Three variables have been hypothesized to play important roles in prolonging the course of depressive episodes: a ruminative response style, significant interpersonal relationships, and childhood adversity. The authors examined whether these variables predicted the short-term course of major depressive disorder (MDD). Participants (n = 84) were college students with a recent-onset major depressive episode. Assessments included several interview and self-report measures, and data on interpersonal relationships were obtained from close confidants. Follow-up interviews were conducted 6 months later. After controlling for baseline severity, harsh discipline in childhood significantly predicted mean level of depression across the follow-up and level of depression at follow-up. Harsh discipline was also significantly associated with relapse but not with recovery. After controlling for baseline severity, rumination and the interpersonal variables did not predict the outcome of MDD.
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http://dx.doi.org/10.1037//0021-843x.109.4.644 | DOI Listing |
Global Spine J
January 2025
Department of Science, Research and Education, BG Klinikum Bergmannstrost Halle, Halle, Germany.
Study Design: Multicenter, prospective observational cohort study.
Objectives: 109 patients with lumbar spine stenosis (LSS) undergoing minimally invasive decompression in 6 different centers (Germany, Italy, USA).
Methods: The demographic, surgical and clinical data was collected.
Bull World Health Organ
February 2025
Faculty of Bioethics, Universidad Anahuac México, Mexico City, Mexico.
The rising incidence of noncommunicable diseases, combined with the costs of mitigating climate change, sovereign debt and regional conflicts, is undermining global health security and threatening progress towards achieving the sustainable development goals of the United Nations. The negative impact of these polycrises is disproportionately borne by low- and middle-income countries, which have the highest disease burden and lowest health-care spending. Health digitalization is emerging as a promising countermeasure, accelerated by artificial intelligence (AI) software and quantum computing hardware.
View Article and Find Full Text PDFInt J Dev Disabil
October 2024
Department of Media Sciences, Anna University, Chennai, India.
The paper advocates for the necessity of inclusive media literacy education (MLE) and equal opportunities for young adults with autism spectrum disorder (ASD), which is in alignment with the United Nations Convention on the Rights of Persons with Disabilities (UNCRPD) 2008 and the Sustainable Development Goal 4 Quality Education (SDG, 2030). It underscores the commitment to 'leaving no one behind', a core tenet of the SDGs, by focusing on developing digital empathy and inclusive MLE for young adults with ASD in the digital age. The study aims to empower young adults with ASD in Chennai, India, with media literacy and digital empathy through a one-day hands-on workshop and to assess the impact of this educational intervention on their understanding and application of media literacy in their daily lives.
View Article and Find Full Text PDFFront Neurosci
January 2025
Department of Rehabilitation Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Background: Multiple system atrophy-cerebellar subtype (MSA-C) is a predominance of cerebellar ataxia and autonomic failure. MSA-C has a rapid progression, with average 9 years from symptom onset to death. Despite its prevalence, there is still a lack of effective treatments.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Background: Although artificial intelligence (AI) has gained increasing attention for its potential future impact on clinical practice, medical education has struggled to stay ahead of the developing technology. The question of whether medical education is fully preparing trainees to adapt to potential changes from AI technology in clinical practice remains unanswered, and the influence of AI on medical students' career preferences remains unclear. Understanding the gap between students' interest in and knowledge of AI may help inform the medical curriculum structure.
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