Determining what factors influence the psychological well-being of undergraduate university students may provide valuable information to inform the development of intervention programs and targeted learning activities. The objective of this study was to investigate the correlation between psychological well-being in university students and their self-reported learning styles and methodologies, social skills, emotional intelligence, anxiety, empathy and self-concept. The final sample consisted of 149 Spanish university students, with an average age of 21.59 years (SD = 4.64). Psychological well-being dimensions, along with learning style and methodology preferences, social skills, level of social responsibility, emotional intelligence, state and trait anxiety, empathy and levels of self-concept were measured using a series of validated self-report scales. The results indicate that the total variance explained by the university students’ psychological well-being factors were as follows: i) self-acceptance dimension (R² = 0.586, F(6,99) = 23.335, p < 0.001); ii) positive relationships dimension (R² = 0.520, F(6,99) = 17.874, p < 0.001); iii) autonomy dimension (R² = 0.313, F(4,101) = 11.525, p < 0.001); iv) environmental mastery dimension (R² = 0.489, F(4,101) = 24.139, p < 0.001); v) personal growth dimension (R² = 0.354, F(4,101) = 13.838, p < 0.001); and vi) purpose-in-life dimension (R² = 0.439, F(4,101) = 19.786, p < 0.001). The study findings may be used to inform new educational policies and interventions aimed at improving the psychological well-being of university students in the international context.

Adaptive sports could produce multiple health benefits in people with physical disabilities. The aim is to evaluate if adaptive sports practice has an influence on physical and mental quality of life. A meta-analysis was performed using electronic databases and other sources. A within- and between-group analysis for physical and mental quality of life was conducted. Standardized mean difference (SMD) was used as a measure of the mean size effect. The statistical heterogeneity, the risk of bias, and the quality of evidence were evaluated. Eight studies met the inclusion criteria and four of them were included in the meta-analysis. In mental quality of life, significant differences were observed in the within-group analysis (SMD = 0.71, p < 0.001) and between people practicing adaptive sports and those not engaging in them (SMD = 0.62, p = 0.009). In physical quality of life, significant differences were also found between pre- and post-practice of adaptive sports (SMD = 1.03, p = 0.007). The engagement in adaptive sports showed a positive impact on the mental quality of life among adults with physical disabilities. However, the positive effect of adaptive sports practice on physical quality of life was shown only in the pre–post-test analysis. Further studies are required to validate the obtained findings.

The use of mobile devices is one of the increasingly interactive methodologies widely promoted within the European Higher Education Area. It is, therefore, necessary to determine the potential effects of their excessive use on psychological and educational variables. The aim of the present study was to assess smartphone addiction and its relationship with emotional, cognitive, and educational dimensions in university students. Participants comprised 144 university students aged between 19 and 27 years old and studying psychology and education at the University of Granada. Various tests were administered to assess variables grouped into the following dimensions: smartphone addiction (TDM), general intelligence (Wonderlic), emotional intelligence (TMMS-24), motivation (Mape-3), creativity (CREA test), and attitudes toward competencies. An ex post facto design was employed. Direct associations were observed between addiction symptoms caused by smartphone use (withdrawal, tolerance, excessive use, and problems caused by the same) and the variables of extrinsic motivation (fear and avoidance of the task) and intrinsic motivation (motivation toward the task). The results also indicated direct relationships between the problems caused by excessive smartphone use and anxiety and extrinsic motivation toward learning. An inverse relationship was observed between smartphone addiction and the emotional intelligence dimension of clarity of feelings. The anxiety provoked by excessive smartphone use was related to the tolerance generated by such use and to cultural and artistic competencies. The data obtained thus shed light on the effect of smartphone use on emotional, cognitive, and educational dimensions in university settings.

Introduction: Burnout syndrome has been characterized as a process of chronic responses to occupational stress in certain employee groups. However, this phenomenon has also been reported in other participant groups including university students. The Maslach Burnout Inventory-Student Survey (MBI-SS), composed of the Exhaustion, Cynicism and Efficacy subscales, was used to evaluate burnout in this sample group while the Utrecht Work Engagement Scale (UWES) was used to gather data related to engagement, a positive psychology construct composed of the three factors, namely vigor, dedication, and absorption. To date, no studies considered these factors in relation to occupational therapy students. This begs the question, is there a relationship between occupational therapy students’ self-reported levels of burnout and engagement? Objectives: The study objectives are to (1) ascertain the self-reported levels of burnout and engagement in a sample of Australian Occupational undergraduate therapy students, and (2) analyze the sociodemographic, occupational and academic characteristic associated with these levels. Methods: Participants were 225 Australian undergraduate occupational therapy students from Monash University completed the MBI-SS and the UWES for students. Descriptive, bivariate and multiple linear regression analyses were performed. Results: Regarding MBI-SS burnout dimensions, exhaustion was associated with age, year level of enrolment and hours of direct time spent working on occupational therapy studies, explaining 15% of its variance. Cynicism and efficacy were associated with age, year level of enrolment and hours of indirect time, accounting for 16% of its variance. For the UWES engagement dimensions, year level of enrolment and hours of indirect time spent working on occupational therapy studies were significant predictors of vigor, explaining 27% its variance while while age, gender, year level of enrolment, hours of indirect time spent working on occupational therapy studies, and hours spend per week engaged in self-care activities accounted for 23% of the variance of dedication. Finally, age, year level of enrolment, and hours of indirect time spent working on occupational therapy studies explained 27% of the variance of absorption. Conclusion: The results indicate that a number of demographic and academic study variables are significantly associated with burnout syndrome and education engagement reported by undergraduate occupational therapy students.

The population in developed countries is aging and this fact results in high elderly health costs, as well as a decrease in the number of active working members to support these costs. This could lead to a collapse of the current systems. One of the first insights of the decline in elderly people is frailty, which could be decelerated if it is detected at an early stage. Nowadays, health professionals measure frailty manually through questionnaires and tests of strength or gait focused on the physical dimension. Sensors are increasingly used to measure and monitor different e-health indicators while the user is performing Basic Activities of Daily Life (BADL). In this paper, we present a system based on microservices architecture, which collects sensory data while the older adults perform Instrumental ADLs (IADLs) in combination with BADLs. IADLs involve physical dimension, but also cognitive and social dimensions. With the sensory data we built a machine learning model to assess frailty status which outperforms the previous works that only used BADLs. Our model is accurate, ecological, non-intrusive, flexible and can help health professionals to automatically detect frailty.