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Competitive Anxiety as a Predictor of the Occurrence, Quantity, and Severity of Injuries in Young Cuban Athletes

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08 March 2026

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09 March 2026

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Abstract
Previous studies suggest that elevated competitive anxiety may increase the likeli-hood of injury. The present research aims to examine the role of competitive anxiety as a predictor of injury occurrence, frequency, and severity. A cross-sectional, correlational de-sign was conducted with 131 athletes, (mean age = 16.49 years), predominantly male. In-juries data were obtained through medical record review, and competitive anxiety was assessed using the Competitive Anxiety Inventory-2. Empirical frequency distributions, descriptive statistics, non-parametric tests, and logistic and ordinal regression models were employed. A high incidence of injuries was observed, although most were minor. Competitive anxiety was characterized by elevated levels of cognitive anxiety and self-confidence. Injured athletes exhibited greater overall competitive anxiety (r = .31, p < .001), with higher levels observed among those who sustained more injuries (ε² = .12, p = .001), and a very large effect was found in relation to injury severity (ε² = .17, p < .001). The occurrence of injury can only be predicted in 10.9–14.7% of cases through increased cogni-tive and somatic anxiety, whereas an increase across all dimensions of competitive anxi-ety predicts a greater number (13–14%) and severity (20.3–21.8%) of injuries. These find-ings underscore the importance of developing skills to manage competitive anxiety, par-ticularly its cognitive dimension and maintaining optimal levels of self-confidence in young athletes.
Keywords: 
;  ;  
Subject: 
Social Sciences  -   Psychology

1. Introduction

Research on the etiology of sports injuries has advanced considerably in recent decades, with psychological factors now recognized as critical determinants of injury risk. Among these, competitive anxiety has been consistently identified as a central construct, exerting influence through disruptions in attentional focus, decision-making, and motor coordination, thereby heightening susceptibility to technical errors and subsequent injury. The foundational model of Andersen and Williams [1] remains influential in framing this interaction, emphasizing the interplay between situational stressors and coping resources.
Yet, more recent empirical evidence has shown that elevated anxiety levels are associated with a greater likelihood of sustaining sport injuries across different playing positions and competitive contexts [2]. Subsequent studies further refined this perspective by identifying specific risk profiles in which competitive anxiety and dispositional competitiveness interact to increase injury vulnerability [3]. Additional research in football has shown that anxiety coexists with other psychological characteristics, such as resilience, and varies according to competitive level, reinforcing its role as a determinant of injury risk [4]. More recently, longitudinal analyses in high-performance environments have confirmed that fluctuations in competitive anxiety and mood states are closely linked to injury occurrence, underscoring the dynamic nature of this psychological–physical interaction [5].
From this perspective, contemporary research has expanded on these postulates, confirming that psychological factors not only influence the incidence of injuries, but also the rehabilitation processes and performance after the injury occurs [6]. In soccer players, for example, it has been documented that injury induces alterations in pre-competitive anxiety and mood, affecting return to sport [7]. Subsequent research has consolidated the notion that effective prevention must necessarily incorporate psychological variables alongside traditional physical and biomechanical ones [8]. More recently, it has been argued that the risk of injury is not only associated with stress, but also with a specific profile of negative emotional states that includes high anxiety, depressive symptoms, and low self-confidence, which increases the athlete's vulnerability [9].
This evidence positions psychological factors as essential components in explanatory models of sports injury. Specifically, competitive anxiety has been associated with an increased risk of musculoskeletal injuries, mediated by its negative impact on concentration, emotional regulation, and muscle tension [1]. This association is particularly relevant in team sports. A recent systematic review focusing on basketball, handball, and volleyball [10] not only confirms the high injury burden in these sports but also explicitly identifies the need for in-depth research into psychosocial risk factors, beyond purely physical and technical ones. This call from the literature reinforces the relevance of studying variables such as competitive anxiety in these specific contexts.
In youth populations, recent findings lend relevance to this association. Sánchez-Ruiz et al. demonstrated in young soccer players that high levels of competitive anxiety predicted a higher incidence of injuries, a relationship that was moderated by the competitive category, being more intense at higher levels of demand [11]. This study suggests that anxiety not only increases the likelihood of injury but may also be linked to its severity and frequency, depending on the sporting context. However, its exclusive focus on soccer highlights a critical gap pointed out by Milić et al. [10]: the lack of longitudinal and comprehensive research on psychological predictors in other team sports with similar dynamics, where competitive pressure and injury risk are equally high.
Convergently, a recent meta-analysis corroborates the bidirectional nature of this relationship, establishing that anxiety predisposes to injury and, in turn, the experience of injury exacerbates anxiety symptoms, creating a potentially harmful cycle for the athlete's health [8]. However, not all research has found confirmatory evidence of the relationship between the two variables. Several studies have not found significant relationships between competitive anxiety and injuries [13,14], while it was recently determined that this relationship may be conditioned by other factors, since although significant relationships between injury and somatic anxiety were found in the total sample, when the analysis was segmented, these relationships were not found in younger athletes [11].
In the specific context of Cuba, research on sports injuries has shifted from epidemiological approaches to an incipient integration of the psychological dimension. Longitudinal studies such as that by Martínez-Estupiñán on child athletes, which reported a high incidence of injuries, already pointed to the need to incorporate psychosocial factors into prevention programs [15]. Continuing along these lines, Ríos Garit and Pérez Surita identified that both competitive anxiety and extreme levels of self-confidence were associated with a higher incidence of injuries in high-performance basketball players, providing local empirical evidence on this interaction [16]. Recently, evidence has also been obtained on the relevance of competitive anxiety as a significant predictor of injuries when interacting with psychological skills in Cuban athletes from various team sports [17].
Despite these advances, inconsistencies in the accumulated evidence persist. The synthesis by Milić et al. [10] highlights that, although the epidemiology of injuries in sports such as basketball, handball, and volleyball is well known, there is a notable lack of studies designed to examine causal relationships, particularly with psychological variables in these populations. Therefore, the main objective of this study is to determine the role of competitive anxiety as a predictor of the occurrence, number, and severity of injuries in young Cuban athletes in team sports, responding to the call for recent research to delve deeper into psychosocial predictors in these sports contexts.

