Lung function parameters improve prediction of VO2peak in an elderly population: The Generation 100 study

Area of Science:

• Cardiology
• Pulmonology
• Gerontology

Background:

• Peak oxygen uptake (VO2peak) is a key cardiovascular health indicator and risk stratification tool.
• Direct VO2peak measurement is costly and may pose risks.
• Existing non-exercise models for VO2peak estimation lack lung function and hemoglobin data.

Purpose of the Study:

• To evaluate if incorporating lung function (spirometry, gas diffusion) and hemoglobin concentration improves VO2peak prediction accuracy.
• To compare the enhanced model against an established model using age, waist circumference, physical activity, and resting heart rate.

Main Methods:

• Multiple linear regression was used to develop prediction models for VO2peak.
• 1431 elderly participants (69-77 years) underwent VO2peak testing, spirometry, and gas diffusion tests.
• Model goodness of fit was assessed.

Main Results:

• Forced expiratory volume in one second (FEV1), diffusing capacity, and hemoglobin concentration significantly enhanced VO2peak prediction.
• Model explained variance increased from 31% to 48% in men and 32% to 38% in women (p<0.001).

Conclusions:

• Lung function measures (FEV1, diffusing capacity) and hemoglobin concentration substantially improve VO2peak prediction accuracy in the elderly.
• The enhanced model provides a more accurate estimation of cardiorespiratory fitness in older adults.