Search Results (199)

This study aims to provide a comprehensive overview of psychological distress among medical students in Spain, a growing concern given the high prevalence rates of anxiety, depression, and burnout reported across multiple medical schools and universities. To assess the scope and key characteristics of this phenomenon, a thorough literature search was conducted in the PubMed, ProQuest, and Web of Science (WoS) databases. Studies published between 2010 and 2024 in peer-reviewed scientific journals, written in English or Spanish, and specifically focused on medical students enrolled in Spanish universities were considered for inclusion. A total of 14 studies were analysed. The findings indicate that psychological distress often emerges early in medical training and tends to intensify as students progress academically. Female medical students are consistently more affected, as most of the studies reviewed indicate that they exhibit higher levels of depressive symptoms, trait anxiety, and perceived stress. Some research also suggests greater levels of burnout among female students compared to their male peers. Key contributing factors include academic overload and dissatisfaction, sleep deprivation, and the use of maladaptive coping strategies. Although awareness of the issue is increasing, available evidence suggests that institutional responses remain limited, and that only a small number of universities have implemented structured mental health programmes. Overall, the results underscore the urgent need for institutional reforms in Spanish medical education to safeguard students’ mental wellbeing. Key priorities include revising curricula, implementing structured emotional support programmes, and ensuring accessible services—requiring coordinated, long-term commitment across academic, healthcare, and policy sectors. Future research should explore longitudinal trends and the effectiveness of targeted interventions. Full article

Healthy food service guidelines (HFSG) comprise food, nutrition, behavioral design, and other standards to guide the purchasing, preparation, and offering of foods and beverages in worksites and institutional food service. To date, there have been few attempts to synthesize evidence for HFSG effectiveness in non-K-12 or early childhood education sectors, particularly at worksites and institutional food services. We conducted a scoping review to achieve the following: (1) characterize the existing literature on the effectiveness of HFSG for improving the institution’s food environment, financial outcomes, and consumers’ diet quality and health, and (2) identify gaps in the literature. The initial search in PubMed and Web of Science retrieved 10,358 articles; after screening and snowball searching, 68 articles were included for analysis. Studies varied in terms of HFSG implementation settings, venues, and outcomes in both U.S. (n = 34) and non-U.S. (n = 34) contexts. The majority of HFSG interventions occurred in venues where food is sold (e.g., worksite cafeterias, vending machines). A diversity of HFSG terminology and measurement tools demonstrates the literature’s breadth. Literature gaps include quasi-experimental study designs, as well as interventions in settings that serve dependent populations (e.g., universities, elderly feeding programs, and prisons). Full article

Certain industries will bear a disproportionate share of the burden of climate change. Climate change risk perceptions can impact workers’ mental health and well-being; increased climate change risk perceptions are also associated with more favourable adaptive attitudes. It is, therefore, important to understand whether climate risk perceptions differ across workers between industries. We conducted an online survey of British Columbians (16+) in 2021 using social media advertisements. Participants rated how likely they believed their industry (Natural Resources, Science, Art and Recreation, Education/Law/Government, Health, Management/Business, Manufacturing, Sales, Trades) would be affected by climate change (on a scale from “Very Unlikely” to “Very Likely”). Ordinal logistic regression examined the association between occupational category and perceived industry vulnerability, adjusting for socio-demographic factors. Among 877 participants, 66.1% of Natural Resources workers perceived it was very/somewhat likely that climate change would impact their industry; only those in Science (78.3%) and Art and Recreation (71.4%) occupations had higher percentages. In the adjusted model, compared to Natural Resources workers, respondents in other occupations, including those in Art and Recreation, Education/Law/Government, Management/Business, Manufacturing, Sales, and Trades, perceived significantly lower risk of climate change-related industry impacts. Industry-specific interventions are needed to increase awareness of and readiness for climate adaptation. Policymakers and industry leaders should prioritize sectoral differences when designing interventions to support climate resilience in the workforce. Full article

