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Journal ArticleDOI

Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010

Theo Vos, Abraham D. Flaxman1, Mohsen Naghavi1, Rafael Lozano1  +360 moreInstitutions (143)
15 Dec 2012-The Lancet (Elsevier)-Vol. 380, Iss: 9859, pp 2163-2196
TL;DR: Prevalence and severity of health loss were weakly correlated and age-specific prevalence of YLDs increased with age in all regions and has decreased slightly from 1990 to 2010, but population growth and ageing have increased YLD numbers and crude rates over the past two decades.
About: This article is published in The Lancet.The article was published on 2012-12-15 and is currently open access. It has received 7021 citations till now. The article focuses on the topics: Years of potential life lost & Global health.
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Journal ArticleDOI
TL;DR: The incidence, prevalence, and years of life lived with disability (YLDs) from all causes of injury in every country are measured, to describe how these measures have changed between 1990 and 2016, and to estimate the proportion of TBI and SCI cases caused by different types of injury.
Abstract: Summary Background Traumatic brain injury (TBI) and spinal cord injury (SCI) are increasingly recognised as global health priorities in view of the preventability of most injuries and the complex and expensive medical care they necessitate. We aimed to measure the incidence, prevalence, and years of life lived with disability (YLDs) for TBI and SCI from all causes of injury in every country, to describe how these measures have changed between 1990 and 2016, and to estimate the proportion of TBI and SCI cases caused by different types of injury. Methods We used results from the Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study 2016 to measure the global, regional, and national burden of TBI and SCI by age and sex. We measured the incidence and prevalence of all causes of injury requiring medical care in inpatient and outpatient records, literature studies, and survey data. By use of clinical record data, we estimated the proportion of each cause of injury that required medical care that would result in TBI or SCI being considered as the nature of injury. We used literature studies to establish standardised mortality ratios and applied differential equations to convert incidence to prevalence of long-term disability. Finally, we applied GBD disability weights to calculate YLDs. We used a Bayesian meta-regression tool for epidemiological modelling, used cause-specific mortality rates for non-fatal estimation, and adjusted our results for disability experienced with comorbid conditions. We also analysed results on the basis of the Socio-demographic Index, a compound measure of income per capita, education, and fertility. Findings In 2016, there were 27·08 million (95% uncertainty interval [UI] 24·30–30·30 million) new cases of TBI and 0·93 million (0·78–1·16 million) new cases of SCI, with age-standardised incidence rates of 369 (331–412) per 100 000 population for TBI and 13 (11–16) per 100 000 for SCI. In 2016, the number of prevalent cases of TBI was 55·50 million (53·40–57·62 million) and of SCI was 27·04 million (24·98–30·15 million). From 1990 to 2016, the age-standardised prevalence of TBI increased by 8·4% (95% UI 7·7 to 9·2), whereas that of SCI did not change significantly (−0·2% [–2·1 to 2·7]). Age-standardised incidence rates increased by 3·6% (1·8 to 5·5) for TBI, but did not change significantly for SCI (−3·6% [–7·4 to 4·0]). TBI caused 8·1 million (95% UI 6·0–10·4 million) YLDs and SCI caused 9·5 million (6·7–12·4 million) YLDs in 2016, corresponding to age-standardised rates of 111 (82–141) per 100 000 for TBI and 130 (90–170) per 100 000 for SCI. Falls and road injuries were the leading causes of new cases of TBI and SCI in most regions. Interpretation TBI and SCI constitute a considerable portion of the global injury burden and are caused primarily by falls and road injuries. The increase in incidence of TBI over time might continue in view of increases in population density, population ageing, and increasing use of motor vehicles, motorcycles, and bicycles. The number of individuals living with SCI is expected to increase in view of population growth, which is concerning because of the specialised care that people with SCI can require. Our study was limited by data sparsity in some regions, and it will be important to invest greater resources in collection of data for TBI and SCI to improve the accuracy of future assessments. Funding Bill & Melinda Gates Foundation.

