Lung function parameters improve prediction of VO2peak in an elderly population: The Generation 100 study.
Peak oxygen uptake (VO2peak) is an indicator of cardiovascular health and a useful tool for risk stratification. Direct measurement of VO2peak is resource-demanding and may be contraindicated. There exist several non-exercise models to estimate VO2peak that utilize easily obtainable health parameters, but none of them includes lung function measures or hemoglobin concentrations. We aimed to test whether addition of these parameters could improve prediction of VO2peak compared to an established model that includes age, waist circumference, self-reported physical activity and resting heart rate. We included 1431 subjects aged 69-77 years that completed a laboratory test of VO2peak, spirometry, and a gas diffusion test. Prediction models for VO2peak were developed with multiple linear regression, and goodness of fit was evaluated. Forced expiratory volume in one second (FEV1), diffusing capacity of the lung for carbon monoxide and blood hemoglobin concentration significantly improved the ability of the established model to predict VO2peak. The explained variance of the model increased from 31% to 48% for men and from 32% to 38% for women (p<0.001). FEV1, diffusing capacity of the lungs for carbon monoxide and hemoglobin concentration substantially improved the accuracy of VO2peak prediction when added to an established model in an elderly population.
K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.|Clinic of Thoracic and Occupational Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
Erlend
http://orcid.org/0000-0003-3282-8921
E
Hassel
K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Dorthe
D
Stensvold
Department of Health Research, SINTEF Technology and Society, Trondheim, Norway.
Thomas
T
Halvorsen
K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Ulrik
U
Wisløff
Department of Public Health and General Practice, Norwegian University of Science and Technology, Trondheim, Norway.
Arnulf
A
Langhammer
K.G. Jebsen Center of Exercise in Medicine, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.|Clinic of Thoracic and Occupational Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
Sigurd
S
Steinshamn
D000367:Age Factors; D000368:Aged; D019540:Area Under Curve; D002248:Carbon Monoxide / Q000378:metabolism; D004058:Diffusion; D005260:Female; D005541:Forced Expiratory Volume; D006339:Heart Rate; D006454:Hemoglobins / Q000378:metabolism*; D006801:Humans; D016014:Linear Models; D008168:Lung / Q000502:physiology*; D008297:Male; D008955:Models, Cardiovascular; D010101:Oxygen Consumption; D012372:ROC Curve; D012727:Sex Characteristics; D013147:Spirometry; D055105:Waist Circumference
D006454:Hemoglobins; D002248:Carbon Monoxide