ORIGINAL RESEARCH article
Mood, Burnout, and Dispositional Optimism in Kayak Polo Players During Their Competitive Stage
- 1Faculty of Sport Science, Sport and Physical Activity, CEI Mare Nostrum, University of Murcia, San Javier, Spain
- 2Faculty of Psychology, Basic Psychology and Methodology, CEI Mare Nostrum, University of Murcia, Murcia, Spain
The main objective of performance sport is to obtain achievements at the highest level through the adequate development of the athlete. The scientific literature demonstrates the fundamental role played by the inclusion of certain psychological variables in the training plan. This study examined the psychological profile of kayak polo players through the variables of burnout, optimism, and mood in the hours prior to the competition, relating these to each other and to some sociodemographic data. A sample of 86 canoeists, 60 men (69.8%) and 26 women (30.2%), with an age measurement of 24.4 ± 9.1 years belonging to the first male and female kayak polo division, completed the POMS-29, the LOT-R, and the IBD-R. Athletes' levels of optimism were found to be significantly correlated with mood. Optimism also influenced emotional exhaustion. In addition, seniority and internationality were decisive factors in the level of optimism and mood achieved.
High-level competitive sport is understood as a sport whose aim is for athletes to perform at their best. However, reaching the peak of an athlete's performance and maintaining it at the highest level for as long as possible is not an easy task, since, in addition to taking into consideration physical, technical, tactical, and strategic resources, it is necessary to introduce psychological variables into the formula for sporting success (Gould and Maynard, 2009; Mauss and Robinson, 2009; Barker et al., 2020). Many specialists conclude that competitive sport involves the intervention and inherent control of aspects such as motivation, attention, stress, anxiety, self-confidence, moods, self-control and self-regulation, cohesion, interpersonal skills, or emotional adjustment (Meyers et al., 1979; Garcia Quinteiro et al., 2006; Gimeno et al., 2007; Almagro et al., 2020).
Mastering and correctly training all these variables can contribute to the optimization of sporting performance, increasing the possibilities of improving results, and at the same time ensuring continuity in competitive sport for a prolonged period of time. In this sense, in order to find out the optimal relationship between the different psychological variables and their consequent positive effect on sporting results, numerous studies have focused their research on the analysis of these variables, sporting experiences, and the success achieved in the results (Kreinerphillips and Orlick, 1993; Vernacchia et al., 2000; Gould et al., 2002).
It is necessary to be meticulous with the training work carried out by athletes, in view of the fact that sports practice, in the first instance, is associated with pleasant effects for most of them. However, working with high training loads and the competition itself can lead to a situation of chronic stress, which eventually results in the need for abandonment (Gustafsson et al., 2008, 2018). Intense and prolonged sporting efforts, accompanied by sporting failures, may be susceptible to sport dropout (Lemyre et al., 2008). Not achieving the expected results or not reaching the proposed objectives leads athletes to a situation of exhaustion, both physically and psychologically, giving rise to negative thoughts about their abilities to practice the sport (Raglin, 2001).
Having established the above provisions, it is therefore easy to conclude that, in the competitive field, it is necessary to carry out a psychological evaluation of the athlete, in order to be able to establish an objective and individualized assessment of the variables that may be most influential in each case. To this end, analytical tools such as questionnaires are required, which, together with other elements and instruments for recording and collecting data, can provide valuable and decisive information for the training of the athlete, as well as for their training for competition (Gimeno et al., 2007). In line with what has been described, the literature on the analysis of psychological variables, as well as the variety and typology of questionnaires for such analysis, is extensive (López Roel and Dosil, 2019); this has undergone a significant evolution in recent decades, from the use of more generic measurement instruments to the development and use of more specific instruments for sports (Biddle, 1992; Hall et al., 1998; Anshel and Sutarso, 2007; Fayos Ruiz et al., 2012; Andrade et al., 2013; Cano-García et al., 2015).
Having described the statements in the previous paragraphs, it is necessary to specify that taking into account the burnout of the athlete as a result of training overload is to consider a multidimensional phenomenon where different factors come into play, such as emotional and physical fatigue, decreased achievement, and sport devaluation (Goodger et al., 2007a; Reche et al., 2018). Early studies on burnout defined the concept within the framework of feelings of failure and exhaustion in the face of excessive demands on energy, strength, and personal resources (Carlin and Garcés de los Fayos Ruiz, 2010). Other works highlighted emotional exhaustion, depersonalization, and low self-fulfillment (Jackson and Maslach, 1982; Byrne, 1993).
Furthermore, other researchers added that, in sports, the hours of training and the competition itself could be a source of chronic psychological stress, which was significantly related to the risk of burnout and abandonment of sports practice (Hall et al., 1998; Hill et al., 2010). This abandonment is qualified in certain studies as one of the most worrying effects of the syndrome for professional athletes (García-Parra et al., 2016), not only because of the psychological consequences but also because of the social consequences, which may involve a questioning of the identity acquired during their time as athletes (Coakley, 1992; Goodger et al., 2007a). Along these lines, athletes experiencing burnout have common characteristics, but the symptoms manifested may be completely different (Gustafsson et al., 2018). This highlights the need to develop analysis strategies through tools that allow personalizing and professionally treating athletes with individualized work plans.
