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Background: Polycystic ovary syndrome (PCOS) is a complex endocrine disorder affecting women of reproductive age, and it has emerged as a significant global public health issue. This study aimed to investigate the effects of web-based health education on nursing students' knowledge, adaptive healthy measures, and attitudes toward PCOS.
Methods: A two-group randomized controlled trial (RCT) with pre-test and immediate post-test assessments was conducted. Study participants were recruited using a simple random sampling method from the Faculty of Nursing, Mansoura University, Egypt. A questionnaire consisting of six sections was developed to collect data, which was analyzed with the SPSS 23.0 using Student's t-test, Pearson's correlation test, and chi-square test analysis of variance.
Results: The analysis revealed a significant increase in knowledge scores post-intervention, with the web-based learning groups (32.2 ± 10.5) outperforming the traditional learning group (22.1 ± 10.2), with (p < 0.05). Similarly, there was a notable improvement in adaptive healthy measures scores post-intervention, with the web-based learning group (8.9 ± 2.4) showing better results than the traditional group (6.5 ± 2.9), with (p < 0.05). In terms of attitudes toward PCOS, the web-based group (18.2 ± 4.9) displayed a significant improvement compared to the traditional group (11.7 ± 5.2), with (p < 0.05).
Conclusions: The findings suggest that web-based learning is more effective than traditional methods in enhancing nursing students' knowledge, adaptive healthy measures, and attitudes toward PCOS.
Trial Registration: This study was registered by Clinical Trials.gov Identifier: (NCT06192381|| https://www.
Clinicaltrials: gov/ ) on 5-1-2024.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11247781 | PMC |
http://dx.doi.org/10.1186/s12912-024-02015-7 | DOI Listing |
JMIR Ment Health
September 2025
National Institute of Health and Care Research MindTech HealthTech Research Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Background: Cross-sector collaboration is increasingly recognized as essential for addressing complex health challenges, including those in mental health. Industry-academic partnerships play a vital role in advancing research and developing health solutions, yet differing priorities and perspectives can make collaboration complex.
Objective: This study aimed to identify key principles to support effective industry-academic partnerships, from the perspective of industry partners, and develop this into actionable guidance, which can be applied across sectors.
JMIR Cancer
September 2025
iCARE Secure Data Environment & Digital Collaboration Space, NIHR Imperial Biomedical Research Centre, London, United Kingdom.
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View Article and Find Full Text PDFJ Med Internet Res
September 2025
School of Nursing, University of Minho, Braga, Portugal.
Background: The spread of misinformation on social media poses significant risks to public health and individual decision-making. Despite growing recognition of these threats, instruments that assess resilience to misinformation on social media, particularly among families who are central to making decisions on behalf of children, remain scarce.
Objective: This study aimed to develop and evaluate the psychometric properties of a novel instrument that measures resilience to misinformation in the context of social media among parents of school-age children.
Diabetologia
September 2025
Department of Diabetology and Internal Medicine, Medical University of Warsaw, Warsaw, Poland.
This review article, developed by the EASD Global Council, addresses the growing global challenges in diabetes research and care, highlighting the rising prevalence of diabetes, the increasing complexity of its management and the need for a coordinated international response. With regard to research, disparities in funding and infrastructure between high-income countries and low- and middle-income countries (LMICs) are discussed. The under-representation of LMIC populations in clinical trials, challenges in conducting large-scale research projects, and the ethical and legal complexities of artificial intelligence integration are also considered as specific issues.
View Article and Find Full Text PDFAnn Surg Oncol
September 2025
Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China.
Background: Postoperative late recurrence (POLAR) after 2 years from the date of surgical resection of hepatocellular carcinoma (HCC) represents a unique surveillance and management challenge. Despite identified risk factors, individualized prediction tools to guide personalized surveillance strategies for recurrence remain scarce. The current study sought to develop a predictive model for late recurrence among patients undergoing HCC resection.
View Article and Find Full Text PDF