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Abstract: Buckwheat intake has preventive effects at diabetes, obesity, hypertension, high cholesterol levels, stroke, cardiovascular diseases, gallstone formation, cancer, leg oedema as well as level of biomarkers of inflammation in body tissues and remedy in people with gluten sensitivity (celiac disease) as naturally gluten free. A literature review on medical findings is presented.
Keywords: buckwheat, health, flavonoids, quercetin, rutin, fiber
Published in DiRROS: 20.01.2026; Views: 60; Downloads: 27
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Abstract: Restructuring food environments, such as online grocery stores, has the potential to improve consumer health by encouraging healthier food choices. The aim of this study was to investigate whether repositioning foods within an experimental online grocery store can be used to nudge healthier choices. Specifically, we investigated whether repositioning product categories displayed on the website main page, and repositioning individual products within those categories, will influence selection. Adults residing in Australia (n = 175) were randomised to either intervention (high-fibre foods on top) or comparator condition (high-fibre foods on the bottom). Participants completed a shopping task using the experimental online grocery store, with a budget of up to AU$100 to for one person's weekly groceries. The results of this study show that the total fibre content per 100 kcal per cart (p < .001) and total fibre content per cart (p = .036) was higher in the intervention compared to comparator condition. Moreover, no statistical difference between conditions was found for the total number of fibre-source foods (p = .67), the total energy per cart (p = .17), and the total grocery price per cart (p = .70) indicating no evidence of implications for affordability. Approximately half of the participants (48%) reported that they would like to have the option to sort foods based on a specific nutrient criterion when shopping online. This study specifically showed that presenting higher-fibre products and product categories higher up on the online grocery store can increase the fibre content of customers' purchases. These findings have important implications for consumers, digital platform operators, researchers in health and food domains, and for policy makers.
Keywords: online grocery stores, digital nudging, consumer health, food environment, choice behavior, snacks, snack choice, healthy food, food choice
Published in DiRROS: 19.01.2026; Views: 60; Downloads: 40
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Abstract: Purpose: Increasing travel, climate change, spread of antimicrobial resistance and pandemics increased the need for welltrained infectious diseases (ID) specialists and qualified ID specialist training for protecting public health all over the world. In this study, we aimed to provide a comprehensive overview of ID specialty training programs for standardization and quality improvement in a large geographical area. Methods: We conducted a cross-sectional study among national respondents of 29 countries [Central Asia (Azerbaijan, Uzbekistan, the Kyrgyz Republic, Kazakhstan), the Middle East (Iran, Saudi Arabia, Jordan, Iraq, Oman, the United Arab Emirates, Qatar, Lebanon), Southeast Europe (Albania, Greece, Kosovo, Slovenia, Bosnia and Herzegovina, Serbia, the Republic of North Macedonia, Croatia), Eastern Europe (Russia, Moldova, Romania, Bulgaria), South Asia (India, Pakistan, Afghanistan), Southeast Asia (Malaysia), Türkiye] to evaluate the structure and components of ID training programs. Results: In this study, structural variability in ID training programs was notable. 65.5% of the countries offered independent specialty program, 59% of the countries reported a required exam for entry into the ID specialization. Nearly all of the countries had a formal training curriculum; written exams were the most common used assessment method. Conclusion: This study provides a comprehensive overview of ID specialty training across diverse regions, highlighting major structural differences in curricula, training duration, and national standards. Its broad geographic scope and contributions from actively engaged ID educators offer a unique global perspective. The findings underscore the urgent need for harmonized training frameworks, the strengthening of national curricula, and the promotion of international collaboration and inclusive strategies, all essential for developing a skilled, competent and resilient global ID workforce
Keywords: cross-sectional studies, health workforce, infectious diseases, medical education, specialty training
Published in DiRROS: 13.01.2026; Views: 108; Downloads: 54
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Abstract: This dataset contains data from a study examining mental health and quality of life in adults with early-stage chronic kidney disease (CKD stages 2–4) and overweight or obesity. Data were collected from 40 patients using standardized questionnaires assessing symptoms of depression, anxiety, and quality of life, and were analyzed using descriptive statistics and correlation analyses.
Keywords: chronic kidney disease, obesity, mental health, lifestyle changes
Published in DiRROS: 09.01.2026; Views: 312; Downloads: 65
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Abstract: The integration of artificial intelligence (AI) into clinical workflows is advancing even before full compliance with the European Union Cross-Border eHealth Network (MyHealth@EU) framework is achieved. While AI-based clinical decision support systems are automatically classified as high risk under the European Union’s AI Act, cross-border health data exchange must also satisfy MyHealth@EU interoperability requirements. This creates a dual-compliance challenge: vertical safety and ethics controls mandated by the AI Act and horizontal semantic transport requirements enforced through Open National Contact Point (OpenNCP) gateways, many of which are still maturing toward production readiness. This paper provides a practical, phase-oriented tutorial that enables developers and providers to embed AI Act safeguards before approaching MyHealth@EU interoperability tests. The goal is to show how AI-specific metadata can be included in the Health Level Seven International Clinical Document Architecture and Fast Healthcare Interoperability Resources messages without disrupting standard structures, ensuring both compliance and trustworthiness in AI-assisted clinical decisions. We systematically analyzed Regulation (EU) 2024/1689 (AI Act) and the OpenNCP technical specifications, extracting a harmonized set of overlapping obligations. The AI Act provisions on transparency, provenance, and robustness are mapped directly onto MyHealth@EU workflows, identifying the points where outgoing messages must record AI involvement, log provenance, and trigger validation. To operationalize this mapping, we propose a minimal extension set, covering AI contribution status, rationale, risk classification, and Annex IV documentation links, together with a phase-based compliance checklist that aligns AI Act controls with MyHealth@EU conformance steps. A simulated International Patient Summary transmission demonstrates how Clinical Document Architecture/Fast Healthcare Interoperability Resources extensions can annotate AI involvement, how OpenNCP processes such enriched payloads, and how clinicians in another member state view the result with backward compatibility preserved. We expand on security considerations (eg, Open Worldwide Application Security Project generative AI risks such as prompt injection and adversarial inputs), continuous postmarket risk assessment, monitoring, and alignment with MyHealth@EU’s incident aggregation system. Limitations reflect the immaturity of current infrastructures and regulations, with real-world validation pending the rollout of key dependencies. AI-enabled clinical software succeeds only when AI Act safeguards and MyHealth@EU interoperability rules are engineered together from day 0. This tutorial provides developers with a forward-looking blueprint that reduces duplication of effort, streamlines conformance testing, and embeds compliance early. While the concept is still in its early phases of practice, it represents a necessary and worthwhile direction for ensuring that future AI-enabled clinical systems can meet both European Union regulatory requirements from day 1. Risks such as prompt injection and adversarial inputs), continuous postmarket risk assessment, monitoring, and alignment with MyHealth@EU’s incident aggregation system. Limitations reflect the immaturity of current infrastructures and regulations, with real-world validation pending the rollout of key dependencies.
Keywords: e-health, epidemiological modeling
Published in DiRROS: 07.01.2026; Views: 129; Downloads: 84
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