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Fiona J Charlson - One of the best experts on this subject based on the ideXlab platform.
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burden of non communicable Diseases in sub saharan africa 1990 2017 results from the global burden of disease study 2017
The Lancet Global Health, 2019Co-Authors: Hebe N Gouda, Fiona J Charlson, Katherine Sorsdahl, Sanam Ahmadzada, Alize J FerrariAbstract:Summary Background Although the burden of disease in sub-Saharan Africa continues to be dominated by infectious Diseases, countries in this region are undergoing a demographic transition leading to increasing prevalence of non-communicable Diseases (NCDs). To inform health system responses to these changing patterns of disease, we aimed to assess changes in the burden of NCDs in sub-Saharan Africa from 1990 to 2017. Methods We used data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to analyse the burden of NCDs in sub-Saharan Africa in terms of disability-adjusted life-years (DALYs)—with crude counts as well as all-age and age-standardised rates per 100 000 population—with 95% uncertainty intervals (UIs). We examined changes in burden between 1990 and 2017, and differences across age, sex, and regions. We also compared the observed NCD burden across countries with the expected values based on a country's Socio-demographic Index. Findings All-age total DALYs due to NCDs increased by 67·0% between 1990 (90·6 million [95% UI 81·0–101·9]) and 2017 (151·3 million [133·4–171·8]), reflecting an increase in the proportion of total DALYs attributable to NCDs (from 18·6% [95% UI 17·1–20·4] to 29·8% [27·6–32·0] of the total burden). Although most of this increase can be explained by population growth and ageing, the age-standardised DALY rate (per 100 000 population) due to NCDs in 2017 (21 757·7 DALYs [95% UI 19 377·1–24 380·7]) was almost equivalent to that of communicable, maternal, neonatal, and Nutritional Diseases (26 491·6 DALYs [25 165·2–28 129·8]). Cardiovascular Diseases were the second leading cause of NCD burden in 2017, resulting in 22·9 million (21·5–24·3) DALYs (15·1% of the total NCD burden), after the group of disorders categorised as other NCDs (28·8 million [25·1–33·0] DALYs, 19·1%). These categories were followed by neoplasms, mental disorders, and digestive Diseases. Although crude DALY rates for all NCDs have decreased slightly across sub-Saharan Africa, age-standardised rates are on the rise in some countries (particularly those in southern sub-Saharan Africa) and for some NCDs (such as diabetes and some cancers, including breast and prostate cancer). Interpretation NCDs in sub-Saharan Africa are posing an increasing challenge for health systems, which have to date largely focused on tackling infectious Diseases and maternal, neonatal, and child deaths. To effectively address these changing needs, countries in sub-Saharan Africa require detailed epidemiological data on NCDs. Funding Bill & Melinda Gates Foundation, National Health and Medical Research Centre (Australia).
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global regional and national life expectancy all cause mortality and cause specific mortality for 249 causes of death 1980 2015 a systematic analysis for the global burden of disease study 2015
The Lancet, 2016Co-Authors: Haidong Wang, Ryan M. Barber, Fiona J Charlson, Mohsen Naghavi, Christine Allen, Zulfiqar A Bhutta, Austin Carter, Daniel C CaseyAbstract:Summary Background Improving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and trends. The Global Burden of Disease 2015 Study (GBD 2015) provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015. These results informed an in-depth investigation of observed and expected mortality patterns based on sociodemographic measures. Methods We estimated all-cause mortality by age, sex, geography, and year using an improved analytical approach originally developed for GBD 2013 and GBD 2010. Improvements included refinements to the estimation of child and adult mortality and corresponding uncertainty, parameter selection for under-5 mortality synthesis by spatiotemporal Gaussian process regression, and sibling history data processing. We also expanded the database of vital registration, survey, and census data to 14 294 geography–year datapoints. For GBD 2015, eight causes, including Ebola virus disease, were added to the previous GBD cause list for mortality. We used six modelling approaches to assess cause-specific mortality, with the Cause of Death Ensemble Model (CODEm) generating estimates for most causes. We used a series of novel analyses to systematically quantify the drivers of trends in mortality across geographies. First, we assessed observed and expected levels and trends of cause-specific mortality as they relate to the Socio-demographic Index (SDI), a summary indicator derived from measures of income per capita, educational attainment, and fertility. Second, we examined factors affecting total mortality patterns through a series of counterfactual scenarios, testing the magnitude by which population growth, population age structures, and epidemiological changes contributed to shifts in mortality. Finally, we attributed changes in life expectancy to changes in cause of death. We documented each step of the GBD 2015 estimation processes, as well as data sources, in accordance with Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). Findings Globally, life expectancy from birth increased from 61·7 years (95% uncertainty interval 61·4–61·9) in 1980 to 71·8 years (71·5–72·2) in 2015. Several countries in sub-Saharan Africa had very large gains in life expectancy from 2005 to 2015, rebounding from an era of exceedingly high loss of life due to HIV/AIDS. At the same time, many geographies saw life expectancy stagnate or decline, particularly for men and in countries with rising mortality from war or interpersonal violence. From 2005 to 2015, male life expectancy in Syria dropped by 11·3 years (3·7–17·4), to 62·6 years (56·5–70·2). Total deaths increased by 4·1% (2·6–5·6) from 2005 to 2015, rising to 55·8 million (54·9 million to 56·6 million) in 2015, but age-standardised death rates fell by 17·0% (15·8–18·1) during this time, underscoring changes in population growth and shifts in global age structures. The result was similar for non-communicable Diseases (NCDs), with total deaths from these causes increasing by 14·1% (12·6–16·0) to 39·8 million (39·2 million to 40·5 million) in 2015, whereas age-standardised rates decreased by 13·1% (11·9–14·3). Globally, this mortality pattern emerged for several NCDs, including several types of cancer, ischaemic heart disease, cirrhosis, and Alzheimer's disease and other dementias. By contrast, both total deaths and age-standardised death rates due to communicable, maternal, neonatal, and Nutritional conditions significantly declined from 2005 to 2015, gains largely attributable to decreases in mortality rates due to HIV/AIDS (42·1%, 39·1–44·6), malaria (43·1%, 34·7–51·8), neonatal preterm birth complications (29·8%, 24·8–34·9), and maternal disorders (29·1%, 19·3–37·1). Progress was slower for several causes, such as lower respiratory infections and Nutritional deficiencies, whereas deaths increased for others, including dengue and drug use disorders. Age-standardised death rates due to injuries significantly declined from 2005 to 2015, yet interpersonal violence and war claimed increasingly more lives in some regions, particularly in the Middle East. In 2015, rotaviral enteritis (rotavirus) was the leading cause of under-5 deaths due to diarrhoea (146 000 deaths, 118 000–183 000) and pneumococcal pneumonia was the leading cause of under-5 deaths due to lower respiratory infections (393 000 deaths, 228 000–532 000), although pathogen-specific mortality varied by region. Globally, the effects of population growth, ageing, and changes in age-standardised death rates substantially differed by cause. Our analyses on the expected associations