Estudio de prevalencia, conocimiento y control de la hipertensión arterial en barrios vulnerables de Argentina / Prevalence, knowledge and control of arterial hypertension in vulnerable neighborhoods of Argentina: A Cross-sectional Study

Introducción: La hipertensión arterial (HTA) representa el principal factor de riesgo individual, con mayor carga a nivel mundial de enfermedades cardiovasculares (ECV). En nuestro país, algunos trabajos epidemiológicos han mostrado marcadas diferencias en las prevalencias de estos factores de riesgo de acuerdo con la población evaluada. Sin embargo, no hay estudios epidemiológicos de evaluación de factores de riesgo cardiovascular exclusivos referentes a barrios vulnerables con muy bajos recursos económicos, socioculturales y poca accesibilidad a los sistemas de salud. Materiales y métodos: Estudio observacional de corte transversal multicéntrico en habitantes de comunas vulnerables de muy bajos recursos, como asentamientos populares y barrios carenciados con muestreo aleatorizado simple de casas. Se realizaron tomas de presión arterial (PA), medidas antropométricas, así como cuestionarios epidemiológicos, económicos y socioculturales. Se describen los hallazgos: prevalencia, conocimiento y control de la PA en las distintas regiones. Se efectuó una regresión logística para determinar las variables independientes a los resultados principales. Resultados: Se analizaron 989 participantes. La prevalencia de HTA global fue de 48,2%. Un total de 82% tenía un índice de masa corporal (IMC) >25 kg/m2. De estos pacientes, 45,3% tenían menos de seis años de educación. Este último aspecto se asoció a mayor prevalencia de HTA de forma independiente. De los hipertensos, 44% desconocían su padecimiento y solo en 17,2% estaba controlado, asociándose esto a tener obra social (OS) y mayor nivel educativo. Únicamente 24% estaban bajo tratamiento combinado. Conclusión: La prevalencia de HTA en barrios vulnerables es elevada, superando a la de otros estratos sociales con niveles de conocimiento, tratamiento y control de la HTA bajos, similar a otras poblaciones. Se detectó un uso insuficiente de la terapia combinada.

Introduction: Hypertension (HTN) represents the primary individual risk factor, contributing significantly to the global burden of cardiovascular diseases (CVD). In our country, epidemiological research has highlighted substantial variations in the prevalence of these risk factors across different populations. However, there is a lack of epidemiological studies assessing exclusive cardiovascular risk factors within vulnerable neighborhoods characterized by extremely limited economic resources, sociocultural challenges, and inadequate healthcare access. Methods: A multicenter cross-sectional observational study was conducted among individuals residing in economically deprived and marginalized communities, including informal settlements and underprivileged neighborhoods. Simple random sampling of households was employed. Blood pressure measurements, anthropometric assessments, and epidemiological, economic, and sociocultural questionnaires were administered. Results encompass prevalence rates, awareness levels, and blood pressure control across diverse regions. Logistic regression was utilized to identify independent variables influencing primary outcomes. Results: A total of 989 participants were analyzed. The overall prevalence of hypertension was 48.2%. About 82% had a body mass index (BMI) >25. Approximately 45.3% had less than 6 years of formal education. Independent association was established between education levels below 6 years and higher hypertension prevalence Among hypertensive individuals, 44% were unaware of their condition, with only 17.2% achieving control, correlated with having health insurance and a higher educational background. Merely 24% were receiving combined therapy. Conclusion: The prevalence of hypertension within vulnerable neighborhoods is alarmingly high, surpassing rates in other social strata. Knowledge, treatment, and control levels of hypertension are suboptimal, comparable to other populations... (AU)

[HIV pre-exposure prophylaxis: physicians are not prepared]. / Prophylaxie pré-exposition au VIH : les médecins ne sont pas préparés.