In the context of sport, there are four fundamental lines of work in burnout research. First, the identification of predictor variables. Second, work aimed at analyzing the consequences of suffering from the syndrome. As a third line of research, the authors point to the development of models that help to better understand the syndrome. Finally, there is a line of research that collects epidemiological data allowing us to analyze the incidence of this syndrome in the context of sport (Carlin and Garcés de los Fayos Ruiz, 2010; García-Parra et al., 2016).
Thus, in the last decade, numerous studies can be found in which the authors measure burnout syndrome in different collective sports modalities such as football (Lopes Verardi et al., 2015), rugby (Cresswell and Eklund, 2005, 2006), and volleyball (Vieira et al., 2013). On the other hand, research on burnout in individual sports such as athletics (Reche et al., 2018), swimming (Larson et al., 2019), tennis and table tennis (Goodger et al., 2007b; Martinent et al., 2014, 2020), or olympic wrestling (Gil et al., 2015) stand out.
The scientific literature provides information on the relationship between the dimensions of burnout syndrome and a more or less optimistic profile (Chen et al., 2008; García et al., 2014; Gil et al., 2015). Throughout their lives, human beings face a wide variety of situations, solving them with very different attitudes and actions. In this sense, the existence of two very different styles of resolution, optimistic and pessimistic, is postulated through the theory of explanatory patterns, where people give explanations to the events that happen to them (Abramson et al., 1978; Herzberg et al., 2006). In contrast, other researches defend another perspective, through dispositional theory, defined as the stable expectation or belief that positive things will happen in life, known as dispositional optimism (Scheier and Carver, 1987; Andersson, 2012).
Optimism is a cognitive construct related to motivation that reflects the degree to which people have generalized favorable expectations for their future. Higher levels of optimism have been prospectively related to better subjective well-being in times of adversity or hardship (Carver et al., 2010). The study of optimism was largely initiated in health contexts, finding positive associations between optimism and markers of better physical and psychological health. More recently, the scientific study of optimism shows that optimists have better social connections (Brissette et al., 2002; Carver and Scheier, 2014).
In line with what has been established, certain studies on sport confirm that optimism is negatively related to all the dimensions of burnout, so that as optimism increases, the scores in the different dimensions of burnout decrease. On the other hand, optimism is presented as a variable associated mainly with regular, continuous, and regulated sports practice, since the highest scores are found in older, federated athletes who compete and spend more hours per week and years of dedication to sports practice (Andersson, 1996; Gould et al., 2002; García et al., 2014).
In this line, there have been numerous investigations developed in recent years in relation to collective sports concerning optimism in the disciplines of football (Chirivella et al., 2013), basketball (Gordon, 2008), and handball (Ortin-Montero et al., 2013) among other sports modalities. They have also been developed in relation to individual sports, in disciplines such as tennis (Gustafsson and Skoog, 2012), swimming (Norlander and Archer, 2002), or athletics (Vaamonde, 2018).
Athlete's State of Mind
Having defined the variables of burnout and dispositional optimism, it is necessary to qualify that both can influence the mood with which people face different situations (Remor et al., 2006; Kim et al., 2009; Grobbelaar et al., 2010; Remor and Gómez, 2013; Sánchez-Hernández et al., 2014). Scientific evidence suggests that optimism can protect health at times of increased stress by influencing mood (Brydon et al., 2009). Precisely in relation to mood, it can be stated that a person suffering burnout syndrome is apathetic, easily irritable, with low frustration tolerance, and recurrent thoughts of incompetence. This can lead to absenteeism, the onset of addictive behaviors, and it can affect the social aspect by generating susceptibility to interpersonal contact. It is highly probable that, as a consequence, a person with burnout syndrome becomes socially isolated, as a functional interpersonal strategy, possibly facilitating the presence of mood and anxiety disorders, which could undoubtedly affect not only their work performance and development but also their personal development (Schaufeli et al., 1993).
In physical sporting activity, the emotional component acquires a multidimensional nature. Its study, knowledge, and treatment allow us to obtain a better approach to the reality of the athlete and to improve both their assessment and the design of appropriate training strategies. The athlete, throughout his activity and sporting life, presents different states, each of which is the result of various factors or variables. In the relationship between mood and performance in sport, one of the most relevant results in the sport psychology field refers to the perceptions that athletes have about their own moods, which can somehow influence their performance (Arce Fernández et al., 2000; de la Vega Marcos et al., 2008; Antonio Arruza et al., 2011). The importance of knowing the level of stability of moods lies in the need to offer specific guidelines to the professional in charge of achieving the maximum performance of the athlete, allowing him/her, first, to predict where more complications may arise in the competitive coping of sport and, second, to be able to intervene in order to optimize and benefit the athlete's performance (Hassmen and Blomstrand, 1995; Rietjens et al., 2005).
