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Mortality by cause for eight regions of the world: Global Burden of Disease Study
Abstract
Background Reliable information on causes of death is essential to the development of national and international health policies for prevention and control of disease and injury. Medically certified information is available for less than 30% of the estimated 50.5 million deaths that occur each year worldwide. However, other data sources can be used to develop cause-of-death estimates for populations. To be useful, estimates must be internally consistent, plausible, and reflect epidemiological characteristics suggested by community-level data. The Global Burden of Disease Study (GBD) used various data sources and made corrections for miscoding of important diseases (eg, ischaemic heart disease) to estimate worldwide and regional cause-of-death.patterns in 1990 for 14 age-sex groups in eight regions, for 107 causes.Methods Preliminary estimates were developed with available vital-registration data, sample-registration data for India and China, and small-scale population-study data sources. Registration data were corrected for miscoding, and Lorenz-curve analysis was used to estimate cause-of-death patterns in areas without registration. Preliminary estimates were modified to reflect the epidemiology of selected diseases and injuries. Final estimates were checked to ensure that numbers of deaths in specific age-sex groups did not exceed estimates suggested by independent demographic methods.Findings 98% of all deaths in children younger than 15 years are in the developing world. 83% and 59% of deaths at 15-59 and 70 years, respectively, are in the developing world. The probability of death between birth and 15 years ranges from 22.0% in sub-Saharan Africa to 1.1% in the established market economies. Probabilities of death between 15 and 60 years range from 7.2% for women in established market economies to 39.1% for men in sub-Saharan Africa. The probability of a man or woman dying from a non-communicable disease is higher in sub-Saharan Africa and other developing regions than in established market economies. Worldwide in 1990, communicable, maternal, perinatal, and nutritional disorders accounted for 17.2 million deaths, non-communicable diseases for 28.1 million deaths and injuries for 5.1 million deaths. The leading causes of death in 1990 were ischaemic heart disease (6.3 million deaths), cerebrovascular accidents (4.4 million deaths), lower respiratory infections (4.3 million), diarrhoeal diseases (2.9 million), perinatal disorders (2.4 million), chronic obstructive pulmonary disease (2.2 million), tuberculosis (2.0 million), measles (1.1 million), road-traffic accidents (1.0 million), and lung cancer (0.9 million).Interpretation Five of the ten leading killers are communicable, perinatal, and nutritional disorders largely affecting children. Non-communicable diseases are, however, already major public health challenges in all regions. Injuries, which account for 10% of global mortality, are often ignored as a major cause of death and may require innovative strategies to reduce their toll. The estimates by cause have wide Cls, but provide a foundation for a more informed debate on public-health priorities.
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Chalmers, J. P., Todd, A. L., Chapman, N., Beilin, L., Davis, S. M., Donnan, G. A., Frommer, M. S., Huxley, R., Lenfant, C. J. M., MacMahon, S. W., et al. (2003) · PubMed · doi:10.1097/01.hjh.0000052490.18130.95 · Cited by 82
Hormonal regulation of apolipoprotein AI
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“As hypercholesterolemia is one of the modifiable risk factors underlying ischemic heart disease, currently the most important cause of premature death in the world (Murray & Lopez 1997), new ways to lower cholesterol are of interest to both the medical community and the general population.”
BackgroundWhy We Need Urban Health Equity Indicators: Integrating Science, Policy, and Community
Corburn, J., & Cohen, A. K. (2012) · PLoS Medicine · doi:10.1371/journal.pmed.1001285 · Cited by 83
“Burden of disease estimates have tended to focus on the whole world or specific geographic regions [4,5].”
BackgroundBernstein, S. J., Skarupski, K. A., Grayson, C. E., Starling, M. R., Bates, E., & Eagle, K. A. (1998) · Health Expectations · doi:10.1046/j.1369-6513.1998.00007.x · Cited by 83
Kim, H. J., Kim, Y., Cho, Y., Jun, B., & Oh, K. W. (2014) · International Journal of Cardiology · doi:10.1016/j.ijcard.2014.03.163 · Cited by 80
Han, J., Guo, X., Yu, X., Liu, S., Cui, X., Zhang, B., & Liang, H. (2019) · Nutrients · doi:10.3390/nu11102295 · Cited by 82
“The number of people who died of cancer ranks second, second only to the number of deaths from cardiovascular and cerebrovascular diseases worldwide [2,3].”
BackgroundJafar, T. H. (2005) · Journal of Human Hypertension · doi:10.1038/sj.jhh.1001929 · Cited by 80
Gender Differences in Patients with Acute Ischemic Stroke
Caso, V., Paciaroni, M., Agnelli, G., Corea, F., Ageno, W., Alberti, A., Lanari, A., Micheli, S., Bertolani, L., Venti, M. P., et al. (2010) · Women s Health · doi:10.2217/whe.09.82 · Cited by 80
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“Results The results of the systematic review were disaggregated into three categories for analysis that were not mutually exclusive: (1) assessing the differences in psychometrics between the BI and the MRS in clinical stroke trials (N1⁄46), (2) use of both the BI and the MRS in Table 1.”
