Improving Cardiovascular Health Through Physical Activity and Exercise
A special issue of Journal of Functional Morphology and Kinesiology (ISSN 2411-5142). This special issue belongs to the section "Physical Exercise for Health Promotion".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 6
Special Issue Editor
Interests: sports cardiology; chronic cardiac diseases management with physical activity; cardiac rehabilitation; therapeutic exercise; chronic renal—cardiac disease and exercise; exercise-induced cardiac adaptation; preventive cardiology; clinical exercise physiology; new technologies in physical activity for cardiac health
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore the multifaceted role of physical activity and structured exercise in the prevention, management, and rehabilitation of cardiovascular diseases. Emphasizing both clinical and mechanistic perspectives, this issue invites contributions that address how various forms of exercise influence cardiovascular risk factors, vascular biology, autonomic regulation, and long-term outcomes across diverse populations.
Topics of interest include—but are not limited to—the effects of exercise on endothelial function, lipid metabolism, blood pressure regulation, inflammatory pathways, cardiac remodeling, and angiogenesis. Moreover, potential topics include the applications of recent technological innovations, particularly artificial intelligence (AI), in the field of cardiovascular prevention and rehabilitation. This issue also welcomes original research, systematic reviews, meta-analyses, and expert commentaries examining exercise prescription in different clinical contexts (e.g., heart failure, coronary artery disease, hypertension, obesity, and diabetes) and among special populations such as the elderly, individuals with comorbidities, or those undergoing cardiac rehabilitation.
By integrating translational, clinical, and epidemiological research, this issue seeks to provide a comprehensive understanding of how physical activity contributes to cardiovascular health and longevity, supporting evidence-based strategies for public health and individualized patient care.
Prof. Dr. Asterios Deligiannis
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Functional Morphology and Kinesiology is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- cardiovascular health
- cardiovascular exercise physiology
- cardiac rehabilitation
- cardiac exercise prescription
- cardiovascular prevention
- chronic heart failure and exercise
- artificial intelligence in sports cardiology
- wearable technology and cardiovascular health outcomes
- digital cardiac health interventions
- AI-guided cardiac rehabilitation programs
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