2. Materials and Methods

2.1. Study Design

A cross-sectional and correlational study was conducted on volleyball, basketball, baseball, and soccer teams in the province of Villa Clara at the end of the Special Preparation stage of the 2024-2025 training macrocycle (between the first week of May and the last week of June 2025). The aim was to analyze the population of young athletes participating in team sports in the province of Villa Clara who were in the preparation stage for the main competition of 2025.

2.2. Participants

A total of 131 athletes aged between 12 and 23 years (M=16.49) and with between 1 and 13 years of practice (M=7.08) were studied. Males predominated with 79.4% (n=104). The least represented sport was volleyball and the under-23 category in general, as shown in Table 1. A non-probabilistic sample was taken based on the following criteria:
Inclusion
-Young athletes in team sports who are training for the 2025 championship.
Exclusion
-Athletes who did not give their consent to participate.
-Athletes whose parents or guardians do not approve of their participation in the study.
Table 1. Distribution of the sample in relation to sport and category.
Table 1. Distribution of the sample in relation to sport and category.
Variables N %
Sport Baseball 45 34.4
Basketball 26 19.8
Soccer 47 35.9
Volleyball 13 9.9
Category U-15 47 35.9
U-18 46 35.1
U-23 38 29.0

2.3. Instruments

Data on injuries were obtained by reviewing the medical records of athletes at the Provincial Sports Medicine Center in Villa Clara. The variables Injury (Uninjured, Injured); Number of injuries (1 injury, 2 injuries, more than 2 injuries) and Severity of injury (Mild, Moderate, Severe, Very Severe) are classified as qualitative. The classification of injuries by severity was carried out following the criteria proposed by Olmedilla et al. [18] (minor injuries require treatment without interrupting training; moderate injuries require treatment and necessitate missing at least one day of training or competition; severe injuries involve one or more months of sports inactivity, often requiring hospitalization and/or surgical intervention; and very severe injuries lead to a permanent decrease in athletic performance, requiring ongoing rehabilitation to prevent further deterioration).
Competitive Sport Anxiety Inventory, Spanish version [19]: this instrument was used to assess competitive anxiety. It consists of 27 items distributed across three subscales that measure cognitive anxiety, somatic anxiety, and self-confidence with four Likert-type response options (1= Not at all; 2= A little; 3= Moderately; 4= Very much). The instrument showed adequate reliability indices in the present study, both for the subscales (α=.82 for Cognitive Anxiety; α=.81 for Somatic Anxiety; α= .76 for Self-Confidence), as well as for the total variable (α=.85 for Competitive Anxiety).

