ArticleInternational journal of hypertension2026
Prevalence and Factors Associated With Hypertension Among Type 2 Diabetic Patients in Private Health Facilities, Kampala, Uganda.
Article in International journal of hypertension, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Prevalence and Factors Associated With Hypertension Among Type 2 Diabetic Patients in Private Health Facilities, Kampala, Uganda.International journal of hypertension · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Noncommunicable diseases (NCDs) such as Type 2 diabetes mellitus (T2D) and hypertension (HTN) are the leading causes of mortality worldwide, particularly in low- and middle-income countries (LMICs). In Uganda, while private health facilities in urban areas are preferred for managing these conditions, there is limited information on the prevalence of HTN and associated risk factors among T2D patients in these settings. This study assessed the prevalence of HTN and associated factors among T2D patients in private health facilities, Kampala, Uganda. Methods: A health facility-based cross-sectional study using quantitative methods was employed, which included obtaining information from the patient records and a structured questionnaire. The study recruited 295 participants at the diabetes clinics in selected private health facilities. The collected data were analysed using STATA 15.0 statistical software. Bivariate and multivariable analyses were conducted using a generalised linear model of modified Poisson regression. Results: Almost a third, 28.9% (85/295) of the participants had lived with T2D for more than 10 years. The prevalence of HTN among participants was 63.7%. Knowledge of HTN was low, with only 44.1% of the participants knowing about blood pressure, and 56.3% had a low level of knowledge overall. Participants who smoked (APR = 2.15, 95% Cl: 1.34-3.46), consumed an alcoholic drink in the past 30 days (APR = 1.56, 95% Cl: 1.10-2.20) and had a high level of knowledge on HTN (APR = 2.16, 95% Cl: 1.56-2.99) were more likely to have HTN. Conclusions: Our study found a worrying high burden of uncontrolled HTN among T2D patients, which could be due to risky behaviours including smoking and alcohol use. The generated evidence will inform feasible HTN risk reduction measures among T2D patients, which will improve awareness and existing controls set up by the different stakeholders. Therefore, there is a need for consolidated efforts aimed at addressing the identified gaps through community health education and lifestyle adjustments at facilities they attend to, especially for high-risk behaviours such as smoking and alcohol use, to effectively reduce HTN prevalence in similar populations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.