HIV pre-exposure prophylaxis (PrEP) is an effective tool in HIV prevention but is rarely prescribed by primary care physicians. A survey conducted among 147 physicians to assess their knowledge and interest in prescribing PrEP shows that 97% stated they have already heard of PrEP, but their knowledge of its indications, dosage, price, and side-effects is often incomplete or incorrect. For 69% of them, the main obstacle to prescribing PrEP is the lack of training on the subject. However, 70% of physicians express interest in receiving training to confidently prescribe PrEP to their patients. To address this demand, the clinical recommendations of the SwissPrEPared program are summarized.

La prophylaxie pré-exposition au VIH (PrEP) est un outil efficace dans la prévention du VIH mais rarement prescrite par les médecins de premier recours. Un sondage mené auprès de 147 médecins pour évaluer leurs connaissances et intérêt à prescrire la PrEP indique que 97 % déclarent avoir déjà entendu parler de la PrEP, mais aussi que leurs connaissances quant aux indications, posologie, prix et effets secondaires restent souvent lacunaires ou erronées. Pour 69 % des sondés, le principal obstacle à la prescription de la PrEP est le manque de formation sur le sujet. Cependant, 70 % des médecins se disent intéressés à être formés afin de prescrire la PrEP en toute confiance à leurs patients. Pour répondre à cette demande, les recommandations cliniques du programme SwissPrEPared sont résumées.

Sudden Infant Death Syndrome (SIDS): State of the Art and Future Directions.

Sudden infant death syndrome (SIDS) is a type of death that occurs suddenly and without any apparent explanation, affecting infants between 28 days of life and up to a year. Recognition of this entity includes performing an autopsy to determine if there is another explanation for the event and performing both an external and internal examination of the different tissues to search for possible histopathological findings. Despite the relative success of awareness campaigns and the implementation of prevention measures, SIDS still represents one of the leading causes of death among infants worldwide. In addition, although the development of different techniques has made it possible to make significant progress in the characterization of the etiopathogenic mechanisms underlying SIDS, there are still many unknowns to be resolved in this regard and the integrative consideration of this syndrome represents an enormous challenge to face both from a point of view scientific and medical view as humanitarian. For all these reasons, this paper aims to summarize the most relevant current knowledge of SIDS, exploring from the base the characterization and recognition of this condition, its forensic findings, its risk factors, and the main prevention measures to be implemented. Likewise, an attempt will be made to analyze the causes and pathological mechanisms associated with SIDS, as well as potential approaches and future paths that must be followed to reduce the impact of this condition.

Higher risk-less data: A systematic review and meta-analysis on the role of sex and gender in trauma research.

Women and men are at different risk for posttraumatic stress disorder (PTSD). It is unclear, however, how studies on PTSD risk factors integrate this knowledge into their research. Moreover, the temporal development of women's higher PTSD risk is unknown. In this systematic review and meta-analysis, we examine how prospective studies on PTSD development (k = 47) consider sex and gender across four domains (samples, terminology, analyses, and reporting). Further, we differentially analyze sex/gender differences within five time intervals from 1 month to 5 years posttrauma. PTSD prevalence (OR = 1.72 [1.27-2.34]) and severity (g = 0.31 [0.09, 0.53]) were increased for women relative to men at 1 month posttrauma already, that is, at the first timepoint of a possible PTSD diagnosis. PTSD severity was elevated for women compared to men across all time intervals, but evidence for increased PTSD prevalence for women relative to men was less stable with longer follow-ups. Despite women's higher PTSD burdens, they were clearly underrepresented in samples (68.3% male, 31.7% female participants). Only 5.0% of studies explained or described their understanding of sex and gender, and only 2.6% used sex as discovery variable, that is, investigating sex-dependent risk mechanisms. Sex and gender aspects in design, data, and discussion were considered by only one-third of studies each. Trauma research falls short of its potential to adequately consider sex and gender. Sex- and gender-sensitive practices can advance rigor, innovation, and equity in psychopathology research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Evolution of Food and Nutrition Policy: A Tasmanian Case Study from 1994 to 2023.