between cause-specific mortality and SDI show the regular shifts in cause of death composition and population age structure with rising SDI. Country patterns of premature mortality (measured as years of life lost [YLLs]) and how they differ from the level expected on the basis of SDI alone revealed distinct but highly heterogeneous patterns by region and country or territory. Ischaemic heart disease, stroke, and diabetes were among the leading causes of YLLs in most regions, but in many cases, intraregional results sharply diverged for ratios of observed and expected YLLs based on SDI. Communicable, maternal, neonatal, and Nutritional Diseases caused the most YLLs throughout sub-Saharan Africa, with observed YLLs far exceeding expected YLLs for countries in which malaria or HIV/AIDS remained the leading causes of early death. Interpretation At the global scale, age-specific mortality has steadily improved over the past 35 years; this pattern of general progress continued in the past decade. Progress has been faster in most countries than expected on the basis of development measured by the SDI. Against this background of progress, some countries have seen falls in life expectancy, and age-standardised death rates for some causes are increasing. Despite progress in reducing age-standardised death rates, population growth and ageing mean that the number of deaths from most non-communicable causes are increasing in most countries, putting increased demands on health systems. Funding Bill & Melinda Gates Foundation.
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global regional and national life expectancy all cause mortality and cause specific mortality for 249 causes of death 1980 2015 a systematic analysis for the global burden of disease study 2015
The Lancet, 2016Co-Authors: Haidong Wang, Ryan M. Barber, Fiona J Charlson, Mohsen Naghavi, Christine Allen, Zulfiqar A Bhutta, Austin Carter, Daniel C CaseyAbstract:Summary Background Improving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and trends. The Global Burden of Disease 2015 Study (GBD 2015) provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015. These results informed an in-depth investigation of observed and expected mortality patterns based on sociodemographic measures. Methods We estimated all-cause mortality by age, sex, geography, and year using an improved analytical approach originally developed for GBD 2013 and GBD 2010. Improvements included refinements to the estimation of child and adult mortality and corresponding uncertainty, parameter selection for under-5 mortality synthesis by spatiotemporal Gaussian process regression, and sibling history data processing. We also expanded the database of vital registration, survey, and census data to 14 294 geography–year datapoints. For GBD 2015, eight causes, including Ebola virus disease, were added to the previous GBD cause list for mortality. We used six modelling approaches to assess cause-specific mortality, with the Cause of Death Ensemble Model (CODEm) generating estimates for most causes. We used a series of novel analyses to systematically quantify the drivers of trends in mortality across geographies. First, we assessed observed and expected levels and trends of cause-specific mortality as they relate to the Socio-demographic Index (SDI), a summary indicator derived from measures of income per capita, educational attainment, and fertility. Second, we examined factors affecting total mortality patterns through a series of counterfactual scenarios, testing the magnitude by which population growth, population age structures, and epidemiological changes contributed to shifts in mortality. Finally, we attributed changes in life expectancy to changes in cause of death. We documented each step of the GBD 2015 estimation processes, as well as data sources, in accordance with Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). Findings Globally, life expectancy from birth increased from 61·7 years (95% uncertainty interval 61·4–61·9) in 1980 to 71·8 years (71·5–72·2) in 2015. Several countries in sub-Saharan Africa had very large gains in life expectancy from 2005 to 2015, rebounding from an era of exceedingly high loss of life due to HIV/AIDS. At the same time, many geographies saw life expectancy stagnate or decline, particularly for men and in countries with rising mortality from war or interpersonal violence. From 2005 to 2015, male life expectancy in Syria dropped by 11·3 years (3·7–17·4), to 62·6 years (56·5–70·2). Total deaths increased by 4·1% (2·6–5·6) from 2005 to 2015, rising to 55·8 million (54·9 million to 56·6 million) in 2015, but age-standardised death rates fell by 17·0% (15·8–18·1) during this time, underscoring changes in population growth and shifts in global age structures. The result was similar for non-communicable Diseases (NCDs), with total deaths from these causes increasing by 14·1% (12·6–16·0) to 39·8 million (39·2 million to 40·5 million) in 2015, whereas age-standardised rates decreased by 13·1% (11·9–14·3). Globally, this mortality pattern emerged for several NCDs, including several types of cancer, ischaemic heart disease, cirrhosis, and Alzheimer's disease and other dementias. By contrast, both total deaths and age-standardised death rates due to communicable, maternal, neonatal, and Nutritional conditions significantly declined from 2005 to 2015, gains largely attributable to decreases in mortality rates due to HIV/AIDS (42·1%, 39·1–44·6), malaria (43·1%, 34·7–51·8), neonatal preterm birth complications (29·8%, 24·8–34·9), and maternal disorders (29·1%, 19·3–37·1). Progress was slower for several causes, such as lower respiratory infections and Nutritional deficiencies, whereas deaths increased for others, including dengue and drug use disorders. Age-standardised death rates due to injuries significantly declined from 2005 to 2015, yet interpersonal violence and war claimed increasingly more lives in some regions, particularly in the Middle East. In 2015, rotaviral enteritis (rotavirus) was the leading cause of under-5 deaths due to diarrhoea (146 000 deaths, 118 000–183 000) and pneumococcal pneumonia was the leading cause of under-5 deaths due to lower respiratory infections (393 000 deaths, 228 000–532 000), although pathogen-specific mortality varied by region. Globally, the effects of population growth, ageing, and changes in age-standardised death rates substantially differed by cause. Our analyses on the expected associations between cause-specific mortality and SDI show the regular shifts in cause of death composition and population age structure with rising SDI. Country patterns of premature mortality (measured as years of life lost [YLLs]) and how they differ from the level expected on the basis of SDI alone revealed distinct but highly heterogeneous patterns by region and country or territory. Ischaemic heart disease, stroke, and diabetes were among the leading causes of YLLs in most regions, but in many cases, intraregional results sharply diverged for ratios of observed and expected YLLs based on SDI. Communicable, maternal, neonatal, and Nutritional Diseases caused the most YLLs throughout sub-Saharan Africa, with observed YLLs far exceeding expected YLLs for countries in which malaria or HIV/AIDS remained the leading causes of early death. Interpretation At the global scale, age-specific mortality has steadily improved over the past 35 years; this pattern of general progress continued in the past decade. Progress has been faster in most countries than expected on the basis of development measured by the SDI. Against this background of progress, some countries have seen falls in life expectancy, and age-standardised death rates for some causes are increasing. Despite progress in reducing age-standardised death rates, population growth and ageing mean that the number of deaths from most non-communicable causes are increasing in most countries, putting increased demands on health systems. Funding Bill & Melinda Gates Foundation.
