The study had the goal to study the relationship between resilience, stress and injuries in the sport context. Eight female athletes, part of the Rhythmic Gymnastics Brazilian Team along the Olympic Cycle 2015–2016 participated in the study, with a mean age of 20.4±2.5 years. The following instruments were used: RESTQ-76 Sport, CD-RISC 10, documental analysis of physical therapy records, and structured questionnaire. Data was analyzed by descriptive statistics (frequency, mean and standard deviation); Repeated Measured ANOVA with Bonferroni’s post-hoc, Student’s “t” test, Friedman test, Pearson Correlation Coefficient, Cohen’s d, and inductive thematic analysis. We found relatively stable levels of stress and recovery across the season; total recovery levels were higher than stress at all four measured timepoints (p<0.05); All athletes had at least one injury, with a total of 14 injuries; No significant correlations were found between the quantitative scores of resilience, stress and recovery; Training and the sport’s scoring system were the most relevant perceived stressors; athletes presented meta-cognition and a non-positive evaluation (neutral) of stressors; Social support was considered the main psychological factor for the resilience process; such process resulted in improved control and interpretation of emotions; Our hypothesized model proposes that, in the relationship between stress and injuries, resilience acts by optimizing the injury recovery process. It was concluded that resilience plays a role in the process of injury rehabilitation and stress control in elite rhythmic gymnastics’ athletes.

Introduction: Resilience is a positive psychological characteristic that reflects an individual's capacity to better perceive, deal with, and overcome adversity; the sports environment is replete with adversities, which increase athletes' stress levels and may lead to undesirable outcomes. Objective: To analyze the impact of resilience levels on stress and recovery in athletes. Methods: Subjects were 150 athletes (aged 22.46 ± 5.97) of both sexes (92 men and 58 women) who competed in the 2012 Paraná Open Games in different sports (107 in team and 43 in individual sports). Instruments were the Recovery-Stress Questionnaire (RESTQ-76 Sport) and a resilience questionnaire (CD-RISC-10). The following tests were used for data analysis: Kolmogorov-Smirnov normality test, Spearman Correlation Coefficient and Structural Equation Modelling (SEM). Results: The model significantly explained stress and recovery variability in 20% and 22%, respectively; age-predicted resilience was 11%; the model invariance test indicated a significant influence of sex and type of sport (multi-group analysis). Conclusion: Resilience plays an essential role in coping with and recovering from stress in competitive sports contexts, which is considered a determinant of success. Level of Evidence II; Retrospective study.

Cross-cultural adaptation and psychometric properties of the Brazilian coach-athlete relationship questionnaire (CART-Q) - Athlete Version

Flow is a mental state characterized by total immersion and focus in an activity; performing it pleasurably. Such a state is considered optimal for performance. The present study analyzed the relationship between dispositional flow and performance in triathletes. The sample consisted of 328 athletes (294 males and 34 females; mean age of 37.42 ± 7.18 years) competing in the Ironman Brazil – Florianópolis – South American Championship 2017. Instruments were an identification sheet, the Dispositional Flow Scale (DFS-2) and athletes’ total race times. Data were analyzed using R, through the Shapiro–Wilk normality test, Mann–Whitney’s U, Spearman Correlation, and Network Analysis [Least Absolute Shrinkage and Selection Operator (LASSO)], using strength, closeness, and betweenness as centrality measurements. Results show a positive correlation between age and practice time (r = 0.34), inverse relationship between practice time and total race time (r = −0.25), and inverse correlations between race time and 05 of the 09 flow dimensions (r between −0.17 and −0.11), suggesting better performances were related to more practice time and higher disposition to flow. Flow conditions, flow characteristics, individual characteristics, and performance were separately grouped in the network structure. Challenge–skill balance was the most influential node, with the highest closeness and betweenness values; challenge–skill balance, clear goals, control, and action-awareness merge directly influenced better race times. Sample’s top 50 performers had significantly higher disposition to challenge-skill balance, clear goals, control and feedback. Practical implications of flow mechanisms are discussed. Dispositional flow was positively related to objective performance in Brazilian triathletes.

This study investigated the psychometric properties of the Dispositional Hope Scale (DHS) for the Brazilian sport context. The sample for construct validity consisted of 474 athletes; internal validity was assessed with 101 athletes; and external validity was tested in 81 athletes, from which, were 55 had further participated in the temporal stability assessment. Data analysis was conducted through the following tests: Cronbach's alpha, Composite Reliability (CR), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), Spearman Correlation Coefficient and intraclass correlation. Results had shown that the DHS presents satisfactory internal consistency (.79 .83; .58 r .75). The EFA model revealed a two-factor solution to be the most adequate, while CFA confirmed such model ((2)= 59.88; p< .001; (2)/df = 3.15; CFI = .90; AGFI = .94; TLI = .90; RMSEA = .07 CI [.05, .08]). The hope dimensions were positively correlated with Self-esteem (r > .50). Temporal stability was achieved (ICC > .70). It was concluded that the DHS is a valid measure for the assessment of hope in Brazilian sports context; this instrument has potential practical applications for professionals working with Sport Psychology.

Esta pesquisa teve como objetivo analisar a relação entre paixão, resiliência e desempenho em triatletas. A amostra foi composta por 78 atletas do sexo masculino ( idade = 36,97 ± 10,29 anos), participantes de duas competições de nível nacional realizadas em 2018. Como instrumentos, utilizou-se uma ficha de dados de identificação, a Escala da Paixão (PS) e a Escala de Resiliência de Connor-Davidson de 10 itens (CD-RISC-10). O desempenho dos atletas foi medido pelo tempo total na prova. A análise de dados foi realizada por meio do software R (versão 3.6.3), utilizando-se dos testes de Shapiro-Wilk, Wilcoxox, U de Mann-Whitney, coeficiente de correlação de Spearman e Regressão Logística Binomial, com nível de significância p