Global Burden of Disease
The Global Burden of Disease (GBD) Study was pioneered by the Institute for Health Metrics and Evaluation to give data about health trends worldwide (Dunachie et al., 2020). This data includes information about mortality, morbidity, risk factors, and overall health status, and thus the GBD Study is able to help people better understand the relationships between poverty, social inequality, and health.
Poverty and social inequality directly affect health in multiple ways. They can result in limited access to clean water, nutritious food, adequate housing, and healthcare services, which are critical determinants of health. According to GBD data, lower-income countries generally have higher disease burden, especially with regards to communicable diseases like tuberculosis, malaria, and HIV/AIDS (Strong et al., 2005).
Social inequality also plays a key role in health disparities. Discrimination based on race, gender, sexual orientation, or caste can create barriers to healthcare access and contribute to stress and other mental health issues. For example, in the United States, African Americans and other racial and ethnic minorities often experience lower quality healthcare compared to their white counterparts, even when insurance status, income, age, and severity of conditions are comparable. They are also disproportionately affected by certain health conditions, such as hypertension and diabetes, in part due to social and economic disadvantages stemming from systemic racism.
Education and health...
GBD data can be a valuable resource in understanding these complex relationships and informing policy decisions. It helps to give people more comprehensive, reliable information about health trends and risk factors. Thus, it can help policymakers, researchers, and advocates to identify priorities, develop strategies, and measure progress in the ongoing effort to…
References
Dunachie, S. J., Day, N. P., & Dolecek, C. (2020). The challenges of estimating the humanglobal burden of disease of antimicrobial resistant bacteria. Current Opinion in Microbiology, 57, 95-101.
Friel, S., Hattersley, L., Snowdon, W., Thow, A. M., Lobstein, T., Sanders, D., ... &INFORMAS. (2013). Monitoring the impacts of trade agreements on food environments. obesity reviews, 14, 120-134.
Strong, K., Mathers, C., Leeder, S., & Beaglehole, R. (2005). Preventing chronic diseases: howmany lives can we save?. The Lancet, 366(9496), 1578-1582.
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