Risk factors of Hypertension: Logistic regression analysis

Author(s)

Abstract
Hypertension affects one billion people and it is estimated that high blood pressure kills nine million people worldwide. Prevalence of high blood pressure in adult aged 25 years and above in Nepal is 36% male and 26.2% female. The objective of the study is to find out the risk factors of hypertension by applying logistic regression analysis. A descriptive cross-sectional study was conducted in Medical OPD of College of Medical Sciences, Bharatpur in February 2014 and random sampling technique was used to select hypertensive patients. 94.2% patients were hypertensive by both systolic and diastolic blood pressure. The maximum patients (33.3% in diastolic and 39.1% in systolic) were in stage I hypertension. From logistic regression analysis, the variables age, smoking, alcohol consumption and family history of hypertension were found to be significant at 5 percent level of significance. Lifestyle modification reduces blood pressure which prevents or delay the incidence of hypertension. Hence hypertension can be controlled and prevented by modifying the lifestyle. The present study found the significant risk factors of hypertension were age, obesity, smoking, consumption of alcohol and family history of hypertension. People should advice to avoid risk factors of hypertension like smoking, consumption of alcohol and physical inactivity by health promotion program.

Keywords
Alcohol, Body mass index, Family history, Logistic regression analysis and Smoking.

Cite this paper
Manandhar N., Raman T.P., Risk factors of Hypertension: Logistic regression analysis , SCIREA Journal of Health. Volume 1, Issue 1, October 2016 | PP. 32-40.

References