The current literature is mostly male-based, limiting evidence-based recommendations for training individualization for female athletes. Recently, studies have relied on recent findings showing a potential effect of the menstrual cycle to exclude female athletes from their samples. We highlight that the arguments usually put forward to this action are not acceptable. Our discussion aims to elucidate that female physiological parameter can be confounding variables in the same way than other parameters (temperature, nutrition, fatigue, etc.). Those are usually well handled in most studies. This is important to bridge the current sex data gap and promote research on female athletes. Specially, as we approach the next Olympic Games, were, for the first time, there will be full gender parity in terms of athlete numbers at the Olympic Games Paris 2024.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.