This article presents framework guidelines for the care of adolescent transgender (T) and non-binary (NB) individuals experiencing gender dysphoria (GD) and/or gender incongruence (GI). Developed by a multidisciplinary expert panel, these guidelines aim to address the complex medical, psychological, and social needs of this diverse population. The document emphasises the importance of individualised, affirmative care that respects the autonomy, identity, and rights of adolescents. It outlines best practices for psychiatric, psychological, and sexological assessment; criteria and protocols for gender-affirming hormonal interventions (GAHI) and puberty suppression; and ethical considerations for medical decision-making. The guidelines advocate for comprehensive support systems, including family involvement and multidisciplinary team collaboration, while addressing co-occurring mental health conditions and neurodiversity. The article also highlights global perspectives on gender-affirming care, comparing practices and policies across countries to provide a contextualised approach that aligns with international standards while addressing local legal and healthcare frameworks. The proposed care model is designed to enhance the mental and physical well-being of adolescents, reduce stigma, and improve their overall quality of life. This work serves as a vital resource for healthcare professionals, policymakers, and advocates seeking to advance equitable, effective, and compassionate care for gender-diverse youths.
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http://dx.doi.org/10.5603/ep.104289 | DOI Listing |
PLoS One
March 2025
Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany.
Background: For a growing number of food-based dietary guidelines (FBDGs), diet optimization is the tool of choice to account for the complex demands of healthy and sustainable diets. However, decisions about such optimization models' parameters are rarely reported nor systematically studied.
Objectives: The objectives were to develop a framework for (i) the formulation of decision variables based on a hierarchical food classification system; (ii) the mathematical form of the objective function; and (iii) approaches to incorporate nutrient goals.
PLoS One
March 2025
Instituto Federal Goiano - Campus Ceres, Ceres, Goiás, Brazil.
Objectives: Energy drink (ED) consumption is frequently observed among higher education students and is often associated with increased concentration and academic performance. However, the purported benefits are not fully supported by scientific evidence. This protocol details methods for a systematic review and meta-analysis to evaluate the effects of ED on university students' mental health and academic performance.
View Article and Find Full Text PDFJ Med Internet Res
March 2025
Inverness College, University of the Highlands and Islands, Inverness, GB.
Background: Artificial intelligence (AI) is rapidly transforming healthcare, offering significant advancements in patient care, clinical workflows, and nursing education. While AI has the potential to enhance health outcomes and operational efficiency, its integration into nursing practice and education raises critical ethical, social, and educational challenges that must be addressed to ensure responsible and equitable adoption.
Objective: This umbrella review aims to evaluate the integration of AI into nursing practice and education, with a focus on ethical and social implications, and to propose evidence-based recommendations to support the responsible and effective adoption of AI technologies in nursing.
United European Gastroenterol J
March 2025
University Hospital RWTH Aachen, Aachen, Germany.
Background And Aims: The severe alpha-1 antitrypsin deficiency (AATD) genotype Pi*ZZ increases the risk of liver disease (AATD-LD) and lung disease. While non-invasive tests (NITs) are widely used for fibrosis stage and monitoring of all liver diseases, the consensus for use in AATD-LD is limited. A Delphi panel study was conducted to address this need.
View Article and Find Full Text PDFJ Air Waste Manag Assoc
March 2025
Department of Materials Science and Tecnology, Federal University of Bahia, Salvador, Brazil.
The accurate estimation of methane generation in landfills is crucial for effective greenhouse gas management and energy recovery, requiring site-specific assessments due to the inherent variability in waste composition and properties before and after disposal. This study investigates the uncertainties associated with methane generation predictions by employing a combination of stoichiometric methods, Biochemical Methane Potential (BMP) assays, and Bayesian inference. Fresh and aged (1-year-old and 5-year-old) samples collected in the tropical Saravan dump site in Gilan, Iran, were used to evaluate the waste's methane generation potential and degradation rate in the field.
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