Abstract

The purpose of this study was to develop functional aerobic capacity prediction models without using exercise tests (N-Ex) and to compare the accuracy with Astrand single-stage submaximal prediction methods. The data of 2,009 subjects (9.7) were randomly divided into validation (N = 1,543) and cross-validation (N = 466) samples. The validation sample was used to develop two N-Ex models to estimate VO2peak. Gender, age, body composition, and self-report activity were used to develop two N-Ex prediction models. One model estimated percent fat from skinfolds (N-Ex fat) and the other used body mass index (N-Ex BMI). The multiple correlations for the developed models were R = 0.81 (SE = 5.3 ml/kg/mind) and R = 0.78 (SE = 5.6 ml/kg/min). This accuracy was confirmed when applied to the cross-validation sample. The N-Ex models were more accurate than what was obtained from VO2peak estimated from the Astrand prediction models. The SEs of the Astrand models ranged from 5.5-9.7 ml/kg/min. The N-Ex models were cross-validated on 59 men on hypertensive medication and 71 men who were found to have a positive exercise ECG. The SEs of the N-Ex models ranged from 4.6-5.4 ml/kg/min with these subjects. An analysis of subsamples of the cross-validation sample showed that the accuracy of the models was upheld with all but subjects with a VO2peak =/> 55 ml/kg/min. This confirmed that the N-Ex models were more accurate than established submaximal treadmill prediction models and are appropriate for about 96 of the adult population. Verf.-Referat