In the same way as for the variables of burnout and dispositional optimism, in the literature, there are multiple investigations carried out through measurement tools for the analysis of moods of athletes in collective disciplines such as basketball (Henderson et al., 1998; Hoffman et al., 1999) and football (Andrade et al., 2008; Saidi et al., 2020) or individual disciplines such as swimming (Santhiago et al., 2011) and cycling (Viana et al., 2016), among others. Hence, researching burnout, optimism, and moods together may be of interest, insofar as there are studies of these variables paired or separately, but not all three together, for the purpose of developing a psychological profile of the athlete as appropriate as possible and planning the work according to the demands of the training loads or even the competition itself.
Effects of Psychological Variables in Kayak Polo
Canoeing is a water sport in continuous evolution as a result of the emergence of new disciplines and modalities adapted to the originated demand, forcing to establish, in the field of competition, new methods and training systems, sensitive to the progress of research in the field (Zarodnyuk et al., 2019). These disciplines are mostly of an individual nature, although there are also those of a collective nature. Competitions, as a general rule, take place over several days, since it is common for many athletes to participate in more than one category (individual K1/C1, and in team boats, K2–K4/C2–C4) causing a greater workload and possible stress on the athlete. Specifically, kayak polo, as the only collective discipline of canoeing where several individual boats take part at the same time in the same team, also often presents competition systems by means of gatherings, tournaments, or scoring days of several matches, where the demands are high.
Taking into account the inequality of disciplines, as well as the typology of efforts in competition, canoeing can be classified as an endurance sport, in which good aerobic capacity, aerobic efficiency at the anaerobic threshold, and lactic anaerobic capacity, especially lactate tolerance, are required to obtain a good performance (Fry and Morton, 1991; Faina et al., 1997). Therefore, canoeing is a sport where strength and endurance are developed together to optimize the athlete's performance (Bishop et al., 2002; Garcia-Pallares et al., 2009), factors that entail a greater training load, which can have an impact on the psychological aspect of athletes (Isorna Folgar et al., 2019).
The present study arises from the need to delve a little deeper into kayak polo, a minority sport, since there are few empirical studies carried out with this discipline. The limited number of research studies found deals with anthropometric (Rodrigues Alves et al., 2012), physiological (Rodrigues Alves et al., 2012; Forbes et al., 2013; Sheykhlouvand et al., 2018; Zwingmann et al., 2020), and psychological (Hill et al., 2010) aspects of sport performance. This scarcity of specific studies on psychology in this sport makes it even more interesting to develop studies on the subject. In this sense, the aim of this study is to evaluate the psychological profile of kayak polo players throughout three variables of burnout, dispositional optimism, and mood in the hours prior to a national and international competition, also relating these aspects with some sociodemographic data. The instruments used for this research are the Spanish version of the POMS-29 mood scale (Balaguer et al., 1993), the Spanish version of the Life Orientation Test Revised LOT-R (Cano-García et al., 2015), and the Inventory of Burnout in Athletes Revised IBD-R (Fayos Ruiz et al., 2012).
The analysis of these variables can provide valuable information on trait and state aspects of kayak polo players when facing potential stressful situations, as well as contribute to the planning of future intervention through psychological skill training based on the outcome of the assessments and the establishment of the relationship between the constructs and variables assessed in order to optimize performance.
Materials and Methods
Table 1 shows the descriptive statistics of the sample. The sample was composed of a total of 86 kayak polo players, 69.8% were male and 30.2% female with a mean age of 24.4 ± 9.1 years, who participated in the First Division male and female Spanish league. Regarding the category to which the athlete belonged, 60.5% were seniors, 39.5% were U21, and 44.2% were or had been international players. The majority of the players played in the defensive position of winger (44.2%), followed by the advanced and central positions with 24.4 and 17.4%, respectively. Goalkeeper was the least represented position with 14.0%. Approximately half of the players trained 5 days or more per week (48.8%), followed by those who trained 4 days (22.1%) and 3 days (18.6%). Regarding training hours, 44.2% spent more than 10 h per week and 34.9% trained between 6 and 10 h per week.
The optimism construct was assessed with the Spanish version of the LOT-R questionnaire (Cano-García et al., 2015). The LOT-R is a revision of the Life Orientation Test (Scheier and Carver, 1985), carried out to distinguish optimism from neuroticism (Scheier et al., 1994). In this sense, some authors carried out a psychometric analysis of the revised test, obtaining very similar properties with those of the original version. It is composed of 10 items using a five-point scale, where 0 means “strongly disagree” and 4 means “strongly agree” (Ferrando et al., 2002). Regarding the correctness and interpretation of the test, two options appear: On the one hand, the measurement of each disposition separately, and, on the other hand, the measurement of total optimism by reversing the items written in a negative sense. In this study, we decided to use the second option in line with previous work in the literature (Mroczek et al., 1993; Myers and Steed, 1999).
The data collection was carried out by an online survey using Google Forms. The distribution was carried out by sending an email to the different kayak clubs informing the purpose of the study and with the link to the questionnaire. The clubs that agreed with the study distributed the questionnaire among their athletes. Each athlete responded voluntarily and anonymously. Data collection was conducted before the end of the season between October and November 2016.