Design and use of wearable technology have grown exponentially, particularly in consumer products and service sectors, e.g., healthcare. However, there is a lack of a comprehensive understanding of wearable technology in consumer acceptance. This systematic review utilized a PRISMA on peer-reviewed articles published between 2014 and 2024 and collected on WoS, Scopus, and ScienceDirect. A total of 38 full-text articles were systematically reviewed and analyzed using bibliometric, thematic, and descriptive analysis to understand the technical functions of digital wearable products (DWPs) in consumer acceptance. The findings revealed four key functions: (i) wearable technology, (ii) appearance and design, (iii) biomimetic innovation, and (iv) security and privacy, found in eight types of DWPs, among them smartwatches, medical robotics, fitness devices, and wearable fashions, significantly predicted the customers’ acceptance moderated by the behavioral factors. The review also identified five key outcomes: health and fitness, enjoyment, social value, biomimicry, and market growth. The review proposed a comprehensive acceptance model that combines biomimetic principles and AI-driven features into the technical functions of the technical function model (TAM) while addressing security and privacy concerns. This approach contributes to the extended definition of TAM in wearable technology, offering new pathways for biomimetic research in smart devices and robotics. Full article

Microbial fermentation is a fundamental bioconversion mechanism widely used in diverse industrial sectors, notably in food processing and bioenergy production. Over the years, the wealth of information and scientific and technological advances in the field of fermentation have made considerable progress. Most recent research studies are currently devoted to the implementation of innovative technological processes in order to increase fermentation effectiveness while consuming less energy and processing time. The aim of the present review is to investigate the impact of innovative physical techniques (pulsed electric field, PEFs; cold atmospheric plasma, CAP; and magnetic fields, MFs) on fermentation processes. The bibliographic analysis will mainly focus on recent advances towards non-destructive methods (PEF, CAP, and MF) and their induced changes in fermentation dynamics, fermented product quality, metabolite synthesis, and microbial growth kinetics. Various databases, including PubMed, ScienceDirect, Google Scholar, ResearchGate, Scopus, and Web of Science, were used to collect pertinent scientific literature on the impact of innovative physical techniques on microorganisms and fermentation processes and to investigate the potential applications of these emerging technologies in the food and health sectors. According to the results, all techniques have the potential to optimize fermentation dynamics, boost metabolite synthesis, and enhance product quality. However, each technology displayed its own specific advantages and disadvantages. Full article

Inclusion in play, physical education, outdoor life, organized sports, and other movement-based activities can promote resilience and support physical, emotional, and social well-being. These arenas are particularly important for reducing health disparities and preventing social marginalization across the lifespan. Yet, children and adolescents from vulnerable or disadvantaged backgrounds encounter persistent barriers to participation, rooted in broader inequalities related to their socioeconomic position, disability, gender, ethnicity, and access to supportive environments. This perspective outlines how inclusive movement contexts, when informed by developmental systems theory and resilience frameworks, can interrupt trajectories of marginalization and promote long-term equity in health, education, and work inclusion. We emphasize the need for interdisciplinary approaches, combining longitudinal and qualitative methods, to uncover how vulnerability and participation interact dynamically over time. By integrating insights from developmental science, education, public health, and spatial ecology, we identify strategic pathways for research and action. Addressing these challenges requires coordinated efforts across sectors and stakeholders to co-create inclusive, context-sensitive interventions. Full article

The intersection of microbial food safety and antimicrobial resistance (AMR) represents a mounting global threat with profound implications for public health, food safety, and sustainable development. This review explores the complex pathways through which foodborne pathogens—such as Salmonella spp., Escherichia coli (E. coli), Listeria monocytogenes (L. monocytogenes), and Campylobacter spp.—acquire and disseminate resistance within human, animal, and environmental ecosystems. Emphasizing a One Health framework, we examine the drivers of AMR across sectors, including the misuse of antibiotics in agriculture, aquaculture, and clinical settings, and assess the role of environmental reservoirs in sustaining and amplifying resistance genes. We further discuss the evolution of surveillance systems, regulatory policies, and antimicrobial stewardship programs (ASPs) designed to mitigate resistance across the food chain. Innovations in next-generation sequencing, metagenomics, and targeted therapeutics such as bacteriophage therapy, antimicrobial peptides (AMPs), and CRISPR-based interventions offer promising alternatives to conventional antibiotics. However, the translation of these advances into practice remains uneven, particularly in low- and middle-income countries (LMICs) facing significant barriers to diagnostic access, laboratory capacity, and equitable treatment availability. Our analysis underscores the urgent need for integrated, cross-sectoral action—anchored in science, policy, and education—to curb the global spread of AMR. Strengthening surveillance, investing in research, promoting responsible antimicrobial use, and fostering global collaboration are essential to preserving the efficacy of existing treatments and ensuring the microbiological safety of food systems worldwide. Full article

