Purpose: The aim of this study was to assess adolescents' awareness of cancer signs and symptoms, cancer risk factors, cancer screening programmes, and perceived barriers to seeking medical advice.
Methods: A cross-sectional survey was conducted using an adapted version of the adolescent cancer awareness tool which was originally modified from the Cancer Awareness Measure (CAM) (Version 2.1). The sample included 474 adolescents aged 15 to 18 years recruited from nine Irish schools between November 2021 and May 2022.
Results: Awareness of cancer warning signs and symptoms was low when open-ended (recall) questions were used and relatively high for closed (recognition) questions. Unexplained lump or swelling was the most frequently identified cancer symptom. The least reported were difficulty swallowing and a sore that does not heal. Smoking was the most reported cancer risk factor. The least reported were not eating enough fruit and vegetables, a diet high in fat, and infection with viruses. Generally, females had greater awareness than males. The greatest barrier to seeking help was "worry about what the doctor might find" and the least reported barrier was "I don't feel respected by the doctor."
Conclusions: Overall recognition of symptoms or risk factors of cancer was higher than recall. Several modifiable barriers to medical help-seeking were identified. Findings from this study suggest further exploration using a qualitative approach to investigate the factors influencing adolescents' cancer awareness and barriers to help-seeking.
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PLoS One
March 2025
Catherine McAuley School of Nursing and Midwifery, University College Cork, Cork, Ireland.
Purpose: The aim of this study was to assess adolescents' awareness of cancer signs and symptoms, cancer risk factors, cancer screening programmes, and perceived barriers to seeking medical advice.
Methods: A cross-sectional survey was conducted using an adapted version of the adolescent cancer awareness tool which was originally modified from the Cancer Awareness Measure (CAM) (Version 2.1).
J Racial Ethn Health Disparities
March 2025
Department of Psychology, University of Wisconsin-Madison, 1202 West Johnson St., Madison, WI, 53706, USA.
Healthcare disparities persist in the USA, with Black patients often receiving lower-quality care. Effective doctor-patient communication is crucial for influencing satisfaction, adherence to treatment, and overall health outcomes. This study examined racial disparities in doctor-patient communication, focusing on encounters with Black and White patients recently diagnosed with myelodysplastic neoplasm (MDS).
View Article and Find Full Text PDFSex Med Rev
March 2025
Department of Urology, University of Texas MD Anderson Cancer Center and McGovern Medical School at Houston, Houston, 77030, TX, United States.
Introduction: Penile prosthesis (PP) is one of the main approved therapies for erectile dysfunction (ED). Greater than 50 years of clinical use has led to considerable innovation in PP surgery and patient care.
Objectives: To summarize the current literature and provide updated clinical evidence to inform healthcare providers on best practices with PP.
Indian J Otolaryngol Head Neck Surg
February 2025
Otolaryngology - Head and Neck Surgery, Patna Medical College, Patna, Bihar India.
Head and neck swellings encompass a broad range of differential diagnoses, often necessitating comprehensive clinical and diagnostic evaluations to reach an accurate diagnosis. Cysticercosis, a parasitic infection caused by the larval form of Taenia solium, typically affects neural and extraneural regions. Although neural manifestations are well-documented, extraneural cysticercosis in the head and neck is rare and can mimic neoplastic and inflammatory conditions, posing diagnostic challenges.
View Article and Find Full Text PDFFront Med (Lausanne)
February 2025
Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX, United States.
Whole slide images (WSIs) play a vital role in cancer diagnosis and prognosis. However, their gigapixel resolution, lack of pixel-level annotations, and reliance on unimodal visual data present challenges for accurate and efficient computational analysis. Existing methods typically divide WSIs into thousands of patches, which increases computational demands and makes it challenging to effectively focus on diagnostically relevant regions.
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