The statistical program SPSS v.24.0 (IBM, Armonk, NY, USA) was used for data analysis. Descriptive statistics and correlation analysis of the different items and Cronbach's alpha index (C-a) were calculated. Then, a cluster analysis was carried out to identify possible groups of athletes with similar optimism level, taking as a dependent variable, the item “Optimism.” To obtain the cluster solutions, two methods were combined, hierarchical and non-hierarchical, with the aim of optimizing results. The cluster analyses were carried out using the guidelines proposed for computer programs (Milligan, 1985). The hierarchical cluster was analyzed taking the Ward's method, and for the similarity measures, the Euclidean distance squared was used. Then, a non-hierarchical cluster was done through the K-means method, taking as a reference the centroids of the cluster solutions of the hierarchical method for each period. Chi-square tests for qualitative variables and ANOVA test for quantitative variables were performed (Khalilzadeh and Tasci, 2017). Finally, a MANOVA test was carried out (Chapman, 2018), to analyze the relationship between the psychological variables (optimism, mood state, and burnout) as dependent variables, and the independent variables, if the athletes were a member of national team (yes/no) and the time spent training (<10 h a week/more than 10 h a week). The effect size was calculated according to the guidelines of the literature (Dominguez-Lara, 2018). The significance level was established at a value of p ≤ 0.05.
Descriptive and Correlation Analysis
The general descriptive results of the psychological variables (Table 2) showed that the overall level of optimism of the kayak polo players was moderate (M = 2.76 ± 0.6). The mood state profile indicated that they had high vigor (M = 2.82 ± 0.6), medium levels of tension, fatigue, and anger, and low levels of depression (M = 0.68 ± 0.7). In terms of burnout factors, the players had high values for reduced efficacy (M = 3.83 ± 0.6) and low depersonalization (M = 1.89 ± 0.6). Correlation analysis (Table 2) indicated that optimism alone was statistically significantly related to the mood states of anger and depression and the emotional exhaustion of burnout. Mood states and burnout dimensions correlated significantly with each other on all dimensions except the relation between tension and vigor.
The cluster analysis was determined according to the variable of optimism (Table 3). Cluster 1, labeled “High Optismism,” made up 27.9% of the sample and represented the athletes who showed the high levels of optimism (M = 3.49 ± 0.3). Cluster 2 was designated “Moderate Optimism” because the level of optimism had middle scores (M = 2.71 ± 0.2) shown by athletes, represented 50.0% of the sample; and cluster 3, designated “Lower Optimism,” represented 22.1% of the athletes who showed the lower level of optimism (M = 1.92 ± 0.4). The mood state profile was similar in cluster 1 and cluster 2; they had high scores in vigor, moderate-lower scores in tension, fatigue, and anger, and lower scores in depression. Cluster 3 had a lower level of vigor than the other groups, moderate-high scores in tension, and moderate-lower scores in the other states. Burnout scores were similar in the three groups with high scores in reduced efficacy, moderate scores in emotional exhaustion, and lower scores in depersonalization. ANOVA test showed statistically significant differences in optimism between all groups, depression between cluster 1 “High Optimism” and cluster 3 “Low Optimism,” and emotional exhaustion between cluster 2 “Moderate Optimism” and cluster 3 “Low Optimism” (p ≤ 0.05).
Profile of the Groups
Table 4 shows the sociodemographic profile of the athletes according to the cluster group to which they belong depending on their optimism level. Cluster 1 “High Optimism” were males with an average age of 27.5 ± 10.4 years, who belonged to the senior category; half had been international players for some time and played in the winger defensive position. They went 5 or more days to training in a week and spent between 6 and 10 h of training per week. Cluster 2 “Moderate Optimism” was composed of males with an age of 23.0 ± 8.4 years old, belonged to the Under21 category; the majority two thirds have not been international players, and half plays in winger defensive position. Sports habits indicated that almost half were training 5 or more days a week with more than 10 h of training per week. Finally, cluster 3 “Low Optimism” was made up of males with an average age of 23.6 ± 8.5 years, belonging to the senior category and playing in the position of goalkeeper. Sports habits showed that they trained 5 days or more per week with a training time of more than 10 h per week. There were statistically significant differences in the category and defensive player position variables (p ≤ 0.05), while the effect of the variables was low in category position (V < 0.3) and medium effect in the defensive position (V > 0.3).
MANOVA test (Table 5) showed that the independent variables “National team member” and “Weekly sports practice time” statistically significantly affected the combination of correlated dependent variables of psychological variables of optimism, mood state, and burnout (Pillai's Trace: 0.215, F = 2.25, p ≤ 0.05, = 0.22; Wilks' lambda: 0.785, F = 2.25, p ≤ 0.05, = 0.22). The effects between subjects were statistically significant in optimism (F = 7.03; p ≤ 0.01) and the mood state of anger (F = 4.26; p ≤ 0.05). The parameter estimates between subjects were significant in all variables, such as reduced efficacy (β = 3.66; t = 30.59; p ≤ 0.001; = 0.92), optimism (β = 2.76; t = 23.13; p ≤ 0.001; = 0.87), vigor (β = 2.73; t = 22.02; p ≤ 0.001; = 0.86), emotional exhaustion (β = 2.46; t = 15.64; p ≤ 0.001; = 0.75), depersonalization (β = 2.12; t = 16.61; p ≤ 0.001; = 0.77), tension (β = 1.83; t = 11.50; p ≤ 0.001; = 0.62), fatigue (β = 1.14; t = 6.37; p ≤ 0.001; = 0.33), anger (β = 1.07; t = 5.61; p ≤ 0.001; = 0.28), and depression (β = 0.69; t = 4.62; p ≤ 0.001; = 0.21).