Laith J. Abu-raddad - One of the best experts on this subject based on the ideXlab platform.
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Global, regional, and national disability-adjusted life years (DALYs) for 306 Diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: quantifying the epidemiological transition.
Lancet, 2015Co-Authors: Christopher J L Murray, Ryan M. Barber, Jerry P. Abraham, Semaw Ferede Abera, Kyle J Foreman, Ibrahim Abubakar, Victor Aboyans, Foad Abd-allah, Ayse Abbasoglu Ozgoren, Laith J. Abu-raddadAbstract:The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6-6·6), from 65·3 years (65·0-65·6) in 1990 to 71·5 years (71·0-71·9) in 2013, HALE at birth rose by 5·4 years (4·9-5·8), from 56·9 years (54·5-59·1) to 62·3 years (59·7-64·8), total DALYs fell by 3·6% (0·3-7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6-29·1). For communicable, maternal, neonatal, and Nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non-communicable Diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable Diseases, including cardiovascular Diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious Diseases; maternal disorders; neonatal disorders; Nutritional deficiencies; other communicable, maternal, neonatal, and Nutritional Diseases; musculoskeletal disorders; and other non-communicable Diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular Diseases; chronic respiratory Diseases; cirrhosis; diabetes, urogenital, blood, and endocrine Diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition--in which increasing sociodemographic status brings structured change in disease burden--is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. Bill & Melinda Gates Foundation.
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Global, regional, and national disability-adjusted life years (DALYs) for 306 Diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: Quantifying the epidemiological transition
The Lancet, 2015Co-Authors: Christopher J L Murray, Ryan M. Barber, Ayse Abbasoglu Ozgoren, Jerry P. Abraham, Semaw Ferede Abera, Kyle J Foreman, Ibrahim Abubakar, Victor Aboyans, Foad Abd-allah, Laith J. Abu-raddadAbstract:Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. Methods We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Findings Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6-6·6), from 65·3 years (65·0-65·6) in 1990 to 71·5 years (71·0-71·9) in 2013, HALE at birth rose by 5·4 years (4·9-5·8), from 56·9 years (54·5-59·1) to 62·3 years (59·7-64·8), total DALYs fell by 3·6% (0·3-7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6-29·1). For communicable, maternal, neonatal, and Nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non-communicable Diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable Diseases, including cardiovascular Diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious Diseases; maternal disorders; neonatal disorders; Nutritional deficiencies; other communicable, maternal, neonatal, and Nutritional Diseases; musculoskeletal disorders; and other non-communicable Diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular Diseases; chronic respiratory Diseases; cirrhosis; diabetes, urogenital, blood, and endocrine Diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Interpretation Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition - in which increasing sociodemographic status brings structured change in disease burden - is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions.
Soriano, Joan B. - One of the best experts on this subject based on the ideXlab platform.
