As of 2030, based on predictive modeling …. 70,193,414 Americans will be on statin in the US.
After analyzing final correlations, the percentage of people taking statin each year was significantly higher than the percentage of people with heart disease each year. Through the 10 year time span, the percentage increase of people on statin was 24.9% while the people with heart disease was 11.3%.
Although both rates are increasing at, people are taking a proactive measure to combat heart disease by using statin to prevent heart attacks and strokes. A possible reason for these results is that recently, people are more informed on the risks of getting heart disease which could potentially lead to an early death. To prevent it, people are taking charge by using statin.
Furthermore, heart disease trends are at an upward slope amongst all age groups 40 and over. This is due to various risk factors such as high cholesterol, high blood pressure, unhealthy eating habits, etc.
A possible error to account for, however, is that the census does not include deaths or immigration therefore the numbers may not be as accurate. Also, predicting 10 years out can result in skewed data as it’s hard to predict uncontrollable events that can skew the population. For example, the pandemic caused a lot of deaths that the census data did not include. It is also important to include that while predictive data modeling is very useful, it can also be inaccurate because of the reliance on past data which can have some deficiencies. Another issue to note is that recent health trends could be encouraging people to maintain a healthier lifestyle by eating cleaner, working out, and taking care of their bodies. With the trends getting progressively popular, statin usage and heart disease may decrease.
As mentioned in a previous blog post, there were two widely different purposes for creating this project. The same goes for the applications this project could have. In a more business and economical approach, the results of my project could have applications in a multi-billion dollar industry. Pharmaceutical companies are always looking for new ways to meet the public need, and using predictive modeling can help them figure out what medications they need to produce to keep up with the demand.
In everyday situations, predictive modeling can be applied to a broad range of everyday situations such as predicting the housing market, stock market trends, college admission rates, and the inventory needs of any product. It can also help companies design marketing strategies in what their consumers are interested in. Predictive modeling can also save companies a lot of money and time. By being able to forecast estimated outcomes, companies don’t have to risk their money.
In a public health / future outlook perspective, as our society gets increasingly reliant on statin medications and witnessing the steady rise of the rate of people contracting a heart disease, it is clear that the public become aware of the numbers and stats on what’s to come in the future. Hopefully, my project can raise awareness regarding our growing dependence on statin and encourage people to go a different route. There’s no doubt that statin plays a crucial and imperative role in managing many different cases/conditions, but it is also important to show the significance of eating healthier and working out in order to maintain a healthier and more balanced lifestyle. My aim is to encourage individuals to find what works for their body in terms of keeping it happy and healthy. In conclusion, my project strives to empower individuals to take charge of not only their cardiovascular health, but their overall health and ultimately make it to where they prioritize prevention over dependence on medication.
Science Fair Success and Results!
I’m thrilled to share that I placed first in my mathematics category, earning me a spot at the state science fair! Additionally, I was honored to receive the prestigious Yale Mathematics Engineering Award, the Primary Care and Associates Award, the Bio Regeneron Award, and the Washington County Medical Award. It’s been an incredible journey so far and I can’t wait for State!





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