916 citations

Journal ArticleDOI
TL;DR: As life expectancy has increased, the number of healthy years lost to disability has also increased in most countries, consistent with the expansion of morbidity hypothesis, which has implications for health planning and health-care expenditure.

908 citations

Journal ArticleDOI
Juanita A. Haagsma1, Nicholas Graetz1, Ian Bolliger1, Mohsen Naghavi1, Hideki Higashi1, Erin C Mullany1, Semaw Ferede Abera2, Jerry Puthenpurakal Abraham3, Koranteng Adofo4, Ubai Alsharif5, Emmanuel A. Ameh6, Walid Ammar, Carl Abelardo T. Antonio7, Lope H Barrero8, Tolesa Bekele9, Dipan Bose10, Alexandra Brazinova, Ferrán Catalá-López, Lalit Dandona1, Rakhi Dandona11, Paul I. Dargan12, Diego De Leo13, Louisa Degenhardt14, Sarah Derrett15, Samath D Dharmaratne16, Tim Driscoll17, Leilei Duan18, Sergey Petrovich Ermakov19, Farshad Farzadfar20, Valery L. Feigin21, Richard C. Franklin22, Belinda J. Gabbe23, Richard A. Gosselin24, Nima Hafezi-Nejad20, Randah R. Hamadeh25, Martha Híjar, Guoqing Hu26, Sudha Jayaraman27, Guohong Jiang, Yousef Khader28, Ejaz Ahmad Khan29, Sanjay Krishnaswami30, Chanda Kulkarni, Fiona Lecky31, Ricky Leung32, Raimundas Lunevicius33, Ronan A Lyons34, Marek Majdan, Amanda J. Mason-Jones35, Richard Matzopoulos36, Peter A. Meaney37, Wubegzier Mekonnen38, Ted R. Miller39, Charles Mock40, Rosana E. Norman41, Ricardo Orozco, Suzanne Polinder, Farshad Pourmalek42, Vafa Rahimi-Movaghar20, Amany H. Refaat43, David Rojas-Rueda, Nobhojit Roy44, David C. Schwebel45, Amira Shaheen46, Saeid Shahraz47, Vegard Skirbekk48, Kjetil Søreide49, Sergey Soshnikov, Dan J. Stein50, Bryan L. Sykes51, Karen M. Tabb52, Awoke Misganaw Temesgen, Eric Y. Tenkorang53, Alice Theadom21, Bach Xuan Tran54, Bach Xuan Tran55, Tommi Vasankari, Monica S. Vavilala40, Vasiliy Victorovich Vlassov56, Solomon Meseret Woldeyohannes57, Paul S. F. Yip58, Naohiro Yonemoto, Mustafa Z. Younis59, Chuanhua Yu60, Christopher J L Murray1, Theo Vos1 
Institute for Health Metrics and Evaluation1, College of Health Sciences, Bahrain2, Harvard University3, Kwame Nkrumah University of Science and Technology4, Charité5, Ahmadu Bello University6, University of the Philippines Manila7, Pontifical Xavierian University8, Madawalabu University9, World Bank10, Public Health Foundation of India11, Guy's and St Thomas' NHS Foundation Trust12, Griffith University13, University of New South Wales14, Massey University15, University of Peradeniya16, University of Sydney17, Chinese Center for Disease Control and Prevention18, Russian Academy of Sciences19, Tehran University of Medical Sciences20, Auckland University of Technology21, James Cook University22, Monash University23, University of California, San Francisco24, Arabian Gulf University25, Central South University26, Virginia Commonwealth University27, Jordan University of Science and Technology28, Health Services Academy29, Oregon Health & Science University30, University of Sheffield31, University at Albany, SUNY32, Aintree University Hospitals NHS Foundation Trust33, Swansea University34, University of York35, South African Medical Research Council36, Children's Hospital of Philadelphia37, Addis Ababa University38, Curtin University39, University of Washington40, Queensland University of Technology41, University of British Columbia42, Suez Canal University43, Karolinska Institutet44, University of Alabama at Birmingham45, An-Najah National University46, Tufts Medical Center47, Norwegian Institute of Public Health48, Stavanger University Hospital49, University of Cape Town50, University of California, Irvine51, University of Illinois at Urbana–Champaign52, St. John's University53, Hanoi Medical University54, Johns Hopkins University55, National Research University – Higher School of Economics56, University of Gondar57, University of Hong Kong58, Jackson State University59, Wuhan University60
TL;DR: An overview of injury estimates from the 2013 update of GBD is provided, with detailed information on incidence, mortality, DALYs and rates of change from 1990 to 2013 for 26 causes of injury, globally, by region and by country.
Abstract: Background The Global Burden of Diseases (GBD), Injuries, and Risk Factors study used the disability-adjusted life year (DALY) to quantify the burden of diseases, injuries, and risk factors. This paper provides an overview of injury estimates from the 2013 update of GBD, with detailed information on incidence, mortality, DALYs and rates of change from 1990 to 2013 for 26 causes of injury, globally, by region and by country. Methods Injury mortality was estimated using the extensive GBD mortality database, corrections for ill-defined cause of death and the cause of death ensemble modelling tool. Morbidity estimation was based on inpatient and outpatient data sets, 26 cause-of-injury and 47 nature-of-injury categories, and seven follow-up studies with patient-reported long-term outcome measures. Results In 2013, 973 million (uncertainty interval (UI) 942 to 993) people sustained injuries that warranted some type of healthcare and 4.8 million (UI 4.5 to 5.1) people died from injuries. Between 1990 and 2013 the global age-standardised injury DALY rate decreased by 31% (UI 26% to 35%). The rate of decline in DALY rates was significant for 22 cause-of-injury categories, including all the major injuries. Conclusions Injuries continue to be an important cause of morbidity and mortality in the developed and developing world. The decline in rates for almost all injuries is so prominent that it warrants a general statement that the world is becoming a safer place to live in. However, the patterns vary widely by cause, age, sex, region and time and there are still large improvements that need to be made.

