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Introduction
Elite sports play a significant role in societies worldwide, contributing to the promotion of sports engagement. Despite the potential risks to physical and mental health, the existence of elite sports is deemed necessary due to the positive impact it has on contemporary societies (González-Carballido & Ordoqui, 2023).
In Cuban society, sports are recognized as integral to personal development and the cultivation of values such as teamwork, discipline, perseverance, and competitiveness (Carter, 2009). Additionally, sports serve as a powerful tool for promoting public health and well-being, playing a crucial role in disease prevention and the maintenance of a healthy lifestyle. The remarkable achievements of Cuban athletes have fostered a sense of celebration and admiration nationwide, contributing to a strong sense of unity and social cohesion. To ensure the sustainable growth of elite sports in Cuba, it is essential to understand key factors such as sports infrastructure, the exceptional training of coaches, and the institutional support provided to athletes. Moreover, active participation in sports continues to be encouraged, with a particular emphasis on promoting female involvement, which enhances opportunities for access, professional development, and empowerment (Huish et al., 2013).
In the field of athletics, there has been a growing interest in studies linking psychological variables to physical performance in recent years (Berenguí & Castejón, 2021; Casado et al., 2014). For instance, (Montoya et al., 2020) investigated the relationship between self-efficacy, mood, and performance in throwing athletes, finding significant correlations between self-efficacy and tension (r = -.479, p = 0.045), selfefficacy and vigor (r = .322, p = 0.192), and self-efficacy and fatigue (r = -.442, p = 0.66), with only the tension correlation being statistically significant. Despite studies linking psychological variables to athletic performance in elite athletics, there is a scarcity of research explaining this relationship in specific performance control tasks or training loads during workouts.
In athletics, various methods are used to assess performance (Jiménez-Reyes et al., 2011; Portuondo et al., 2022), with one of the most commonly employed being jump testing, particularly the countermovement jump (CMJ) test, which is strongly associated with athletes' sports performance and is used as a method to control training load (Claudino et al., 2012) and identify sporting talent (Fry et al., 2006; Gabbett et al., 2007; Petridis et al., 2019).
In this context, the use of mental strategies before jump execution has been studied. Feltz (1982) demonstrated that self-efficacy was a significant predictor of the outcome of the first of four jump attempts, and subsequent attempts were influenced by previous results. Edwards et al. (2008) examined the positive effects of instructive and motivational internal dialogue on the displacement of the center of mass and hip kinematics during vertical jumping in male rugby players. However, there have been limited investigations regarding the relationship between mood, self-efficacy, and vertical jumping as a method of monitoring training load in elite track and field athletes (Lochbaum et al., 2021).
Thus, sports in Cuba continue to be a crucial component of health and education initiatives, with a continued focus on sports development as a national priority. Over the years, Cuba has achieved international excellence in various sports disciplines, garnering numerous successes and accolades. Athletics, in particular, stands out as a prominent sport at the international level, as evidenced by the recently concluded Central American Games held in San Salvador. The objective of this study was to provide a descriptive analysis of the sports profile of the Cuban athletics pre-selection based on performance and psychological variables.
Materials and Methods
This study employed a quantitative approach and utilized a cross-sectional and descriptive study design.
Participants
The sample comprised 20 individuals from the Cuban national athletics team. The study was conducted during the national pre-selection phase in November 2018. The inclusion criteria required participants to be free of lower limb injuries in the past 6 months and within the age range of 15 to 17 years at the time of evaluation. After applying these criteria, the final sample consisted of 8 females (age = 16 (±0.92) years; Body Mass Index - BMI - = 22.68 (±0.99) Kg/m2) and 6 males (age = 16 (±0.77) years; BMI =
23.45 (±1.07) Kg/m2) (Table 1).
Table 1 Description of variables
| N Age (years) | Force (N) | Height (m) | Leg length-hip height index at 90º | Months of experience | |
| Men | 6 16.33 ± 0.77 | 720.30 ± 29.67 | 1.80 ± 0.11 | 0.42 ± 0.004 | 49.20 ± 1.95 |
| Women | 8 16.13 ± 0.92 | 703.68 ± 32.55 | 1.75 ± 0.13 | 0.40 ± 0.005 | 43.20 ± 2.16 |
Note. Data shown in mean ± SD. N = Newtons; m = meters; Kg/m2 = Kilograms of mass as a function of meters of surface area.
Instruments
Physical fitness parameters, including strength, jump height, power, and velocity during a vertical jump, were evaluated. Psychological aspects such as mood profile and self-efficacy were also assessed in the participating athletes.
