IHME's research undergoes a rigorous internal and external review process prior to publication in top academic journals. The research publications listed below stem from IHME's core research produced by IHME researchers, research teams, and collaborators.
China has seen striking declines in child mortality and an increase in life expectancy due to rapid demographic and epidemiological changes in the past few decades, yet dietary risks, tobacco use, and the rise of non-communicable diseases such as cancer pose risks to continued improvements in health.
The United Kingdom has provided universal health care and public health programming for more than six decades. To guide future policymaking in the UK, it is important to analyze trends in population health over time. Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2010 (GBD 2010), researchers examined three critical questions: what are the patterns of health loss in the UK, what are the leading preventable risks that explain some of those patterns, and how do UK outcomes compare to a set of comparable countries in the European Union (EU) and elsewhere in 1990 and 2010.
The goal of this research was to estimate deaths and years of lives lost (YLLs) by age, sex, and region for 235 causes at two points in time – 1990 and 2010. This information can be used to better inform global efforts to assess whether society is or is not making progress in reducing the burden of premature – and especially avoidable – mortality.
In this paper, results on years lost due to premature mortality (YLLs) and years lived with disability (YLDs) are combined to examine the overall burden of disease across 291 diseases and injuries by country for the period 1990 to 2010.
Measurement of the global burden of disease using disability‐adjusted life years (DALYs) requires disability weights that measure health losses for all non‐fatal consequences of disease and injury. There has been vigorous debate over the definition and measurement of these weights. The primary objective was a comprehensive re‐estimation of disability weights through a large‐scale, population‐based, empirical investigation in which judgments about health loss associated with many causes were elicited from the general public in diverse communities. This is a marked improvement over previous efforts, which relied solely upon judgments from a small group of health professionals.
Healthy life expectancy, or HALE, is a measure of average population health summarizing both mortality and non‐fatal outcomes. HALE is used for comparisons of health across countries or for measuring change over time. These comparisons can shed light on key questions about how morbidity worsens or improves as mortality declines.
The number of deaths in each age and sex group for countries, regions, and the world is a critical starting point for assessing the Global Burden of Disease (GBD). A careful estimation of deaths and mortality rates by age and sex is essential to assess progress, improve health, and extend the lives of people around the world. Information about mortality rates and causes of death at different ages, especially premature mortality, is also an important impetus for public policy action.
Individuals, households, and health systems devote enormous resources to curing, preventing, and eliminating non‐fatal, disabling health conditions. Therefore, it is essential that some form of measuring and tracking non‐fatal burdens be available for policy and planning purposes.
The goal of this study is to calculate what proportion of deaths or disability‐adjusted life years (DALYs) can be attributed to specific risk factors, holding other independent factors unchanged. Quantification of the disease burden caused by different risks informs prevention by identifying which risks make the greatest contribution to poor health. No complete revision of global burden of disease caused by risk factors has been done since a comparative risk assessment in 2000, and no previous analysis has assessed changes in burden attributable to risk factors over time.
While many Americans reported losing weight between 2008 and 2009, the actual prevalence of obesity in the United States increased over this time period, according to researchers at IHME. Results from the study “In denial: misperceptions of weight change among adults in the United States” show that public health officials should interpret self-reported weight losses with caution.