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La carga de enfermedad en España: resultados del Estudio de la Carga Global de las Enfermedades 2016
'Elsevier BV', 2019Co-Authors: Soriano, Joan B., Rojas-rueda David, Alonso Jordi, Cardona Pere-joan, Garcia-basteiro, Alberto L., Benavides, Fernando G., Glenn, Scott D., Antó Boqué, Josep I Maria, Fernández Muñoz Esteve, Krish VarshaAbstract:[eng] The global burden of disease (GBD) project measures the health of populations worldwide on an annual basis, and results are available by country. We used the estimates of the GBD to summarise the state of health in Spain in 2016 and report trends in mortality and morbidity from 1990 to 2016. MATERIAL AND METHODS: GBD 2016 estimated disease burden due to 333 Diseases and injuries, and 84 risk factors. The GBD list of causes is hierarchical and includes 3 top level categories, namely: 1) communicable, maternal, neonatal, and Nutritional Diseases; 2) non-communicable Diseases (NCDs), and 3) injuries. Mortality and disability-adjusted life-years (DALYs), risk factors, and progress towards the sustainable development goals (SDGs) are presented based on the GBD 2016 data in Spain. RESULTS: There were 418,516 deaths in Spain in 2016, from a total population of 46.5 million, and 80.5% of them occurred in those aged 70 years and older. Overall, NCDs were the main cause of death: 388,617 (95% uncertainty interval 374,959-402,486), corresponding to 92.8% of all deaths. They were followed by 3.6% due to injuries with 15,052 (13,902-17,107) deaths, and 3.5% communicable Diseases with 14,847 (13,208-16,482) deaths. The 5 leading specific causes of death were ischaemic heart disease (IHD, 14.6% of all deaths), Alzheimer disease and other dementias (13.6%), stroke (7.1%), chronic obstructive pulmonary disease (6.9%), and lung cancer (5.0%). Remarkable increases in mortality from 1990 to 2016 were observed in other cancers, lower respiratory infections, chronic kidney disease, and other cardiovascular disease, among others. On the contrary, road injuries moved down from 8th to 32nd position, and diabetes from 6th to 10th. Low back and neck pain became the number one cause of DALYs in Spain in 2016, just surpassing IHD, while Alzheimer disease moved from 9th to 3rd position. The greatest changes in DALYs were observed for road injuries dropping from 4th to 16th position, and congenital disorders from 17th to 35th; conversely, oral disorders rose from 25th to 17th. Overall, smoking is by far the most relevant risk factor in Spain, followed by high blood pressure, high body mass index, alcohol use, and high fasting plasma glucose. Finally, Spain scored 74.3 of 100 points in the SDG index classification in 2016, and the main national drivers of detrimental health in SDGs were alcohol consumption, smoking and child obesity. An increase to 80.3 points is projected in 2030. CONCLUSION: Low back and neck pain was the most important contributor of disability in Spain in 2016. There has seen a remarkable increase in the burden due to Alzheimer disease and other dementias. Tobacco remains the most important health issue to address in Spain.[spa] Antecedentes y objetivo: El estudio de la carga global de las enfermedades, conocido como GBD por sus siglas en inglés (global burden of disease), mide la salud poblacional en todo el mundo de forma anual y sus resultados están disponibles por país. Utilizamos las estimaciones GBD para resumir el estado de salud poblacional en Espana˜ en 2016 y describir las tendencias en morbimortalidad de 1990 a 2016. Material y métodos: GBD 2016 estima la carga debida a 333 enfermedades y lesiones, y a 84 factores de riesgo. La lista de causas de GBD es jerárquica e incluye 3 categorías de nivel superior: 1) enfermedades transmisibles, maternas, neonatales y nutricionales; 2) enfermedades no transmisibles (ENT), y 3) accidentes. Se presentan la mortalidad, los anos ˜ de vida ajustados por discapacidad (AVAD), los factores de riesgo y el progreso hacia los objetivos de desarrollo sostenible (ODS) a partir de los datos de GBD 2016 en Espana. ˜ Resultados: En 2016 en Espana˜ hubo 418.516 muertes, de una población total de 46,5 millones, y el 80,5% de ellas ocurrieron en personas de 70 anos ˜ o más. Las ENT fueron la principal causa de muerte (92,8%), con 388.617 (intervalo de incertidumbre del 95% 374.959–402.486), seguidas de los accidentes (3,6%), con 15.052 (13.902–17.107), y de las enfermedades transmisibles (3,5%), con 14.847 (13.208–16.482) muertes. Las 5 principales causas específicas de muerte fueron la cardiopatía isquémica (CI), con el 14,6% de todas las muertes, la enfermedad de Alzheimer y otras demencias (13,6%), el accidente cerebrovascular (7,1%), la enfermedad pulmonar obstructiva crónica (6,9%) y el cáncer de pulmón (5,0%). Se observaron incrementos notables en la mortalidad de 1990 a 2016 en otros cánceres, infecciones respiratorias del tracto inferior, enfermedad renal crónica y otras enfermedades cardiovasculares, entre otros. Por el contrario, los accidentes de tráfico bajaron del puesto 8 al 32 y la diabetes del 6 al 10. Los dolores de espalda y cervicales se convirtieron en la causa principal de AVAD en Espana˜ en 2016, superando a la CI, mientras que la enfermedad de Alzheimer pasó del puesto 9 al 3. Los mayores cambios en AVAD se observaron para accidentes de tráfico, que cayeron de la posición 4 a la posición 16, y los trastornos congénitos, de la 17 a la 35; por el contrario, los trastornos orales aumentaron, pasando del puesto 25 al 17. En general, fumar es, con mucho, el factor de riesgo más relevante en Espana, ˜ seguido de presión arterial alta, índice de masa corporal alto, consumo de alcohol y glucemia alta en ayunas. Finalmente, Espana˜ obtuvo 74,3 sobre 100 puntos en la clasificación del índice ODS en 2016, y los principales determinantes de salud nacionales relacionados con los ODS fueron el consumo de alcohol, el tabaquismo y la obesidad infantil. Se proyecta un aumento a 80,3 puntos en 2030. Conclusión: Los dolores de espalda y cervical fueron el contribuyente más importante de discapacidad en Espana˜ en 2016. Hubo un aumento notable de la carga poblacional debida a la enfermedad de Alzheimer y otras demencias. El tabaco sigue siendo el riesgo para la salud más importante que debe abordarse en Espan
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The burden of disease in Spain: Results from the Global Burden of Disease 2016