Countermovement Jump
Vertical jump performance was assessed using the Countermovement Jump (CMJ) task. Participants executed each CMJ from a stationary position with hands on their hips. During the flight phase of the jump, participants maintained straight knees, and both feet landed simultaneously. The CMJ was evaluated using the validated method by Balsalobre-Fernández, et al. (2015) through the Myjump 2 mobile application. An adjudicator recorded the jumps using a portable recording device positioned two meters away from the competitors (Apple Inc. iPhone 5s America smartphone). Participants were instructed to perform the jumps upon receiving ''Go'' signals, and the jump data was subsequently processed within the application. Takeoff and landing times were manually recorded. The CMJ assessment included specific variables of interest such as jump height, flight time, velocity, power, and performance.
Profile of Mood States
The Profile of Mood States (POMS) questionnaire was utilized to analyze the mood profile, given its utility in athletes (McNair et al., 1992). The short version of the POMS (Grove & Prapavessis, 1992) was employed, which had been adapted for Cuban athletes (Barrios-Duarte, 2011). The questionnaire consisted of six items, including: a) feelings of anxiety, restlessness, and uneasiness; b) feelings of sadness, discouragement, and depression; c) feelings of anger, fury, and a bad mood; d) feelings of being active, joyful, and full of energy; e) feelings of exhaustion, tiredness, and fatigue; f) feelings of insecurity, disorientation, and inability to concentrate. The questionnaire was administered individually immediately before the CMJ performance.
Self-efficacy
In order to assess self-efficacy, the self-efficacy scale was used (Bandura, 2006). Each athlete responded to three different questions assessing their confidence levels regarding their ability to exceed 20 cm of height, jump more than 20 cm without exceeding 39 cm, and jump more than 40 cm. The possible responses ranged from 0 to 5, with athletes providing a numerical value representing their confidence level. A score of 5 represented ''completely confident,” 4 represented ''very confident,” 3 represented ''quite confident,” 2 represented ''somewhat confident,” 1 represented ''not very confident,” and 0 represented ''not at all confident.”
Leg Length to Hip Height Index
The leg length to hip height index in a 90° position was evaluated in all athletes following the guidelines of the International Society for the Advancement of Kinanthropometry (ISAK). Measurements were taken using a measuring tape (SECA 206) with a precision of 1 mm.
Procedure
All athletes were assessed for performance variables related to physical fitness parameters and psychological aspects. Mood state and self-efficacy were analyzed based on subjective performance perception. Subsequently, leg length and hip height at 90° were measured. Following the measurements, athletes performed a standardized warm-up consisting of joint mobility exercises and 15 familiarization CMJs. Two CMJs were then evaluated using the Myjump 2 app, and the jump with the highest achieved height was selected for analysis. The order of participation was randomized between males and females, and no athlete reported any discomfort during the test. All data were recorded prior to the commencement of the training session.
Data Analysis
A Shapiro-Wilk test was conducted to assess the normality of the variables. The mean and standard deviation were calculated, and Student's t-tests were used to compare between males and females. The statistical package Jamovi 2.3.21 was employed for the analysis. Finally, the effect size was analyzed using Cohen's d with a 95% confidence interval, considering a small effect for d = .2, a moderate effect for d = .5, and a large effect for d = .8.
Results
The normality of the variables was evaluated using the Shapiro-Wilk test, indicating that the variables were non-parametric. Descriptive data for both male and female athletes, including CMJ and mood profile, are presented in Table 2.
Table 2 Descriptive data of CMJ variables and mood profile
| Variables | Men | Women | p | d |
|---|---|---|---|---|
| Height (cm) | 38.77 ± 4.28 | 42.92 ± 9.34 | .196 | .438 |
| Flight time (ms) | 562.50 ± 31.12 | 591.50 ± 61.07 | .109 | .417 |
| Speed (m*s2) | 1.38 ± 0.07 | 1.45 ± 0.15 | .109 | .417 |
| Force (N) | 2624.73 ± 194.73 | 2813.56 ± 423.42 | .098 | .438 |
| Power (W) | 3621.48 ± 469.45 | 4084.75 ± 1105.87 | .098 | .438 |
| Anxiety | 1.50 ± 0.81 | 2.00 ± 1.41 | .44 | .06 |
| Sadness | 0.00 ± 0.00 | 0.00 ± 0.00 | .23 | .12 |
| Furious | 0.00 ± 0.00 | 0.25 ± 0.70 | .23 | .12 |
| Vigorous | 3.83 ± 0.40 | 3.62 ± 1.06 | .50 | .02 |
| Tired | 0.66 ± 0.81 | 0.12 ± 0.35 | .59 | .04 |
| Insecure | 0.00 ± 0.00 | 0.00 ± 0.00 | - | - |
Note. Data shown in median ± SD. Cm = centimeters; ms = milliseconds; m*s2 = meters per second squared; N = newtons; W = watts; p = Mann-Whitney U test; d = Cohen's measure of sample effect size for comparing two sample means.
