Objectives: In order to explore the influence mechanism of family environment on the prosocial behavior tendency of college students and the chain mediating role of empathy and moral sensitivity in this relationship. Methods: A survey was conducted on 451 college students using the Family Adaptability and Cohesion scales, the Dispositional Moral Sensitivity Questionnaire, the Prosocial Tendencies Measure and the Chinese Version of the Interpersonal Reactivity Index-C. Results: The results showed that empathy and moral sensitivity significantly mediate the effect of family environment on college students’ prosocial behavior tendency. This is manifested in three mediation paths: the mediating role of empathy (with 28.57% of the mediating effect), the mediating role of moral sensitivity (with 61.90% of the mediating effect), and the chain mediating role of empathy and moral sensitivity (with 9.53% of the mediating effect). Conclusions: The study reveals the mechanism by which family environment affects college students’ prosocial behavior, which provides some theoretical guidance and practical inspiration for cultivating college students’ prosocial behavior.

Background: Autistic traits in the general population are linked to emotional regulation difficulties and aggression, affecting psychological adaptation. Tai Chi, a mind–body exercise, may improve psychological well-being. Methods: This study adopted a mixed-methods approach combining questionnaire surveys and experimental intervention. In Study 1, the Autism Spectrum Quotient (AQ) was used to assess the current status of autistic traits among university students. In Study 2, a group of university students with high levels of autistic traits participated in an 8-week Tai Chi intervention. Changes in autistic traits, emotional regulation self-efficacy (ERSE), and aggressive behavior (Reactive-Proactive Aggression Questionnaire, RPQ) were measured before and after the intervention. Results: The results indicated that overall autistic traits among university students were at a moderate level. Males scored significantly higher than females on the AQ total score and on the dimensions of communication and imagination. Following the Tai Chi intervention, participants showed a significant reduction in overall AQ scores, particularly in attention switching and attention to detail. Conclusion: Tai Chi training demonstrates positive effects on emotional regulation and behavioral control among university students with autistic traits. Future research should further explore the underlying mechanisms and broader applicability of such interventions.

Introduction: Digital technologies play an increasingly important role in supporting active ageing. Although research in this area has grown rapidly, the literature remains fragmented, and its underlying knowledge structure is not well understood. This study aims to map the research landscape of digital technologies supporting active ageing and to examine how different research streams are organized and interconnected. Methods: Bibliographic data were retrieved from the Web of Science Core Collection on January 2, 2026, yielding 837 publications from 2006 to 2025. Bibliographic coupling and co-word analyses were conducted using VOSviewer to examine intellectual structures and thematic patterns. Results: The results indicate a substantial increase in publications after 2018, reflecting growing scholarly attention. Five major research clusters were identified, including technology adoption and enabling environments, digital lifestyle interventions, digital participation and smart environments, eHealth-based behavior change, and machine learning-based ageing assessment. Co-word analysis further reveals key themes related to digital inclusion, physical activity, health risk analytics, and quality of life. While the field is shifting toward functional ability, participation, and personalized digital support, emerging areas such as AI-based ageing assessment remain at an early stage and should be interpreted cautiously. Conclusion: This study maps the research field and highlights how digital technologies are increasingly embedded within sociotechnical systems shaped by both opportunities and constraints. Given the descriptive nature of bibliometric analysis, the findings should be interpreted with caution. Future research should move beyond descriptive mapping to examine the effectiveness and contextual conditions of digital interventions in supporting active ageing.

Convergent thinking is a critical aspect of creative thinking, and it has a substantial influence on the learning and work of college students. Emotion regulation not only enhances emotional well-being but also plays a vital role in the creative process. Additionally, various social and cognitive factors contribute to the completion of complex convergent thinking tasks, with cognitive load being one of the primary determinants. This study recruited 93 undergraduates as participants and randomly divided them into three groups: cognitive reappraisal, expressive suppression, and free viewing. All participants were required to complete a convergent creativity test (Chinese compound remote associate problems, CCRA) under high and low cognitive load conditions. The results showed a significant main effect of cognitive load on convergent thinking scores, with participants achieving higher scores under low cognitive load than under high cognitive load. However, the interaction between cognitive load and emotion regulation strategy on convergent thinking scores was not significant. Response time analyses revealed a significant interaction between cognitive load and regulation strategy: under high cognitive load, cognitive reappraisal was associated with faster responses than free viewing, whereas under low cognitive load, expressive suppression led to faster responses than both cognitive reappraisal and free viewing. This study explored the impact of emotion regulation on convergent thinking under different cognitive loads, which has certain implications for the optimization of college students’ mental and physical health and academic performance.

Background: Autistic traits are increasingly conceptualized as continuously distributed characteristics present across the general population rather than being confined to clinically diagnosed autism spectrum disorder. Over the past 2 decades, research on autistic traits has expanded rapidly, yet a comprehensive overview of its knowledge structure, developmental trajectory, and emerging frontiers remains lacking. This study aims to systematically map the research landscape on autistic traits in the general population and to identify key themes, evolutionary patterns, and research frontiers. Methods: A bibliometric analysis was conducted using publications indexed in the Web of Science Core Collection from 2008 to 2023. CiteSpace and VOSviewer were employed to analyze co-authorship, co-citation, keyword co-occurrence, and burst terms. Standard parameter settings were applied to ensure analytical robustness, and exploratory adjustments confirmed the stability of the overall network structure. Thematic clusters and temporal evolution were examined to reveal the conceptual organization and dynamic development of the field. Results: The results indicate a steady growth in publications on autistic traits in the general population since 2008. Four major thematic domains were identified: measurement of autistic traits and individual differences, autistic traits and comorbidity, biological and genetic mechanisms, and cognitive and behavioral characteristics. Burst term analysis revealed a shift in recent years toward outcome-oriented and socially relevant topics, with sex differences and quality of life emerging as prominent research frontiers. These trends reflect increasing attention to sex-sensitive measurement, psychosocial functioning, and lived experience beyond categorical diagnosis. Conclusions: This bibliometric study provides a comprehensive overview of the intellectual structure and evolving frontiers of research on autistic traits in the general population. The findings highlight a conceptual transition from trait measurement and mechanistic exploration toward functional outcomes, well-being, and sex-sensitive perspectives. These insights may inform future research directions, measurement refinement, and the development of more inclusive frameworks for understanding autistic traits across diverse populations.