2018Co-Authors: Soriano, Joan B., Rojas-rueda David, Alonso Jordi, Antó, Josep M., Cardona Pere-joan, Fernández Esteve, Garcia-basteiro, Alberto L., Benavides, Fernando G., Glenn, Scott D., Krish VarshaAbstract:Background and objectives: The global burden of disease (GBD) project measures the health of populations worldwide on an annual basis, and results are available by country. We used the estimates of the GBD to summarise the state of health in Spain in 2016 and report trends in mortality and morbidity from 1990 to 2016. Material and methods: GBD 2016 estimated disease burden due to 333 Diseases and injuries, and 84 risk factors. The GBD list of causes is hierarchical and includes 3 top level categories, namely: 1) communicable, maternal, neonatal, and Nutritional Diseases; 2) non-communicable Diseases (NCDs), and 3) injuries. Mortality and disability-adjusted life-years (DALYs), risk factors, and progress towards the sustainable development goals (SDGs) are presented based on the GBD 2016 data in Spain. Results: There were 418,516 deaths in Spain in 2016, from a total population of 46.5 million, and 80.5% of them occurred in those aged 70 years and older. Overall, NCDs were the main cause of death: 388,617 (95% uncertainty interval 374,959-402,486), corresponding to 92.8% of all deaths. They were followed by 3.6% due to injuries with 15,052 (13,902-17,107) deaths, and 3.5% communicable Diseases with 14,847 (13,208-16,482) deaths. The 5 leading specific causes of death were ischaemic heart disease (IHD, 14.6% of all deaths), Alzheimer disease and other dementias (13.6%), stroke (7.1%), chronic obstructive pulmonary disease (6.9%), and lung cancer (5.0%). Remarkable increases in mortality from 1990 to 2016 were observed in other cancers, lower respiratory infections, chronic kidney disease, and other cardiovascular disease, among others. On the contrary, road injuries moved down from 8th to 32nd position, and diabetes from 6th to 10th. Low back and neck pain became the number one cause of DALYs in Spain in 2016, just surpassing IHD, while Alzheimer disease moved from 9th to 3rd position. The greatest changes in DALYs were observed for road injuries dropping from 4th to 16th position, and congenital disorders from 17th to 35th; conversely, oral disorders rose from 25th to 17th. Overall, smoking is by far the most relevant risk factor in Spain, followed by high blood pressure, high body mass index, alcohol use, and high fasting plasma glucose. Finally, Spain scored 74.3 of 100 points in the SDG index classification in 2016, and the main national drivers of detrimental health in SDGs were alcohol consumption, smoking and child obesity. An increase to 80.3 points is projected in 2030. Conclusion: Low back and neck pain was the most important contributor of disability in Spain in 2016. There has seen a remarkable increase in the burden due to Alzheimer disease and other dementias. Tobacco remains the most important health issue to address in Spain
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La carga de enfermedad en España: resultados del Estudio de la Carga Global de las Enfermedades 2016
'Elsevier BV', 2018Co-Authors: Soriano, Joan B., Antó Boqué, Josep I Maria, Rojas Rueda, David 1979-, Alonso Caballero Jordi, Benavides, Fernando G. García), Lazarus Jeffrey, Nieuwenhuijsen, Mark J., Global Burden Of Disease 2016 Risk Factors CollaboratorsAbstract:Background and objectives: The global burden of disease (GBD) project measures the health of populations worldwide on an annual basis, and results are available by country. We used the estimates of the GBD to summarise the state of health in Spain in 2016 and report trends in mortality and morbidity from 1990 to 2016. Material and methods: GBD 2016 estimated disease burden due to 333 Diseases and injuries, and 84 risk factors. The GBD list of causes is hierarchical and includes 3 top level categories, namely: (1) communicable, maternal, neonatal, and Nutritional Diseases;(2) non-communicable Diseases (NCDs), and (3)injuries. Mortality and disability-adjusted life-years (DALYs), risk factors, and progress towards the sustainable development goals (SDGs) are presented based on the GBD 2016 data in Spain. Results: There were 418,516 deaths in Spain in 2016, from a total population of 46.5 million, and 80.5% of them occurred in those aged 70 years and older. Overall, NCDs were the main cause of death: 388,617 (95% uncertainty interval 374,959–402,486), corresponding to 92.8% of all deaths. They were followed by 3.6% due to injuries with 15,052 (13,902–17,107) deaths, and 3.5% communicable Diseases with 14,847 (13,208–16,482) deaths. The 5 leading specific causes of death were ischaemic heart disease (IHD, 14.6% of all deaths), Alzheimer disease and other dementias (13.6%), stroke (7.1%), chronic obstructive pulmonary disease (6.9%), and lung cancer (5.0%). Remarkable increases in mortality from 1990 to 2016 were observed in other cancers, lower respiratory infections, chronic kidney disease, and other cardiovascular disease, among others. On the contrary, road injuries moved down from 8th to 32nd position, and diabetes from 6th to 10th. Low back and neck pain became the number one cause of DALYs in Spain in 2016, just surpassing IHD, while Alzheimer disease moved from 9th to 3rd position. The greatest changes in DALYs were observed for road injuries dropping from 4th to 16th position, and congenital disorders from 17th to 35th; conversely, oral disorders rose from 25th to 17th. Overall, smoking is by far the most relevant risk factor in Spain, followed by high blood pressure, high body mass index, alcohol use, and high fasting plasma glucose. Finally, Spain scored 74.3 of 100 points in the SDG index classification in 2016, and the main national drivers of detrimental health in SDGs were alcohol consumption, smoking and child obesity. An increase to 80.3 points is projected in 2030. Conclusion: Low back and neck pain was the most important contributor of disability in Spain in 2016. There has seen a remarkable increase in the burden due to Alzheimer disease and other dementias. Tobacco remains the most important health issue to address in Spain.Antecedentes y objetivo: El estudio de la carga global de las enfermedades, conocido como GBD por sus siglas en inglés (global burden of disease), mide la salud poblacional en todo el mundo de forma anual y sus resultados están disponibles por país. Utilizamos las estimaciones GBD para resumir el estado de salud poblacional en España en 2016 y describir las tendencias en morbimortalidad de 1990 a 2016. Material y métodos: GBD 2016 estima la carga debida a 333 enfermedades y lesiones, y a 84 factores de riesgo. La lista de causas de GBD es jerárquica e incluye 3 categorías de nivel superior: 1) enfermedades transmisibles, maternas, neonatales y nutricionales; 2) enfermedades no transmisibles (ENT), y 3) accidentes. Se presentan la mortalidad, los años de vida ajustados por discapacidad (AVAD), los factores de riesgo y el progreso hacia los objetivos de desarrollo sostenible (ODS) a partir de los datos de GBD 2016 en España. Resultados: En 2016 en España hubo 418.516 muertes, de una población total de 46,5 millones, y el 80,5% de ellas ocurrieron en personas de 70 años o más. Las ENT fueron la principal causa de muerte (92,8%), con 388.617 (intervalo de incertidumbre del 95% 374.959–402.486), seguidas de los accidentes (3,6%), con 15.052 (13.902–17.107), y de las enfermedades transmisibles (3,5%), con 14.847 (13.208–16.482) muertes. Las 5 principales causas específicas de muerte fueron la cardiopatía isquémica (CI), con el 14,6% de todas las muertes, la enfermedad de Alzheimer y otras demencias (13,6%), el accidente cerebrovascular (7,1%), la enfermedad pulmonar obstructiva crónica (6,9%) y el cáncer de pulmón (5,0%). Se observaron incrementos notables en la mortalidad de 1990 a 2016 en otros cánceres, infecciones respiratorias del tracto inferior, enfermedad renal crónica y otras enfermedades cardiovasculares, entre otros. Por el contrario, los accidentes de tráfico bajaron del puesto 8 al 32 y la diabetes del 6 al 10. Los dolores de espalda y cervicales se convirtieron en la causa principal de AVAD en España en 2016, superando a la CI, mientras que la enfermedad de Alzheimer pasó del puesto 9 al 3. Los mayores cambios en AVAD se observaron para accidentes de tráfico, que cayeron de la posición 4 a la posición 16, y los trastornos congénitos, de la 17 a la 35; por el contrario, los trastornos orales aumentaron, pasando del puesto 25 al 17. En general, fumar es, con mucho, el factor de riesgo más relevante en España, seguido de presión arterial alta, índice de masa corporal alto, consumo de alcohol y glucemia alta en ayunas. Finalmente, España obtuvo 74,3 sobre 100 puntos en la clasificación del índice ODS en 2016, y los principales determinantes de salud nacionales relacionados con los ODS fueron el consumo de alcohol, el tabaquismo y la obesidad infantil. Se proyecta un aumento a 80,3 puntos en 2030. Conclusión: Los dolores de espalda y cervical fueron el contribuyente más importante de discapacidad en España en 2016. Hubo un aumento notable de la carga poblacional debida a la enfermedad de Alzheimer y otras demencias. El tabaco sigue siendo el riesgo para la salud más importante que debe abordarse en España
