Prediction equations for cardiorespiratory fitness
The present study developed new equations specifically for older adults using both non-maximal exercise information (the basic and extended equations) and adding several complementary variables from CPET but without gas exchange (maximal equation). All the equations achieved high prediction values (74–87% of variance explained) above the average of equations previously reported and based on larger sample sizes and different population age groups [The number and type of variables included in the calculation of eCRF are also relevant as they could affect the feasibility of these equations at different settings (clinical, epidemiology, etc.). Our In this line, the equation proposed by Jurcal et al. [The observed differences in the predictive values found across studies could be due to the methodological variability identified. The different age ranges and sample sizes of age groups could be plausible reasons for the variability observed in the accuracy of non-maximal exercise prediction equations in previous studies [