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Original Research

RMJ. 2018; 43(3): 385-387


Statistical modeling in cardiovascular disease based on cross sectional survey from District Swat, Pakistan

Naseem Asghar, Sohail Akhtar, Nasir Shaheen.


Abstract

Objective: To identify the most significant risk factors of cardiovascular disease (CVD) in district Swat.
Methodology: This cross sectional study was carried out in District Swat. A sample of 600 households from diverse union councils was included through probability sampling techniques to establish significant risk factors of cardiovascular disease. Logistic regression was applied using SPSS to examine the data and to choice the best fitted model.
Results: Among 600 interviewed individuals, 210 (35%) were CVD positive and 390 (65%) were CVD negative. There were 334 (56.66%) males while 266 (44.33%) were females. Of 266 females, only 93 (34.96%) had CVD. Out of 334 males, 117 (35.02%) had CVD. The results from binomial logistic regression showed that age, marital status, stress, and blood sugar were the most significant risk factors of CVD.
Conclusion: This study showed that blood sugar, stress, marital status and age are highly significant factors associated with the risk of CVD.

Key words: Risk factors, cardiovascular disease, logistic regression






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