Descriptive data for men and women in the HUNT 3 fitness study. Table 2. Physiological cardio-respiratory variables in the HUNT 3 Fitness study stratified by intensity levels, sex and age groups. Table 3. Peak respiratory variables in the HUNT 3 fitness study stratified by sex and height. Table 4. Table 5. Ventilatory equivalents at peak exercise and at ventilatory anaerobic threshold in the HUNT 3 fitness study. EqVCO 2VThan , among the 3 oldest age groups, stratified by fitness quartiles In those aged 50—59 years there was a 7.
Table 6. Estimating key cardio pulmonary parameters from non-exercise prediction models Prediction equations for V Epeak , VCO 2peak and V Than were derived from non-exercise variables, including weight, height, age and sex.
Table 7. Multiple linear regression models for predicting key cardio respiratory variables from non-exercise variables: The HUNT 3 fitness study.
Figure 1. Figure 2. Discussion This is the largest European cardio-respiratory reference material in healthy men and women aged 20—90 years. Ventilatory efficiency stratified by sex In line with previous studies [17] , [22] we observed similar EqVO 2peak in men and women. Non-exercise prediction models for key cardio-respiratory variables There is a plethora of VO 2peak prediction models. Strengths and limitations The large sample size, inclusion of men and women, wide age distribution and cardio-respiratory measurements up to the true VO 2max makes this study robust.
Conclusions The selection of key cardio-respiratory variables combined with an age and sex stratified large sample size makes this material unique.
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