2.4. Procedures

Competitive anxiety was assessed at the beginning of the special preparation phase in all selected teams. Subsequently, at the end of the phase, access to the injury record was obtained. The summary of injury data was provided by each sports medicine specialist after reviewing the medical records. The CSAI-2 instrument was administered in printed form, at each sport's venue, in agreement with the head coach, and in the morning. In each sport, it was administered by the corresponding sports psychology specialist. Before beginning the tests, their characteristics, how to complete them, and the objectives of the study were explained in detail, with an emphasis on the accuracy of the information.

2.5. Ethical Considerations

The study is part of the project “Tools for the biopsychosocial prevention of injuries in team sports,” which is associated with the Sectoral Program “Sport and Human Development” of the National Institute of Sport, Physical Education, and Recreation of Cuba. The research was approved by the Scientific Council of the Provincial Center for Sports Medicine of Villa Clara and the Medical Research Ethics Committee (0101/2025). Its development strictly adhered to the ethical precepts of scientific research contained in the Declaration of Helsinki [20].

2.6. Data Analysis

Empirical frequency distribution was used to describe the distribution of cases in terms of the presence of injury, number of injuries, and severity of injuries. Descriptive statistics such as mean, deviation, asymmetry, and kurtosis were used for the variables of age, sporting experience, and competitive anxiety with its dimensions. The Kolmogorov-Smirnov test for normality of data for a sample indicated a non-normal distribution. Consequently, the Mann-Whitney U test was used to compare the variables of age, sporting experience, and competitive anxiety among athletes according to the presence or absence of injuries. The Kruskal-Wallis test was used to compare these same variables in relation to the number and severity of injuries suffered. The effect size was calculated for Mann-Whitney U using the r coefficient, obtained from the standardized Z statistic (r= Z/√N) following the recommendations of Fritz et al. [21]. For multiple group comparisons with Kruskal-Wallis, the effect size was calculated using epsilon squared (ε² = H/N-1) according to Tomczak and Tomczak [22]. A binary logistic regression model was used to predict the injury variable, and ordinal regression models were used for the variables of number and severity of injuries. The SPSS version 25.0 software package for Windows was used, considering a 95% confidence interval.

