High Fasting Glucose in Europe & Central Asia

High Fasting Glucose is a modifiable risk factor tracked by the IHME Global Burden of Disease Study. The attributable deaths shown here represent the estimated number of deaths in Europe & Central Asia that could be prevented if exposure to this risk factor were eliminated or reduced to optimal levels. Risk factor attribution uses comparative risk assessment methodology, and a single death may be partially attributed to multiple risk factors.

Europe and Central Asia benefit from relatively strong health systems and high physician density, but face ageing populations, rising non-communicable disease burdens, and persistent East-West health outcome gradients. This page explores high fasting glucose mortality patterns across Europe & Central Asia. The data covers death rates per 100,000 population for countries within the region, enabling comparison of national-level outcomes and identification of countries with particularly high or low burdens. Use the interactive charts and tables above to examine trends over time and drill down into individual country profiles.

The mortality estimates presented on this page are derived from the Global Burden of Disease (GBD) study, produced by the Institute for Health Metrics and Evaluation (IHME). The GBD synthesizes data from vital registration systems, verbal autopsies, cancer registries, and surveillance networks across more than 200 countries and territories. Death rates are expressed per 100,000 population and are age-standardized, which adjusts for differences in age structure between populations so that comparisons across countries and over time reflect genuine differences in mortality risk rather than demographic composition.

The dataset typically covers the period from 1990 to 2023, although availability varies by country and cause. When interpreting the figures for high fasting glucose in Europe & Central Asia, note that higher age-standardized rates indicate a greater mortality burden independent of whether a country's population is older or younger. Trends over time reveal whether public health interventions, economic development, and health system improvements have reduced or increased the toll of this condition in the region.

Risk factor attribution in the GBD framework uses counterfactual analysis and population attributable fractions (PAFs). A PAF estimates the proportion of deaths that would not have occurred if exposure to a given risk factor had been at its theoretical minimum level. Because multiple risk factors can contribute to a single death, attributable fractions across all risk factors may sum to more than 100%. The figures for high fasting glucose in Europe & Central Asia reflect the estimated mortality burden that could be averted through complete elimination of this risk exposure.

Global High Fasting Glucose All Europe & Central Asia Data All Risk Factors Compare Countries High Fasting Glucose in East Asia & Pacific High Fasting Glucose in Latin America & Caribbean High Fasting Glucose in Middle East, North Africa, Afghanistan & Pakistan