Ryan M. Barber - One of the best experts on this subject based on the ideXlab platform.
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global regional and national life expectancy all cause mortality and cause specific mortality for 249 causes of death 1980 2015 a systematic analysis for the global burden of disease study 2015
The Lancet, 2016Co-Authors: Haidong Wang, Ryan M. Barber, Fiona J Charlson, Mohsen Naghavi, Christine Allen, Zulfiqar A Bhutta, Austin Carter, Daniel C CaseyAbstract:Summary Background Improving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and trends. The Global Burden of Disease 2015 Study (GBD 2015) provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015. These results informed an in-depth investigation of observed and expected mortality patterns based on sociodemographic measures. Methods We estimated all-cause mortality by age, sex, geography, and year using an improved analytical approach originally developed for GBD 2013 and GBD 2010. Improvements included refinements to the estimation of child and adult mortality and corresponding uncertainty, parameter selection for under-5 mortality synthesis by spatiotemporal Gaussian process regression, and sibling history data processing. We also expanded the database of vital registration, survey, and census data to 14 294 geography–year datapoints. For GBD 2015, eight causes, including Ebola virus disease, were added to the previous GBD cause list for mortality. We used six modelling approaches to assess cause-specific mortality, with the Cause of Death Ensemble Model (CODEm) generating estimates for most causes. We used a series of novel analyses to systematically quantify the drivers of trends in mortality across geographies. First, we assessed observed and expected levels and trends of cause-specific mortality as they relate to the Socio-demographic Index (SDI), a summary indicator derived from measures of income per capita, educational attainment, and fertility. Second, we examined factors affecting total mortality patterns through a series of counterfactual scenarios, testing the magnitude by which population growth, population age structures, and epidemiological changes contributed to shifts in mortality. Finally, we attributed changes in life expectancy to changes in cause of death. We documented each step of the GBD 2015 estimation processes, as well as data sources, in accordance with Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). Findings Globally, life expectancy from birth increased from 61·7 years (95% uncertainty interval 61·4–61·9) in 1980 to 71·8 years (71·5–72·2) in 2015. Several countries in sub-Saharan Africa had very large gains in life expectancy from 2005 to 2015, rebounding from an era of exceedingly high loss of life due to HIV/AIDS. At the same time, many geographies saw life expectancy stagnate or decline, particularly for men and in countries with rising mortality from war or interpersonal violence. From 2005 to 2015, male life expectancy in Syria dropped by 11·3 years (3·7–17·4), to 62·6 years (56·5–70·2). Total deaths increased by 4·1% (2·6–5·6) from 2005 to 2015, rising to 55·8 million (54·9 million to 56·6 million) in 2015, but age-standardised death rates fell by 17·0% (15·8–18·1) during this time, underscoring changes in population growth and shifts in global age structures. The result was similar for non-communicable Diseases (NCDs), with total deaths from these causes increasing by 14·1% (12·6–16·0) to 39·8 million (39·2 million to 40·5 million) in 2015, whereas age-standardised rates decreased by 13·1% (11·9–14·3). Globally, this mortality pattern emerged for several NCDs, including several types of cancer, ischaemic heart disease, cirrhosis, and Alzheimer's disease and other dementias. By contrast, both total deaths and age-standardised death rates due to communicable, maternal, neonatal, and Nutritional conditions significantly declined from 2005 to 2015, gains largely attributable to decreases in mortality rates due to HIV/AIDS (42·1%, 39·1–44·6), malaria (43·1%, 34·7–51·8), neonatal preterm birth complications (29·8%, 24·8–34·9), and maternal disorders (29·1%, 19·3–37·1). Progress was slower for several causes, such as lower respiratory infections and Nutritional deficiencies, whereas deaths increased for others, including dengue and drug use disorders. Age-standardised death rates due to injuries significantly declined from 2005 to 2015, yet interpersonal violence and war claimed increasingly more lives in some regions, particularly in the Middle East. In 2015, rotaviral enteritis (rotavirus) was the leading cause of under-5 deaths due to diarrhoea (146 000 deaths, 118 000–183 000) and pneumococcal pneumonia was the leading cause of under-5 deaths due to lower respiratory infections (393 000 deaths, 228 000–532 000), although pathogen-specific mortality varied by region. Globally, the effects of population growth, ageing, and changes in age-standardised death rates substantially differed by cause. Our analyses on the expected associations between cause-specific mortality and SDI show the regular shifts in cause of death composition and population age structure with rising SDI. Country patterns of premature mortality (measured as years of life lost [YLLs]) and how they differ from the level expected on the basis of SDI alone revealed distinct but highly heterogeneous patterns by region and country or territory. Ischaemic heart disease, stroke, and diabetes were among the leading causes of YLLs in most regions, but in many cases, intraregional results sharply diverged for ratios of observed and expected YLLs based on SDI. Communicable, maternal, neonatal, and Nutritional Diseases caused the most YLLs throughout sub-Saharan Africa, with observed YLLs far exceeding expected YLLs for countries in which malaria or HIV/AIDS remained the leading causes of early death. Interpretation At the global scale, age-specific mortality has steadily improved over the past 35 years; this pattern of general progress continued in the past decade. Progress has been faster in most countries than expected on the basis of development measured by the SDI. Against this background of progress, some countries have seen falls in life expectancy, and age-standardised death rates for some causes are increasing. Despite progress in reducing age-standardised death rates, population growth and ageing mean that the number of deaths from most non-communicable causes are increasing in most countries, putting increased demands on health systems. Funding Bill & Melinda Gates Foundation.
