About this Research Topic
Hypertension is a significant risk factor for cardiovascular disease and premature death worldwide. Of the estimated 1.13 billion people suffering from hypertension, approximately a third are undiagnosed, and of those diagnosed, around half are non-adherent to antihypertensive medications. Globally, fewer than 1 in 5 people with hypertension meet the guidelines of hypertension control.
Poor adherence to treatment is a severe challenge that partly accounts for the inability to achieve management targets, particularly in lower socioeconomic strata. Local media and the opinions of friends and family about disease and medication are a few factors that may influence adherence but have not been rigorously studied.
Additionally, using Artificial Intelligence and Machine Learning to analyze vast amounts of medical data to predict better, diagnose, and manage hypertension needs to be investigated. Research into personalized treatment approaches based on an individual's genetic and physiological characteristics and research on understanding and addressing disparities in hypertension prevalence and outcomes among different racial, ethnic, and socioeconomic groups is crucial for public health.
Furthermore, the influence of the gut microbiome, the role of psychosocial stress, and the efficacy of specific nutrients and functional foods are all areas of research in hypertension that require further investigation.
In summary, areas of interest include but are not limited to:
• Current hypertension management strategies and areas with scope for improvement.
• Approaches to improve adherence to therapy - including empowering patients with knowledge about hypertension and self-management, use of mobile apps, wearables, telemedicine and remote monitoring, and patient education programs to improve patient engagement and adherence to treatment plans and access to diagnosis and treatment, especially in lower and middle-income countries.
• The application of digital health and monitoring, Artificial Intelligence, and Machine Learning to analyze medical data and better predict, diagnose, and manage hypertension, as well as identify high-risk patients and optimize treatment plans.
• The connection between the gut microbiome and hypertension including leading to new treatment approaches such as probiotics or dietary interventions.
• Evidence of psychosocial stress in the pathogenesis of hypertension and interventions (such as yoga, meditation, Tai Chi, mindfulness, etc.) that may reduce psychosocial stress and blood pressure.
• The efficacy of specific nutrients and functional foods (such as omega-3 fatty acids, potassium, garlic, cocoa, vitamin C, coenzyme Q10, magnesium, and herbal extracts) to lower blood pressure and recommendations for the safe and effective use of these interventions.
We want to call for original clinical research articles, controlled trials, observational studies, review articles, systematic reviews, and meta-analyses on the above-mentioned areas in hypertension.
This collection builds upon the previous success of the Research Topic Strategies for Improving Hypertension Management.
Poor adherence to treatment is a severe challenge that partly accounts for the inability to achieve management targets, particularly in lower socioeconomic strata. Local media and the opinions of friends and family about disease and medication are a few factors that may influence adherence but have not been rigorously studied.
Additionally, using Artificial Intelligence and Machine Learning to analyze vast amounts of medical data to predict better, diagnose, and manage hypertension needs to be investigated. Research into personalized treatment approaches based on an individual's genetic and physiological characteristics and research on understanding and addressing disparities in hypertension prevalence and outcomes among different racial, ethnic, and socioeconomic groups is crucial for public health.
Furthermore, the influence of the gut microbiome, the role of psychosocial stress, and the efficacy of specific nutrients and functional foods are all areas of research in hypertension that require further investigation.
In summary, areas of interest include but are not limited to:
• Current hypertension management strategies and areas with scope for improvement.
• Approaches to improve adherence to therapy - including empowering patients with knowledge about hypertension and self-management, use of mobile apps, wearables, telemedicine and remote monitoring, and patient education programs to improve patient engagement and adherence to treatment plans and access to diagnosis and treatment, especially in lower and middle-income countries.
• The application of digital health and monitoring, Artificial Intelligence, and Machine Learning to analyze medical data and better predict, diagnose, and manage hypertension, as well as identify high-risk patients and optimize treatment plans.
• The connection between the gut microbiome and hypertension including leading to new treatment approaches such as probiotics or dietary interventions.
• Evidence of psychosocial stress in the pathogenesis of hypertension and interventions (such as yoga, meditation, Tai Chi, mindfulness, etc.) that may reduce psychosocial stress and blood pressure.
• The efficacy of specific nutrients and functional foods (such as omega-3 fatty acids, potassium, garlic, cocoa, vitamin C, coenzyme Q10, magnesium, and herbal extracts) to lower blood pressure and recommendations for the safe and effective use of these interventions.
We want to call for original clinical research articles, controlled trials, observational studies, review articles, systematic reviews, and meta-analyses on the above-mentioned areas in hypertension.
This collection builds upon the previous success of the Research Topic Strategies for Improving Hypertension Management.
Keywords: hypertension, adherence, management, lower middle income countries, interventions, pharmacological, non pharmacological
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