3. Results

Figure 1 describes the injuries during the 2024-2025 training macrocycle. There are a high occurrence and notable number of injuries, although those of lesser severity predominate.
Table 2 shows the values of the descriptive statistics and the normal distribution test of the data. Only the competitive anxiety variable has a normal distribution. Self-confidence and cognitive anxiety exhibit high values.
Table 2. Description of the variables and data normality analysis.
Table 2. Description of the variables and data normality analysis.
Variables Mean SD Skewness Kurtosis K-S p
Chronological age 16.49 2.915 .651 -.005 .138 <.001
Sports experience 7.08 4.108 .340 -.951 .117 <.001
Cognitive anxiety 30.69 6.161 1.111 5.760 .118 <.001
Somatic anxiety 20.71 5.237 .727 .741 .090 .012
Self-confidence 36.60 6.912 -.922 .243 .137 <.001
Competitive anxiety 88.00 9.459 .045 2.783 .072 .092
Note. *p<.05; **p<.01; ***p<.001 (two-tailed significance); K-S= Kolmogorov-Smirnov.
Table 3 describes the results of the comparison of chronological age, sporting experience expressed in years of practice, and competitive anxiety. Only self-confidence does not differ significantly between injured and non-injured athletes. Injured athletes have higher competitive anxiety with a moderate effect size (r=.31), which is configured through higher cognitive and somatic anxiety with small individual effects (r=.27 and r=.24, respectively).
Table 4 shows that the number of injuries suffered significantly differentiates competitive anxiety as a general variable, but at the expense of cognitive and somatic anxiety, in that order. A large effect is obtained in general competitive anxiety (ε²=.12), cognitive anxiety (ε²=.08), and somatic anxiety (ε²=.06), as well as a moderate effect in self-confidence (ε²=.02), although not significant.
Table 5 analyzes the differences in variables in relation to the severity of injuries. It can be seen that competitive anxiety as a general variable differs significantly depending on the severity of injuries, with a very large effect size (ε²=.17). In this regard, cognitive anxiety (ε²=.12) and somatic anxiety (ε²=.08) differ significantly with a large effect in both cases.
Table 6 shows the logistic regression data for predicting injury. It can be seen that cognitive and somatic anxiety are significant predictors of injury, but self-confidence is not. For each point increase in cognitive anxiety, the probability of injury increases by 9.7%, while somatic anxiety increases by 11%. The model demonstrated an acceptable global fit (-2 Log Likelihood = 160.059; X2 = 15.072, p = .002). The Hosmer-Lemeshow test was not significant (X2= 6.195, p = .625). In terms of predictive performance, the model correctly classified 68.7% of the cases, with a sensitivity of 87.5% for injured athletes and a specificity of 39.2% for non-injured athletes. These results suggest a moderate discriminative ability, with stronger effectiveness in identifying positive cases.
Table 7 shows the results of the ordinal regression to predict the number and severity of injuries. With regard to the number of injuries, the three dimensions of competitive anxiety are significant predictors. However, the variable that best predicts the number of injuries is cognitive anxiety, followed by somatic anxiety and self-confidence, all in a positive regard. With regard to the severity of injuries, the results follow the same logic; however, the data show that the three dimensions of competitive anxiety predict severity to a greater extent than the number of injuries (Severity = 20.3%-21.8%, Number = 13%-14%). The model for the number of injuries demonstrated a good overall fit (-2 Log likelihood = 318.815; X2 = 18.232, df = 3, p = < .001). Goodness of fit statistics were satisfactory (Pearson X2 = 409.270, p = .129; Deviance X2 = 316.042, p = .991). The test of parallel lines was not significant (X2 = 6.025, df = 6, p = .420), supporting the proportional odds assumption. Similarly, the model for injury severity showed an adequate fit (-2 Log likelihood = 316.822; X2 = 29.719, df = 3, p = < .001). Goodness-of-fit indices were excellent (Pearson X2 = 542.934, p = .118; Deviance X2 = 314.049, p = 1.000) and the proportional odds assumption was met (X2 = 1.953, df = 9, p = .992). Together, these results suggest that both models provide a moderate discriminative ability across categories of injuries frequency and severity.