Food security is a concept with evolving definitions and meanings, shaped by contested knowledge and changing contexts. The way in which food security is understood by governments impacts how it is addressed in public policy. This research investigates the evolution of discourses and practices in Tasmanian food and nutrition policies from 1994 to 2023. Four foundational documents were analysed using qualitative document analysis, revealing persistent food insecurity issues over three decades. The analysis identified a duality in addressing the persistent policy challenges of nutrition-related health issues and food insecurity: the balancing act between advancing public health improvements and safeguarding Tasmania's economy. The research revealed that from 1994 to 2023, Tasmania's food and nutrition policies and strategies have been characterised by various transitions and tensions. Traditional approaches, predominantly emphasising food availability and, to a limited extent, access, have persisted for over thirty years. The transition towards a more contemporary approach to food security, incorporating dimensions of utilisation, stability, sustainability, and agency, has been markedly slow, indicating systemic inertia. This points to an opportunity for future policy evolution, to move towards a dynamic and comprehensive approach. Such an approach would move beyond the narrow focus of food availability to address the complex multi-dimensional nature of food security.

Intra- and Interpersonal Dimensions of Orthorexia: Preliminary Development and Validation of an Intra- and Interpersonal Effects Scale for Orthorexia.

Orthorexia nervosa (ON) is a disorder characterized by dietary restrictions and an obsessive focus on "healthy" eating. The present study analyzes two aspects of ON. One related to the inner experiences of the individual (intrapersonal). The other concerns the impact of ON on interpersonal relationships (interpersonal). The developed scale was named the Intra- and Interpersonal Effects Scale of Orthorexia (IIESO). The analysis showed an average correlation between the INTER and INTRA factors (r = 0.46). Both the INTER and INTRA scales correlated strongly with both subscales of the TOS but weakly with the ORTO-R score. Females obtained higher scores on the INTER scale (p < 0.01), while no differences were shown for the INTRA subscale or the overall scale score (p < 0.01). Subjects using supplements had higher mean scores on the INTER and INTRA subscales and for the total score. Among the analyzed results, the greatest strength effect was shown for the total score on the IIESO scale (INTER+INTRA) and the TOS scale. The questionnaires used to date have not distinguished between behaviors from interpersonal and intrapersonal perspectives. Research on these dimensions could expand our knowledge of the disorder and refine diagnostic criteria.

Minerals and the Menstrual Cycle: Impacts on Ovulation and Endometrial Health.

The role of minerals in female fertility, particularly in relation to the menstrual cycle, presents a complex area of study that underscores the interplay between nutrition and reproductive health. This narrative review aims to elucidate the impacts of minerals on key aspects of the reproductive system: hormonal regulation, ovarian function and ovulation, endometrial health, and oxidative stress. Despite the attention given to specific micronutrients in relation to reproductive disorders, there is a noticeable absence of a comprehensive review focusing on the impact of minerals throughout the menstrual cycle on female fertility. This narrative review aims to address this gap by examining the influence of minerals on reproductive health. Each mineral's contribution is explored in detail to provide a clearer picture of its importance in supporting female fertility. This comprehensive analysis not only enhances our knowledge of reproductive health but also offers clinicians valuable insights into potential therapeutic strategies and the recommended intake of minerals to promote female reproductive well-being, considering the menstrual cycle. This review stands as the first to offer such a detailed examination of minerals in the context of the menstrual cycle, aiming to elevate the understanding of their critical role in female fertility and reproductive health.

Proceedings of the 2023 Viral Clearance Symposium, Session 4: Continuous Processing.

The continuous processing session at the 2023 Viral Clearance Symposium (VCS) focused on understanding how to effectively design viral clearance operations for use in continuous processes and methods to perform viral clearance studies. In this session, an approach to directly address control considerations with operating continuous-flow reactors for low pH viral inactivation was presented. Continuous-flow low pH incubation chamber design and implications for residence time determination were discussed. Additionally, viral clearance capability between batch operation and connected operation were demonstrated to be comparable for a connected bind-elute chromatography and flow-through chromatography step. Overall, this session provided additional scientific knowledge to support viral clearance strategies when implementing a continuous manufacturing process.