Background/Objectives: In recent years, there has been increasing interest in the scientific, educational, and health sectors in investigating aspects upon which to design physical-activity interventions to prevent cognitive decline, a phenomenon that affects levels of autonomy and quality of life in older adulthood. Physical activity (PA) has been shown to be an effective strategy that can be used to preserve executive functions (EFs) by improving brain flexibility and efficiency. This systematic review aims to identify the most effective strategies used to maintain EF, prevent decline, and promote independence in the elderly. Methods: A systematic literature review was conducted according to PRISMA guidelines. The search was conducted in the following databases: Google Scholar, PubMed, Scopus, and Web of Science; the search used keywords such as “cognitive decline”; “cognitive flexibility”; “elderly”; “executive functions”; “inhibition”; “physical activity”; and “working memory”. Experimental studies published between 2019 and 2025 examining the effects of PA on EFs in adults over 60 were selected. After considering the inclusion and exclusion criteria, nine studies were included. The methodological quality of the included studies ranged from moderate to high according to the PEDro scale. Results: The analyzed studies show that short-term interventions positively affect one or two components of EFs, while medium- and long-term interventions produce benefits for all components (working memory, inhibition, and cognitive flexibility). Interventions combined with cognitive stimulation show a greater impact than PA alone. Conclusions: PA is an effective strategy for preserving EFs in the elderly, but the lack of standardized protocols makes it difficult to identify optimal interventions. Further research is needed to more precisely define the most effective intervention approaches. Full article

The acceleration of digitalization has caused an increase in demand for autonomous devices. In this paper, the technologies of artificial intelligence (AI), and especially machine learning (ML), integrated into applications that use self-powered Internet of Things (IoT) sensors are analyzed. The study addresses the issue of the lack of a standardized classification of IoT domains and the uneven distribution of AI integration in these domains. The systematic bibliometric analysis of the scientific literature between 1 January 2020 and 30 April 2025, using the Web of Science database, outlines the seven main areas of IoT sensor usage: smart cities, wearable devices, industrial IoT, smart homes, environmental monitoring, healthcare IoT, and smart mobility. The thematic searches highlight the consistent number of articles in the health sector and the underrepresentation of other areas, such as agriculture. The study identifies that the most commonly used sensors are the accelerometer, electrocardiogram, humidity sensor, motion sensor, and temperature sensor, and analyzes the performance of AI models in self-powered systems, identifying accuracies that can reach up to 99.92% in medical and industrial applications. The conclusions drawn from these results underscore the need for an interdisciplinary approach and detailed exploration of ML algorithms to be adapted to the hardware infrastructures of autonomous sensors. The paper proposes future research directions to expand AI’s applicability in developing systems that integrate self-powered IoT sensors. The paper lays the groundwork for future projects in this field, serving as a reference for researchers who wish to explore these areas. Full article

This study investigated the perceptions of animal welfare and the consumption of alternative protein sources among future professionals in agronomy, food science, and veterinary medicine. A sample of 769 participants from three faculties [ESALQ (“Luiz de Queiroz” College of Agriculture), FZEA (School of Animal Science and Food Engineering), and FMVZ (School of Veterinary Medicine and Animal Science)] of the University of São Paulo was used. These faculties have different teaching focuses: agronomy, food and animal production, and veterinary, respectively. A relationship between the perception of animal welfare and alternative sources of protein based on the participants’ educational background was verified, specifically: (i) participants from the FZEA (food science) and FMVZ (veterinary) units would be interested in consuming farmed meat and expressed interest in trying it; (ii) students from the ESALQ (agronomy) have a low level of knowledge about animal welfare and are not very interested in knowing how animals are reared, and few participants attribute the presence of the health inspection seal as influencing their purchasing intention; (iii) participants, regardless of their academic background, did not express an intention to reduce their red meat consumption; (iv) the ESALQ was the campus which showed the most skepticism about animal sentience; (v) most participants from the FMVZ and FZEA reported being willing to pay 4–5% more for products that guarantee animal welfare. The findings suggest that the academic context influences individuals’ perceptions and food choices, highlighting the need for educational strategies that foster a greater awareness of animal welfare, encourage the adoption of more sustainable practices, and promote the acceptance of alternative protein sources within the agri-food sector. Full article