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global regional and national life expectancy all cause mortality and cause specific mortality for 249 causes of death 1980 2015 a systematic analysis for the global burden of disease study 2015
The Lancet, 2016Co-Authors: Haidong Wang, Ryan M. Barber, Fiona J Charlson, Mohsen Naghavi, Christine Allen, Zulfiqar A Bhutta, Austin Carter, Daniel C CaseyAbstract:Summary Background Improving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and trends. The Global Burden of Disease 2015 Study (GBD 2015) provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015. These results informed an in-depth investigation of observed and expected mortality patterns based on sociodemographic measures. Methods We estimated all-cause mortality by age, sex, geography, and year using an improved analytical approach originally developed for GBD 2013 and GBD 2010. Improvements included refinements to the estimation of child and adult mortality and corresponding uncertainty, parameter selection for under-5 mortality synthesis by spatiotemporal Gaussian process regression, and sibling history data processing. We also expanded the database of vital registration, survey, and census data to 14 294 geography–year datapoints. For GBD 2015, eight causes, including Ebola virus disease, were added to the previous GBD cause list for mortality. We used six modelling approaches to assess cause-specific mortality, with the Cause of Death Ensemble Model (CODEm) generating estimates for most causes. We used a series of novel analyses to systematically quantify the drivers of trends in mortality across geographies. First, we assessed observed and expected levels and trends of cause-specific mortality as they relate to the Socio-demographic Index (SDI), a summary indicator derived from measures of income per capita, educational attainment, and fertility. Second, we examined factors affecting total mortality patterns through a series of counterfactual scenarios, testing the magnitude by which population growth, population age structures, and epidemiological changes contributed to shifts in mortality. Finally, we attributed changes in life expectancy to changes in cause of death. We documented each step of the GBD 2015 estimation processes, as well as data sources, in accordance with Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). Findings Globally, life expectancy from birth increased from 61·7 years (95% uncertainty interval 61·4–61·9) in 1980 to 71·8 years (71·5–72·2) in 2015. Several countries in sub-Saharan Africa had very large gains in life expectancy from 2005 to 2015, rebounding from an era of exceedingly high loss of life due to HIV/AIDS. At the same time, many geographies saw life expectancy stagnate or decline, particularly for men and in countries with rising mortality from war or interpersonal violence. From 2005 to 2015, male life expectancy in Syria dropped by 11·3 years (3·7–17·4), to 62·6 years (56·5–70·2). Total deaths increased by 4·1% (2·6–5·6) from 2005 to 2015, rising to 55·8 million (54·9 million to 56·6 million) in 2015, but age-standardised death rates fell by 17·0% (15·8–18·1) during this time, underscoring changes in population growth and shifts in global age structures. The result was similar for non-communicable Diseases (NCDs), with total deaths from these causes increasing by 14·1% (12·6–16·0) to 39·8 million (39·2 million to 40·5 million) in 2015, whereas age-standardised rates decreased by 13·1% (11·9–14·3). Globally, this mortality pattern emerged for several NCDs, including several types of cancer, ischaemic heart disease, cirrhosis, and Alzheimer's disease and other dementias. By contrast, both total deaths and age-standardised death rates due to communicable, maternal, neonatal, and Nutritional conditions significantly declined from 2005 to 2015, gains largely attributable to decreases in mortality rates due to HIV/AIDS (42·1%, 39·1–44·6), malaria (43·1%, 34·7–51·8), neonatal preterm birth complications (29·8%, 24·8–34·9), and maternal disorders (29·1%, 19·3–37·1). Progress was slower for several causes, such as lower respiratory infections and Nutritional deficiencies, whereas deaths increased for others, including dengue and drug use disorders. Age-standardised death rates due to injuries significantly declined from 2005 to 2015, yet interpersonal violence and war claimed increasingly more lives in some regions, particularly in the Middle East. In 2015, rotaviral enteritis (rotavirus) was the leading cause of under-5 deaths due to diarrhoea (146 000 deaths, 118 000–183 000) and pneumococcal pneumonia was the leading cause of under-5 deaths due to lower respiratory infections (393 000 deaths, 228 000–532 000), although pathogen-specific mortality varied by region. Globally, the effects of population growth, ageing, and changes in age-standardised death rates substantially differed by cause. Our analyses on the expected associations between cause-specific mortality and SDI show the regular shifts in cause of death composition and population age structure with rising SDI. Country patterns of premature mortality (measured as years of life lost [YLLs]) and how they differ from the level expected on the basis of SDI alone revealed distinct but highly heterogeneous patterns by region and country or territory. Ischaemic heart disease, stroke, and diabetes were among the leading causes of YLLs in most regions, but in many cases, intraregional results sharply diverged for ratios of observed and expected YLLs based on SDI. Communicable, maternal, neonatal, and Nutritional Diseases caused the most YLLs throughout sub-Saharan Africa, with observed YLLs far exceeding expected YLLs for countries in which malaria or HIV/AIDS remained the leading causes of early death. Interpretation At the global scale, age-specific mortality has steadily improved over the past 35 years; this pattern of general progress continued in the past decade. Progress has been faster in most countries than expected on the basis of development measured by the SDI. Against this background of progress, some countries have seen falls in life expectancy, and age-standardised death rates for some causes are increasing. Despite progress in reducing age-standardised death rates, population growth and ageing mean that the number of deaths from most non-communicable causes are increasing in most countries, putting increased demands on health systems. Funding Bill & Melinda Gates Foundation.
