Hypertension at IgMin Research | Medicine Group
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About
Hypertension, commonly known as high blood pressure, is a chronic medical condition that significantly increases the risk of heart disease, stroke, and kidney failure. As one of the leading causes of morbidity and mortality worldwide, hypertension is a critical area of research focused on understanding its underlying mechanisms, risk factors, and effective management strategies. Researchers in this field study the genetic, environmental, and lifestyle influences that contribute to hypertension, aiming to develop new therapeutic approaches to control blood pressure and prevent complications.
The study of Hypertension integrates insights from cardiovascular medicine, endocrinology, and public health to improve diagnosis, treatment, and prevention strategies. By exploring areas such as pharmacotherapy, lifestyle interventions, and the impact of diet on blood pressure, research in hypertension seeks to enhance patient outcomes and reduce the global burden of this condition. Advancements in this field are essential for developing personalized treatment plans and optimizing long-term management.
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Semiclassical Potential Function of B–B Interaction: Reduction to Integrable Form
- Development of a Mechanical Seal Closed Design Model
- Improved Energy Valley Optimizer with Levy Flight for Optimization Problems
- Maternal Knowledge and Practices in Caring for Children under Five with Pneumonia: A Cross-Sectional Study in Vietnam
- Contribution to the Knowledge of Ground Beetles (Coleoptera: Carabidae) from Pakistan
- Comparing Forecasting Models for Predicting Infant Mortality: VECM vs. VAR and BVAR Specifications
