Jed D. Blore
University of Washington
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Annals of the Rheumatic Diseases | 2014
Damian Hoy; Lyn March; Anthony D. Woolf; Fiona M. Blyth; Peter Brooks; Emma Smith; Theo Vos; Barendregt Jan; Jed D. Blore; Chris Murray; Roy Burstein; Rachelle Buchbinder
Objective To estimate the global burden of neck pain. Methods Neck pain was defined as pain in the neck with or without pain referred into one or both upper limbs that lasts for at least 1 day. Systematic reviews were performed of the prevalence, incidence, remission, duration and mortality risk of neck pain. Four levels of severity were identified for neck pain with and without arm pain, each with their own disability weights. A Bayesian meta-regression method was used to pool prevalence and derive missing age/sex/region/year values. The disability weights were applied to prevalence values to derive the overall disability of neck pain expressed as years lived with disability (YLDs). YLDs have the same value as disability-adjusted life years as there is no evidence of mortality associated with neck pain. Results The global point prevalence of neck pain was 4.9% (95% CI 4.6 to 5.3). Disability-adjusted life years increased from 23.9 million (95% CI 16.5 to 33.1) in 1990 to 33.6 million (95% CI 23.5 to 46.5) in 2010. Out of all 291 conditions studied in the Global Burden of Disease 2010 Study, neck pain ranked 4th highest in terms of disability as measured by YLDs, and 21st in terms of overall burden. Conclusions Neck pain is a common condition that causes substantial disability. With aging global populations, further research is urgently needed to better understand the predictors and clinical course of neck pain, as well as the ways in which neck pain can be prevented and better managed.
Annals of the Rheumatic Diseases | 2014
Damian Hoy; Emma Smith; Marita Cross; Lidia Sanchez-Riera; Rachelle Buchbinder; Fiona M. Blyth; Peter Brooks; Anthony D. Woolf; Richard H. Osborne; Marlene Fransen; Tim Driscoll; Theo Vos; Jed D. Blore; Chris Murray; Nicole Johns; Mohsen Naghavi; Emily Carnahan; Lyn March
The objective of this paper is to provide an overview of methods used for estimating the burden from musculoskeletal (MSK) conditions in the Global Burden of Diseases 2010 study. It should be read in conjunction with the disease-specific MSK papers published in Annals of Rheumatic Diseases. Burden estimates (disability-adjusted life years (DALYs)) were made for five specific MSK conditions: hip and/or knee osteoarthritis (OA), low back pain (LBP), rheumatoid arthritis (RA), gout and neck pain, and an ‘other MSK conditions’ category. For each condition, the main disabling sequelae were identified and disability weights (DW) were derived based on short lay descriptions. Mortality (years of life lost (YLLs)) was estimated for RA and the rest category of ‘other MSK’, which includes a wide range of conditions such as systemic lupus erythematosus, other autoimmune diseases and osteomyelitis. A series of systematic reviews were conducted to determine the prevalence, incidence, remission, duration and mortality risk of each condition. A Bayesian meta-regression method was used to pool available data and to predict prevalence values for regions with no or scarce data. The DWs were applied to prevalence values for 1990, 2005 and 2010 to derive years lived with disability. These were added to YLLs to quantify overall burden (DALYs) for each condition. To estimate the burden of MSK disease arising from risk factors, population attributable fractions were determined for bone mineral density as a risk factor for fractures, the occupational risk of LBP and elevated body mass index as a risk factor for LBP and OA. Burden of Disease studies provide pivotal guidance for governments when determining health priority areas and allocating resources. Rigorous methods were used to derive the increasing global burden of MSK conditions.
