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Background: Modern work environments characterized by high cognitive demand can generate significant mental workload. Studying this phenomenon helps us to understand how cognitive demands affect workers’ performance, health, and well-being. A scientometric analysis of mental workload allows for the identification of trends, gaps, and emerging areas in scientific research. Objective: This study aims to analyze the development of the literature on mental workload in terms of the most relevant studies, main authors and their networks, main journals and keywords, countries and institutions leading research, and main research areas. Methods: A scientometric and bibliometric analysis was conducted through a search of scientific articles published in the Web of Science (WoS) database between 1975 and 2024. Results: Of the total number of publications, 71.2% occurred in the last 10 years. A total of 87.16% of the articles have 0 citations or less than 50. The countries with the greatest production and influence are the United States, China, and Germany. Among the main areas of study were “Engineering”, “Psychology”, “Transportation”, and “Surgery.” Conclusions: Publications and citations on the subject have grown significantly. This justifies the need to study mental workload in other areas and cultural contexts.

Background Despite the recognized advantages of Peer-Assisted Learning (PAL) in academic settings, there is a notable absence of research analyzing its effects on students' Academic Burnout. This study aims to cover this gap by assessing the underlying effectiveness of Informal Peer-Assisted Learning (IPAL) as a cooperative learning method, focusing on its potential to mitigate academic burnout among medical students. Methods In 2022, a cross-sectional study was conducted at the School of Medicine, Universidad Central del Caribe, in Puerto Rico. The research team gathered data from 151 participants, 49.19% of 307 total student body. This cohort included 76 female students, 71 male students, and 4 individuals saying other. The School Burnout Inventory questionnaire (SBI-9) was employed to assess Academic Burnout, along with an added query about self-reported IPAL. The SBI-9 underwent validation processes to ascertain its reliability and validity, incorporating the Exploratory Factor Analysis and Confirmatory Factor Analysis. Following this, the investigators conducted an analysis to determine the correlation between academic burnout levels and involvement in IPAL. Results The validation process of the questionnaire affirmed its alignment with an eight-item inventory, encapsulating two principal factors that elucidate academic burnout. The first factor pertains to exhaustion, while the second encompasses the combined subscales of cynicism and inadequacy. The questionnaire shows high reliability (Cronbach's alpha = 0.829) and good fit indices (Comparative Fit Index = 0.934; Tucker-Lewis Index = 0.902; Standardized Root Mean Squared Residual = 0.0495; Root Mean Squared Error of Approximation = 0.09791; p -value < 0.001). The factors proven in the selected model were used to evaluate the correlation between Academic Burnout and IPAL. Students engaged in IPAL showed significantly lower academic burnout prevalence compared to those who never participated in such practices, with a mean academic burnout score of 44.75% (SD 18.50) for IPAL engaged students versus 54.89% (SD 23.71) for those who never engaged in such practices ( p -value < 0.013). Furthermore, within the group engaged in IPAL, students displayed lower levels of cynicism/inadequacy 41.98% (SD 23.41) compared to exhaustion 52.25% (SD 22.42) with a p -value < 0.001. Conclusions The results of this study underscore a notable issue of academic burnout among medical students within the surveyed cohort. The investigation reveals a significant correlation between Academic Burnout and IPAL, suggesting that incorporating IPAL strategies may be beneficial in addressing burnout in medical education settings. However, further research is needed to explore potential causal mechanisms.

While the importance of understanding digital transformation from a Human Resources (HR) perspective is widely acknowledged, a comprehensive analysis of the scholarly landscape remains limited. This study examines the scientific production on digital transformation and HR within the Web of Science database, analyzing bibliometric indicators of production, visibility, impact, and collaboration. The results reveal that digital transformation is a recent, relevant, and transdisciplinary construct that significantly influences talent management strategies and necessitates new skill sets within HR functions. This impact requires organizations to proactively develop digital skills, facilitating a regulated and controlled transition during the implementation of digital strategies. Specifically, organizations must focus on fostering employee adaptability and promoting work-life balance in this rapidly changing environment. Building on these findings, future research could benefit from employing mixed-methods approaches, combining quantitative bibliometric analysis with qualitative case studies to explore the contextual factors influencing the complex relationship between digital transformation and HR, such as organizational culture and leadership styles.

