Purpose: To investigate emotional intelligence (EI) development in physician assistant (PA) students as they progress through their didactic education.
Methods: Data were gathered through an online survey of EI distributed to a purposeful sample of 5 institutions with similar curriculum length and start dates. Program directors forwarded the survey to students at the start of their didactic education (pretest). Follow-up surveys were distributed via email to the students at the end of their didactic education (posttest). The survey consisted of 33 items related to 4 subscales of EI. Participants' age, gender, and previous healthcare experience were gathered. Five repeated measures ANOVAs were calculated for each EI summary score. Independent sample t-tests were conducted between pretest scores and a previously established EI mean.
Results: A total of 192 first-year students were solicited. A sample of 68 (16 males; 52 females) served as participants. No results were attained for gender or age due to unbalanced sample sizes. Significant results were realized for total EI and the Managing Others' Emotions subscale.
Conclusion: Participants with more than one healthcare experience demonstrated significantly high emotional intelligence on the pretest. Participants with one healthcare experience demonstrated a significant increase in total EI and the Managing Others' Emotions subscale. The main limitation of the study was the attrition of participants between measures. Future research is needed to assess EI at the end of the clinical year, after a period of clinical experience, and to determine which educational activities are most likely to enhance EI.
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http://dx.doi.org/10.1097/JPA.0000000000000382 | DOI Listing |
PLoS One
January 2025
Department of Computer Science, IT University of Copenhagen, Copenhagen, Denmark.
Engaging in the deliberate generation of abnormal outputs from Large Language Models (LLMs) by attacking them is a novel human activity. This paper presents a thorough exposition of how and why people perform such attacks, defining LLM red-teaming based on extensive and diverse evidence. Using a formal qualitative methodology, we interviewed dozens of practitioners from a broad range of backgrounds, all contributors to this novel work of attempting to cause LLMs to fail.
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January 2025
Universitas Islam Negeri Syarif Hidayatullah, Faculty of Adab and Humanities, Jakarta, Indonesia.
Introduction: As an occupational therapist, listening and empathy are critical components of practice because they are the foundation for developing therapeutic rapport with patients and their relatives. Currently, there is still no study regarding the level of empathy and listening styles among Occupational therapists in Malaysia. This study investigates the level of empathy and listening styles among occupational therapists in Malaysia and to examine their correlations.
View Article and Find Full Text PDFNat Ment Health
January 2025
Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Unhealthy eating, a risk factor for eating disorders (EDs) and obesity, often coexists with emotional and behavioral problems; however, the underlying neurobiological mechanisms are poorly understood. Analyzing data from the longitudinal IMAGEN adolescent cohort, we investigated associations between eating behaviors, genetic predispositions for high body mass index (BMI) using polygenic scores (PGSs), and trajectories (ages 14-23 years) of ED-related psychopathology and brain maturation. Clustering analyses at age 23 years ( = 996) identified 3 eating groups: restrictive, emotional/uncontrolled and healthy eaters.
View Article and Find Full Text PDFACS Med Chem Lett
January 2025
Usona Institute, Fitchburg, Wisconsin 53711-5300, United States.
This Patent Highlight explores recent innovations in neuroscience and neurotechnology, particularly in brain monitoring and stimulation. It examines four essential patents: novel psychoplastogens for neuronal growth, techniques for transferring emotional states, and advanced systems for self-guided neural diagnostics and treatment. The discussion extends to deep brain stimulation (DBS) for motor and memory disorders, enhanced brain function monitoring through electroencephalography (EEG), and the role of artificial intelligence in personalizing treatment strategies.
View Article and Find Full Text PDFJpn J Nurs Sci
January 2025
Department of Psychiatric Nursing, Tohoku University Graduate School of Medicine, Sendai-shi, Japan.
Aim: Self-stigma is a major factor preventing the recovery of individuals with schizophrenia. Psychosocial interventions can reduce self-stigma, and mental health nurses may play a crucial role in leading them, but little is known about the modifiable factors that should be targeted. We aimed to investigate the association between self-stigma and self-compassion in patients with schizophrenia from admission to the first follow-up after discharge.
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