Hypertension is a main public health issue and a crucial area of research due to its high prevalence and being a considerable risk factor for cardiovascular defects and other difficulties. Furthermore, hypertension prevalence in the Middle East is not well-defined. The aim of the study is to assess the prevalence of hypertension and its related factors in Hotat Bani Tamim province. The study adopted the questionnaire in the data collection process. The sample size of the study was 210 participants. Descriptive statistics and logistic regression were adopted. The study found that there was a significant relationship between hypertension and the variables: education level primary (OR:0.939, 95% CI:0.095-12.769), secondary (OR:0.232, 95% CI:0.583-9.208), and university education (OR:0.700, 95% CI:0.264-2.445). Participants from urban areas (OR:0.368, 95% CI:0.142-0.959), having family history of hypertension (OR:2.773, 95% CI:1.101-6.989), and the body mass index normal weight (OR:0.0.149, 95% CI:0.230-0.965), overweight (OR:0.148, 95% CI:0.024-0.924), obesity class1 (OR:0.298, 95% CI:0.034-2.050), and obesity class2 (OR:0.042, 95% CI:0.004-0.462) were less likely to have hypertension as compared to the participants who had obesity class3. Whilst the model revealed an insignificant relationship between hypertension and the variables: age, gender, social status, and economic status. Saudi Arabia is facing a rising burden of hypertension diseases because of rapid changes in behaviors and lifestyle. Our findings prove the need for considerable intervention to lower this burden and to engage other sectors of the government and the community in these issues.

a predictive model, hypertension, odds ratio, associated factors, logistic regression.

Received: March 25, 2022; Revised: April 28, 2022; Accepted: May 10, 2022; Published: June 1, 2022

How to cite this article: Mohammed Omar Musa Mohammed and Ahamed Saied Rahama Abdallah, A predictive model for assessing hypertension associated factors in Hotat Bani Tamim Province, Advances and Applications in Statistics 77 (2022), 1-20. http://dx.doi.org/10.17654/0972361722040

This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License

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