Abstract Professional drivers often have problems sleeping or resting properly. This may be due to various factors, both personal and specific to their working conditions. In this study, we set out to develop a predictive model for the quality of sleep in professional drivers using the following indicators: Age, Gender, Seat Comfort, Seat Suspension, Adjustable Lumbar Support of the Driver's Seat, Driving Hours, Musculoskeletal Problems, Driver Stress, Irritation, Resistant Personality, Burnout, Safety Behaviors and Impulsivity. Method: The participants were 369 professional drivers from different transport sectors, obtained through non-probabilistic sampling. The SPSS 25.0 program was used for statistical analysis. Results: The predictive capacity of certain variables that affect drivers' sleep quality is determined. Conclusions: Sleep quality can be predicted by means of certain variables, the best predictor of which is Exhaustion (Burnout). This research contributes to the body of knowledge on sleep quality and on improving the health of professional drivers.

Antecedentes: El objetivo de este estudio fue realizar un estudio correlacional-predictivo de las variables antecedentes de la Pasión por el trabajo. Método: Los participantes han sido 513 trabajadores (48,1 % hombres, 51,9 % mujeres), obtenidos mediante un muestreo no probabilístico. Se han utilizado los programas FACTOR (versión 7.2) y SPSS 20.0. Resultados: se determina la capacidad predictiva de variables como Personalidad, Engagement, Autoeficacia, ICO, Satisfacción por la vida y Estilo de vida sobre la Pasión por el trabajo. Conclusiones: La Pasión por el Trabajo se puede predecir de la siguiente manera: La Pasión Armoniosa de forma directa con las variables Dedicación, Crecimiento, Actividad física, Satisfacción con la vida y Responsabilidad excesiva, y de manera inversa con el Vigor. Mientras que la Pasión Obsesiva a través de las variables Absorción y Responsabilidad excesiva y de manera negativa la Satisfacción con la vida, la Apertura a la experiencia y la Amabilidad. The aim of this study was to conduct a correlational-predictive study of the antecedent variables of Passion towards Work. The participants were 513 workers (48.1% male, 51.9% female), obtained through non-probability sampling. We used the FACTOR 7.2 and SPSS 22.0. In the results we find that variables such as Personality, Engagement, Self-efficacy, obsessive-compulsive component, Life satisfaction and Lifestyle were predictive of Passion towards Work. In conclusion Passion towards Work can be predicted as follows: The variables Dedication, Growth, Physical activity, Satisfaction with life and Excessive responsibility were direct predictors of Harmonious Passion whereas Vigor was an inverse predictor. Similarly, the variables Absorption and Excessive responsibility were predictors of Obsessive Passion, whereas Satisfaction with life, Openness to experience and Kindness were negative predictors.

Abstract The objective of the present study is to analyze whether the variable Curiosity is a moderating variable between Impulsivity and Entrepreneurial Orientation. The multi-occupational sample of 883 Spanish and Colombian employees (49% men, 51% women) was obtained through non-probabilistic sampling. The data collected were processed with the SPSS 23.0 program. Statistically significant correlations were found among all the research variables except for Functional Impulsivity. Finally, empirical evidence indicates that Curiosity-D plays a moderating role between Dysfunctional Impulsivity and Entrepreneurial Orientation in the sense that Curiosity-D (understood as a quantitative variable) affects the intensity of the relationship between Dysfunctional Impulsivity (predictor variable) and Entrepreneurial Orientation (criterion variable).

