The heart is a vital organ that controls blood flow to the entire body. Without the heart muscles, organs and all other body parts would die. The life choices a person makes can affect the health of their heart. For example, smoking, bad diet, sedentary lifestyle, and other choices can damage the heart in the long run. As a medical student this is an important topic of interest because it is found that, "Heart disease is the leading cause of death in the United States and the cost to combat it is only rising" (Khan, Stewart, Davis, Harvey, Leistikow, 2015). Heart disease is a problem that must be addressed and future studies must be done to better understand the disease. Coronary heart disease is the focus of this study as it directly effects
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In order to adequately compare each factor a two-way anova would be a good analyzing technique. A two way anova is used for finding a F-values and p-values of a data set. This can compare one group difference or several group differences. A p-value of less than 0.05 will indicate significant difference between groups. The large data set will require software analysis because we are finding the significance of each group as well as the smoker, non-smoker, and past smoker with and without the effects of diet. To understand how much these factors effect cholesterol level every group and factor must be analyzed. From this the relative risk factor of smoking as well as the added effects of diet can be …show more content…
By implementing statistical analysis and research design this study was aimed to test blood cholesterol levels in order to better understand the risk factors and long term effects of smoking on heart disease. This is an important project because of how much damage heart disease is responsible for, while this project is far from perfect it was created to produce results quickly. Other studies have compared medical files to death records to get an idea of how many deaths heart disease is responsible for but these experiments take several years and offer no treatment to the subjects. This study was designed because as a medical student, I believe data must be collected but not at the expense of the subjects. The future of medical research is bright and this disease and many others will be cured once it is better
In order to adequately compare each factor a two-way anova would be a good analyzing technique. A two way anova is used for finding a F-values and p-values of a data set. This can compare one group difference or several group differences. A p-value of less than 0.05 will indicate significant difference between groups. The large data set will require software analysis because we are finding the significance of each group as well as the smoker, non-smoker, and past smoker with and without the effects of diet. To understand how much these factors effect cholesterol level every group and factor must be analyzed. From this the relative risk factor of smoking as well as the added effects of diet can be …show more content…
By implementing statistical analysis and research design this study was aimed to test blood cholesterol levels in order to better understand the risk factors and long term effects of smoking on heart disease. This is an important project because of how much damage heart disease is responsible for, while this project is far from perfect it was created to produce results quickly. Other studies have compared medical files to death records to get an idea of how many deaths heart disease is responsible for but these experiments take several years and offer no treatment to the subjects. This study was designed because as a medical student, I believe data must be collected but not at the expense of the subjects. The future of medical research is bright and this disease and many others will be cured once it is better