This consensus statement is the product of the Second International Think Tank on Athlete Mental Health, held on the initiative of the International Society of Sport Psychology. The purposes of the Think Tank were to engage international sport psychology societies and organisations in a discussion about athlete mental health as embedded in an Olympic/Paralympic cycle, and to develop practical recommendations for sport organisations. An invited group of designated experts discussed applied experiences working with athletes within an Olympic and Paralympic environment. The Games and mental health are interrelated, because athletes committing whole-heartedly to an Olympic/Paralympic pursuit are at increased risk of disappointment, identity foreclosure, and high life stress. Dividing the quadrennial into three main phases (i.e., pre-, during-, and post-Games) participants discussed three topics for each phase: (1) the key opportunities and challenges; (2) the sport environment, and how it can nourish or malnourish athlete mental health; and (3) collaboration and communication within expert support teams. Each phase of the quadrennium presents specific challenges and opportunities, and mental health screening and support should be administered across all phases. However, the post-Games period is one of increased vulnerability, while at the same time, the returning staff is oftentimes exhausted and unavailable. Ideally, a specialised collaborative team should handle the post-Games mental health support. Initiatives are needed to (a) improve the psychological safety of pre-, during-, and post-Games high performance environments, (b) reduce unnecessary stress, (c) optimise recovery, (d) de-stigmatize mental health issues, and (e) increase help-seeking.

The aims of the present study are to understand indicators and the scope of theoretical models adopted to describe athletes’ resilience, as well as to analyze their impact on investigations about such resilience. A search for original academic publications within a 10-year period was conducted in the PubMed / Medline, Web of Science, Taylor and Francis, Lilacs, Scopus, Humam Kinects and Science Direct databases, to substantiate a systematic literature review on athletes’ resilience. Articles were analyzed based on their methodological characteristics and citation network analysis. In total, 47 articles were identified and the most referenced one was Fletcher and Sarkar (2012), which was followed by Galli and Vealey (2008). The Grounded Theory of Psychological Resilience and Optimal Sport Performance by Fletcher and Sarkar (2012) seems to encompass the basic theoretical elementary aspects to better understand athletes’ resilience, so far. To conclude resilience is an on-going dynamic process based on individual characteristics and interactions with the environment.

The purpose of this study was to (1) verify the correlation between maturation and peripheral perception and (2) to analyse the effect of peripheral perception on the efficiency of tactical behaviour in young soccer players. Fifty-four (U-11, U-13 and U-15) young male soccer players participated in the study. The maturation was evaluated by the Khamis-Roche method, the peripheral perception by a computer-based test in the Mental Test and Training System, and the efficiency of the tactical behaviour by the System of Tactical Assessment in Soccer. Descriptive analysis, Kolmogorov-Smirnov, Spearman bivariate correlation, and multivariate analysis of variance tests were performed. The significance level adopted was p < .05. Correlations have been observed between the percentage of predicted adult height and the performance in peripheral perception. It was also detected that the peripheral perception has an effect on the efficiency of the tactical behaviour in young players. It has been concluded that the maturation of an individual has an association with the peripheral perception, and that it can make players more efficient to perceive the environment and in the execution of fundamental tactical principles of the soccer game.

OBJECTIVE To assess the effect of a 12-hour shift on mood states and sleepiness at the beginning and end of the shift. METHOD Quantitative, cross-sectional and descriptive study.It was conducted with 70 neonatal intensive care unit nurses. The Brunel Mood Scale (BRUMS), Karolinska Sleepiness Scale (KSS), and a socio-demographic profile questionnaire were administered. RESULTS When the KSS and BRUMS scores were compared at the beginning of the shift associations were found with previous sleep quality (p ≤ 0.01), and quality of life (p ≤ 0.05). Statistical significant effects on BRUMS scores were also associated with previous sleep quality, quality of life, liquid ingestion, healthy diet, marital status, and shift work stress. When the beginning and end of the shift were compared, different KSS scores were seen in the group of all nurses and in the night shift one. Significant vigor and fatigue scores were observed within shift groups. CONCLUSION A good night’s sleep has positive effects on the individual`s mood states both at the beginning and the end of the shift. The self-perception of a good quality of life also positively influenced KSS and BRUMS scores at the beginning and end of the shift. Proper liquid ingestion led to better KSS and BRUMS scores.

Are motivation and overtraining reliable predictors of burnout in male professional soccer athletes over the course of the season? To answer this question, 32 Brazilian athletes from the same team (age: 24.16 ± 4.58 years) participated in this study and completed the following questionnaires during different periods of the season (n = 1 baseline, n = 2 preparatory, and n = 5 competitive): the Sport Motivation Scale (SMS I), the Recovery-Stress Questionnaire for Athletes (RESTQ-Sport 76), and the Athlete Burnout Questionnaire (ABQ). The results indicated positive and negative as well as moderate and strong associations among the dimensions of motivation, overtraining and burnout. Regression analysis was used to estimate three models during the season (baseline/preparatory, baseline/competitive, and preparatory/competitive). Model 1 showed that the amotivation dimension predicts emotional and physical exhaustion (SEE = 0.39; p = 0.001; $R_{\mathrm{a}\mathrm{d}\mathrm{j}\mathrm{u}\mathrm{s}\mathrm{t}\mathrm{e}\mathrm{d}}^2$ = 0.38) and total burnout (SEE = 0.25; p = 0.001; $R_{\mathrm{a}\mathrm{d}\mathrm{j}\mathrm{u}\mathrm{s}\mathrm{t}\mathrm{e}\mathrm{d}}^2$ = 0.32). Model 2 indicated that amotivation predicts emotional and physical exhaustion (SEE = 0.32; p = 0.002; $R_{\mathrm{a}\mathrm{d}\mathrm{j}\mathrm{u}\mathrm{s}\mathrm{t}\mathrm{e}\mathrm{d}}^2$ = 0.24) and total burnout (SEE = 0.40; p = 0.001; $R_{\mathrm{a}\mathrm{d}\mathrm{j}\mathrm{u}\mathrm{s}\mathrm{t}\mathrm{e}\mathrm{d}}^2$ = 0.35). Model 3 evidenced that amotivation and sport-specific stress predict emotional and physical exhaustion (SEE = 0.19; p = 0.001; $R_{\mathrm{a}\mathrm{d}\mathrm{j}\mathrm{u}\mathrm{s}\mathrm{t}\mathrm{e}\mathrm{d}}^2$ = 0.73) and total burnout (SEE = 0.27; p = 0.001; $R_{\mathrm{a}\mathrm{d}\mathrm{j}\mathrm{u}\mathrm{s}\mathrm{t}\mathrm{e}\mathrm{d}}^2$ = 0.72). In conclusion, it was verified that the dimensions of amotivation and sport-specific stress are effective markers to predict burnout in the preparatory and competitive periods.