4. Discussion

It was found that most athletes had suffered minor injuries at least once during the preparation period analyzed. These data confirm the negative epidemiological behavior of injuries from an early age in team sports [10,15]. This finding in young athletes coincides with the results reported by a previous study in a sample of older high-performance athletes in the same context [23]. The contrasting evidence highlights the importance and necessity of a sports injury care system focused on timely prevention.
With regard to the relationship between competitive anxiety and injuries in these young athletes, it was found that competitive anxiety reaches significantly higher levels in those who have been injured more frequently and, especially, in those who have suffered more severe injuries. This finding reinforces the concept of sports injuries as a multifactorial phenomenon in which psychological factors play a relevant role [1,24,25].
On the other hand, competitive anxiety showed significant differences between injured and non-injured athletes, which agrees with the results shown in the meta-analysis by Chow et al. [12], where a significant relationship is established between mental health variables and sports injuries in adolescents. This suggests that anxiety is a relevant factor within a more complex process that includes physical demands, workload, and contextual factors.
A more specific analysis showed that cognitive anxiety was the dimension with the greatest predictive weight, both in terms of the number and severity of injuries. In this regard, excessive worry, anticipation, or intrusive thoughts can compromise concentration and increase the likelihood of errors. Likewise, somatic anxiety showed significant predictive power, both in the occurrence and in the number and severity of injuries. These findings are consistent with other studies that argue that negative emotional states are associated with physiological alterations that can affect coordination and increase the occurrence of injuries [9,26].
Competitive anxiety explained a greater percentage of variance in injury severity than in the mere occurrence of injury. This result suggests that anxiety not only increases the likelihood of injury but may also be linked to mechanisms that aggravate the damage. Along the same lines, previous studies [9,27] suggest that negative emotional profiles can intensify the physiological response to stress and limit the ability to adapt to risky situations. In this regard, a study of young soccer players found that the physiological and cognitive changes caused by high levels of competitive anxiety increased the risk of injury [28].
In this regard, competitive anxiety may also be interpreted within a broader framework of psychological demands in sport. Although variables such as mental workload [29] or emotional exhaustion [30] were not directly assessed in this study, previous literature suggests that these factors may interact with anxiety, amplifying cognitive overload and reducing attentional efficiency. This interaction could partially explain why anxiety shows a stronger association with injury severity than with mere occurrence, as higher psychological demands may impair both perception and response to risk situations.
With regard to self-confidence, although no significant association was found with the occurrence of injury, its predictive capacity in terms of the quantity and severity. This suggests that self-confidence may not influence whether an athlete gets injured, but rather how they behave once exposed to risk situations. Excessively high levels of self-confidence could lead to risk-taking behaviors, underestimation of dan-ger, or delayed recognition of physical warning signals, contributing to more frequent or more severe injuries. This interpretation highlights the need to consider not only deficits but also maladaptive excesses in psychological variables.
This result is similar to that found in the Cuban population by Ríos Garit and Pérez Surita [16], who identified that extreme levels of self-confidence may be associated with a higher incidence of injury. In this regard, very high self-confidence can be a risk factor, which would increase the probability of recurrence or aggravation of the injury. This leads to the need for interventions focused on developing skills for the proper management of anxiety in competition and maintaining optimal levels of self-confidence in these young Cuban athletes, but more markedly in those who have been injured more often and have suffered more severe injuries.
From an applied perspective, the results support the need to implement psychological intervention programs aimed at the proper management of competitive anxiety and the maintenance of optimal levels of self-confidence. In line with other studies, affective injury prevention should incorporate mental health aspects into sports preparation plans [8,17,31]. Furthermore, the evidence obtained suggests that competitive anxiety is a significant predictor of the number and severity of injuries in these young athletes, reinforcing the need to adopt a biopsychosocial approach to sports injury prevention in Cuba, integrating the assessment and training of psychological variables into the athlete's preparation process [17].
This study presents several limitations that should be considered when interpreting the findings. First, the cross-sectional and correlational design does not allow for definitive causal inferences between competitive anxiety and the occurrence of injuries. Although anxiety was assessed at the beginning of the preparation phase and injuries were recorded afterward, the possibility of reverse causality cannot be ruled out—that is, previous injury experiences may have increased the levels of competitive anxiety observed in athletes. The literature highlights the bidirectional nature of this relationship, suggesting that future research should employ longitudinal designs or cross-lagged regression models to examine how both variables influence each other over time.
Second, the sample size and its non-probabilistic nature limit the generalizability of the results to other populations of young athletes, both within and outside the Cuban context. The predominance of male athletes and the underrepresentation of certain sports, such as volleyball, also restrict the extrapolation of findings to disciplines with different competitive dynamics or to populations with greater gender balance.
Third, the study focused exclusively on psychological variables and medical records of injuries, without incorporating other relevant factors such as training load, environmental conditions, social support, or individual coping strategies. These factors may interact with competitive anxiety in explaining the occurrence and severity of injuries.
Finally, although validated instruments were used to measure competitive anxiety, the self-reported nature of these questionnaires may be subject to response bias, particularly in young populations who may face difficulties in accurately recognizing or expressing their emotional states.
Building on the limitations identified, several avenues for future research are suggested. First, longitudinal and experimental designs should be employed to better establish the causal direction of the relationship between competitive anxiety and sports injuries, and to disentangle the potential bidirectional effects. Incorporating cross-lagged panel models would allow researchers to examine how anxiety and injury mutually reinforce each other over time.
Second, future studies should expand the sample size and adopt probabilistic sampling methods to enhance the generalizability of findings. Greater representation of female athletes and underrepresented sports, such as volleyball, would provide a more comprehensive understanding of how competitive anxiety operates across different contexts and populations.
Third, research should integrate additional explanatory variables beyond psychological measures and medical records in Cuban athletes. Factors such as training load, environmental conditions, social support, and coping strategies may interact with competitive anxiety and contribute to injury risk. Multidimensional models that combine psychological, physical, and social predictors would provide a more holistic view of injury etiology.
Finally, future work should consider the limitations of self-reported measures of anxiety. Complementing questionnaires with physiological indicators (e.g., heart rate variability, cortisol levels) or behavioral observations could reduce response bias and improve the accuracy of psychological assessments in young athletes.

