Modeling the Risk factors of hypertension in 35-65 years old individuals using logistic regression

Authors
Razieh Yousefi 1
Azadeh Saki 2
Habibollah Esmaily 2
Majid Ghayour Mobarhan 3
Maryam Tayefi 3
1 Department of Epidemiology & Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
2 Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
3 Metabolic syndrome research center, Mashhad University of Medical Sciences, Mashhad, Iran
Abstract
Introduction

Hypertension is a common cause of cardiovascular disease in the world. Therefore identification of risk factors for hypertension is essential to carry out preventive masseurs. So this study was done with the aim of using logistic regression model to determine and assess the risk factors of hypertension, in Mashhad.

Materials & Methods

This Cross sectional study was carried out using the records of individuals between 35-65 years old from cross sectional phase of MASHHAD study. Age, gender, BMI, Smoking status, Family history of hypertension, Triglycerides (TG), HDL entered the model.

Results

The participants were 40% men and 60% female. The multivariate logistic regression model showed age (OR=1.080, P =0.0001), Gender (OR=1.146 , P =0.0001), Smoking(OR=1.536, P=0.0001), Fat (OR=1.933, P=0.0001), TG(OR=1.004, P=0.0001), Family history(OR=1.296, P=0.0001) to be significantly associated with increase in severity of hypertension in 0.01 significance level.

Conclusion

According to the logistic regression method used in this study, smoking, obesity, high triglycerides and family history of hypertension, are factors associated with hypertension. Therefore, change in lifestyle plays an important role in preventing hypertension and thus cardiovascular disease.
Keywords
Hypertension
Cardiovascular Diseases
Regression Analysis
Logistic Models
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Journal of Netshabur University of Medical Sciences
Volume 7, Issue 2 - Serial Number 23
Spring 2019
Pages 110-119