883 citations

Journal ArticleDOI
TL;DR: The Global Burden of Disease 2013 study provides a consistent and comprehensive approach to disease estimation for between 1990 and 2013, and an opportunity to assess whether accelerated progress has occured since the Millennium Declaration.

875 citations

Journal ArticleDOI
TL;DR: In this paper, the authors estimate the global burden of rheumatoid arthritis (RA), as part of the Global Burden of Disease 2010 study of 291 conditions and how the burden of RA compares with other conditions.
Abstract: Objectives To estimate the global burden of rheumatoid arthritis (RA), as part of the Global Burden of Disease 2010 study of 291 conditions and how the burden of RA compares with other conditions. Methods The optimum case definition of RA for the study was the American College of Rheumatology 1987 criteria. A series of systematic reviews were conducted to gather age-sex-specific epidemiological data for RA prevalence, incidence and mortality. Cause-specific mortality data were also included. Data were entered into DisMod-MR, a tool to pool available data, making use of study-level covariates to adjust for country, region and super-region random effects to estimate prevalence for every country and over time. The epidemiological data, in addition to disability weights, were used to calculate years of life lived with disability (YLDs). YLDs were added to the years of life lost due to premature mortality to estimate the overall burden (disability-adjusted life years (DALYs)) for RA for the years 1990, 2005 and 2010. Results The global prevalence of RA was 0.24% (95% CI 0.23% to 0.25%), with no discernible change from 1990 to 2010. DALYs increased from 3.3 million (M) (95% CI 2.6 M to 4.1 M) in 1990 to 4.8 M (95% CI 3.7 M to 6.1 M) in 2010. This increase was due to a growth in population and increase in aging. Globally, of the 291 conditions studied, RA was ranked as the 42nd highest contributor to global disability, just below malaria and just above iodine deficiency (measured in YLDs). Conclusions RA continues to cause modest global disability, with severe consequences in the individuals affected.

867 citations

References
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Journal ArticleDOI
Rafael Lozano1, Mohsen Naghavi1, Kyle J Foreman2, Stephen S Lim1  +192 moreInstitutions (95)
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2010 aimed to estimate annual deaths for the world and 21 regions between 1980 and 2010 for 235 causes, with uncertainty intervals (UIs), separately by age and sex, using the Cause of Death Ensemble model.

