Cardiovascular Disease Epidemiology in a Changing World: Where to from Here?

Dear Colleagues,

Cardiovascular epidemiology faces increasing challenges with respect to the real clinical value of many of the outputs in the academic literature. This challenge has been increased by the development of new research pathways, emerging mainly from advances in technology and big data availability; these also provide considerable opportunities for future cardiovascular epidemiologists.

A valid critique of many current models is that they may ignore important lifestyle factors (sleep habits, diet quality, hydration), as well as environmental factors and climate change. Many of these variables can be measured, although the potential to account for their influence may require additional computational capacity, which has only recently become readily available. In a rapidly changing world during the new era of big data, is cardiovascular epidemiology making full use of these technological advances? If not, what are the barriers? If yes, how should research interact with policy, and what steps are needed to use such resources efficiently? This is the main focus of this Special Issue.

We encourage you and your colleagues to submit articles reporting on this topic; reviews or original articles discussing the role of technology, digital data (health apps), geospatial data, and social media in CVD prevention are of particular interest for this Special Issue, as well as different statistical approaches in CVD prevention and risk estimation (Mendelian randomization, Bayesian statistics, and big data analytics). Moreover, lifestyle aspects, such as hydration, sleep habits, plant-based diets and other dietary patterns, and effects of lifestyle behaviour change over time, as well as environmental aspects (air pollution, green space availability, climate change, social connectedness), are topics of special consideration. Lastly, we warmly invite you to submit articles reporting on evidence for CVD assessment barriers and methodological issues in CVD research, including residual risk, modeling techniques, and exposure assessment (e.g., diet quality assessment).

Dr. Ekavi N. Georgousopoulou
Dr. Duane D. Mellor
Guest Editors

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• Health technology
• Disease modeling
• Novel risk factors
• Epigenetics
• Metabolomics
• Dietary patterns
• Sociological factors
• Lifestyle prevention
• Mendelian randomization
• Climate change
• Environmental factors