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follow all directions 1 Article Review: Biostatistics Final Project Precious Teasley IHP-525-Q3469

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Article Review: Biostatistics Final Project

Precious Teasley

IHP-525-Q3469 Biostatistics 24TW3

Southern New Hampshire University

Professor Cecilia Younger

Background

My research question evaluated affect the survival rates for patients with Myocardial Infarction (MI). Age is a vital predictor for diseases because, with old age, the body’s immunity weakens. Consequently, the survival rate for patients with heart disease vary in younger and older cohorts because the body organs become weaker. Young patients with MI will likely have a higher survival rate because their body organs are still strong.

Biostatics in this research can be used to prove the effect of aging on survival rates for patients with MI. In doing this research, we will group the patients in different groups based on their age. Once the patients are placed in groups, the next step will involve monitoring them to determine health outcomes. We can measure death rates in the young categories and the older adult categories. With the mortality rates collected from both group, we could then calculate survival rates and do comparisons. These comparisons could provide statistics on the survival rates among young and older adults.

Article Selection

I picked this article because, besides age, there are many other variables that can affect survival rates in patients with MI. I have a middle-age aunt diagnosed with heart attack. The doctors advised her that her condition worsened because she was experiencing anxiety episodes. The article offers more insights into other specific factors that complicate heart conditions such as lack of adequate resources and anxiety. Therefore, young and middle-aged patients with heart diseases could still report low survival rates if exposed to mental diseases and lack resources to support their recovery.

Reference

Doering, L. V., McKinley, S., Riegel, B., Moser, D. K., Meischke, H., Pelter, M. M., & Dracup, K. (2011). Gender-specific characteristics of individuals with depressive symptoms and coronary heart disease. 
Heart & Lung
40(3), e4-e14. 

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