11,809 citations

Book
31 Dec 1997
TL;DR: The aim of this study was to establish a database of histological groups and to provide a level of consistency and quality of data that could be applied in the design of future registries.
Abstract: 1. Techniques of registration 2. Classification and coding 3. Histological groups 4. Comparability and quality of data 5. Data processing 6. Age-standardization 7. Incidence data by site and sex for each registry 8. Summary tables presenting age-standardized rates 9. Data on histological type for selected sites

10,160 citations

Journal ArticleDOI
18 Jun 2003-JAMA
TL;DR: Notably, major depressive disorder is a common disorder, widely distributed in the population, and usually associated with substantial symptom severity and role impairment, and while the recent increase in treatment is encouraging, inadequate treatment is a serious concern.
Abstract: ContextUncertainties exist about prevalence and correlates of major depressive disorder (MDD).ObjectiveTo present nationally representative data on prevalence and correlates of MDD by Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria, and on study patterns and correlates of treatment and treatment adequacy from the recently completed National Comorbidity Survey Replication (NCS-R).DesignFace-to-face household survey conducted from February 2001 to December 2002.SettingThe 48 contiguous United States.ParticipantsHousehold residents ages 18 years or older (N = 9090) who responded to the NCS-R survey.Main Outcome MeasuresPrevalence and correlates of MDD using the World Health Organization's (WHO) Composite International Diagnostic Interview (CIDI), 12-month severity with the Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR), the Sheehan Disability Scale (SDS), and the WHO disability assessment scale (WHO-DAS). Clinical reinterviews used the Structured Clinical Interview for DSM-IV.ResultsThe prevalence of CIDI MDD for lifetime was 16.2% (95% confidence interval [CI], 15.1-17.3) (32.6-35.1 million US adults) and for 12-month was 6.6% (95% CI, 5.9-7.3) (13.1-14.2 million US adults). Virtually all CIDI 12-month cases were independently classified as clinically significant using the QIDS-SR, with 10.4% mild, 38.6% moderate, 38.0% severe, and 12.9% very severe. Mean episode duration was 16 weeks (95% CI, 15.1-17.3). Role impairment as measured by SDS was substantial as indicated by 59.3% of 12-month cases with severe or very severe role impairment. Most lifetime (72.1%) and 12-month (78.5%) cases had comorbid CIDI/DSM-IV disorders, with MDD only rarely primary. Although 51.6% (95% CI, 46.1-57.2) of 12-month cases received health care treatment for MDD, treatment was adequate in only 41.9% (95% CI, 35.9-47.9) of these cases, resulting in 21.7% (95% CI, 18.1-25.2) of 12-month MDD being adequately treated. Sociodemographic correlates of treatment were far less numerous than those of prevalence.ConclusionsMajor depressive disorder is a common disorder, widely distributed in the population, and usually associated with substantial symptom severity and role impairment. While the recent increase in treatment is encouraging, inadequate treatment is a serious concern. Emphasis on screening and expansion of treatment needs to be accompanied by a parallel emphasis on treatment quality improvement.

7,706 citations

Book
01 Jan 1996
TL;DR: This is the first in a planned series of 10 volumes that will attempt to "summarize epidemiological knowledge about all major conditions and most risk factors" and use historical trends in main determinants to project mortality and disease burden forward to 2020.
Abstract: This is the first in a planned series of 10 volumes that will attempt to "summarize epidemiological knowledge about all major conditions and most risk factors;...generate assessments of numbers of deaths by cause that are consistent with the total numbers of deaths by age sex and region provided by demographers;...provide methodologies for and assessments of aggregate disease burden that combine--into the Disability-Adjusted Life Year or DALY measure--burden from premature mortality with that from living with disability; and...use historical trends in main determinants to project mortality and disease burden forward to 2020." This first volume includes chapters summarizing results from the project as a whole. (EXCERPT)

7,154 citations

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