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The Journal of Community Health Management


Covariates of prehypertension in Oman


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Author Details : Sanam Anwa*, Bushra Aleem, Ghadeer Jamal Moslhey, Hajir Hamed Rashid

Volume : 5, Issue : 4, Year : 2018

Article Page : 192-196


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Abstract

Introduction: The WHO report in 2010 on country profiles estimated that non-communicable diseases account for nearly 83% of the total deaths in Oman. Prehypertension can predict cardiovascular morbidities.
Objectives: The study was carried out with the objective of identifying important covariates of prehypertension in Oman.
Materials and Methods: In the cross sectional study, a structured questionnaire was used for data collection which had details on socio-demography along with measurements of blood pressure and anthropometry. Binary logistic regression was used to identify important predictors of prehypertension. Wald’s test was used to see the significance of coefficients of regression.
Results: 233 individuals (46.6%) suffered from prehypertension out of the total 500 study population. Mean age of prehypertensives was 42.48 ±1.2. Most of them (70.8%) were males and 29.2% were females. 49.9% had secondary education and 46.4% had higher secondary education. Wald test was significant for gender (Wald= 7.263, p=0.007); sedentary occupation (Wald= 4.518, p=0.034) and age (Wald= 10.870, p=0.001). Percentage accuracy of classification of the model was 78.8%.The predictor model
(chisquare =29.6, p=0.000) accounted for 14.7% variability in prehypertension. Area under the curve was 0.725, p=0.000.
Conclusion: Age, occupation and gender were seen as important predictors of prehypertension in the study population.

Keywords: Prehypertension, covariates, Age, Education, BMI.


Doi : 10.18231/2394-2738.2018.0039

How to cite : Anwa S , Aleem B, Moslhey G J, Rashid H H, Covariates of prehypertension in Oman. J Community Health Manag 2018;5(4):192-196

Copyright © 2018 by author(s) and J Community Health Manag. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License (creativecommons.org)