According to the results, the general level of optimism of the kayak polo players was moderate, although the mood profile of the athletes did present a high value with medium levels of tension, fatigue, and anger and low levels of depression. The latter coincides with the findings of some studies, which found low levels of tension, depression, anger, and confusion for football players (Hassmen and Blomstrand, 1995), as well as with others, which found low levels of depression, confusion, and total mood disturbance for female basketball players (Henderson et al., 1998).
Inferential analysis showed that optimism was significantly related to the mood of anger and depression, as well as emotional exhaustion, consistent with findings from other research, where more optimistic individuals had smaller increases in negative mood and less reduction in mental vigor, suggesting the benefit of optimism in coping with potentially stressful situations (Brydon et al., 2009). Furthermore, other research showed that optimism had a significant negative relationship with both stress and burnout, with their mediation analyses indicating that perceived stress fully mediated the links between optimism, symptoms of emotional exhaustion, and sport devaluation, and also mediated the link between the optimism variable and a third symptom, the reduced sense of accomplishment. Thus, individual factors such as optimism may play a key role in the development of burnout by virtue of its association with stress (Gustafsson and Skoog, 2012; Gustafsson et al., 2018).
On the other hand, the correlation between mood and burnout was also significant, except for the relationship between the dimensions of tension and vigor. This was consistent with previous work, where perceived social support was generally associated with a lower degree of emotional exhaustion, whereas negative expectations of mood regulation were negatively correlated with burnout. Furthermore, negative expectations of mood regulation affected burnout more than social support. This finding suggests that burnout can be alleviated by controlling negative expectations of mood regulation through the intervention of training programs to improve such expectations (Kim et al., 2009).
In relation to the three levels of optimism that determined three groups depending on whether it was high, moderate, or lower, the second was the most numerous, with half of the canoeists in this group, followed by the first, although the number of kayak polo players was similar to the group with the lower level of optimism. Precisely, the two groups with moderate and high levels of optimism obtained a similar mood profile, with moderate-low scores in fatigue, as occurred in other previous studies where they showed that mental fatigue had a significant effect on endurance, but not for strength, probably due to the greater prolongation in time in terms of effort in the former compared with the latter, especially in collaborative-opposition sports such as kayak polo. Similarly, these authors showed that fatigue could be influenced by the level of optimism, understanding it as a coping sub-factor along with endurance and strength (Sook, 2018).
However, in addition, for these two groups, the values of tension and anger were also moderate–low, in line with other studies (Gustafsson and Skoog, 2012; Chirivella et al., 2013) and low depression, as occurred with the research carried out by other authors, where a positive relationship was found between optimism and sports performance in football players, concluding that when faced with a defeat, optimistic athletes faced the situation better than pessimists, with the difference in positive or negative optimism not being significant when the result was a victory. Furthermore, these analyses suggested that the negative relationships observed were attributed to negative outcomes due to lack of effort, known as defensive pessimism vs. lack of ability, which was defined as depressive pessimism (Gordon, 2008). The opposite was true for vigor, being the values high for these two groups of higher optimism. The findings obtained could be influenced by the fact that the high optimism group was composed of the most veteran players, half of whom had been international players at some point. This situation was associated with a higher competitive demand in which a higher level of performance is required, in the same way that those with moderate optimism, although less veteran, were also composed of players who had been international players at some point.
On the other hand, the low optimism group had a lower level of vigor, with moderate-high stress scores and a significant difference in the emotional exhaustion variable with respect to the high optimism group, probably because this third group is in backward positions and with purely defensive functions such as the goalkeeper, with a low achievement motivation; these results coincide with those obtained in other studies (Avugos et al., 2020).
The current work provides information regarding the psychological profile of kayak polo players, where from the analysis of the three variables under study, canoeists who presented moderate levels of optimism also presented medium-low values in the different negative factors of mood. Likewise, the findings showed that optimism significantly influenced the emotional exhaustion of the athletes, with the level of stress to which the canoeist could be subjected playing an important role in the adjustment of these two variables. In addition, seniority and experience with international competition proved to be influential factors in the level of optimism achieved, as well as in the moderation of negative moods. These results suggest the importance and need to develop psychological profile training strategies to be incorporated into their work plans. Thus, it would be interesting to carry out future research involving a larger sample size in order to confirm and contrast the findings of the present study, as well as an experimental intervention proposal through a program or work plan for the psychological variables under study.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
The studies involving human participants were reviewed and approved by Comisión de Ética de Investigación–Universidad de Murcia. The patients/participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.