The objective of this study was to adapt and validate the Recovery Experience Questionnaire for use in an educational context. So far, this measure of detachment has mainly been used with workers. The study aimed to verify the factor validity and the criterion-related validity through correlation with self-regulation, engagement, coping strategies, and big-five personality dimensions in a sample of 468 Spanish university students. Several models proposed in the literature have been tested through confirmatory factor analysis. The results obtained confirmed the presence of four factors: psychological detachment, relaxation, mastery and control, as observed in previous studies within a workplace setting. Correlations obtained between these factors and the variables considered verified that detachment is significantly and positively associated with self-regulation, engagement, coping strategies, and certain types of personality; on the other side, detachment is significantly and negatively associated with irritation.

Antecedentes: Estudios recientes has sugerido que hay relación entre algunas variables de personalidad y la adicción al trabajo. En el presente trabajo nos hemos planteado el objetivo de realizar un estudio Predictivo de las variables antecedentes del Work Craving a través de las variables Impulsividad, Personalidad, Perfeccionismo, autoestima y Autoeficacia. Método: Los participantes han sido 332 trabajadores, obtenidos mediante un muestreo no probabilístico. Se han utilizado los programas FACTOR (versión 7.2) y SPSS 23.0. Resultados: se determina la capacidad predictiva de variables de personalidad y autoestima sobre el Work Craving. Conclusiones: El Work Craving se puede predecir a través de determinadas variables (Estabilidad emocional, Perfeccionismo y autoestima), contribuyendo la presente investigación a un mayor conocimiento de la Adicción al Trabajo y a la potenciación de un estilo de vida saludable que se puede ver afectado por la Adicción al Trabajo. Background: Recent studies have suggested a relationship between certain personality variables and work addiction. In the present work we conduct a predictive study of the background variables of work craving through the variables Impulsivity, Personality, Perfectionism, Self-esteem and Self-efficacy. Method: The participants were 332 workers obtained by non-probability sampling. We used the FACTOR programs (version 7.2) and SPSS 23.0. Results: The predictive capacity of personality variables and self-esteem is determined on the work craving. Conclusions: Work craving can be predicted through certain variables (Emotional Stability, Perfectionism and Self-esteem). This research contributes to greater knowledge of work addiction and to the empowerment of a healthy lifestyle that can be affected by addiction to work. No funding has been received to make this article.

Passion at work has a great influence on the occupational health of workers. Vallerand and his collaborators have defined two types of passion, Harmonious and Obsessive . In the first type, people feel obliged to carry out an activity but freely decide to do it and do so in harmony with other aspects of their lives. And in the second, although the person likes the activity, they feel obliged to take part in it because of internal circumstances that exercise control over them.   In this context, the objective was to adapt Vallerand and Houlfort’s Passion towards Work Scale (PTW) into Spanish. The participants were 513 workers, selected through non-probability sampling. We used the FACTOR program (version 7.2) and SPSS 20.0. The results of the CFA (ESEM) for the PTW scale supported the two-factor model (Harmonious Passion and Obsessive Passion), presented adequate reliability and evidence of validity with Burnout, Irritation, Engagement and Self-Efficacy.  The PTW Scale and Questionnaire are reliable and valid instruments, suitable for being used in Spanish. 

The objective of the present study was to draw up a Spanish adaptation for university students of the School Burnout Inventory (SBI) 9-item scale. This entailed a double adaptation, on the one hand from English into Spanish and then from secondary school students to university students. The scale was applied to 578 university students (25.7% men; 74.3% women) from different regions in Spain. The findings indicate that the University students-SBI has the same structure as the original version in English for secondary school students. This was confirmed by factor analysis that pointed to the existence of three factors: Exhaustion, Cynicism and Inadequacy. Furthermore, the three subscales showed acceptable reliability (between .77 and .70) In addition to this, indications of validity were found using eighteen external correlates and seven contrast scales. Finally the SBI-U constitutes a potentially useful instrument for evaluating academic burnout in university students.