Immersed in a reservoir of potential: amniotic fluid-derived extracellular vesicles.

This review aims to encapsulate the current knowledge in extracellular vesicles extracted from amniotic fluid and amniotic fluid derived stem/stromal cells. Amniotic fluid (AF) bathes the developing fetus, providing nutrients and protection from biological and mechanical dangers. In addition to containing a myriad of proteins, immunoglobulins and growth factors, AF is a rich source of extracellular vesicles (EVs). These vesicles originate from cells in the fetoplacental unit. They are biological messengers carrying an active cargo enveloped within the lipid bilayer. EVs in reproduction are known to play key roles in all stages of pregnancy, starting from fertilisation through to parturition. The intriguing biology of AF-derived EVs (AF-EVs) in pregnancy and their untapped potential as biomarkers is currently gaining attention. EV studies in numerous animal and human disease models have raised expectations of their utility as therapeutics. Amniotic fluid stem cell and mesenchymal stromal cell-derived EVs (AFSC-EVs) provide an established supply of laboratory-made EVs. This cell-free mode of therapy is popular as an alternative to stem cell therapy, revealing similar, if not better therapeutic outcomes. Research has demonstrated the successful application of AF-EVs and AFSC-EVs in therapy, harnessing their anti-inflammatory, angiogenic and regenerative properties. This review provides an overview of such studies and discusses concerns in this emerging field of research.

Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation.

The ongoing biodiversity crisis, driven by factors such as land-use change and global warming, emphasizes the need for effective ecological monitoring methods. Acoustic monitoring of biodiversity has emerged as an important monitoring tool. Detecting human voices in soundscape monitoring projects is useful both for analyzing human disturbance and for privacy filtering. Despite significant strides in deep learning in recent years, the deployment of large neural networks on compact devices poses challenges due to memory and latency constraints. Our approach focuses on leveraging knowledge distillation techniques to design efficient, lightweight student models for speech detection in bioacoustics. In particular, we employed the MobileNetV3-Small-Pi model to create compact yet effective student architectures to compare against the larger EcoVAD teacher model, a well-regarded voice detection architecture in eco-acoustic monitoring. The comparative analysis included examining various configurations of the MobileNetV3-Small-Pi-derived student models to identify optimal performance. Additionally, a thorough evaluation of different distillation techniques was conducted to ascertain the most effective method for model selection. Our findings revealed that the distilled models exhibited comparable performance to the EcoVAD teacher model, indicating a promising approach to overcoming computational barriers for real-time ecological monitoring.

Facilitators and barriers to online group work in higher education within health sciences - a scoping review.

INTRODUCTION: In health education, group work is essential to prepare students for working in health care and medical teams. Following the widespread adoption of online teaching, group work increasingly takes place in online environments. Although successful group work can provide good learning outcomes, it is unclear what facilitates or hinders online group work in health science education, and to what extent this topic has been addressed. Thus, this scoping review aimed to identify the facilitators and barriers to online group work in higher health education, provide an overview of the scientific literature related to the topic, and identify knowledge gaps in the research. METHODS: This scoping review was guided by the methodological framework described by Arksey and O'Malley, and reporting is in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Review (PRISMA-ScR). Eight online databases were searched for scientific articles published between 2012 and 2022. At least two researchers independently screened records and full-text articles and charted data including article characteristics and key information related to the research question. Findings were categorized and summarized based on the Community of Inquiry Framework. RESULTS: After screening 3671 records and 466 full-text articles, 39 articles met the inclusion criteria. The review revealed smaller group size, consistency in group composition and joint responsibility to be facilitators. Challenges with group communication, scheduling synchronous meetings and technical issues were identified as barriers. Our findings supported the importance of all three elements of the Community of Inquiry Framework: social, cognitive, and teaching presence. CONCLUSION: This review provides an overview of facilitators and barriers to online group work in health science education. However, there is a need for further investigation of these factors and studies addressing this topic from the teachers' perspective.

