Author Interviews, Exercise - Fitness, Heart Disease / 03.12.2016
Non-Exercise Algorithm Predicts Fitness and Lifestyle-Related Disease
MedicalResearch.com Interview with:
Bjarne M. Nes, PhD
K.G. Jebsen Center for Exercise in
Medicine, Department of Circulation and Medical Imaging
Norwegian University of Science and Technology
Trondheim, Norway.
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: It is well known that cardiorespiratory fitness is an important predictor of future cardiovascular disease risk. Still, fitness levels are rarely measured in clinical practice, likely because of costly and time-consuming procedures that requires quite a lot of training.
Therefore, we wanted to test the ability of a simple estimation of fitness, from a so-called non-exercise algorithm, to identify individuals at high and low risk of cardiovascular mortality. We tested fitness alone and in combination with traditional risk factors such as high blood pressure, cholesterol, smoking and family history of heart disease and diabetes, among 38,480 men and women from the Nord-Trondelag Health Study in Norway. We found that estimated fitness strongly predicts premature deaths from all causes and that traditional clinical risk factors added little above and beyond fitness in terms of predicting risk.
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