World Health Organization assessment: The global burden of disease in Russia and countries of the world

Author(s):  
М.С. Брылёва ◽  
Author(s):  
Joia S. Mukherjee

This chapter defines terms used to describe the health of populations, such as incidence, prevalence, morbidity, and mortality. It introduces the concept of the burden of disease: that is, the quantity and impact of diseases and conditions that affect the health of populations. The Global Burden of Disease project, first launched in 1990 by the World Health Organization (WHO) seeks to measure disease burden on a regular basis. This chapter also examines the epidemiological transition, a concept that describes changes in causes of morbidity and mortality associated with economic development. The limitations of this concept and the need to address the entirety of the disease burden and achieve Universal Health Coverage are also discussed.


2020 ◽  
Vol 41 (2_suppl) ◽  
pp. 7S-30S
Author(s):  
Shiriki Kumanyika ◽  
Ashkan Afshin ◽  
Mary Arimond ◽  
Mark Lawrence ◽  
Sarah A. McNaughton ◽  
...  

Background: Healthy diets promote optimal growth and development and prevent malnutrition in all its forms, including undernutrition, obesity, and diet-related noncommunicable diseases (NCDs). Objective: This background paper for the International Expert Consultation on Sustainable Healthy Diets characterizes healthy diets and their implications for food system sustainability. Methods: Three complementary approaches to defining healthy diets are compared: World Health Organization (WHO) guidelines or recommendations developed between 1996 and 2019; 2017 Global Burden of Disease (GBD) risk factor study estimates of diet-related risk–outcome associations; and analyses associating indices of whole dietary patterns with health outcomes in population studies and clinical trials. Results: World Health Organization dietary recommendations are global reference points for preventing undernutrition and reducing NCD risks; they emphasize increasing intakes of fruits, vegetables (excepting starchy root vegetables), legumes, nuts, and whole grains; limiting energy intake from free sugars and total fats; consuming unsaturated rather than saturated or trans fats; and limiting salt intake. Global Burden of Disease findings align well with WHO recommendations but include some additional risk factors such as high consumption of processed meat; this approach quantifies contributions of diet-related risks to the NCD burden. Evidence on whole dietary patterns supports WHO and GBD findings and raises concerns about potential adverse health effects of foods with high levels of industrial processing. Conclusions: Implied shifts toward plant foods and away from animal foods (excepting fish and seafood), and for changes in food production systems have direct relevance to the sustainability agenda.


2013 ◽  
Vol 2 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Jürgen Rehm ◽  
Guilherme Borges ◽  
Gerhard Gmel ◽  
Kathryn Graham ◽  
Bridget Grant ◽  
...  

Rehm, J., Borges, G., Gmel, G., Graham, K., Grant, B., Parry, C., Poznyak, V. & Room R. (2013). The comparative risk assessment for alcohol as part of the Global Burden of Disease 2010 study: What changed from the last study? International Journal of Alcohol and Drug Research, 2(1), 1-5.  doi: 10.7895/ijadr.v2i1.132 (http://dx.doi.org/10.7895/ijadr.v2i1.132)In December 2012, the new results of the Comparative Risk Assessment (CRA) for alcohol within the Global Burden of Disease and Injury (GBD) Study 2010 were presented at a joint meeting of the GBD Group and the journal Lancet at the Royal Society in London (Lim et al., 2012). At first glance, there do not appear to be many changes to alcohol consumption as a risk factor for death and disability: it is identified as the third most important risk factor, as it was in the last CRA (World Health Organization, 2009). The burden of disease attributable to alcohol had increased, compared to the 2004 estimate (Rehm, Mathers et al., 2009), but this could be due to an increase in global population, or to variations in the methodologies behind the 2004 and 2010 estimates.


2005 ◽  
Vol 3 (2) ◽  
pp. 101-107 ◽  
Author(s):  
Lorna Fewtrell ◽  
Ron Fuge ◽  
David Kay

The global burden of disease due to skin lesions caused by arsenic in drinking water was estimated by combining country-based exposure data with selected exposure–response relationships derived from the literature. Populations were considered to be exposed to elevated arsenic levels if their drinking water contained arsenic concentrations of 50 μg l−1 or greater. Elevated arsenic concentrations in drinking water result in a significant global burden of disease, even when confining the health outcome to skin lesions. The burden of disease was particularly marked in the World Health Organization (WHO) comparative risk assessment (CRA) ‘Sear D' region, which includes Bangladesh, India and Nepal. Unsurprisingly, Bangladesh was the worst affected country with 143 disability adjusted life years (DALYs) per 1,000 population. Although this initial estimate is subject to a large degree of uncertainty, it does represent an important first step in allowing the comparison of the problem relating to elevated arsenic in drinking water to other environmental health outcomes.


2020 ◽  
Vol 4 ◽  
pp. 35
Author(s):  
Marlee Tichenor ◽  
Devi Sridhar

The global burden of disease study—which has been affiliated with the World Bank and the World Health Organisation (WHO) and is now housed in the Institute for Health Metrics and Evaluation (IHME)—has become a very important tool to global health governance since it was first published in the 1993 World Development Report. In this article, based on literature review of primary and secondary sources as well as field notes from public events, we present first a summary of the origins and evolution of the GBD over the past 25 years. We then analyse two illustrative examples of estimates and the ways in which they gloss over the assumptions and knowledge gaps in their production, highlighting the importance of historical context by country and by disease in the quality of health data. Finally, we delve into the question of the end users of these estimates and the tensions that lie at the heart of producing estimates of local, national, and global burdens of disease. These tensions bring to light the different institutional ethics and motivations of IHME, WHO, and the World Bank, and they draw our attention to the importance of estimate methodologies in representing problems and their solutions in global health. With the rise in the investment in and the power of global health estimates, the question of representing global health problems becomes ever more entangled in decisions made about how to adjust reported numbers and to evolving statistical science. Ultimately, more work needs to be done to create evidence that is relevant and meaningful on country and district levels, which means shifting resources and support for quantitative—and qualitative—data production, analysis, and synthesis to countries that are the targeted beneficiaries of such global health estimates.


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