Background: The main mechanism of optic nerve damage in patients with pituitary adenoma (PA) is the pressure of optic chiasm. The retinal nerve fiber layer (RNFL), the ganglion cell layer (GCL)+, and GCL++ thickness measurement by optical coherence tomography (OCT), visual function evaluation, and magnetic resonance imaging (MRI) can be used to predict visual function recovery. In our study, we investigated the associations between visual acuity (VA), visual field (VF), RNFL, GCL changes, and the findings of MRI in patients with PA. Methods: This study was conducted in the Departments of Ophthalmology and Neurosurgery of the Lithuanian University of Health Sciences Hospital. A total of 25 patients diagnosed with PA were included in the study group, and 27 healthy subjects were included in the control group. The thickness of the RNFL and ganglion cell layer (GCL+, GCL++) and optic nerve disc diameter was analysed with OCT. Moreover, an MRI was performed for patients with PA. Results: The RNFL thickness around the optic disk measured preoperatively was reduced significantly in the temporal quadrant in PA patients compared with the control group (median (min; max); mean rank: 73.5 (52; 109); 58.39 vs. 69.5 (16; 168); 46.14; p = 0.038). We found that it was reduced significantly only in the inferior quadrant of the macro-PA group compared to the micro-PA group (median (min; max); mean rank: 99.5 (61; 115); 21.07 vs. 106.5 (90; 121); 32.15), p = 0.008, respectively). The RNFL thickness was reduced significantly only in the inferior quadrant of the non-active PA group compared to the active PA group (median (min; max); mean rank: 118.5 (49; 144); 17.42 vs. 130.5 (77; 156); 28.05), p = 0.028, respectively). RNFL thickness was reduced significantly only in the temporal quadrant in the PA with suprasellar extension group compared to the PA without suprasellar extension group (median (min; max); mean rank: 67.5 (16; 99); 21.66 vs. 72 (58; 168); 30.39), p = 0.036, respectively). Furthermore, GCL++ thickness was reduced significantly in total and in superior and inferior sectors of the PA with suprasellar extension group compared to the PA without suprasellar extension group (median (min; max); mean rank: 98.5 (57; 113); 21.8; 101 (61; 121); 21.48 and 102.5 (59; 116); 21.71 vs. 103.5 (95; 115); 30.2; 106.5 (90; 115); 30.61 and 104.5 (95; 113); 30.32), p = 0.043; p = 0.028 and p = 0.038, respectively). In the control group, significant positive correlations were found between optic disc area and the total RNFL thickness (r = 0.440, p < 0.001). In the PA group, significant correlations were observed between optic rim area and total RNFL thickness (r = 0.493, p < 0.001) and all quadrants, with the strongest in the nasal quadrant (r = 0.503, p < 0.001). A moderate to strong negative correlation was found between visual field (VF) defects and RNFL thickness, with the strongest correlation observed in the superior quadrant. Conclusions: OCT offers a detailed insight into the microscopic structural and functional changes throughout the entire visual pathway in patients with PA. Our findings demonstrate a significant negative correlation between RNFL thickness and visual field defects, highlighting the clinical relevance of OCT measurements in visual function assessment. Moreover, the results suggest that optic rim area may be a more reliable indicator of RNFL thickness variations than optic disc area in patients with PA. Full article

Hazardous medical waste (HMW) presents significant environmental and public health challenges, particularly in the context of rising healthcare demands and the global push for sustainable resource management. This study investigates the evolution of HMW management through a bibliometric and thematic analysis of 1703 articles published between 2020 and 2025, retrieved from the Web of Science database. Using VOSviewer, co-occurrence mapping and term clustering reveal six major conceptual domains, including thermal treatment technologies, operational optimization, environmental indicators, and behavioral dimensions. This study adds value by applying a dual bibliometric–thematic lens to provide new insights into the operational, technological, and sustainability dimensions of HMW. The analysis identifies a gradual shift from traditional disposal methods to circular models focused on resource valorization through pyrolysis, gasification, and sterilization. Lean management principles—such as process efficiency, waste minimization, and the promotion of recovery and reuse—emerge as complementary to circular economy goals. Additional visualizations outline international collaboration trends, highlighting established research hubs and emerging contributors. The findings emphasize the role of data-driven decision tools, sustainability assessment methods, and cross-sectoral integration in enhancing medical waste systems. Full article

