AI Article Synopsis
Article Abstract
Background: Undiagnosed arterial hypertension is frequent. Whether it is associated with gender and the absence of cardiovascular-disease warning signs is unknown. Knowledge of the features of undiagnosed-hypertension subjects may help their identification in primary care.
Objective: To examine whether gender, alcohol consumption, smoking status, health status, cardiovascular diseases/diabetes, familial hypertension history, anti-cholesterol treatment, GP-consultation frequency, body mass index (BMI), waist circumference and metabolic measurements were associated with having undiagnosed hypertension among hypertensive subjects.
Methods: This population-based study included 281 hypertensive adults (aged 50-76 years): 222 subjects with diagnosed and treated-hypertension and 59 undiagnosed-hypertension subjects (no hypertension history, office and 24-h ambulatory blood pressures ≥140/90 and ≥130/80 mmHg, respectively). Subjects' characteristics, clinical and biological measurements, health problems and blood pressures were collected. Data were analyzed using adjusted odds ratios (OR) computed with multivariable logistic regression models.
Results: Undiagnosed-hypertension represented 21% of hypertensive subjects. Multivariable logistic regression modeling showed that five risk factors were associated with undiagnosed-hypertension among hypertensive subjects: male gender (OR = 4.61, P < 0.001), no cardiovascular diseases/diabetes (OR=8.51, P < 0.001), no familial hypertension history (OR = 3.15, P = 0.002), number of GP consultations per year (3+, 1-2, and 0; OR = 3.18 per 1-category increase, P < 0.001), and lower waist circumference (OR = 1.05 per 1-cm decrease, P = 0.002). Living alone, alcohol consumption, health status, anti-cholesterol treatment, BMI, and blood glucose were also significant factors (P < 0.05) in bivariate analysis.
Conclusion: Undiagnosed-hypertension subjects exhibit specific features associated with their hypertension awareness. These findings help understand undiagnosed-hypertension risk patterns and enable better identification of affected subjects for lifestyle management and care.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1093/fampra/cmy075 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The Chronic Conditions Care Collaborative (4C Collaborative): A Platform for Improving Diabetes and Heart Disease Outcomes in Rural South Carolina.
Am J Lifestyle Med
August 2024
Department of Public Healtht, South Carolina Department of Health and Environmental Control, Columbia, SC, USA (BG, KM, MJ, CB, SH).
Rural U.S. counties experience racial, geographic, and socioeconomic disparities in chronic diseases.
View Article and Find Full Text PDFDiagnostic performance of single-lead electrocardiograms for arterial hypertension diagnosis: a machine learning approach.
J Hum Hypertens
October 2024
Department of Cardiology, Heraklion University General Hospital, Heraklion, Greece.
Awareness and early identification of hypertension is crucial in reducing the burden of cardiovascular disease (CVD). Artificial intelligence-based analysis of 12-lead electrocardiograms (ECGs) can already detect arrhythmias and hypertension. We performed an observational two-center study in order to develop a machine learning algorithm to proactively detect arterial hypertension from single-lead ECGs.
View Article and Find Full Text PDFMay Measurement Month 2021: an analysis of blood pressure screening results from Bulgaria.
Eur Heart J Suppl
June 2024
Imperial Clinical Trials Unit, Imperial College London, Stadium House, 68 Wood Lane, London W12 7RH, UK.
Cardiovascular disease is not only the leading cause of mortality in Bulgaria, but the associated mortality rate is twice the European Union average, so screening programmes that identify subjects with elevated blood pressure (BP) are of utmost importance. May Measurement Month (MMM) is an annual global initiative that began in 2017 that aims to raise awareness of high BP. Bulgaria first joined the third campaign of MMM in 2019, and an overview of the results of Bulgarian participation in MMM21 is presented in this paper.
View Article and Find Full Text PDFMinimal Contribution of the Social Determinants of Health to the Prevalence of Hypertension among Egyptian Public Servants.
Curr Hypertens Rev
September 2023
Public Health Department, Faculty of Medicine, Minia University, El-Minia, Egypt.
Background: Previous research suggests the role of social determinants of health (SDH) in the prevalence of hypertension.
Objective: The study aimed to estimate the contribution of SDH to the prevalence of hypertension.
Methods: We recruited 3072 Egyptian public servants who answered a self-administered questionnaire, including hypertension history.
Prevalence of Undiagnosed Hypertension and Associated Factors among Adults in Mizan-Aman Town, Bench Sheko Zone, Southwest Ethiopia: A Community-Based Cross-Sectional Study.
Adv Med
July 2023
Department of Epidemiology, Faculty of Public Health, Institute of Health, Jimma University, Jimma, Ethiopia.
Objectives: This study aimed to assess the prevalence of undiagnosed hypertension and associated factors among people aged 18 years and above in Mizan-Aman town of Bench Sheko Zone in Southwest Ethiopia. . A community-based cross-sectional study design was carried out among people aged 18 years old and above from April 1 to 30, 2021, in Mizan Aman town.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!