Acute myocardial infarction and type two diabetes are within the top seven causes of death in the United States and their impact on society is costly. Although there are many studies conducted about these diseases, some of the research is aged and requires more recent datasets. The objective of this research is to revel trends in these diseases, as well as in their comorbidity, relating to age, gender, and race. To conduct this research, data has been collected from the CDC Wonder dataset using their comorbidity database. This comorbidity data uses USA death certificates from 1999-2017 to retrieve the medical information from each state. The data pulled was then analyzed using two SPSS tests, ANOVA and independent T test, to discern significance and visualize trends. Data from the two ANOVA tests and one independent T test involving type two diabetes and acute myocardial infarction shows statistically significant differences regarding mortality involving those age 65+ as well as persons identifying as White or Black/African American. Using the same tests to analyze type two diabetes reveals significant differences regarding mortality involving those age 65+ or identifying as Asian/Pacific Islander. Finally, results from the two ANOVA tests and the independent T test analyzing the co-mortality of acute myocardial infarction and type two diabetes showed a significant difference in mortality for those age 65+ or identifying as Asian/Pacific Islander.
Borchers, S. (2020). Age, Gender, and Racial Differences between Acute Myocardial Infarction, Type 2 Diabetes, and their Comortality. Wright State University. Dayton, Ohio.