Showing papers by "Kalkidan Hassen Abate published in 2018"
Gregory A. Roth1, Gregory A. Roth2, Degu Abate3, Kalkidan Hassen Abate4 +1025 more•Institutions (333)
TL;DR: Non-communicable diseases comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5–74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional causes accounted for 18·6% (17·9–19·6), and injuries 8·0% (7·7–8·2).
5,211 citations
Jeffrey D. Stanaway1, Ashkan Afshin1, Emmanuela Gakidou1, Stephen S Lim1 +1050 more•Institutions (346)
TL;DR: This study estimated levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs) by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017 and explored the relationship between development and risk exposure.
2,910 citations
TL;DR: It is found that the risk of all-cause mortality, and of cancers specifically, rises with increasing levels of consumption, and the level of consumption that minimises health loss is zero.
1,831 citations
01 Oct 2018
810 citations
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 as mentioned in this paper was the most recent iteration of the GBD, which used all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups.
638 citations
TL;DR: In 2016, the global lifetime risk of stroke from the age of 25 years onward was approximately 25% among both men and women, and there was geographic variation in the lifetime risk, with the highest risks in East Asia, Central Europe, and Eastern Europe.
Abstract: BACKGROUND The lifetime risk of stroke has been calculated in a limited number of selected populations. We sought to estimate the lifetime risk of stroke at the regional, country, and global level using data from a comprehensive study of the prevalence of major diseases. METHODS We used the Global Burden of Disease (GBD) Study 2016 estimates of stroke incidence and the competing risks of death from any cause other than stroke to calculate the cumulative lifetime risks of first stroke, ischemic stroke, or hemorrhagic stroke among adults 25 years of age or older. Estimates of the lifetime risks in the years 1990 and 2016 were compared. Countries were categorized into quintiles of the sociodemographic index (SDI) used in the GBD Study, and the risks were compared across quintiles. Comparisons were made with the use of point estimates and uncertainty intervals representing the 2.5th and 97.5th percentiles around the estimate. RESULTS The estimated global lifetime risk of stroke from the age of 25 years onward was 24.9% (95% uncertainty interval, 23.5 to 26.2); the risk among men was 24.7% (95% uncertainty interval, 23.3 to 26.0), and the risk among women was 25.1% (95% uncertainty interval, 23.7 to 26.5). The risk of ischemic stroke was 18.3%, and the risk of hemorrhagic stroke was 8.2%. In high-SDI, high-middle-SDI, and low- SDI countries, the estimated lifetime risk of stroke was 23.5%, 31.1% (highest risk), and 13.2% (lowest risk), respectively; the 95% uncertainty intervals did not overlap between these categories. The highest estimated lifetime risks of stroke according to GBD region were in East Asia (38.8%), Central Europe (31.7%), and Eastern Europe (31.6%), and the lowest risk was in eastern sub-Saharan Africa (11.8%). The mean global lifetime risk of stroke increased from 22.8% in 1990 to 24.9% in 2016, a relative increase of 8.9% (95% uncertainty interval, 6.2 to 11.5); the competing risk of death from any cause other than stroke was considered in this calculation. CONCLUSIONS In 2016, the global lifetime risk of stroke from the age of 25 years onward was approximately 25% among both men and women. There was geographic variation in the lifetime risk of stroke, with the highest risks in East Asia, Central Europe, and Eastern Europe.
556 citations
Christopher J L Murray1, Charlton S K H Callender1, Xie Rachel Kulikoff1, Vinay Srinivasan1 +1092 more•Institutions (424)
TL;DR: This work estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods and used the cohort-component method of population projection, with inputs of fertility, mortality, population, and migration data.
287 citations
Institute for Health Metrics and Evaluation1, University of Washington2, Jimma University3, Cairo University4, University of Western Australia5, University of Cartagena6, Karolinska Institutet7, Mekelle University8, Public Health Foundation of India9, University of Gondar10, University of Belgrade11, Harvard University12, Jazan University13, University of Oxford14, University of São Paulo15, University of Valencia16, Kazakh National Medical University17, University of Peradeniya18, International Institute for Population Sciences19, University of the Philippines Manila20, University of Louisville21, Auckland University of Technology22, Catholic University of Portugal23, Wageningen University and Research Centre24, University of Massachusetts Boston25, Mizan–Tepi University26, Debre markos University27, Tehran University of Medical Sciences28, New York Medical College29, Islamic University30, Ball State University31, Northeastern University32, Brown University33, Uppsala University34, University of Haifa35, Mansoura University36, Chinese Academy of Sciences37, Martin Luther University of Halle-Wittenberg38, United Nations Population Fund39, National Institutes of Health40, University of Melbourne41, Kyrgyz State Medical Academy42, Ahmadu Bello University43, Columbia University44, University of Ibadan45, University of British Columbia46, BRAC47, University of Sydney48, University of Maragheh49, University of KwaZulu-Natal50, Universidade Federal de Santa Catarina51, University of Western Ontario52, Addis Ababa University53, Post Graduate Institute of Medical Education and Research54, Jagiellonian University Medical College55, University of Copenhagen56, Cleveland Clinic57, Hospital Sant Joan de Déu Barcelona58, National Research University – Higher School of Economics59, Norwegian Institute of Public Health60, Royal Children's Hospital61, King's College London62, Nanjing University63, University of Mississippi Medical Center64, University of Hong Kong65, Kyoto University66, Jackson State University67, Wuhan University68
TL;DR: Large disparities in total burden of CVD persist between US states despite marked improvements in CVD burden, and increases in risk-deleted CVD DALY rates between 2006 and 2016 in 16 states suggest additional unmeasured risks beyond these traditional factors.
