Public health strategies have placed increasing emphasis on psychosocial and arts-based strategies for promoting well-being. This study presents preliminary findings for a specific literary-based intervention, Shared Reading, which provides community-based spaces in which individuals can relate with both literature and one another. A 12-week crossover design was conducted with 16 participants to compare benefits associated with six sessions of Shared Reading versus a comparison social activity, Built Environment workshops. Data collected included quantitative self-report measures of psychological well-being, as well as transcript analysis of session recordings and individual video-assisted interviews. Qualitative findings indicated five intrinsic benefits associated with Shared Reading: liveness, creative inarticulacy, the emotional, the personal and the group (or collective identity construction). Quantitative data additionally showed that the intervention is associated with enhancement of a sense of 'Purpose in Life'. Limitations of the study included the small sample size and ceiling effects created by generally high levels of psychological well-being at baseline. The therapeutic potential of reading groups is discussed, including the distinction between instrumental and intrinsic value within arts-and-health interventions.
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http://dx.doi.org/10.1136/medhum-2015-010704 | DOI Listing |
Nat Cancer
January 2025
Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Human tumors are diverse in their natural history and response to treatment, which in part results from genetic and transcriptomic heterogeneity. In clinical practice, single-site needle biopsies are used to sample this diversity, but cancer biomarkers may be confounded by spatiogenomic heterogeneity within individual tumors. Here we investigate clonally expressed genes as a solution to the sampling bias problem by analyzing multiregion whole-exome and RNA sequencing data for 450 tumor regions from 184 patients with lung adenocarcinoma in the TRACERx study.
View Article and Find Full Text PDFBackground: Early detection of Mild Cognitive Impairment (MCI) is crucial for effective prevention. Traditional methods like expert judgment, clinical evaluations, and manual linguistic analyses are now complemented by Artificial Intelligence (AI). AI offers new avenues for identifying linguistic, facial, and acoustic markers of MCI.
View Article and Find Full Text PDFFront Artif Intell
December 2024
Department of Medical Education and Clinical Skills, California University of Science and Medicine, Colton, CA, United States.
Introduction: As artificial intelligence systems like large language models (LLM) and natural language processing advance, the need to evaluate their utility within medicine and medical education grows. As medical research publications continue to grow exponentially, AI systems offer valuable opportunities to condense and synthesize information, especially in underrepresented areas such as Sleep Medicine. The present study aims to compare summarization capacity between LLM generated summaries of sleep medicine research article abstracts, to summaries generated by Medical Student (humans) and to evaluate if the research content, and literary readability summarized is retained comparably.
View Article and Find Full Text PDFPharmaceuticals (Basel)
December 2024
School of Pharmacy, University of Reading, Whiteknights, Reading RG6 6AJ, UK.
Recent studies, typically using patient cerebrospinal fluid (CSF), have suggested that different autoantibodies (Aabs) acting on their respective receptors, may underlie neuropsychiatric disorders. The GluN1 (NR1) subunit of the N-methyl-D-aspartate receptor (NMDAR) has been identified as a target of anti-NMDAR Aabs in a number of central nervous system (CNS) diseases, including encephalitis and autoimmune epilepsy. However, the role or the nature of Aabs responsible for effects on neuronal excitability and synaptic plasticity is yet to be established fully.
View Article and Find Full Text PDFPathogens
December 2024
Department of Urology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.
: Urinary tract infections (UTIs) are among the most prevalent bacterial infections. With many patients turning to the Internet as a health resource, this study seeks to understand public engagement with online resources concerning recurrent UTIs (rUTIs), assess their reliability, and identify common questions/concerns about rUTIs. : Social media analysis tool BuzzSumo was used to calculate online engagement (likes, shares, comments, views) with information on rUTIs.
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