MethodA challenging system: Free energy prediction for factor Xa
Wallnoefer, H. G., Liedl, K. R., & Fox, T. (2011) · Journal of Computational Chemistry · doi:10.1002/jcc.21758 · Cited by 80
Burden of Stroke: Indian Perspective
Dalal, P. (2006) · International Journal of Stroke · doi:10.1111/j.1747-4949.2006.00051.x · Cited by 80
Noninvasive simultaneous assessment of wall shear rate and wall distension in carotid arteries
Tortoli, P., Morganti, T., Bambi, G., Palombo, C., & Ramnarine, K. V. (2006) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2006.07.023 · Cited by 80
Yokote, K., Yamashita, S., Arai, H., Araki, E., Suganami, H., & Ishibashi, S. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20030706 · Cited by 79
“Atherosclerotic cardiovascular disease (ASCVD) is a leading cause of death [1,2].”
BackgroundAgeing, lifestyle modifications, and cardiovascular disease in developing countries.
Dominguez, L. J., Galioto, A., Ferlisi, A., Pineo, A., Putignano, E., Belvedere, M., Costanza, G., & Barbagallo, M. (2006) · PubMed · Cited by 79
Vats, V., Yadav, S. P., Biswas, N. R., & Grover, J. K. (2004) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2004.03.032 · Cited by 79
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General Practitioners’ Approach to Hypertension in Urban Pakistan
Jafar, T. H., Jessani, S., Jafary, F. H., Ishaq, M., Orkazai, R., Orkazai, S., Levey, A. S., & Chaturvedi, N. (2005) · Circulation · doi:10.1161/01.cir.0000157698.78949.d7 · Cited by 79
“A rigorously developed questionnaire on (1) type of practice and (2) detection, (3) evaluation, (4) treatment, and (5) source of information about high BP was administered by trained medical personnel.”
BackgroundMethodMajor Coronary Risk Factors and Death from Coronary Heart Disease
Mensah, G. A., Brown, D. W., Croft, J. B., & Greenlund, K. J. (2005) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2005.07.030 · Cited by 77
Serum lipids and associated factors of dyslipidemia in the adult population in Shenzhen
Ni, W., Liu, X., Zhuo, Z.-P., Yuan, X., Song, J., Chi, H., & Xu, J. (2015) · Lipids in Health and Disease · doi:10.1186/s12944-015-0073-7 · Cited by 78
“Dyslipidemia is one of the most important and modifiable risk factors for cardiovascular diseases, which is also a major cause of morbidity and leads to mortality worldwide [4].”
Blood Transfusion is an Independent Predictor of Mortality after Blunt Trauma
Charles, A. G., Shaikh, A. A., Walters, M. R., Huehl, S., & Pomerantz, R. A. (2007) · The American Surgeon · doi:10.1177/000313480707300101 · Cited by 78
Ntundu, S. H., Herman, A. M., Kishe, A., Babu, H., Jahanpour, O. F., Msuya, D., Chugulu, S. G., & Chilonga, K. (2019) · BMC Surgery · doi:10.1186/s12893-019-0530-8 · Cited by 77
Metadata
- Authors
- Murray, C. J., & Lopez, A. D.
- Affiliations
- Harvard University (US)
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 1997-05
- Volume
- 349
- Issue
- 9061
- Pages
- 1269-1276
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- OpenAlex
- W2108361166
- Cited by
- 4,043
- References
- 28
- Citations by year
- 2026: 19 · 2025: 25 · 2024: 54 · 2023: 51 · 2022: 82 · 2021: 100 · 2020: 93 · 2019: 102 · 2018: 100 · 2017: 124 · 2016: 141 · 2015: 168 · 2014: 207 · 2013: 185 · 2012: 211
- FWCI
- 412.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Lancet (publishedVersion)
- PubMed (publishedVersion)
- DigitalGeorgetown (Georgetown University Library) (submittedVersion)
- Topics
- Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Global Health and Epidemiology
- Health Sciences › Medicine › Epidemiology › Healthcare Systems and Public Health
- Keywords
- causes of death, mortality estimates, global burden of disease, non-communicable diseases, infectious diseases, injuries, ischemic heart disease, cerebrovascular disease, lower respiratory tract infection, diarrhoeal diseases, perinatal disorders, maternal disorders, nutritional disorders, developing countries, sub-Saharan Africa, vital registration data
- MeSH terms
- Adolescent, Adult, Aged, Cause of Death, Cerebrovascular Disorders, Child, Child, Preschool, Communicable Diseases, Diarrhea, Disease, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Mortality, Neoplasms, Nutrition Disorders, Respiratory Tract Diseases, Risk Factors, Global Health, Wounds and Injuries, Myocardial Ischemia, Cost of Illness, Quality-Adjusted Life Years
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