Detecting undiagnosed hypertension using repeated blood pressure measurements: a cross-sectional study in rural Sidama Region, Ethiopia

Scritto il 22/02/2026
da Betelhem E Birhanu

BMJ Open. 2026 Feb 22;16(2):e109851. doi: 10.1136/bmjopen-2025-109851.

ABSTRACT

OBJECTIVE: To determine the prevalence of undiagnosed hypertension and its risk factors among adults in rural Sidama Region, Ethiopia, using a two-step diagnostic method.

DESIGN: A community-based cross-sectional study was conducted from 1 April to 31 July 2024. Data were collected among adults aged 45 years and above using the World Health Organization STEPwise Approach to Surveillance questionnaire. The Demographic and Health Survey questionnaire was also used to collect data on household characteristics.

SETTING: Selected rural kebeles of Shebedino district, Sidama, Ethiopia.

PARTICIPANTS: 2875 adults aged ≥45 years identified via census.

OUTCOME MEASURES: Undiagnosed hypertension was defined as systolic blood pressure ≥140 mm Hg and/or diastolic blood pressure ≥90 mm Hg, in individuals with no history of the condition.

RESULTS: The prevalence of undiagnosed hypertension ranged from 7.7% (95% CI: 6.7% to 8.7%) to 14.3% (95% CI: 13.0% to 15.6%). The previously diagnosed hypertensive cases were found in 3.3% (95% CI: 2.7% to 4.1%). Female sex (AOR 2.02; 95% CI: 1.44 to 2.82), age ≥ 65 years (AOR 1.48; 95%CI: 1.01 to 2.15), and history of alcohol drinking and khat chewing (AOR 2.94; 95%CI: 1.52 to 5.66) were significantly associated with undiagnosed hypertension. Lack of awareness of salt-related health risks (AOR 3.14; 95% CI: 2.30 to 4.30) and no prior blood pressure measurement (AOR 5.60; 95% CI: 1.73 to 18.07) were also associated with undiagnosed hypertension.

CONCLUSIONS: Undiagnosed hypertension is common among adults aged ≥45 years in the rural Sidama Region. Female sex, older age, substance use, limited awareness of salt-related health risks, and lack of prior blood pressure measurement were the identified risk factors. Regular screening should be implemented to detect cases at an early stage.

PMID:41724510 | DOI:10.1136/bmjopen-2025-109851