Biased language related to sexual orientation is used frequently among students and is related to prominent social concerns such as bullying. Prejudice toward gay, lesbian, bisexual, and transgender individuals also has been examined among adolescents, but separately from these behaviors. This study tested whether biased language use was associated with bullying and dominance irrespective of sexual prejudice or if sexual prejudice moderated these associations among 290 high school students (50% female; 56% White). Sexual prejudice was associated with biased language use among boys only. Biased language was associated with bullying regardless of levels of sexual prejudice for boys. However, this association was dependent on sexual prejudice for girls. For dominance behavior, its association with biased language was moderated by sexual prejudice for boys, but not girls. However, girls' engagement in all behaviors was significantly less than boys. These results indicate nuanced ways in which multiple factors contribute to the use of sexual orientation biased language. Also, they underscore the need to address biased language and prejudice as part of anti-bullying programs.
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http://dx.doi.org/10.1007/s10964-010-9565-y | DOI Listing |
J Imaging Inform Med
January 2025
Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Exam protocoling is a significant non-interpretive task burden for radiologists. The purpose of this work was to develop a natural language processing (NLP) artificial intelligence (AI) solution for automated protocoling of standard abdomen and pelvic magnetic resonance imaging (MRI) exams from basic associated order information and patient metadata. This Institutional Review Board exempt retrospective study used de-identified metadata from consecutive adult abdominal and pelvic MRI scans performed at our institution spanning 2.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Department of Medicine and Optometry, eHealth Institue, Linnaeus University, Kalmar, Sweden.
Background: Health worker migration from Nigeria poses significant challenges to the Nigerian health care sector and has far-reaching implications for health care systems globally. Understanding the factors driving migration, its effects on health care delivery, and potential policy interventions is critical for addressing this complex issue.
Objective: This study aims to comprehensively examine the factors encouraging the emigration of Nigerian health workers, map out the effects of health worker migration on the Nigerian health system, document the loss of investment in health training and education resulting from migration, identify relevant policy initiatives addressing migration, determine the effects of Nigerian health worker migration on destination countries, and identify the benefits and demerits to Nigeria of health worker migration.
Int Urol Nephrol
January 2025
Department of Urology, Faculty of Medicine, Cairo University, Cairo, Egypt.
Objective: To evaluate the outcomes and efficacy of robot-assisted radical prostatectomy (RARP) using the Versius robotic surgical system, aiming to provide comprehensive data on perioperative outcomes, postoperative recovery, and complications.
Patient And Methods: All cases of RARP using the CMR Versius platform performed at Cairo University Hospital over a two-year period were enrolled in this study. All patients had pathologically confirmed prostate cancer in both localized and locally advanced stages.
Abdom Radiol (NY)
January 2025
Kerman University of Medical Sciences, Kerman, Islamic Republic of Iran.
Background And Aim: Prior investigations of the natural history of abdominal aortic aneurysms (AAAs) have been constrained by small sample sizes or uneven assessments of aggregated data. Natural language processing (NLP) can significantly enhance the investigation and treatment of patients with AAAs by swiftly and effectively collecting imaging data from health records. This meta-analysis aimed to evaluate the efficacy of NLP techniques in reliably identifying the existence or absence of AAAs and measuring the maximal abdominal aortic diameter in extensive datasets of radiology study reports.
View Article and Find Full Text PDFCochrane Database Syst Rev
January 2025
Cornell Joan Klein Jacobs Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, USA.
Background: Precision nutrition-based methods develop tailored interventions and/or recommendations accounting for determinants of intra- and inter-individual variation in response to the same diet, compared to current 'one-size-fits-all' population-level approaches. Determinants may include genetics, current dietary habits and eating patterns, circadian rhythms, health status, gut microbiome, socioeconomic and psychosocial characteristics, and physical activity. In this systematic review, we examined the evidence base for the effect of interventions based on precision nutrition approaches on overweight and obesity in children and adolescents to help inform future research and global guidelines.
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