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Global, regional, and national disability-adjusted life years (DALYs) for 306 Diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: quantifying the epidemiological transition.
Lancet, 2015Co-Authors: Christopher J L Murray, Ryan M. Barber, Jerry P. Abraham, Semaw Ferede Abera, Kyle J Foreman, Ibrahim Abubakar, Victor Aboyans, Foad Abd-allah, Ayse Abbasoglu Ozgoren, Laith J. Abu-raddadAbstract:The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6-6·6), from 65·3 years (65·0-65·6) in 1990 to 71·5 years (71·0-71·9) in 2013, HALE at birth rose by 5·4 years (4·9-5·8), from 56·9 years (54·5-59·1) to 62·3 years (59·7-64·8), total DALYs fell by 3·6% (0·3-7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6-29·1). For communicable, maternal, neonatal, and Nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non-communicable Diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable Diseases, including cardiovascular Diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious Diseases; maternal disorders; neonatal disorders; Nutritional deficiencies; other communicable, maternal, neonatal, and Nutritional Diseases; musculoskeletal disorders; and other non-communicable Diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular Diseases; chronic respiratory Diseases; cirrhosis; diabetes, urogenital, blood, and endocrine Diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition--in which increasing sociodemographic status brings structured change in disease burden--is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. Bill & Melinda Gates Foundation.
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Global, regional, and national disability-adjusted life years (DALYs) for 306 Diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: Quantifying the epidemiological transition
The Lancet, 2015Co-Authors: Christopher J L Murray, Ryan M. Barber, Ayse Abbasoglu Ozgoren, Jerry P. Abraham, Semaw Ferede Abera, Kyle J Foreman, Ibrahim Abubakar, Victor Aboyans, Foad Abd-allah, Laith J. Abu-raddadAbstract:Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. Methods We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Findings Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6-6·6), from 65·3 years (65·0-65·6) in 1990 to 71·5 years (71·0-71·9) in 2013, HALE at birth rose by 5·4 years (4·9-5·8), from 56·9 years (54·5-59·1) to 62·3 years (59·7-64·8), total DALYs fell by 3·6% (0·3-7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6-29·1). For communicable, maternal, neonatal, and Nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non-communicable Diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable Diseases, including cardiovascular Diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious Diseases; maternal disorders; neonatal disorders; Nutritional deficiencies; other communicable, maternal, neonatal, and Nutritional Diseases; musculoskeletal disorders; and other non-communicable Diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular Diseases; chronic respiratory Diseases; cirrhosis; diabetes, urogenital, blood, and endocrine Diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Interpretation Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition - in which increasing sociodemographic status brings structured change in disease burden - is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions.
Christopher J L Murray - One of the best experts on this subject based on the ideXlab platform.
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Global, regional, and national disability-adjusted life years (DALYs) for 306 Diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: quantifying the epidemiological transition.
Lancet, 2015Co-Authors: Christopher J L Murray, Ryan M. Barber, Jerry P. Abraham, Semaw Ferede Abera, Kyle J Foreman, Ibrahim Abubakar, Victor Aboyans, Foad Abd-allah, Ayse Abbasoglu Ozgoren, Laith J. Abu-raddadAbstract:The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6-6·6), from 65·3 years (65·0-65·6) in 1990 to 71·5 years (71·0-71·9) in 2013, HALE at birth rose by 5·4 years (4·9-5·8), from 56·9 years (54·5-59·1) to 62·3 years (59·7-64·8), total DALYs fell by 3·6% (0·3-7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6-29·1). For communicable, maternal, neonatal, and Nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non-communicable Diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable Diseases, including cardiovascular Diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious Diseases; maternal disorders; neonatal disorders; Nutritional deficiencies; other communicable, maternal, neonatal, and Nutritional Diseases; musculoskeletal disorders; and other non-communicable Diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular Diseases; chronic respiratory Diseases; cirrhosis; diabetes, urogenital, blood, and endocrine Diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition--in which increasing sociodemographic status brings structured change in disease burden--is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. Bill & Melinda Gates Foundation.
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Global, regional, and national disability-adjusted life years (DALYs) for 306 Diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: Quantifying the epidemiological transition
The Lancet, 2015Co-Authors: Christopher J L Murray, Ryan M. Barber, Ayse Abbasoglu Ozgoren, Jerry P. Abraham, Semaw Ferede Abera, Kyle J Foreman, Ibrahim Abubakar, Victor Aboyans, Foad Abd-allah, Laith J. Abu-raddadAbstract:Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. Methods We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Findings Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6-6·6), from 65·3 years (65·0-65·6) in 1990 to 71·5 years (71·0-71·9) in 2013, HALE at birth rose by 5·4 years (4·9-5·8), from 56·9 years (54·5-59·1) to 62·3 years (59·7-64·8), total DALYs fell by 3·6% (0·3-7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6-29·1). For communicable, maternal, neonatal, and Nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non-communicable Diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable Diseases, including cardiovascular Diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious Diseases; maternal disorders; neonatal disorders; Nutritional deficiencies; other communicable, maternal, neonatal, and Nutritional Diseases; musculoskeletal disorders; and other non-communicable Diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular Diseases; chronic respiratory Diseases; cirrhosis; diabetes, urogenital, blood, and endocrine Diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Interpretation Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition - in which increasing sociodemographic status brings structured change in disease burden - is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions.