The Research of Influence Factors that lead to Heart Disease
DOI:
https://doi.org/10.54097/grvgtm49Keywords:
Heart disease; multiple factors; probit regression model.Abstract
Heart disease is one of the common diseases, and it is the disease with the highest mortality. Although there are many studies in the field of heart disease, including genetic aspects, environmental aspects and so on, most of them are single-factor studies. Therefore, this paper will establish a Probit regression model, based on 11 factors that may induce heart disease, and make a statistical analysis on the health status of 400,000 people collected in 2020. It is concluded that smoking, stroke, different walking, gender, age category, diabetes, Asthma, Kidney disease and skin cancer will have a significant positive impact on Heart Disease, and Physical Activity will have a significant negative impact on Heart Disease. However, Alcohol Drinking does not affect the Heart Disease. The results of this paper can provide a more comprehensive factor analysis direction for preventing heart disease, to do a good job of prevention, reduce the prevalence of diseases and reduce mortality.
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