International Journal of Methods in Psychiatric Research | 2014
Amanda J. Baxter; Theo Vos; Kate M. Scott; Rosana Norman; Abraham D. Flaxman; Jed D. Blore; Harvey Whiteford
Anxiety disorders are increasingly acknowledged as a global health issue however an accurate picture of prevalence across populations is lacking. Empirical data are incomplete and inconsistent so alternate means of estimating prevalence are required to inform estimates for the new Global Burden of Disease Study 2010. We used a Bayesian meta‐regression approach which included empirical epidemiological data, expert prior information, study covariates and population characteristics. Reported are global and regional point prevalence for anxiety disorders in 2010. Point prevalence of anxiety disorders differed by up to three‐fold across world regions, ranging between 2.1% (1.8–2.5%) in East Asia and 6.1% (5.1–7.4%) in North Africa/Middle East. Anxiety was more common in Latin America; high income regions; and regions with a history of recent conflict. There was considerable uncertainty around estimates, particularly for regions where no data were available. Future research is required to examine whether variations in regional distributions of anxiety disorders are substantive differences or an artefact of cultural or methodological differences. This is a particular imperative where anxiety is consistently reported to be less common, and where it appears to be elevated, but uncertainty prevents the reporting of conclusive estimates. Copyright
Population Health Metrics | 2017
Awoke Misganaw; Tilahun Nigatu Haregu; Kebede Deribe; Gizachew Assefa Tessema; Amare Deribew; Yohannes Adama Melaku; Azmeraw T. Amare; Semaw Ferede Abera; Molla Gedefaw; Muluken Dessalegn; Yihunie Lakew; Tolesa Bekele; Mesoud Mohammed; Biruck Desalegn Yirsaw; Solomon Abrha Damtew; Kristopher J Krohn; Tom Achoki; Jed D. Blore; Yibeltal Assefa; Mohsen Naghavi
Background Ethiopia lacks a complete vital registration system that would assist in measuring disease burden and risk factors. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) estimates to describe the mortality burden from communicable, non-communicable, and other diseases in Ethiopia over the last 25 years. Methods GBD 2015 mainly used cause of death ensemble modeling to measure causes of death by age, sex, and year for 195 countries. We report numbers of deaths and rates of years of life lost (YLL) for communicable, maternal, neonatal, and nutritional (CMNN) disorders, non-communicable diseases (NCDs), and injuries with 95% uncertainty intervals (UI) for Ethiopia from 1990 to 2015. Results CMNN causes of death have declined by 65% in the last two-and-a-half decades. Injury-related causes of death have also decreased by 70%. Deaths due to NCDs declined by 37% during the same period. Ethiopia showed a faster decline in the burden of four out of the five leading causes of age-standardized premature mortality rates when compared to the overall sub-Saharan African region and the Eastern sub-Saharan African region: lower respiratory infections, tuberculosis, HIV/AIDS, and diarrheal diseases; however, the same could not be said for ischemic heart disease and other NCDs. Non-communicable diseases, together, were the leading causes of age-standardized mortality rates, whereas CMNN diseases were leading causes of premature mortality in 2015. Although lower respiratory infections, tuberculosis, and diarrheal disease were the leading causes of age-standardized death rates, they showed major declines from 1990 to 2015. Neonatal encephalopathy, iron-deficiency anemia, protein-energy malnutrition, and preterm birth complications also showed more than a 50% reduction in burden. HIV/AIDS-related deaths have also decreased by 70% since 2005. Ischemic heart disease, hemorrhagic stroke, and ischemic stroke were among the top causes of premature mortality and age-standardized death rates in Ethiopia in 2015. Conclusions Ethiopia has been successful in reducing deaths related to communicable, maternal, neonatal, and nutritional deficiency diseases and injuries by 65%, despite unacceptably high maternal and neonatal mortality rates. However, the country’s performance regarding non-communicable diseases, including cardiovascular disease, diabetes, cancer, and chronic respiratory disease, was minimal, causing these diseases to join the leading causes of premature mortality and death rates in 2015. While the country is progressing toward universal health coverage, prevention and control strategies in Ethiopia should consider the double burden of common infectious diseases and non-communicable diseases: lower respiratory infections, diarrhea, tuberculosis, HIV/AIDS, cardiovascular disease, cancer, and diabetes. Prevention and control strategies should also pay special attention to the leading causes of premature mortality and death rates caused by non-communicable diseases: cardiovascular disease, cancer, and diabetes. Measuring further progress requires a data revolution in generating, managing, analyzing, and using data for decision-making and the creation of a full vital registration system in the country.