FB-B conceptualized the study. SA and LS-B defined the purpose of the study. SA and FO-M formulated the methodology. SA performed the formal analysis. LS-B performed the data collection and investigation. FO-M, VM-B, and FB-B edited and revised the manuscript. VM-B provided supervision. All authors contributed to the writing of the study and the article and approved the submitted version.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2021.667603/full#supplementary-material
Almagro, B. J., Saenz-Lopez, P., Fierro-Suero, S., and Conde, C. (2020). Perceived performance, intrinsic motivation, and adherence in athletes. Int. J. Environ. Res. Public Health 17:9441. doi: 10.3390/ijerph17249441
Andrade, E., Arce, C., De Francisco, C., Torrado, J., and Garrido, J. (2013). Abbreviated version in spanish of the poms questionnaire for adult athletes and general population. Rev. Psicol. Deporte 22, 95–102.
Anshel, M. H., and Sutarso, T. (2007). Relationships between sources of acute stress and athletes' coping style in competitive sport as a function of gender. Psychol. Sport Exerc. 8, 1–24. doi: 10.1016/j.psychsport.2006.01.003
Antonio Arruza, J., Arribas, S., Otaegi, O., Gonzalez, O., Irazusta, S., and Miguel Ruiz, L. (2011). Perception of competence, mood state and stress tolerance in young high performance athletes. Ann. Psicol. 27, 536–543.
Balaguer, I., Fuentes, I., Meliá, J. L., García-Merita, M. L., and Pérez, G. (1993). El Perfil de los Estados de Ánimo (POMS): baremo para estudiantes valencianos y su aplicación en el contexto deportivo. Rev. Psicol. Deporte 4, 39–52.
Barker, J. B., Slater, M. J., Pugh, G., Mellalieu, S. D., McCarthy, P. J., Jones, M. V., et al. (2020). The effectiveness of psychological skills training and behavioral interventions in sport using single-case designs: a meta regression analysis of the peer-reviewed studies. Psychol. Sport Exerc. 51:101746. doi: 10.1016/j.psychsport.2020.101746
Bishop, D., Bonetti, D., and Dawson, B. (2002). The influence of pacing strategy on VO2 and supramaximal kayak performance. Med. Sci. Sports Exerc. 34, 1041–1047. doi: 10.1097/00005768-200206000-00022
Brissette, I., Scheier, M. F., and Carver, C. S. (2002). The role of optimism in social network development, coping, and psychological adjustment during a life transition. J. Pers. Soc. Psychol. 82, 102–111. doi: 10.1037/0022-35220.127.116.11
Brydon, L., Walker, C., Wawrzyniak, A. J., Chart, H., and Steptoe, A. (2009). Dispositional optimism and stress-induced changes in immunity and negative mood. Brain Behav. Immun. 23, 810–816. doi: 10.1016/j.bbi.2009.02.018
Byrne, B. M. (1993). The maslach burnout inventory: testing for factorial validity and invariance across elementary, intermediate, and secondary teachers. J. Occup. Organ. Psychol. 66, 197–212. doi: 10.1111/j.2044-8325.1993.tb00532.x
Cano-García, F. J., Sanduvete-Chaves, S., Chacón-Moscoso, S., Rodríguez-Franco, L., García-Martínez, J., Antuña-Bellerín, M. A., et al. (2015). Factor structure of the Spanish version of the Life Orientation Test-Revised (LOT-R): testing several models. Int. J. Clin. Health Psychol. 15, 139–148. doi: 10.1016/j.ijchp.2015.01.003
de la Vega Marcos, R., Ruiz Barquin, R., Garcia-Mas, A., Balague, G., Olmedilla Zafra, A., and del Valle Diaz, S. (2008). Consistency and fluctuation of mood states in a professional football team during a play-off. Rev. Psicol. Deporte 17, 241–251.
Faina, M., Billat, V., Squadrone, R., DeAngelis, M., Koralsztein, J. P., and DalMonte, A. (1997). Anaerobic contribution to the time to exhaustion at the minimal exercise intensity at which maximal oxygen uptake occurs in elite cyclists, kayakists and swimmers. Eur. J. Appl. Physiol. Occup. Physiol. 76, 13–20. doi: 10.1007/s004210050207
Forbes, S. C., Kennedy, M. D., and Bell, G. J. (2013). Time motion analysis, heart rate, and physiological characteristics of international canoe polo athletes. J. Strength Cond. Res. 27, 2816–2822. doi: 10.1519/JSC.0b013e318280d2a2
Garcia-Pallares, J., Sanchez-Medina, L., Carrasco, L., Diaz, A., and Izquierdo, M. (2009). Endurance and neuromuscular changes in world-class level kayakers during a periodized training cycle. Eur. J. Appl. Physiol. 106, 629–638. doi: 10.1007/s00421-009-1061-2
Gimeno, F., Buceta, J. M., and Perez-Llantada, C. (2007). The influence of psychological variables on sports performance: assessment with the questionnaire of sports performance-related psychological characteristics. Psicothema 19, 667–672.