Abstract: Importance Cardiovascular disease (CVD) is the leading cause of death in the United States, but regional variation within the United States is large. Comparable and consistent state-level measures of total CVD burden and risk factors have not been produced previously. Objective To quantify and describe levels and trends of lost health due to CVD within the United States from 1990 to 2016 as well as risk factors driving these changes. Design, Setting, and Participants Using the Global Burden of Disease methodology, cardiovascular disease mortality, nonfatal health outcomes, and associated risk factors were analyzed by age group, sex, and year from 1990 to 2016 for all residents in the United States using standardized approaches for data processing and statistical modeling. Burden of disease was estimated for 10 groupings of CVD, and comparative risk analysis was performed. Data were analyzed from August 2016 to July 2017. Exposures Residing in the United States. Main Outcomes and Measures Cardiovascular disease disability-adjusted life-years (DALYs). Results Between 1990 and 2016, age-standardized CVD DALYs for all states decreased. Several states had large rises in their relative rank ordering for total CVD DALYs among states, including Arkansas, Oklahoma, Alabama, Kentucky, Missouri, Indiana, Kansas, Alaska, and Iowa. The rate of decline varied widely across states, and CVD burden increased for a small number of states in the most recent years. Cardiovascular disease DALYs remained twice as large among men compared with women. Ischemic heart disease was the leading cause of CVD DALYs in all states, but the second most common varied by state. Trends were driven by 12 groups of risk factors, with the largest attributable CVD burden due to dietary risk exposures followed by high systolic blood pressure, high body mass index, high total cholesterol level, high fasting plasma glucose level, tobacco smoking, and low levels of physical activity. Increases in risk-deleted CVD DALY rates between 2006 and 2016 in 16 states suggest additional unmeasured risks beyond these traditional factors. Conclusions and Relevance Large disparities in total burden of CVD persist between US states despite marked improvements in CVD burden. Differences in CVD burden are largely attributable to modifiable risk exposures.
261 citations
University of Washington1, Haramaya University2, Jimma University3, Sapienza University of Rome4, McGill University5, Tehran University of Medical Sciences6, Cairo University7, Arak University of Medical Sciences8, Manonmaniam Sundaranar University9, College of Health Sciences, Bahrain10, Debre markos University11, University of Hohenheim12, Wollega University13, Cornell University14, Dongguk University15, Kathmandu University16, South African Medical Research Council17, University of South Florida18, University of Ibadan19, Obafemi Awolowo University20, Cardiff University21, McMaster University22, Baylor College of Medicine23, Central Food Technological Research Institute24, Public Health Foundation of India25, Higher National Veterinary School26, University of Toronto27, United States Department of Veterans Affairs28, Washington University in St. Louis29, University of the Witwatersrand30, Aster31, Taipei Medical University32, National Taiwan University33
TL;DR: Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017 is presented.
231 citations
Journal Article•
46 citations
01 Jan 2018
TL;DR: Maternal MUAC, parity and wealth index were found to have a positive association with birth weight, and intervention directed on nutrition of pregnant mothers through nutrition counseling should be the major priority in addition to economic measure.
Abstract: Maternal nutrition plays a major role in influencing fetal growth and birth outcomes. It is a modifiable risk factor which drags a significant public health consideration to avert adverse birth outcomes, specially, in low and middle income countries. Suboptimal dietary and nutritional characteristics and low birth weight are prevalent in the present study setting. This study was conducted to assess the association of maternal dietary and nutritional characteristics and newborn birth weight among pregnant mother who delivered in health institutions. Institution based cross sectional study was conducted among 541 pregnant mothers who delivered in Health Institutions of Jimma Town from March 1st, 2017 to April 30th, 2017. Data were entered into EPI data version 3.1 and analyzed using SPSS for windows, version 20.0; SPSS. Bivariate analysis was used to assess the association between birth weight and list of independent variables and to test significance of the association at p-value <0.25 for multivariable linear regression. Multivariable linear regression model was used to recognize the important predictors by controlling for possible confounding variables and statistical significance was measured at p-value <0.05. Majority of newborns had normal birth weight (91.0%). The mean birth weight of the newborns was 3224.6 ± 438.5 grams while low birth weight was 2%. In Multivariable linear regression analyses, birth weight was found to have increased by 13.5 grams (β=13.5, P=0.04), for every centimeter increment in maternal mid-upper arm circumference (MUAC). Similarly, with each increase in parity of the mother an increase in birth weight increased by 96.81 grams (β=96.81, P=0.01) was observed. Wealth index was also found to have a positive association with birth weight (β=49.04, P=0.01). Maternal MUAC, parity and wealth index were found to have a positive association with birth weight. Intervention directed on nutrition of pregnant mothers through nutrition counseling should be the major priority in addition to economic measure.
Key words: Newborn birth weight, nutritional characteristics, mid-upper arm circumference.