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Background: The FitTrack Index is a web-based programme developed in South Africa and widely used by athletes to indicate their fitness. A need exists for a self-managed, non-invasive tool to evaluate and categorise health-related fitness in different population groups. The aim of this study was to compare the FitTrack Index with a reliable measure of cardio-respiratory fitness as indicated by maximal oxygen uptake (direct VO2max). Methods & results: During a 12-week cross-sectional, descriptive pilot study the direct laboratory tested VO2max indicated a moderate to strong correlation with the FitTrack Index (Spearman's rho = 0.439, p = 0.089 at baseline; Spearman's rho = 0.853, p

Background: The FitTrack Index is a web-based programme developed in South Africa and widely used by athletes to indicate their fitness. A need exists for a self-managed, noninvasive tool to evaluate and categorise health-related fitness in different population groups. The aim of this study was to compare the FitTrack Index with a reliable measure of cardio-respiratory fitness as indicated by maximal oxygen uptake (direct VO2max). Methods & results: During a 12-week cross-sectional, descriptive pilot study the direct laboratory tested VO2max indicated a moderate to strong correlation with the FitTrack Index (Spearman's rho = 0.439, p = 0.089 at baseline; Spearman's rho = 0.853, p < 0.001 after 12 weeks). Conclusions: These results suggest that the web-based FitTrack Index may be considered an appropriate tool to evaluate exercise capacity and cardiovascular fitness in healthy individuals following an aerobic training programme. [ABSTRACT FROM AUTHOR]

Quantification of cardiac autonomic activity and control via heart rate (HR) and heart rate variability (HRV) is known to provide prognostic information in clinical populations. Issues with regard to standardisation and interpretation of HRV data make the use of the more easily accessible HR on its own as an indicator of autonomic cardiac control very appealing. The aim of this study was to investigate the strength of associations between an important cardio vascular health metric such as VO2max and the following: HR, HRV indicators and heart rate normalised HRV indicators. A cross sectional descriptive study was done including 145 healthy volunteers aged between 18 and 22 years. HRV was quantified by time domain, frequency domain and Poincaré plot analysis. Indirect VO2max was determined using the Multistage Coopers test. The Pearson correlation coefficient was calculated to quantify the strength of the associations. Both simple linear and multiple stepwise regressions were performed to be able to discriminate between the role of the individual indicators as well as their combined association with VO2max. Only HR, RR interval and pNN50 showed significant (p