Grobbelaar, H. W., Malan, D. D. J., Steyn, B. J. M., and Ellis, S. M. (2010). Factors affecting the recovery stress, burnout, and mood state scores of elite student rugby players. S. Afr. J. Res. Sport Phys. Educ. Recreat. 32, 41–54. doi: 10.4314/sajrs.v32i2.59296
Gustafsson, H., Martinent, G., Isoard-Gautheur, S., Hassmen, P., and Guillet-Descas, E. (2018). Performance based self-esteem and athlete identity in athlete burnout: a person centered approach. Psychol. Sport Exerc. 38, 56–60. doi: 10.1016/j.psychsport.2018.05.017
Gustafsson, H., and Skoog, T. (2012). The mediational role of perceived stress in the relation between optimism and burnout in competitive athletes. Anxiety Stress Coping 25, 183–199. doi: 10.1080/10615806.2011.594045
Hall, H. K., Kerr, A. W., and Matthews, J. (1998). Precompetitive anxiety in sport: the contribution of achievement goals and perfectionism. J. Sport Exerc. Psychol. 20, 194–217. doi: 10.1123/jsep.20.2.194
Henderson, J., Bourgeois, A. E., LeUnes, A., and Meyers, M. C. (1998). Group cohesiveness, mood disturbance, and stress in female basketball players. Small Group Res. 29, 212–225. doi: 10.1177/1046496498292004
Herzberg, P. Y., Glaesmer, H., and Hoyer, J. (2006). Separating optimism and pessimism: a robust psychometric analysis of the revised Life Orientation Test (LOT-R). Psychol. Assess. 18, 433–438. doi: 10.1037/1040-3518.104.22.1683
Hill, A. P., Hall, H. K., Appleton, P. R., and Murray, J. J. (2010). Perfectionism and burnout in canoe polo and kayak slalom athletes: the mediating influence of validation and growth-seeking. Sport Psychol. 24, 16–34. doi: 10.1123/tsp.24.1.16
Isorna Folgar, M., Vazquez Figueiredo, M. J., Perez Saborido, I., Alias Garcia, A., and Vaquero Cristobal, R. (2019). Burnout syndrome among spanish high-level paddlers: prevalence based on sociodemographic and sport practice variables. Psychol. Soc. Educ. 11, 83–97. doi: 10.25115/psye.v11i1.2070
Khalilzadeh, J., and Tasci, A. D. A. (2017). Large sample size, significance level, and the effect size: solutions to perils of using big data for academic research. Tour. Manag. 62, 89–96. doi: 10.1016/j.tourman.2017.03.026
Kim, M. Y., Lee, J. Y., and Kim, J. (2009). Relationships among burnout, social support, and negative mood regulation expectancies of elementary school teachers in Korea. Asia Pac. Educ. Rev. 10, 475–482. doi: 10.1007/s12564-009-9045-9
Larson, H. K., Young, B. W., McHugh, T. L. F., and Rodgers, W. M. (2019). Markers of early epecialization and their relationships with burnout and dropout in swimming. J. Sport Exerc. Psychol. 41, 46–54. doi: 10.1123/jsep.2018-0305
Lopes Verardi, C. E., Nagamine, K. K., Micelli Domingos, N. A., De Marco, A., and Cristina De Oliveira Santos Miyazaki, M. (2015). Burnout and pre-competition: a study of its occurrence in brazilian soccer players. Rev. Psicol. Deporte 24, 259–264.
Martinent, G., Decret, J.-C., Guillet-Descas, E., and Isoard-Gautheur, S. (2014). A reciprocal effects model of the temporal ordering of motivation and burnout among youth table tennis players in intensive training settings. J. Sports Sci. 32, 1648–1658. doi: 10.1080/02640414.2014.912757
Martinent, G., Louvet, B., and Decret, J.-C. (2020). Longitudinal trajectories of athlete burnout among young table tennis players: a 3-wave study. J. Sport Health Sci. 9, 367–375. doi: 10.1016/j.jshs.2016.09.003
Mroczek, D. K., Spiro, A., Aldwin, C. M., Ozer, D. J., and Bosse, R. (1993). Construct validation of optimism and pessimism in older men: findings from the normative aging study. Health Psychol. 12, 406–409. doi: 10.1037/0278-622.214.171.1246
Myers, L. B., and Steed, L. (1999). The relationship between dispositional optimism, dispositional pessimism, repressive coping and trail anxiety. Pers. Individ. Dif. 27, 1261–1272. doi: 10.1016/S0191-8869(99)00071-9
Norlander, T., and Archer, T. (2002). Predicting performance in ski and swim championships: effectiveness of mood, perceived exertion, and dispositional optimism. Percept. Mot. Skills 94, 153–164. doi: 10.2466/pms.2002.94.1.153
Ortin-Montero, F. J., De-la-Vega, R., and Gosalvez-Botella, J. (2013). Optimism, anxiety state, and self-confidence in young players of handball. Ann. Psicol. 29, 637–641. doi: 10.6018/analesps.29.3.175751
Reche, C., De Francisco, C., Martinez-Rodriguez, A., and Ros-Martinez, A. (2018). Relationship among sociodemographic and sport variables, exercise dependence, and burnout: a preliminary study in athletes. Ann. Psicol. 34, 398–404. doi: 10.6018/analesps.34.2.289861
Remor, E., and Gómez, M. A. (2013). Effect of an intervention program aimed at empowering strengths and psychological resources on mood, optimism, subjective health complaints, and life satisfaction in university students. Colomb. Act Psychol. 15, 75–85.