Regarding self-efficacy, Figure 1 illustrates the distribution of values among male and female athletes in diagram form (Figure 1).
Notes. 1 = males; 2 = females; A = Self-efficacy to jump safely between 20 and 40 centimeters; B = Self-efficacy to jump safely over 40 centimeters; C = Total self-efficacy.
Figure 1 Violin plot of self-efficacy by gender
Regarding self-efficacy, significant gender differences were found only in relation to the safety of jumping between 21 and 40 cm (males = 5.00 ± 0.00, females = 4.00 ± 0.70, p = .02, d = .62). No significant differences were observed for self-efficacy in jumping over 40 centimeters (males = 4.00 ± 0.51, females = 4.00 ± 0.94, p =.72, d = .12) or for total self-efficacy (males = 27.80 ± 1.72, females = 25.60 ± 4.24, p = .85, d = .31).
Furthermore, the variables of countermovement jump (CMJ) were examined in relation to mood profile and self-efficacy. Figure 2 illustrates the differences between male and female athletes in terms of CMJ height and the anxiety factor of the mood state (Figure 2).
Notes. 1 = males; 2 = females
Figure 2 Dispersion of CMJ height in relation to the anxiety factor among genders
On the other hand, the dispersion of CMJ height in relation to the vigor factor of the POMS can be observed among genders (Figure 3).
Discussion
The aim of this study was to provide a description of conditional variables in a CMJ, mood profile, self-efficacy, and the leg-hip height index among athletes from the Cuban national athletics' pre-selection team, differentiated by gender. To the best of our knowledge, this is the first study to assess performance factors through vertical jumping using CMJ, mood profile, and self-efficacy in Cuban track and field athletes. The main findings suggest that both male and female athletes present a similar competitive sports profile, with no significant differences observed.
Proper interpretation of the information provided by the CMJ reflects the analysis of strength levels (McLean et al., 2011), training status (Gathercole et al., 2015), and even athlete fatigue (Armada-Cortés et al., 2022). This is due to its close relationship with other metabolic variables such as lactate and ammonia accumulation, as well as mechanical variables like loss of speed (Balsalobre-Fernández et al., 2015), among others. Previous studies have established that among the indicators measured by the test, the average jump height represents the main reference. In a meta-analysis that included 151 articles, 85.4% of them used the maximum CMJ height, 13.2% used the average height, and 1.3% used both. However, the average CMJ height was found to be more sensitive than the maximum height in detecting fatigue and supercompensation (Claudino et al., 2012). In our study, although women showed higher results than men in specific CMJ-derived variables, these differences were not statistically significant (p > .05). However, the effect size suggests that gender has a small to moderate effect on height (d = .43), flight time (d = .41), velocity (d = .41), strength (d = .43), and power (d = .43) variables. These findings contradict those reported in the literature (Davies et al., 2018). One possible explanation for the lack of differences in this case may lie in what was described by Cuba-Dorado et al. (2022), who found no differences in muscle contractile properties between male and female triathlon athletes through tensiomyography analysis.
Furthermore, our sample consisted of the Cuban national athletics pre-selection team, with a mean age of 16.33 ± 0.77 years for males and 16.13 ± 0.92 years for females. At these ages, the developmental factor towards adulthood seems to be a determinant for the analysis of CMJ-derived variables, as reflected in the study by Bassa et al. (2012).
In terms of the mood profile, no significant differences were found between men and women in the analysis performed using the Profile of Mood States (POMS) (p > .05), with a small effect size for gender (d < .2). However, there was a greater trend towards vigor in men compared to women. Our data align with recent findings by Reynoso Sánchez et al. (2021), who found a higher vigor factor in young Mexican athletes. However, the same did not apply to the anxiety factor, where women showed a higher but not significant value compared to men (p = .44, d = .06).
Regarding self-efficacy, our results showed significant differences between men and women in terms of their confidence in achieving a jump height between 21 and 40 centimeters using the CMJ (p = .02, d = .62). These findings can be related to those explained by Di Fronso et al. (2013), who found an increase in self-efficacy in men compared to women during the preparation phases in basketball players. In our study, we observed significant differences only for jumps between 21-40 centimeters. This can be considered as a sub-phase for subsequent jumps over 40 centimeters, where no significant differences were found (p > .05). One possible response to help athletes find strategies that satisfy their psychological needs of self-efficacy may be addressed by Isorna-Folgar et al. (2022), who recently found an effective cognitive intervention program for rowers from the Spanish national junior team.