5. Conclusions

Competitive anxiety reached higher levels in young athletes who have been injured more frequently, but especially in those who have suffered more severe injuries. Not all dimensions of competitive anxiety have the same degree of influence on the occurrence of injury. However, an increase in the number and severity of injuries can be predicted when all dimensions of competitive anxiety in-crease. Although the regression models indicate that competitive anxiety is a significant predictor of injury related variables, the proportion of explained variance remains moderate. This suggests that anxiety should be considered as one contributing factor within a multifactorial model, where physical, contextual, and other psychological variables also play a relevant role. Therefore, the predictive capacity of anxiety should be interpreted with caution, avoiding deterministic conclusions. Despite these limitations, the findings suggest that very highly competitive anxiety can be a risk factor, which raises the need for interventions focused on developing skills for the proper management of anxiety in competition and maintaining optimal levels of self-confidence in these young Cuban athletes, but more so in those who have been injured more often and have suffered more severe injuries.

Author Contributions

The following statements should be used “Conceptualization, J.R.G. and Y.P.S; methodology, J.R.G.; formal analysis, J.R.G, Y.P.S, V.G.E; investigation, J.R.G.; resources, J.RG., Y.P.S; data curation, J.R.G.; writing—original draft preparation, J.R.G., YP.S., V.G.E., M.R.B., V.T.V.; writing—review and editing, J.R.G.; project administration, J.R.G.; funding acquisition, J.R.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by INSTITUTO NACIONAL DE DEPORTE, EDUCACION FISICA Y RECREACIÓN (INDER) DE CUBA.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of CENTRO PROVINCIAL DE MEDICINA DEL DEPORTE DE VILLA CLARA (0101/2025).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding authors.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Characteristics of injuries.
Figure 1. Characteristics of injuries.
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Table 3. Comparison of variables related to the occurrence of injury.
Table 3. Comparison of variables related to the occurrence of injury.
Variables Factor N Average range U Z p r
Chronological age Not injured 51 64.62 1969.500 .335 .738 .02
Injured 80 66.88
Sports experience Not injured 51 64.80 1979.000 .289 .773 .02
Injured 80 66.76
Cognitive anxiety Not injured 51 53.21 1387.500** 3.088 .002 .27
Injured 80 74.16
Somatic anxiety Not injured 51 54.35 1446.600** 2.810 .005 .24
Injured 80 73.43
Self-confidence Not injured 51 65.14 1996.000 .208 .835 .01
Injured 80 66.55
Competitive anxiety Not injured 51 51.25 1287.500*** 3.556 <.001 .31
Injured 80 75.41
Note. *p<.05; **p<.01; ***p<.001 (two-tailed significance); r= .10 (small effect); r= .30 (moderate effect); r= .50 (large effect).
Table 4. Comparison of variables in relation to the number of injuries suffered.
Table 4. Comparison of variables in relation to the number of injuries suffered.
Variables Factor N Average range H p ε²
Chronological age None 51 64.62 .201 .977 .00
One injury 41 67.39
Two injuries 18 64.58
More than two injuries 21 67.86
Sports experience None 51 64.80 .907 .824 .00
One injury 41 65.73
Two injuries 18 73.56
More than two injuries 21 62.95
Cognitive anxiety None 51 53.21 10.973** .012 .08
One injury 41 71.38
Two injuries 18 70.58