Effects of ChatGPT's AI capabilities and human-like traits on spreading information in work environments.

The rapid proliferation and integration of AI chatbots in office environments, specifically the advanced AI model ChatGPT, prompts an examination of how its features and updates impact knowledge processes, satisfaction, and word-of-mouth (WOM) among office workers. This study investigates the determinants of WOM among office workers who are users of ChatGPT. We adopted a quantitative approach, utilizing a stratified random sampling technique to collect data from a diverse group of office workers experienced in using ChatGPT. The hypotheses were rigorously tested through Structural Equation Modeling (SEM) using the SmartPLS 4. The results revealed that system updates, memorability, and non-language barrier attributes of ChatGPT significantly enhanced knowledge acquisition and application. Additionally, the human-like personality traits of ChatGPT significantly increased both utilitarian value and satisfaction. Furthermore, the study showed that knowledge acquisition and application led to a significant increase in utilitarian value and satisfaction, which subsequently increased WOM. Age had a positive influence on WOM, while gender had no significant impact. The findings provide theoretical contributions by expanding our understanding of AI chatbots' role in knowledge processes, satisfaction, and WOM, particularly among office workers.

[Faisabilité de l'exploration des fonctions exécutives des résidents d'établissement d'hébergement pour personnes âgées]. / Feasibility of exploring executive functions in long-term care residents, the Screening Executive Tests for Elderly.

Impairment of cognitive functions is the primary reason for admission to long-term care units, with executive functions playing a pivotal role in dependency and behavioral issues. These functions pose significant challenges to nursing staff in providing care. However, the assessment of executive functions in elderly individuals residing in nursing homes often relies on tests that are both time-consuming and difficult for this demographic. In many instances, executive functions are either not assessed or only examined in broad terms. OBJECTIVE: The objective of this study was to analyze the feasibility of assessing executive functions in elderly nursing home residents, specifically aiming to distinguish sub-components such as mental flexibility, working memory, planning, and inhibition. The residents included in the study underwent executive function assessments over three visits, using various tests for each sub-component. METHODS: Out of 530 residents, 46 gave their consent and 38 completed the three visits, with an average age of 90±5 years (76.2% women) and a median MMSE score of 20/30. Feasibility was evaluated based on the test being executed and the frequency of interruptions due to difficulty or fatigue on the part of the resident. RESULTS: Only four tests proved suitable for elderly individuals in nursing homes, and we propose grouping them into a battery named SETE (Screening Executive Tests for Elderly): the conflicting instructions from the FAB, the alpha test, the clock test, and the verbal span test. CONCLUSION: The use of these four tests would enable the construction of a map delineating executive function impairment by sub-component. Enhanced knowledge of executive functions in long-term care residents will facilitate better adapted dependency management and the implementation of non-pharmacological interventions for behavioral disorders.

Pros and Cons of Minimally Invasive Spine Surgery.

This paper reviews current knowledge on minimally invasive spine surgery (MISS). Although it has significant advantages, such as less postoperative pain, short hospital stay, quick return to work, better cosmetics, and less infection rate, there are also disadvantages. The long learning curve, the need for special instruments and types of equipment, high costs, lack of tactile sensation and biplanar imaging, some complications that are hard to treat, and more radiation to the surgeon and surgical team are the disadvantages.Most studies remark that the outcomes of MISS are similar to traditional surgery. Although patients demand it more than surgeons, we predict the broad applications of MISS will replace most of our classical surgical approaches.

The Contribution of Willingness to Communicate to L2 Learners' Depth of Vocabulary Knowledge: An Empirical Study.

