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Estimating V·O 2peak from a nonexercise prediction model: the HUNT Study, Norway.
Bjarne Martens Nes1, Imre Janszky, Lars Johan Vatten
1K. G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
A new nonexercise model accurately predicts cardiorespiratory fitness (V·O 2peak) using age, waist circumference, physical activity, and resting heart rate. This tool offers a practical way to assess fitness in clinical settings.
Area of Science:
- Cardiovascular Health
- Exercise Physiology
- Preventive Medicine
Background:
- Cardiorespiratory fitness is a key indicator of cardiovascular risk.
- Current healthcare practices rarely incorporate fitness assessments.
- Peak oxygen uptake (V·O 2peak) is a direct measure of cardiorespiratory fitness.
Purpose of the Study:
- To develop and validate a novel nonexercise regression model for estimating cardiorespiratory fitness.
- To create separate models for men and women using directly measured V·O 2peak.
- To assess the model's accuracy and generalizability in healthy populations.
Main Methods:
- Developed a nonexercise regression model using multivariable analysis.
- Included 4637 healthy participants (2067 men, 2193 women).
- Employed standard data splitting for cross-validation and error evaluation.
Main Results:
- Identified age, waist circumference, leisure physical activity, and resting heart rate as key predictors.
- The models explained 61% of V·O 2peak variance in men and 56% in women.
- Achieved low standard error of estimate (SEE) values (5.70 for men, 5.14 for women).
Conclusions:
- The developed nonexercise model demonstrates good accuracy in predicting V·O 2peak.
- The model shows potential for broad application in healthy populations.
- It serves as a valuable tool for estimating cardiorespiratory fitness in outpatient settings.
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