Objective: To assess the content, reliability and quality of information regarding vesicoureteral reflux in YouTube videos, as a source of patient information.
Materials And Methods: In this cross-sectional study, a YouTube search with the keyword "vesicoureteral reflux" was performed on April 15, 2021, and the first 150 videos were listed according to relevancy. Advertisements, duplicate videos, videos in languages other than English, and videos without audio were excluded. Video features (time since upload, run time, number of like, dislike, views and comments) and source of upload were recorded. The quality, reliability and accuracy of the information were evaluated independently by an urologist and a pediatrician using the Journal of American Medical Association (JAMA) score, the 5-point modified DISCERN tool and the Global Quality Score (GQS). Video quality was assessed according to the source of upload and video features. The correlation analysis was performed between video features, GQS, JAMA and DISCERN scores.
Results: A total number of 125 videos were analyzed. The most common source of upload was hospital, clinician, practice (43.2%) and the majority of the content (25.6%) was about symptoms and diagnosis options. The median JAMA score, modified DISCERN score and GQS was 3 (1-4) (1-5) (1-5), respectively. JAMA scores were significantly higher in videos that were uploaded by hospital, clinician, practice (except tv programs). Modified DISCERN scores and GQS scores of videos uploaded by hospital, clinician, practice was significantly higher than Industry, advertisements, for profit-organizations and individual users, patients (see Summary Table). There is a positive correlation between the number of likes and VPI as well as JAMA, DISCERN, and GQS scores.
Conclusions: There is a significant amount of VUR-related content on YouTube and the source of the vídeo influences on quality. Almost half of the vídeos have poor quality, and people apparently choose videos that are technically better, and "technical" videos over "experiential" ones.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jpurol.2021.10.006 | DOI Listing |
Tob Control
January 2025
Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
Background: Social media influencers who promote e-cigarettes on Instagram or TikTok for tobacco brands use marketing tactics to increase the appeal of their promotional content, for example, depicting e-cigarettes alongside healthy lifestyle or entertainment imagery that could decrease youths' risk perceptions of e-cigarettes. Monitoring the prevalence of such content on social media using computer vision and generative AI (artificial intelligence) can provide valuable data for tobacco regulatory science (TRS).
Methods: We selected 102 Instagram and TikTok videos posted by micro-influencers in 2021-2024 who promoted e-cigarettes alongside posts featuring four themes: cannabis, entertainment, fashion or healthy lifestyle.
Health Promot Pract
January 2025
Indiana University, Indianapolis, IN, USA.
Online exercise videos can reach adolescents who lack access to in-person physical activity (PA). Yet, health professionals are wary of recommending online exercise resources because most free videos fail to represent diverse teens and perpetuate harmful norms. Our study had two purposes.
View Article and Find Full Text PDFPLoS One
January 2025
College of Education for the Future, Beijing Normal University, Zhuhai, Guangdong, China.
Personalized sports training plans are essential for addressing individual athlete needs, but traditional methods often need to integrate diverse data types, limiting adaptability and effectiveness. Existing machine learning (ML) and rule-based approaches cannot dynamically generate context-specific training programs, reducing their applicability in real-world scenarios. This study aims to develop a Generative Adversarial Network (GAN)- based framework to create context-specific training plans by integrating numeric attributes (e.
View Article and Find Full Text PDFR Soc Open Sci
January 2025
Department of Pure and Applied Chemistry, University of Strathclyde, Glasgow, Scotland G1 1RD, UK.
Chemistry has found broad appeal on the freely available global video-sharing platform YouTube, with some YouTube videos even being cited in the peer-reviewed chemistry literature. By applying both manual and semi-automated search methods, we identified, categorized and analysed publicly available data for 1619 chemistry YouTube channels that were available in 2023. Forty-nine per cent of channels were active in 12 months prior to sampling.
View Article and Find Full Text PDFJ Clin Monit Comput
January 2025
Department of Electrical Engineering, Eindhoven University of Technology, Groene Loper 3, 5612 AZ, Eindhoven, the Netherlands.
Unobtrusive pulse rate monitoring by continuous video recording, based on remote photoplethysmography (rPPG), might enable early detection of perioperative arrhythmias in general ward patients. However, the accuracy of an rPPG-based machine learning model to monitor the pulse rate during sinus rhythm and arrhythmias is unknown. We conducted a prospective, observational diagnostic study in a cohort with a high prevalence of arrhythmias (patients undergoing elective electrical cardioversion).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!