RESUMEN
Introduction: the prevalence of hypertension in Nigeria is high, with a considerable proportion of it being undiagnosed. Nevertheless, early identification of influencing variables for hypertension in different population groups is important for several reasons. This study aimed to determine the prevalence and correlates of undiagnosed hypertension among staff of a university community in Nigeria. Methods: a purposive sample of 281 staff of Bauchi State University, Gadau, Nigeria, fulfilled the inclusion criteria and were enrolled in this cross-sectional study. Demographics, blood pressure, height, weight, socioeconomic status and physical activity were measured. Diagnosis of hypertension was defined based on a systolic and diastolic blood pressure of ≥140 mmHg and ≥90 mmHg, respectively. Data obtained was analysed descriptively, and by means of Chi-square, univariate and multivariate statistics using SPSS v24 software. Results: the mean age and body mass index (BMI) of the participants was 34.5 years and 23.1 ± 5.17 Kg/m2, respectively. The prevalence rate of undiagnosed hypertension was 27.8%. Normotensives significantly differed from participants with undiagnosed hypertension in most of the clinical and demographic variables (p<0.05). Univariate and multivariate analyses revealed that a positive family history of hypertension had the highest odds of having undiagnosed hypertension (aOR: 0.833, 95%CI: 16.55-432.87, p= 0.000). Next, a higher BMI score (aOR: 0.425, 95%CI: 0.085-0.447, p= 0.000), male gender (aOR: 0.451, 95%CI: 0.141-0.829, p= 0.018), job cadre (aOR: 0.515, 95%CI: 0.073-0.550, p= 0.002) and low physical activity level (aOR: 0.572, 95%CI: 5.296-49.777, p=0.000) were other factors with about 50% odds for having undiagnosed hypertension among the participants. Lastly, smoking status and socioeconomic status of the participants were not significantly associated with undiagnosed hypertension (p>0.05). Conclusion: a high percentage of the studied population have undiagnosed hypertension that is mainly associated with non-modifiable (especially positive family history) and a few modifiable risk factors. These variables can be used for early identification and in designing appropriate preventive strategies.
