Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
Published November 8, 2018, in The Lancet (opens in a new window)
Abstract
The Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an aging global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world’s population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data.
Methods
We estimated incidence and prevalence for 354 diseases and injuries and 3,484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68,781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting.
Findings
Globally, for females, the causes with the greatest age-standardized prevalence were oral disorders, headache disorders, and hemoglobinopathies and hemolytic anemias in both 1990 and 2017. For males, the causes with the greatest age-standardized prevalence were oral disorders, headache disorders, and tuberculosis including latent tuberculosis infection in both 1990 and 2017. In terms of YLDs, low back pain, headache disorders, and dietary iron deficiency were the leading Level 3 causes of YLD counts in 1990, whereas low back pain, headache disorders, and depressive disorders were the leading causes in 2017 for both sexes combined. All-cause age-standardized YLD rates decreased by 3.9% (95% uncertainty interval [UI] 3.1–4.6) from 1990 to 2017; however, the all-age YLD rate increased by 7.2% (6.0–8.4) while the total sum of global YLDs increased from 562 million (421–723) to 853 million (642–1,100). The increases for males and females were similar, with increases in all-age YLD rates of 7.9% (6.6–9.2) for males and 6.5% (5.4–7.7) for females. We found significant differences between males and females in terms of age-standardized prevalence estimates for multiple causes. The causes with the greatest relative differences between sexes in 2017 included substance use disorders (3,018 cases [95% UI 2,782–3,252] per 100,000 in males versus 1,400 [1,279–1,524] per 100,000 in females), transport injuries (3,322 [3,082–3,583] versus 2,336 [2,154–2,535]), and self-harm and interpersonal violence (3,265 [2,943–3,630] versus 5,643 [5,057–6,302]).
Interpretation
Global all-cause age-standardized YLD rates have improved only slightly over a period spanning nearly three decades. However, the magnitude of the non-fatal disease burden has expanded globally, with increasing numbers of people who have a wide spectrum of conditions. A subset of conditions has remained globally pervasive since 1990, whereas other conditions have displayed more dynamic trends, with different ages, sexes, and geographies across the globe experiencing varying burdens and trends of health loss. This study emphasizes how global improvements in premature mortality for select conditions have led to older populations with complex and potentially expensive diseases, yet also highlights global achievements in certain domains of disease and injury.
Citation
GBD 2017 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet. 8 Nov 2018;392:1789–858. doi: http://dx.doi.org/10.1016/S0140-6736(18)32279-7.
Authors
- Spencer James,
- Christopher J.L. Murray,
- Theo Vos,
- Ashkan Afshin,
- Kareha Agesa,
- Tahiya Alam,
- Katie Ballesteros,
- Brigette Blacker,
- Paul Briant,
- Austin Carter,
- Kelly Cercy,
- Elizabeth Cromwell,
- Lalit Dandona,
- Rakhi Dandona,
- Louisa Degenhardt,
- Selina Deiparine,
- Samath D. Dharmaratne,
- Maegan Dirac,
- Michelle Echko,
- Charbel El Bcheraoui,
- Valery Feigin,
- Christina Fitzmaurice,
- Kyle Foreman,
- Tahvi Frank,
- Nancy Fullman,
- William Gardner,
- Ellen Goldberg,
- Taren Gorman,
- Caitlin Hawley,
- Simon Hay,
- Chantal Huynh,
- Chad Ikeda,
- Caleb Irvine,
- Catherine Johnson,
- Nicholas Kassebaum,
- Grant Kemp,
- Ibrahim Khalil,
- Pauline Kim,
- Jonathan Kocarnik,
- Kris Krohn,
- Hmwe Hmwe Kyu,
- Jorge Ledesma,
- Kathryn Lau,
- Stephen Lim,
- Rafael Lozano,
- Lydia Lucchesi,
- Helena Manguerra,
- Treh Manhertz,
- Ashley Marks,
- Ira Martopullo,
- Anoushka Millear,
- Benjamin Miltz,
- Awoke Misganaw Temesgen,
- Modhurima Moitra,
- Ali Mokdad,
- Kate Muller,
- John Everett Mumford,
- Mohsen Naghavi,
- Minh Nguyen,
- Emma Nichols,
- Molly Nixon,
- Elaine Nsoesie,
- Chris Odell,
- Helen Olsen,
- Liane Ong,
- Katherine Paulson,
- David Pigott,
- Caroline Purcell,
- Puja Rao,
- Bobby Reiner,
- Nikolas Reinig,
- Marissa Reitsma,
- Nafis Sadat,
- Joseph Salama,
- Erica Leigh Slepak,
- David Smith,
- Mari Smith,
- Reed Sorensen,
- Vinay Srinivasan,
- Jeff Stanaway,
- Caitlyn Steiner,
- Michelle Subart,
- Patrick Sur,
- Dillon Sylte,
- Anna Torre,
- Chris Troeger,
- Derrick Tsoi,
- Rachel Updike,
- Stein Emil Vollset,
- Harvey Whiteford,
- Lauren Wilner,
- 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.