With the rise of positive psychology, educators gradually pay attention to the construction of psychological capital of college students. Mindfulness is linked to learning burnout; however, little research has examined how mindfulness is associated with learning burnout via future time perspective. The aims of this study were to investigate the relationship between mindfulness state, future time perspective and learning burnout of college students, and explore the mediating effect of future time perspective on mindfulness and learning burnout. A cross-sectional design was used. A total of 358 college students were enrolled from Harbin Medical university. General information questionnaire, the Five Facet Mindfulness Questionnaire (FFMQ), the learning burnout scale and The Future Time Perspective Scale were used for investigation. Calculations were performed using SPSS Statistics, version 25. There was negative correlation between positive mindfulness and learning burnout (r = -0.41, P < .01), and positive correlation between future time perspective and mindfulness (r = 0.38, P < .01), and negative correlation with learning burnout (r = -0.37, P < .01). Furthermore, future time perspective (β = -0.40, P < .01) had a significant mediating effect on the relationship between mindfulness and learning burnout. Educators should improve the mindfulness of college students by developing and implementing future time perspective, in order to improve their learning burnout.
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http://dx.doi.org/10.1097/MD.0000000000033740 | DOI Listing |
Front Public Health
January 2025
Department of Emergency Medicine and West China School of Nursing, West China Hospital, Sichuan University, Chengdu, China.
Background: Emergency nurses experience high stress, but the mechanisms linking effort-reward imbalance to health outcomes are unclear. Work-family conflict might mediate this relationship, and intrinsic effort could moderate it. This study aimed to explore these interactions and their impact on nurse health.
View Article and Find Full Text PDFIntroduction: Addressing physician burnout is critical for healthcare systems. As electronic health record (EHR) workload and teamwork have been identified as major contributing factors to physician well-being, we aimed to mitigate burnout through EHR-based interventions and a compassion team practice (CTP), targeting EHR workload and team cohesion.
Methods: A modified stepped wedge-clustered randomized trial was conducted, involving specialties with heavy InBasket workloads.
J Med Educ Curric Dev
January 2025
Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA.
Introduction: Inpatient psychiatry faculty manage complex clinical, administrative, and legal issues amid increasing mental health service utilization rates, limiting time for (1) focusing on lifelong learning and (2) connecting. We examined the impact of a monthly journal club on inpatient psychiatry faculty's (1) confidence that their practice is evidence informed, (2) stress related to board recertification, and (3) sense of connectedness with peers.
Methods: We employed a primarily qualitative approach using semi-structured interviews and brief survey questions to elicit input from inpatient psychiatry faculty at an academic medical center on their experience participating in a monthly journal club, including perceived changes in one's practice of evidence-based medicine, recertification stress, and connectedness with peers.
Handchir Mikrochir Plast Chir
January 2025
Division of Hand, Plastic and Aesthetic Surgery, Klinikum der LMU, Ludwig-Maximilians Universität, Munich, Germany.
Introduction: The entrance of Generation Z (born 1997-2012) into professional life, including the practice of medicine, marks a transformational shift in priorities and values. This generation, shaped by digital immersion and a strong focus on work-life balance, is redefining the landscape of Plastic Surgery. Their preferences for inclusivity, innovation, and structured working hours challenge traditional models of mentorship, patient care, and surgical training.
View Article and Find Full Text PDFJ Med Syst
January 2025
Edward J. Bloustein School of Planning and Public Policy, Rutgers, The State University of New Jersey, 255, Civic Square Building 33 Livingston Ave #400, New Brunswick, NJ, 08901, USA.
Generative Artificial Intelligence (Gen AI) has transformative potential in healthcare to enhance patient care, personalize treatment options, train healthcare professionals, and advance medical research. This paper examines various clinical and non-clinical applications of Gen AI. In clinical settings, Gen AI supports the creation of customized treatment plans, generation of synthetic data, analysis of medical images, nursing workflow management, risk prediction, pandemic preparedness, and population health management.
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