Polar watches with heart rate monitoring function have become popular among recreational and professional athletes. In addition to monitoring functions, they calculate a specific index called OwnIndex which is claimed to measure aerobic training status. The current research attempted to shed light on the factors determining the OwnIndex. In Study 1, OwnIndex calculated by the RS-400 Polar watch was estimated using anthropometric (gender, age, height, weight), cardiovascular (resting HR, RMSSD), and exercise-related (maximal oxygen uptake, self-reported physical activity) data of 45 young adults. In Study 2, the OwnIndex was measured in 21 young adults twice, first with self-reported physical activity set to the lowest, then to the highest value. In the regression analysis (Study 1), the only significant predictor of OwnIndex was self-reported physical activity (R 2 = 0.883; β = 0.915, p < 0.001). A significant difference with a large effect size (t(20) = -16.657, p < 0.001, d = 3.635) and no significant correlation (r = -0.32; p = 0.155) were found between the OwnIndices calculated with different levels of activity in Study 2. As anthropometric and cardiac variables play a practically negligible role in the calculation of the OwnIndex, it cannot be considered an appropriate measure of aerobic fitness.Keywords: aerobic fitness, assessment, technology, exercise, placeboMonitoring of heart rate (HR) has become more and more popular among recreational as well as elite athletes in aerobic sports, particularly in cycling and running. Relying on this information, athletes are able to optimize their training load, and avoid cardiac overload. Although even modern mobile phones are able to receive and handle HR-related information, the primary platform for such tasks is a combination of a chest strap that functions as electrodes, a wireless transmitter attached to the strap, and a receiver unit, usually a special watch. The development of these devices started already in the 70s, and today several companies offer products that support the planning and monitoring of workouts. One of the leading companies is Polar Electro; its advanced watches are claimed not only to be able to monitor heart rate during exercise but also to characterize aerobic fitness (i.e., maximal oxygen uptake: VO 2 max) by a specific index called OwnIndex. The OwnIndex is calculated using a non-linear method, i.e., an artificial neural network (ANN) approximation from demographic and heart rate related variables. This latter component is not specified in more detail, i.e., the actual variables (e.g. heart rate, certain types of heart rate variability, HRV) used in the approximation are unknown. According to the reported results, the method was able to estimate the VO 2 max from a short R-R interval measurement with high correlation (0.96) and accuracy (39-41). In the current implementation of the method, the calculation of