Volume #18, 1, 2025

Background. The concept of mental workload (MW) is a conceptual framework for evaluating the balance between the cognitive resources allocated to a task and those available to an individual. MWis influenced by the effort expended, the complexity of the task, and the individuals total processing capacity and resources.

Objective. This paper aims to explore MW in the field of sport and its relationship with other psychological variables, such as anxiety and burnout. This approach is not widely used in this context so this analysis is considered novel and unique.

Design. This paper is a cross-sectional study, with a sample selected by convenience sampling, consisting of Bulgarian athletes divided into three qualification categories: athletes competing at international competitions, athletes participating in national-level competitions, and non-professional athletes. The sample consisted of 107 athletes from various sports, with 62% male and 38% female participants.

The instruments used to assess the different psychological variables included the NASA-TLX for MW and an abbreviated questionnaire derived from the SAS-2 for Anxiety and Burnout based on ABQ. 

Results. Athletes' mental workload is multifaceted, influenced by physical and psychological factors, which may also act as a protective factor against anxiety. Team sports show higher levels of mental workload due to contextual uncertainty (entropy), which could reduce performance anxiety. Two athlete profiles emerged: a bright side (high effort, low anxiety) and a dark side (low effort, high anxiety).

Conclusion. These findings contribute to existing knowledge in sports psychology, providing deeper insights into the role of mental workload in athletic preparation and its potential function as a protective factor against anxiety.

Background. After decades of research, gender differences in spatial abilities (SA) remain poorly understood. Among factors that may contribute to these differences are self-perceived SA, inclinations, everyday behaviour and interests in SA-related activities, and related personality characteristics. In order to understand these links, a multifactorial approach is needed.  

Objective. This study explored the relationships among SA, spatial interests, and personality among adolescent boys and girls.

Design. The study recruited 660 participants (mean age = 15.04, SD = 1.08; 48% females) from public schools. Participants contributed data on a battery of SA tests; 8 personality traits: Big Five and Dark Triad; as well as SA-related activities: spatial interests and school commute information (mode and time) as a proxy for everyday spatial behaviour.

Results. Weak-to-moderate mean gender differences were observed: males scored higher on spatial ability, spatial interests, machiavellianism, and psychopathy; and females on agreeableness, openness to experience, and neuroticism. Hierarchical regression analyses revealed some gender differences in associations among personality traits and SA. In males, openness to experience and conscientiousness were significantly related to SA test performance. In females, openness to experience, extraversion, agreeableness, and machiavellianism contributed to SA performance. Although spatially-related interests were linked to SA, they were not significantly predicted by personality traits. Everyday spatial behaviour showed no relationship with personality traits or SA. 

Conclusion. The study replicated patterns of gender differences in spatial ability, spatial interests, and personality reported in previous literature. The results showed differential links between personality traits and spatial ability for males and females. However, the overall amount of variance explained in spatial ability was very small, suggesting that other factors are more prominent sources of gender differences in spatial ability. 

Background. Fluid intelligence is an integral cognitive ability that involves solving new non-standard problems. It strongly predicts academic and professional achievement, whereas a low level of fluid intelligence is an important predictor of learning problems. Clinical studies of fluid intelligence are of interest for the development of training programs in various groups of children with special needs. This article presents a study on fluid intelligence in children with learning disabilities.

Objective. This study aimed to investigate characteristics of fluid intelligence and its relationships with other cognitive characteristics in children with learning disabilities.

Design. This study involved 93 children, divided into two groups: 55 typically developing children (control group) and 38 children with learning disabilities (clinical group). To assess intelligence characteristics, this study employed the Kaufman Assessment Battery for Children (KABC-II) and the Wechsler Intelligence Scale for Children Fifth Edition (WISC-V).

Results. A reduction was found in fluid intelligence, working memory, short-term memory, long-term memory, processing speed, visual-spatial abilities, and verbal abilities in the group of children with learning disabilities compared to the control group. In the clinical group, fluid intelligence was strongly associated with a greater number of cognitive parameters compared to the control group.

Conclusions. It is possible to assume that a close connection of fluid intelligence with the assessed cognitive characteristics in the group of children with learning disabilities may be due to general challenges in cognitive development.

Background. This study is based on the idea of unity between affect and intelligence. It explores how different types of intelligence (fluid, verbal, self-assessed, and emotional) contribute to emotional creativity and implicit theories of creativity and emotion.

Objective. To identify the contributions of various types of intelligence to emotional creativity and the implicit theories of creativity and emotion.

Design. Linear regression and mediation analyses were conducted on a sample of 244 students. These analyses aimed to uncover the relationships between different types of intelligence, emotional creativity, and related components of self-awareness (at the levels of self-assessment and implicit theories).

Results. The findings demonstrated the intricate connections between various forms of intelligence – fluid, crystallized, emotional, emotional creativity, and self-awareness components such as self-assessment of intelligence and creativity. Specifically, the impact of intelligence on emotional intelligence traits and emotional creativity was mediated by measures of self-esteem in intelligence and creativity. To test specific hypotheses, we conducted a series of regression analyses and developed two structural models. The first model included linear regression equations with each emotional creativity (EC) scale as the dependent variable and both types of intelligence, as well as self-assessments—SAI and SAC—as predictors. The second model demonstrated the mediation effect of implicit theories of emotions (ITE) in the influence of emotional intelligence (EI) on emotional creativity.

Conclusion. This study highlights the complexity of the interplay between different types of intelligence and emotional creativity. It reveals the mediating role of self-esteem in these relationships and underscores the distinct nature of emotional creativity domains. Additionally, it establishes the link between implicit theories of emotions and creativity, with emotional intelligence and self-esteem, offering valuable insights for further research.

