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Abstract Background Minimal data is available on the prevalence and correlates of hypertension and prehypertension in Dubai. The study aims to measure the prevalence of hypertension and pre-hypertension and the associated socio-demographic characteristics, behavioral risk factors and comorbidities among the adult population of Dubai. Methods This study used data from the Dubai Household Health Survey, 2019. A cross-sectional population survey based on a complex stratified cluster random design. The total eligible sample included 2530 adults (18+). Sociodemographic and behavioral factors were considered as independent covariates. The main study outcome variables, pre-hypertension and hypertension, were ordinal, with normotension as the reference group. Results The overall prevalence of hypertension in adults was 32.5% (38.37% in males and 16.66% in females). Prehypertension was prevalent in 29.8% of adults in Dubai (28.85% in males and 32.31% in females). The multivariate logistic regression analysis revealed that age groups, gender, occupation, and high Body Mass Index were significantly associated with a higher risk of hypertension at the level of P

OBJECTIVES The aim of this study was to develop a risk score model for predicting hypertension specific to the population of Dubai in the United Arab Emirates (UAE) to facilitate prevention and early intervention. METHODS A retrospective analysis of data from the Dubai Household Health Survey 2019 was conducted. Demographic and physical parameters, as well as blood glucose levels, were included in the data. The risk factors for hypertension were identified using bivariate analysis. A risk score model was developed using the enter method, where all significant predictors of hypertension in bivariate analyses were entered in a single step with the primary outcome of hypertension status (yes/no). The model was validated internally by splitting the data into Emirati and non-Emirati populations. RESULTS A total of 2,533 subjects were studied. The significant risk factors for hypertension identified were male sex, older age (≥40 years), education level, body mass index, diabetes mellitus, and dyslipidaemia. The model showed a high discrimination ability between individuals with and without hypertension, with an area under the curve of 0.77 (95% confidence interval [CI], 0.75 to 0.79), excellent sensitivity (81.0%; 95% CI, 71.9 to 88.2) and moderate specificity (56.0%; 95% CI, 45.7 to 65.9). CONCLUSIONS The model developed by this study is simple, convenient, and based on readily available demographic and medical characteristics. This risk score model could support initial hypertension screening and provide an effective tool for targeted lifestyle counselling and prevention programs.