More than two injuries 21 82.64
Somatic anxiety None 51 54.35 8.517* .036 .06
One injury 41 76.54
Two injuries 18 68.64
More than two injuries 21 71.45
Self-confidence None 51 65.14 3.337 .343 .02
One injury 41 59.48
Two injuries 18 70.06
More than two injuries 21 77.36
Competitive anxiety None 51 51.25 16.291** .001 .12
One injury 41 68.89
Two injuries 18 75.19
More than two injuries 21 88.31
Note. *p<.05; **p<.01; ***p<.001 (two-tailed significance); ε²≤.01 (small effect); ε²˃.01-.06 (moderate effect); ε²˃.06-.14 (large effect); ε²˃ .14 (very large effect).
Table 5. Comparison of variables in relation to the severity of injuries.
Table 5. Comparison of variables in relation to the severity of injuries.
Variables Factor N Average range H p ε²
Chronological age None 51 64.62 2.989 .560 .02
Minor 40 64.38
Moderate 26 64.94
Severe 12 82.67
Very severe 2 47.50
Sports experience None 51 64.80 4.547 .337 .03
Minor 40 61.24
Moderate 26 71.75
Severe 12 80.13
Very severe 2 32.25
Cognitive anxiety None 51 53.21 15.838** .003 .12
Minor 40 65.30
Moderate 26 77.46
Severe 12 90.96
Very severe 2 107.50
Somatic anxiety None 51 54.35 10.579* .032 .08
Minor 40 72.11
Moderate 26 67.92
Severe 12 85.63
Very severe 2 98.00
Self-confidence None 51 65.14 5.895 .207 .04
Minor 40 63.45
Moderate 26 62.69
Severe 12 89.50
Very severe 2 41.00
Competitive anxiety None 51 51.25 22.774*** <.001 .17
Minor 40 67.00
Moderate 26 72.96
Severe 12 105.33
Very severe 2 95.75
Note. *p<.05; **p<.01; ***p<.001 (two-tailed significance); ε²≤.01 (small effect); ε²˃.01-.06 (moderate effect); ε²˃.06-.14 (large effect); ε²˃ .14 (very large effect).
Table 6. Logistic regression to predict the occurrence of injury through the dimensions of competitive anxiety.
Table 6. Logistic regression to predict the occurrence of injury through the dimensions of competitive anxiety.
Criterion Pseudo R
squared
Interactions B SE Wald gl p. Exp(B) 95% C.I. for EXP(B)
Injury R squared of Cox y Snell .109 Cognitive
anxiety
.092 .037 6.228 1 .013 1.097 1.020-1.179
Somatic
anxiety
.104 .042 6.238 1 .013 1.110 1.023-1.204
R squared of Nagelkerke .147 Self-confidence .040 .030 1.741 1 .187 1.041 .981-1.105
Constant -5.950 2.079 8.195 1 .004 .003 -
Note. *p<.05; **p<.01; ***p<.001 (two-tailed significance).
Table 7. Ordinal regression to predict the number and severity of injuries across the dimensions of competitive anxiety.
Table 7. Ordinal regression to predict the number and severity of injuries across the dimensions of competitive anxiety.
Models Pseudo R
squared
Interactions Estimate Std. Error Wald gl p. 95%
confidence interval
Injuries
number
Cox y Snell .130 Threshold One injury 6.151 1.765 12.148 1 <.001 2.692-9.611
Two injuries 7.596 1.806 17.688 1 <.001 4.056-11.136
˃ 2 injuries 8.465 1.832 21.361 1 <.001 4.875-12.055
Nagelkerke .140 Location Cognitive anxiety .092 .030 9.306 1 .002 .033-.151
Somatic anxiety .083 .035 5.777 1 .016 .015-.151
Self-confidence .057 .027 4.618 1 .032 .005-.109
Injuries
Severity
Cox y Snell .203 Threshold Minor 8.046 1.824 19.467 1 <.001 4.472-11.620
Moderate 9.514 1.871 25.861 1 <.001 5.847-13.180
Severe 11.024 1.928 32.686 1 <.001 7.245-14.803
Very severe 13.502 2.171 38.667 1 <.001 9.246-17.757
Nagelkerke .218 Location Cognitive anxiety .134 .030 19.610 1 <.001 .075-.193
Somatic anxiety .106 .035 8.963 1 .003 .037-.175
Self-confidence .062 .027 5.250 1 .022 .009-.116
Note. *p<.05; **p<.01; ***p<.001 (two-tailed significance).
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