Rietjens, G., Kuipers, H., Adam, J. J., Saris, W. H. M., van Breda, E., van Hamont, D., et al. (2005). Physiological, biochemical, and psychological markers of strenuous training-induced fatigue. Int. J. Sports Med. 26, 16–26. doi: 10.1055/s-2004-817914
Rodrigues Alves, C. R., Pasqua, L., Artioli, G. G., Roschel, H., Solis, M., Tobias, G., et al. (2012). Anthropometric, physiological, performance, and nutritional profile of the Brazil National Canoe Polo Team. J. Sports Sci. 30, 305–311. doi: 10.1080/02640414.2011.638086
Saidi, K., Ben Abderrahman, A., Boullosa, D., Dupont, G., Hackney, A. C., Bideau, B., et al. (2020). The interplay between plasma hormonal concentrations, physical fitness, workload, and mood state changes to periods of congested match play in professional soccer players. Front. Physiol. 11:835. doi: 10.3389/fphys.2020.00835
Sánchez-Hernández, O., Méndez, F. X., and Garber, J. (2014). Prevention of depression in children and adolescents: review and reflection. Rev. Psicopatol. Psicol. Clin. 19, 63–76. doi: 10.5944/rppc.vol.19.num.1.2014.12983
Santhiago, V., Da Silva, A. S. R., Papoti, M., and Gobatto, C. A. (2011). Effects of 14 week swimming training program on the hormonal and psychological parameters of elite women athletes. J. Strength Cond. Res. 25, 825–832. doi: 10.1519/JSC.0b013e3181c69996
Schaufeli, W. B., Enzmann, D., and Girault, N. (1993).” Measurement of burnout: a review,” in Professional Burnout: Recent Developments in Theory and Research, eds W. B. Schaufeli, C. Maslach, and T. Marek (Milton Park: Taylor and Francis), 199–215. doi: 10.4324/9781315227979-16
Scheier, M. F., and Carver, C. S. (1987). Dispositional optimism and physical well-being: the influence of generalized outcome expectancies on health. J. Pers. 55, 169–210. doi: 10.1111/j.1467-6494.1987.tb00434.x
Scheier, M. F., Carver, C. S., and Bridges, M. W. (1994). Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): a reevaluation of the life orientation test. J. Pers. Soc. Psychol. 67, 1063–1078. doi: 10.1037/0022-35126.96.36.1993
Sheykhlouvand, M., Khalili, E., Gharaat, M., Arazi, H., Khalafi, M., and Tarverdizadeh, B. (2018). Practical model of low volume paddling based sprint interval training imporves aerobic and anaerobic performances in proffesional female canoe polo athletes. J. Strength Cond. Res. 32, 2375–2382. doi: 10.1519/JSC.0000000000002152
Sook, P. K. (2018). The influence that the fatigue degree of the golfer in the university affects to overcoming force of Player life. Korean Soc. Sports Sci. 27, 207–216. doi: 10.35159/kjss.2018.12.27.6.207
Viana, B. F., Pires, F. O., Inoue, A., Micklewright, D., and Santos, T. M. (2016). Correlates of mood and RPE during multi-lap off-road cycling. Appl. Psychophysiol. Biofeedback 41, 1–7. doi: 10.1007/s10484-015-9305-x
Vieira, L. F., Carruzo, N. M., Aizava, P. V. S., and Rigoni, P. A. G. (2013). Analysis of burnout syndrome and coping strategies in brazilian athletes beach volleyball. Br. J. Phys. Educ. Sport 27, 269–276. doi: 10.1590/S1807-55092013005000012
Zarodnyuk, G. V., Kovalenko, A. I., and Grigoryev, V. I. (2019). Russian kayak padling teams' pre-olympic trai nings systems: history and progress staging analysis. Theory Pract. Phys. Educ. 2019, 7–9.
Keywords: psychological variables, sport performance, training, IBD-R, LOT-R, POMS, kayak
Citation: Angosto S, Salmerón-Baños L, Ortín-Montero FJ, Morales-Baños V and Borrego-Balsalobre FJ (2021) Mood, Burnout, and Dispositional Optimism in Kayak Polo Players During Their Competitive Stage. Front. Psychol. 12:667603. doi: 10.3389/fpsyg.2021.667603
Received: 13 February 2021; Accepted: 09 April 2021;
Published: 21 May 2021.
Edited by:Marianna Alesi, University of Palermo, Italy
Reviewed by:Maria Jose Martinez-Patiño, University of Vigo, Spain
Vicente Gambau, University of A Coruña, Spain
Copyright © 2021 Angosto, Salmerón-Baños, Ortín-Montero, Morales-Baños and Borrego-Balsalobre. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.