Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017
Published November 8, 2018, in The Lancet (opens in a new window)
Abstract
Global development goals increasingly rely on country-specific estimates for benchmarking a nation’s progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017.
Methods
The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries—Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modeling tools developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardized.
Findings
At the broadest grouping of causes of death (Level 1), non-communicable diseases (NCDs) comprised the greatest fraction of deaths, contributing to 73.4% (95% uncertainty interval [UI] 72.5–74.1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 18.6% (17.9–19.6), and injuries 8.0% (7.7–8.2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22.7% (21.5–23.9), representing an additional 7.61 million (7.20–8.01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7.9% (7.0–8.8). The number of deaths for CMNN causes decreased by 22.2% (20.0–24.0) and the death rate by 31.8% (30.1–33.3). Total deaths from injuries increased by 2.3% (0.5–4.0) between 2007 and 2017, and the death rate from injuries decreased by 13.7% (12.2–15.1) to 57.9 deaths (55.9–59.2) per 100,000 in 2017. Deaths from substance use disorders also increased, rising from 284,000 deaths (268,000–289,000) globally in 2007 to 352,000 (334,000–363,000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118.0% (88.8–148.6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36.4% (32.2–40.6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33.6% (31.2–36.1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respiratory infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990—neonatal disorders, lower respiratory infections, and diarrheal diseases—were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases.
Interpretation
Improvements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade.
Citation
GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet. 8 Nov 2018;392:1736-88. doi: http://dx.doi.org/10.1016/S0140-6736(18)32203-7.
Authors
- Gregory Roth,
- Christopher J.L. Murray,
- Mohsen Naghavi,
- Reed Sorensen,
- Christina Fitzmaurice,
- Ashkan Afshin,
- Tahiya Alam,
- Katie Ballesteros,
- Marlena Bannick,
- Greg Bertolacci,
- Molly Biehl,
- Brigette Blacker,
- Paul Briant,
- Charlton Callendar,
- Austin Carter,
- Chris Castle,
- Aaron Cohen,
- Elizabeth Cromwell,
- Matthew Cunningham,
- Lalit Dandona,
- Rakhi Dandona,
- Nicole Weaver,
- Louisa Degenhardt,
- Selina Deiparine,
- Samath D. Dharmaratne,
- Daniel Dicker,
- Maegan Dirac,
- Dirk Douwes-Schultz,
- Charbel El Bcheraoui,
- Valery Feigin,
- Sam Finegold,
- Kyle Foreman,
- Tahvi Frank,
- John Fuller,
- Nancy Fullman,
- William Gardner,
- Ellen Goldberg,
- Taren Gorman,
- Simon Hay,
- Yihua He,
- Nathaniel Henry,
- Thomas Hsiao,
- Caleb Irvine,
- Spencer James,
- Catherine Johnson,
- Sarah Johnson,
- Nicholas Kassebaum,
- Grant Kemp,
- Ibrahim Khalil,
- Jonathan Kocarnik,
- Michael Kutz,
- Hmwe Hmwe Kyu,
- Heidi Larson,
- Kathryn Lau,
- Stephen Lim,
- Rafael Lozano,
- Emilie Maddison,
- Helena Manguerra,
- Laurie Marczak,
- Ashley Marks,
- Ira Martopullo,
- Anoushka Millear,
- Molly Miller-Petrie,
- Awoke Misganaw Temesgen,
- Ali Mokdad,
- John Everett Mumford,
- Kate Muller,
- Grant Nguyen,
- Minh Nguyen,
- Emma Nichols,
- Molly Nixon,
- Elaine Nsoesie,
- Chris Odell,
- Helen Olsen,
- Liane Ong,
- Katherine Paulson,
- David Pigott,
- Caroline Purcell,
- Puja Rao,
- Bobby Reiner,
- Marissa Reitsma,
- Nicholas Roberts,
- Joseph Salama,
- Katya Shackelford,
- Mari Smith,
- Vinay Srinivasan,
- Jeff Stanaway,
- Caitlyn Steiner,
- Leo Stewart,
- Michelle Subart,
- Patrick Sur,
- Dillon Sylte,
- Anna Torre,
- Chris Troeger,
- Derrick Tsoi,
- Rachel Updike,
- Stein Emil Vollset,
- Theo Vos,
- Harvey Whiteford,
- Lauren Wilner,
- Shadrach Wilson,
- Simon Yadgir
Datasets
All our datasets are housed in our data catalog, the Global Health Data Exchange (GHDx). Visit the GHDx to download data from this article.