Background. In the competitive world of emerging athletes, performance is crucial; in sports, it is essential. However, under the spotlight of competition, performance anxiety lurks as the unseen rival every athlete must conquer. Two important factors are fundamental to this dynamic—athletic identity and perceived coaching styles. Athletic identity becomes an athlete’s armor, while the coaching styles catalyze transformation. Their alliance can either elevate performance or diminish it.

Objective. To investigate the relationship between athletic identity, perceived coaching styles, and performance anxiety among university athletes.

Design. Using a correlational research design, 353 university athletes (191 men, 162 women, aged 18-25, M= 20.8, SD= 1.78) were recruited through non-probability purposive sampling from various universities. The athletic identity measurement scale (AIMS), leadership scale for sports (LSS), and sport anxiety scale-2 (SAS-2) were used to measure the constructs; the athletes also completed a demographic information sheet and provided informed consent.

Results. The Pearson product moment correlation results indicated a significant negative correlation between athletic identity and performance anxiety, while perceived coaching styles were significantly positively correlated with performance anxiety. The moderation analyses revealed that training and instruction, social support, democratic behavior, and positive feedback significantly moderated the relationship between self-identity and performance anxiety. Additionally, training and instruction and autocratic behavior significantly moderated the relationship between negative affectivity and performance anxiety.

Conclusion. This study underscores the importance of understanding the dynamics between athletic identity, perceived coaching styles, and performance anxiety to optimize athletic performance and reduce performance anxiety among university athletes.

Background. We can see outbreaks of social violence (notably wars, riots, and revolutions), both historically and in the current social situation. Some authors point to the impact of hostility on human cognitive processes and on decision making, and through these factors – on aggressive behaviour. Moreover, some retrospective studies note the role of cognitive complexity in the peaceful resolution of conflicts (including international conflicts). These findings prompted us to ask whether the two phenomena are related. To answer this question a meta-analysis of correlation between hostility and cognitive complexity was conducted.

Objective. Our objective was to summarise research findings on the relationship between hostility and cognitive complexity.

Design. The total number of papers screened was 839 (in English and Russian). A total of 5 effect sizes from 4 selected papers were included in the meta-analysis derived from a pooled sample of 3114 participants. Three-level random-effects meta-analysis, p-curve, p-uniform and p-uniform* methods were used in the data analysis.

Results. The results of different effect size calculation methods (three-level random-effects model, two-level random-effects model, and p-uniform*) confirmed that there is a moderately weak negative correlation between hostility and cognitive complexity. The most accurate result is r_pooled = -0.22 [-.45;.003].

Conclusion. There is a negative correlational relationship between hostility and cognitive complexity. Apparently, hostility and cognitive complexity have some reciprocal influence on each other. The authors hypothesise that hostility is rather complementary to cognitive simplicity as the opposite pole of cognitive complexity - if the function of hostility in ensuring the protection of one’s sense of Self is taken into account. Both hostility and cognitive simplicity work to create a simple (in one case dangerous, in another case unambiguous) world in which it is easier to make decisions (including the decision to engage in aggressive behaviour).

Background. There has been a recent increase in research to empirically verify different personal and contextual variables that impact psychological adjustment indicators, but further research is still needed in the construction of explanatory models, especially for children.

Objective. This study aimed to analyze the role of self-esteem, self-efficacy, and family social support in resilience, and their effect on indicators of psychological adjustment, in children living in at-risk contexts.

Design. A sample of 450 participants (229 boys, 221 girls) aged 9 to 12 years, with a mean age of 1.70 (SD=.67), participated in the study. With the parents’ consent, the children completed a questionnaire containing sociodemographic questions and seven scales for the measurement of each of the variables under study. 

Results. Significant differences in the predictor variables were found according to the levels of resilience, but not with respect to gender, and the correlations between the variables were found to be significant. The proposed structural model was verified, which shows acceptable fit indices and highlights that family social support is related to resilience and psychological adjustment.

Conclusion. Personality characteristics and family social support, as personal and social variables, constitute protective factors during childhood in the context of psychosocial risk, suggesting that they must be taken into account when implementing programs to promote resilience and well-being.   

Background. Studies of self-efficacy in sports have demonstrated its importance in performance. These have been of English-speaking and Latin American origin, mostly descriptive, qualitative, and relate it essentially to emotional variables; interventions reveal its sources and the way to improve it.

Objective. A meta-analysis and systematic review of self-efficacy studies in high- performance sports in 2015–2022.

Design. The PRISMA method and a flow diagram were used. The databases were SciELO, Dialnet, Redalyc, CORE, REBID, Science Research, Google Scholar, and PubMed. The dimensions of analysis were: descriptions of the articles; methodological approach, and characteristics of the self-efficacy measurements. The keywords “self-efficacy” and “sports,” along with their translations into Spanish, were connected using the OR Boolean operator. The inclusion of “high performance” or “elite” was carefully considered to avoid unintended exclusions.

Results. Thirty-four articles were selected, with soccer and basketball being the most studied sports. Descriptive and correlational designs predominated: increasing relationships between two or more variables with self-efficacy, the studies that discussed interventions were the only ones that addressed longitudinal studies. In the measurements, those of general self-efficacy predominate according to the tasks faced by the athletes; individual self-efficacy is more highly valued; strength and generality are considered in the microanalyses.

Conclusion. Progress has been shown in studies of self-efficacy in high-performance sports. There remain opportunities for longitudinal studies, instruments with sport-specific indicators, analysis of levels and collective self-efficacy that will allow researchers to further explain the phenomenon.