Efforts to prevent melanoma, especially for those at elevated risk for the disease, should ideally begin during childhood. However, there are few preventive interventions targeting children who are at higher risk for melanoma due to a family history of the disease. Further, there are no educational interventions that aim to help these at-risk children understand their risk for melanoma and the ways in which preventive behaviors, such as sun protection, can mitigate their risk. The current paper describes a multidisciplinary team's process for creating a developmentally appropriate educational intervention about melanoma risk and prevention for children ages 8-17 years who have a family history of melanoma. Drawing from the fields of dermatology, health behavior change and education, genetic risk communication, science education, and graphic arts, the multimedia intervention created covers key learning points relevant to understanding melanoma, the role of DNA damage in melanoma development, inherited risk factors for melanoma, environmental factors causing DNA damage, and methods for preventing DNA damage, such as sun protective behaviors. Lessons learned during the development of the educational intervention, particularly relevant to multidisciplinary team interactions, are discussed. Implications for future testing and refinement of the novel educational content are also reviewed.
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http://dx.doi.org/10.1007/s13187-016-1144-9 | DOI Listing |
Sci Rep
December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
View Article and Find Full Text PDFNat Commun
December 2024
Laboratory of Biochemistry, Wageningen University, Stippeneng 4, 6708WE, Wageningen, the Netherlands.
The Auxin Response Factors (ARFs) family of transcription factors are the central mediators of auxin-triggered transcriptional regulation. Functionally different classes of extant ARFs operate as antagonistic auxin-dependent and -independent regulators. While part of the evolutionary trajectory to the present auxin response functions has been reconstructed, it is unclear how ARFs emerged, and how early diversification led to functionally different proteins.
View Article and Find Full Text PDFMov Disord
December 2024
Department of Biomedical Sciences, Humanitas University, Milan, Italy.
Background And Objective: Recently, RAB32 has been identified as possibly linked to Parkinson's disease. We studied the prevalence and clinical correlates of the p.Ser71Arg variant in the RAB32 gene in a large case series of Italian patients with Parkinson's disease or atypical parkinsonism.
View Article and Find Full Text PDFNeurogastroenterol Motil
December 2024
Division of Pediatric Gastroenterology, Hepatology, and Nutrition, University of Miami School of Medicine, Miami, Florida, USA.
Background: There is a bidirectional relationship between sleep and pain disturbances. Sleep disturbances increase the risk for chronic pain, while chronic pain can interfere with sleep. Hence, we assessed the subjective sleep characteristics of youth with functional abdominal pain disorders (FAPDs) compared to healthy youth and examined associations with gastrointestinal symptoms.
View Article and Find Full Text PDFFront Public Health
December 2024
Department of Ophtalmology, Medical School, University of Pécs, Pécs, Hungary.
Background: Recent studies suggest that increased digital technology usage could be a factor in the rising occurrence and severity of headache episodes. The purpose of this cross-sectional study was to determine whether the severity of primary headaches (migraine and tension-type headache) is associated with problematic internet use taking many covariates into account.
Methods: We conducted an online cross-sectional survey using a quantitative, descriptive questionnaire, targeting university students enrolled in correspondence courses, aged 18 to 65.
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