid A; Alvarez Martin, Elena; Alvis-Guzman, Nelson; Amare, Azmeraw T; Amegah, Adeladza Kofi; Ameh, Emmanuel A; Amini, Heresh; Ammar, Walid; Amrock, Stephen Marc; Andersen, Hjalte H; Anderson, Benjamin O; Anderson, Gregory M; T Antonio, Carl Abelardo; Aregay, Atsede Fantahun; Ärnlöv, Johan; Arsic Arsenijevic, Valentina S; Artaman, Al; Asayesh, Hamid; Asghar, Rana Jawad; Atique, Suleman; Arthur Avokpaho, Euripide Frinel G; Awasthi, Ashish; Azzopardi, Peter; Bacha, Umar; Badawi, Alaa; Bahit, Maria C; Balakrishnan, Kalpana; Banerjee, Amitava; Barac, Aleksandra; Barker-Collo, Suzanne L; Bärnighausen, Till; Barregard, Lars; Barrero, Lope H; Basu, Arindam; Basu, Sanjay; Bayou, Yibeltal Tebekaw; Bazargan-Hejazi, Shahrzad; Beardsley, Justin; Bedi, Neeraj; Beghi, Ettore; Adamu Belay, Haileeyesus; Bell, Brent; Bell, Michelle L
- Format
- Article
- Status
- publishedVersion
- Description
Background Improving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and trends. The Global Burden of Disease 2015 Study (GBD 2015) provides a comprehensive assessment of all-cause and cause-specifi c mortality for 249 causes in 195 countries and territories from 1980 to 2015. These results informed an in-depth investigation of observed and expected mortality patterns based on sociodemographic measures. Methods We estimated all-cause mortality by age, sex, geography, and year using an improved analytical approach originally developed for GBD 2013 and GBD 2010. Improvements included refi nements to the estimation of child and adult mortality and corresponding uncertainty, parameter selection for under-5 mortality synthesis by spatiotemporal Gaussian process regression, and sibling history data processing. We also expanded the database of vital registration, survey, and census data to 14 294 geography–year datapoints. For GBD 2015, eight causes, including Ebola virus disease, were added to the previous GBD cause list for mortality. We used six modelling approaches to assess cause-specifi c mortality, with the Cause of Death Ensemble Model (CODEm) generating estimates for most causes. We used a series of novel analyses to systematically quantify the drivers of trends in mortality across geographies. First, we assessed observed and expected levels and trends of cause-specifi c mortality as they relate to the Socio-demographic Index (SDI), a summary indicator derived from measures of income per capita, educational attainment, and fertility. Second, we examined factors aff ecting total mortality patterns through a series of counterfactual scenarios, testing the magnitude by which population growth, population age structures, and epidemiological changes contributed to shifts in mortality. Finally, we attributed changes in life expectancy to changes in cause of death. We documented each step of the GBD 2015 estimation processes, as well as data sources, in accordance with Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER).
Background Improving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and trends. The Global Burden of Disease 2015 Study (GBD 2015) provides a comprehensive assessment of all-cause and cause-specifi c mortality for 249 causes in 195 countries and territories from 1980 to 2015. These results informed an in-depth investigation of observed and expected mortality patterns based on sociodemographic measures. Methods We estimated all-cause mortality by age, sex, geography, and year using an improved analytical approach originally developed for GBD 2013 and GBD 2010. Improvements included refi nements to the estimation of child and adult mortality and corresponding uncertainty, parameter selection for under-5 mortality synthesis by spatiotemporal Gaussian process regression, and sibling history data processing. We also expanded the database of vital registration, survey, and census data to 14 294 geography–year datapoints. For GBD 2015, eight causes, including Ebola virus disease, were added to the previous GBD cause list for mortality. We used six modelling approaches to assess cause-specifi c mortality, with the Cause of Death Ensemble Model (CODEm) generating estimates for most causes. We used a series of novel analyses to systematically quantify the drivers of trends in mortality across geographies. First, we assessed observed and expected levels and trends of cause-specifi c mortality as they relate to the Socio-demographic Index (SDI), a summary indicator derived from measures of income per capita, educational attainment, and fertility. Second, we examined factors aff ecting total mortality patterns through a series of counterfactual scenarios, testing the magnitude by which population growth, population age structures, and epidemiological changes contributed to shifts in mortality. Finally, we attributed changes in life expectancy to changes in cause of death. We documented each step of the GBD 2015 estimation processes, as well as data sources, in accordance with Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER).
- Publication Year
- 2016
- Language
- Topic
- all-cause mortality
GBD 2015
sociodemographic measures
- Repository
- RI INDICASAT
- Get full text
- https://doi.org/10.1016/S0140-6736(16)31012-1
http://repositorio-indicasat.org.pa/handle/123456789/187
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- openAccess
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