On the other hand, our results suggest that the association between tensionrelated anxiety and performance indicators related to jump height may be decisive in finding specific profiles in male and female athletes in Cuban athletics. (Lane et al., 2001) analyzed the relationship between mood profile and sports performance. An important finding to consider is that the anxiety factor correlates positively with performance. Our results demonstrate the dispersion between anxiety and jump height, although they do not reflect significant differences between genders (p > .05). The correct interpretation of the relationship between anxiety and performance found in this intensive study (Rice et al., 2019) requires a return to the essential theoretical assumptions that correspond to models dealing with anxiety. Yerkes & Dodson's Inverted U Hypothesis argues for the existence of an optimal level of activation or arousal to achieve maximum performance (Yerkes & Dodson, 1908). Activation presupposes an energetic state of the organism that allows for a particular function, such as a state of readiness for action. This state depends on stimulus conditions (Pozo et al., 2013) and can vary depending on the autonomic nervous system. The value of anxiety factors related to jump performance found in this study can be interpreted under this premise, as the nervous system predisposes the athlete based on the performance goal. In our case, the goal was to jump as high as possible using the CMJ and to determine the athlete's confidence at different heights. (Sanchez et al., 2010) demonstrated higher levels of anxiety and their relationship to performance. The researchers concluded that the psychological state preceding competition seems to be an important factor in its success.
Another model that addresses the relationship between anxiety and performance is the Individual Zone of Optimal Functioning (IZOF) model (Hanin, 1995). This model assumes a functional relationship between emotion and optimal performance and aims to predict emotional quality in relation to the performer's previous emotional state. The model takes into account different performance outcomes of quality and associated emotional intensity. The development of this method is the first step toward developing models that consider the multidimensionality of interactive traits and emotional structures. De Andrade et al. (2019) applied this model to elite athletes and found an association between anxiety related to exercise performance and selfefficacy. In this sense, proper management of anxiety may be related to better control of emotional intelligence in individuals engaged in physical activity (Castro-Sánchez et al.,2022)
Finally, the relationship between vigor and jump height was also analyzed in the present study. In the observed dispersion, it is interesting to consider the vigor mood factor before performing a motor gesture related to athlete performance, such as CMJ jump height. In a recent meta-analysis, (Lochbaum et al., 2021) discussed the relationship between athlete mood profile and exercise performance. These authors emphasized the importance of understanding the mood profile of an athlete and its relationship to sports performance, providing an integrated view using the POMS scale as a predictor of athlete performance. According to our results, men exhibited higher levels of vigor than women. Despite finding an increase in the vigor factor, the jump height results were higher in women, although not statistically significant (p>.05). One possible explanation for the relationship between mood profile control and sports performance could be the increased likelihood of sports injury (Van Wilgen et al., 2010). Jump landings can be associated with sports injuries, and gender differences have been observed from a kinematic and kinetic perspective (Sañudo et al., 2012). Although the present study did not assess the relative risk of injury, it appears crucial to control the vigor factor of the mood profile during sports tests such as the CMJ, not only due to its association with injuries (Van Wilgen et al., 2010), but also its relationship with test performance (Lochbaum et al., 2021).
Conclussions
Both male and female athletes showed relatively similar performance, although a moderate gender effect on jump variables was observed for women. Regarding mood factors, there were no significant differences. However, men exhibited significantly higher self-confidence values than women to reach heights between 21 and 40 cm. Finally, associations were found between the anxiety factor and CMJ height, as well as the vigor factor and CMJ height. This study suggests that the association between tensionrelated anxiety and performance indicators related to jump height may play a crucial role in determining specific profiles in Cuban athletes of both sexes. Our comprehensive analysis contributes to understanding gender differences in performance factors. These findings provide valuable insights for future research and athlete development strategies.
Acknowledgments
The authors would like to thank all the people who made the development of this research possible. In addition, it is stated that no funding was received for this study.
Author'S Contribution Statement
Author 1 participated in the conceptualization (lead), research, methodological design, data curation, writing of the manuscript (lead). Author 2 participated in conceptualization (support), data analysis (support), project management (support), review (support) and editing of the final manuscript. Author 3 participated in the drafting of the manuscript (support) and data analysis (lead). Author 4 participated in project management (lead) and revision (lead). All the authors participated in the preparation of this article