International Journal of Methods in Psychiatric Research | 2014
Amanda J. Baxter; Theo Vos; Kate M. Scott; Rosana Norman; Abraham D. Flaxman; Jed D. Blore; Harvey Whiteford
Anxiety disorders are increasingly acknowledged as a global health issue however an accurate picture of prevalence across populations is lacking. Empirical data are incomplete and inconsistent so alternate means of estimating prevalence are required to inform estimates for the new Global Burden of Disease Study 2010. We used a Bayesian meta‐regression approach which included empirical epidemiological data, expert prior information, study covariates and population characteristics. Reported are global and regional point prevalence for anxiety disorders in 2010. Point prevalence of anxiety disorders differed by up to three‐fold across world regions, ranging between 2.1% (1.8–2.5%) in East Asia and 6.1% (5.1–7.4%) in North Africa/Middle East. Anxiety was more common in Latin America; high income regions; and regions with a history of recent conflict. There was considerable uncertainty around estimates, particularly for regions where no data were available. Future research is required to examine whether variations in regional distributions of anxiety disorders are substantive differences or an artefact of cultural or methodological differences. This is a particular imperative where anxiety is consistently reported to be less common, and where it appears to be elevated, but uncertainty prevents the reporting of conclusive estimates. Copyright
International Journal of Methods in Psychiatric Research | 2014
Amanda J. Baxter; Theo Vos; Kate M. Scott; Rosana Norman; Abraham D. Flaxman; Jed D. Blore; Harvey Whiteford
Anxiety disorders are increasingly acknowledged as a global health issue however an accurate picture of prevalence across populations is lacking. Empirical data are incomplete and inconsistent so alternate means of estimating prevalence are required to inform estimates for the new Global Burden of Disease Study 2010. We used a Bayesian meta‐regression approach which included empirical epidemiological data, expert prior information, study covariates and population characteristics. Reported are global and regional point prevalence for anxiety disorders in 2010. Point prevalence of anxiety disorders differed by up to three‐fold across world regions, ranging between 2.1% (1.8–2.5%) in East Asia and 6.1% (5.1–7.4%) in North Africa/Middle East. Anxiety was more common in Latin America; high income regions; and regions with a history of recent conflict. There was considerable uncertainty around estimates, particularly for regions where no data were available. Future research is required to examine whether variations in regional distributions of anxiety disorders are substantive differences or an artefact of cultural or methodological differences. This is a particular imperative where anxiety is consistently reported to be less common, and where it appears to be elevated, but uncertainty prevents the reporting of conclusive estimates. Copyright
Psychological Medicine | 2015
Jed D. Blore; Malcolm Ross Sim; Andrew Forbes; Mark Creamer; Helen L Kelsall
Population Health Metrics | 2017
Awoke Misganaw; Yohannes Adama Melaku; Gizachew Assefa Tessema; Amare Deribew; Kebede Deribe; Semaw Ferede Abera; Muluken Dessalegn; Yihunie Lakew; Tolesa Bekele; Tilahun Nigatu Haregu; Azmeraw T. Amare; Molla Gedefaw; Mesoud Mohammed; Biruck Desalegn Yirsaw; Solomon Abrha Damtew; Tom Achoki; Jed D. Blore; Kristopher J Krohn; Yibeltal Assefa; Mahlet Kifle; Mohsen Naghavi
Archive | 2015
Yong Yi Lee; Theo Vos; Abraham D. Flaxman; Jed D. Blore; Louisa Degenhardt
Archive | 2015
Amanda J. Baxter; Jed D. Blore; Abraham D. Flaxman; Theo Vos; Harvey Whiteford