The pandemic caused by SARS-CoV-2 led to a situation of home lockdown. Competitions, training, and sports activities were canceled for much of this period. This situation could have affected the physical and mental health and the mood states of young athletes. The aim of the study was to evaluate the variations in the mood states of young athletes of a highly competitive level during the different phases of lockdown in. The mood states of 45 Spanish youth athletes confined during the 10-week lockdown due to the COVID-19 pandemic -19 were assessed, using the Spanish-translated version of the POMS questionnaire, at the start of the home lockdown and at the start and at the end of the partial lockdown. The Total Mood Disturbance scores at week 10 were lower than those obtained in week 1 (pBonferroni = 0.031). The depression scores at week 6 (pBonferroni = 0.048) and at week 10 (pBonferroni < 0.001) were lower than those obtained in week 1. The confusion scores at week 10 were lower than those obtained in week 1 (pBonferroni = 0.002). These variations differed between team and individual sports. In conclusion, the lockdown produced changes in the young athletes’ mood states that should be considered when trying to optimize their physical and mental performance.

Knowledge of internal load is essential to understand the effect of training and competition on athletes. The aim of this study was to analyse the validity of the rate of perceived exertion (RPE) scale as an indicator of intensity in amateur female basketball players during a relegation play-off. The heart rate and RPE of 10 players (age: 21.30 ± 2.71 years, weight: 68.84 ± 11.21 kg, body fat: 20.74 ± 3.51%) from a Copa Catalunya team while competing over a 10-day period were analysed. The mean heart rate of each match was registered with the Suunto Team Pack™ heart rate monitors. The RPE values were obtained once the match ended, completing the original Borg scale. The mean RPE ranged from 15.20 ± 2.39 to 18.00 ± 1.07 AU, whereas the mean heart rate (MHR) ranged from 132.35 ± 12.37 to 147.33 ± 10.61 bpm. There was also an improvement in the statistical correlation between the two variables as the days progressed. Regression equations were calculated for the total number of registered matches and the last five matches, obtaining the following regression equations: MHR = 6.23 × RPE20 + 36.8 (R2 = 0.56) for all games and MHR = 30.95 + 6.73 × RPE (R2 = 0.73) for the last five games. The results suggest that RPE could be seen as an indicator of intensity in amateur basketball players during a relegation play-off, improving their relationship with MHR as the weeks went by, which could suggest a learning process.