The accelerated growth of scientific publications in renowned databases such as Scopus (Elsevier) and Web of Science (Clarivate) has made the identification of unresolved research problems increasingly complex. This challenge is exacerbated by the vast amount of information that must be analyzed, highlighting the imminent need for the application of big data techniques to extract relevant information for researchers, stakeholders in innovation and development, and regulatory policymakers. To address this challenge, this article presents an innovative, structured, and systematic methodology for conducting bibliometric analyses of scientific publications. The proposed approach is designed for researchers who only have an initial research idea, a broad problem context, or a general study area and require methodological tools to precisely define their research problem. The methodology follows a recommended flowchart-guided process, leveraging open-source tools such as Bibliometrix (R), spreadsheets, and text processing techniques to conduct a comprehensive bibliometric study. This enables the analysis of the intellectual, conceptual, and social structures of a research field, facilitating the identification of research gaps and emerging trends. As a practical application, the proposed methodology was implemented for the 2004–2024 period, within the framework of an applied research project in engineering. This case study aimed to answer key research questions formulated during the study design phase, demonstrating the effectiveness of the approach in systematically analyzing scientific production. Beyond the energy sector and energy systems, this methodology has proven to be adaptable to diverse disciplines, such as health sciences, industrial management, construction, and urban development, provided that relevant databases are accessible. Through this structured approach, researchers can better define their research problems and identify future challenges in various areas of knowledge. Full article

The market of plant-based food, including plant-based beverages, is one of the fastest-growing food sectors within the food industry and a subject of major research in the area of new product development. Plant-based beverages are a diverse group of non-dairy beverages with varying nutritional value, depending on the raw material sources and additional substances used in their production. A wide range of plant beverages makes it possible to choose products tailored to individual consumer preferences and needs as a part of sustainable dietary patterns. Increased consumer awareness of the environmental and health implications of proper nutrition, interest in plant-based diets, climate, and natural resource protection, as well as ethical concerns about animal welfare and the negative environmental impact of animal production, have led some consumers to seek a more balanced diet based on varied plant-based products, including beverages. Considering the highly diversified nutritional value of plant-based beverages, their availability, convenience, accessibility to consumers, ethical and environmental concerns, increasing health concerns as well as growing popularity of plant-based beverages as potential cow-milk alternatives, the Group of Experts in medicine and nutritional sciences presents the opinion on the nutritional value, health benefits and concerns of the available plant-based beverages. The opinion was based on a critical review of the current scientific literature, as well as on the experts’ experience. This knowledge can be used to make the right choices to improve the nutritional status and health of the consumers from different groups. Since the nutritional profiles of plant-based beverages vary across different plant-based drink varieties and they do not have standards of identity, in our opinion, there is a need for action to standardize nutrient fortification regarding the type and amount of added ingredients to ensure the safety of consumers and avoid potential over- or under-fortification of plant-based beverages. Full article

Antimicrobial resistance (AMR) poses a significant “One Health” challenge in the farming industry attributed to antimicrobial misuse and overuse, affecting the health of humans, animals, and the environment. Recognizing the crucial role of the environment in facilitating the transmission of AMR is imperative for addressing this global health issue. Despite its urgency, there remains a notable gap in understanding resistance levels in the environment. This scoping review aims to consolidate and summarize available evidence of AMR prevalence and resistance genes in dairy farm settings. This study was conducted following the PRISMA Extension checklist to retrieve relevant studies conducted in Asian countries between 2013 and 2023. An electronic literature search involving PubMed, ScienceDirect, Embase, and Scopus resulted in a total of 1126 unique articles that were identified. After a full-text eligibility assessment, 39 studies were included in this review. The findings indicate that AMR studies in dairy farm environments have primarily focused on selective bacteria, especially Escherichia coli and other bacteria such as Staphylococcus aureus, Klebsiella spp., and Salmonella spp. Antimicrobial resistance patterns were reported across 24 studies involving 78 antimicrobials, which predominantly consisted of gentamicin (70.8%), ampicillin (58.3%), and tetracycline (58.3%). This review emphasizes the current state of AMR in the environmental aspects of dairy farms across Asia, highlighting significant gaps in regional coverage and bacterial species studied. It highlights the need for broader surveillance, integration with antimicrobial stewardship, and cross-sector collaboration to address AMR through a One Health approach. Full article