BIOSTATISTICAL ANALYSIS OF MODIFIABLE RISK FACTORS OF MYOCARDIAL INFARCTION
Keywords:
Logistic Regression, Case-Control, Risk Factors, Myocardial Infarction, SPSSAbstract
Objective: To examine the degree of dependency of myocardial infarction (MI) on its modifiable risk factors and development
of a statistical model for prediction of the probability of MI in the presence of other diseases.
Material and Methods: This was a analytic which was conducted on a sample of 2000 subjects including 1000 cases and 1000 controls. Data was collected from various cardiac centers and hospitals from all the four provinces of Pakistan
from February 2013 to March 2014 Data includes both the genders. Logistic regression analysis is performed to measure the risk of myocardial infarction (MI). Odds ratios are calculated to see the sensitivity of all the modifiable risk factors to MI. Statistical data analysis softwares SPSS and Eviews are used for running analysis.
Results: The gender wise percentages of subjects are 55.8% females and 44.2% males in this study. All the modifiable risk factors are playing positive role in terms of association with the dependent variable MI. Hypertension is found to be the most significant risk of MI with Odds Ratio (OR) of 10.20 followed by diabetes mellitus with OR of 8.37 and obesity with OR of 7.72.
Conclusion: In this study the modifiable risk factors obesity, diabetes mellitus, hypertension, easily angered, cholesterol level, alcohol, eating habit, income class and smoking are proved statistically significant in the development of disease MI.
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