Journal of
Public Health and Epidemiology

  • Abbreviation: J. Public Health Epidemiol.
  • Language: English
  • ISSN: 2141-2316
  • DOI: 10.5897/JPHE
  • Start Year: 2009
  • Published Articles: 653

Article in Press

Ordinal logistic regression analysis of correlates of hypertension severity: by using the data of Gondar university referral hospital, North West Ethiopia.

  •  Received: 28 January 2021
  •  Accepted: 28 January 2021
Background:-Hypertension is the force of blood pushing up against the walls of blood vessels and it is defined as a systolic blood pressure ≥ 140 mm Hg and/or diastolic blood pressure ≥ 90 mm Hg.It is estimated to cause 9.4 million deaths every year. Aim of the study: This study aimed to conduct ordinal logistic regression analysis of hypertension severity and identifying associated factors for severity of hypertension, using the data of Gondar univeristy referral hospital, North West Ethiopia. Methods: The cumulative logit or the proportional odds regression model is one of the popular choices to study covariate effects on ordinal responses. The proportional odds model was used as a tool to model the severity of hypertension and to identify associated factors for its severity. The fit, of the model was illustrated with 420 hypertension records obtained from Gondar university referral teaching hospital (in the chronic illness medication and follow up clinic). Results: Findings of this study have shown that age of patients (OR= 2.195, P = 0.0051), residence (OR= 1.954, P = 0.0008), alcohol use (OR= 2.329, P = 0.0027), using salty foods (OR= 1.970, P = 0.0007), habit of using vegetable/fruit (OR= 0.516, P = 0.0010), doing physical exercise (OR= 0.571, P = 0.0062) and BMI (OR= 3.293 , P <.0001) were had significant association with severity of hypertension. Conclusion: Polices and plans have to be put in place to improve (motivate) vegetable/fruit users, to decrease the consumption of salty foods, non-alcohol drinkers, normal body mass index and concerned bodies need to issue to implement hypertension prevention strategies.

Keywords: Hypertension severity, ordinal logistic regression, proportional odds model.