The issues of depth vocabulary knowledge and Willingness to Communicate (henceforth, WTC) are among the most important issues in second language learning. The present study set out to empirically look into the contribution of WTC to depth of vocabulary knowledge in L2 learning. To this end, 88 English L2 learners, divided into two groups in terms of their WTC, were given two depth vocabulary tests. The Word Association Test (WAT) was first administered to make a comparison between the depth vocabulary knowledge of the two WTC groups. Then, to triangulate the results, the Word Part Levels Test (WPLT) was administered to check whether the obtained results confirmed those of WAT. Analyzing data through independent t-test and MANOVA indicated that learners with higher levels of WTC had deeper vocabulary knowledge than those with lower levels of WTC on the WAT. Further, the triangulation results evinced that although the two groups did not differ significantly on the form-section and meaning-section of the WPLT, they significantly differed on the use-section of the test. The relevant pedagogical implications of the study are discussed.

LAGSwin: Local attention guided Swin-transformer for thermal infrared sports object detection.

Compared with visible light images, thermal infrared images have poor resolution, low contrast, signal-to-noise ratio, blurred visual effects, and less information. Thermal infrared sports target detection methods relying on traditional convolutional networks capture the rich semantics in high-level features but blur the spatial details. The differences in physical information content and spatial distribution of high and low features are ignored, resulting in a mismatch between the region of interest and the target. To address these issues, we propose a local attention-guided Swin-transformer thermal infrared sports object detection method (LAGSwin) to encode sports objects' spatial transformation and orientation information. On the one hand, Swin-transformer guided by local attention is adopted to enrich the semantic knowledge of low-level features by embedding local focus from high-level features and generating high-quality anchors while increasing the embedding of contextual information. On the other hand, an active rotation filter is employed to encode orientation information, resulting in orientation-sensitive and invariant features to reduce the inconsistency between classification and localization regression. A bidirectional criss-cross fusion strategy is adopted in the feature fusion stage to enable better interaction and embedding features of different resolutions. At last, the evaluation and verification of multiple open-source sports target datasets prove that the proposed LAGSwin detection framework has good robustness and generalization ability.

Ecology: The fruits of local knowledge.

Local and indigenous communities often have an intimate connection to nature that is reflected in their ecological knowledge and practices. A new study shows that local ecological knowledge can transform the scientific understanding of an ecological network.

Navigating the Science System: Research Integrity and Academic Survival Strategies.

Research Integrity (RI) is high on the agenda of both institutions and science policy. The European Union as well as national ministries of science have launched ambitious initiatives to combat misconduct and breaches of research integrity. Often, such initiatives entail attempts to regulate scientific behavior through guidelines that institutions and academic communities can use to more easily identify and deal with cases of misconduct. Rather than framing misconduct as a result of an information deficit, we instead conceptualize Questionable Research Practices (QRPs) as attempts by researchers to reconcile epistemic and social forms of uncertainty in knowledge production. Drawing on previous literature, we define epistemic uncertainty as the inherent intellectual unpredictability of scientific inquiry, while social uncertainty arises from the human-made conditions for scientific work. Our core argument-developed on the basis of 30 focus group interviews with researchers across different fields and European countries-is that breaches of research integrity can be understood as attempts to loosen overly tight coupling between the two forms of uncertainty. Our analytical approach is not meant to relativize or excuse misconduct, but rather to offer a more fine-grained perspective on what exactly it is that researchers want to accomplish by engaging in it. Based on the analysis, we conclude by proposing some concrete ways in which institutions and academic communities could try to reconcile epistemic and social uncertainties on a more collective level, thereby reducing incentives for researchers to engage in misconduct.

Medicine, emotience, and reason.

Medicine is faced with a number of intractable modern challenges that can be understood in terms of hyper-intellectualization; a compassion crisis, burnout, dehumanization, and lost meaning. These challenges have roots in medical philosophy and indeed general Western philosophy by way of the historic exclusion of human emotion from human reason. The resolution of these medical challenges first requires a novel philosophic schema of human knowledge and reason that incorporates the balanced interaction of human intellect and human emotion. This schema of necessity requires a novel extension of dual-process theory into epistemology in terms of both intellect and emotion each generating a distinct natural kind of knowledge independent of the other as well as how these two forms of mental process together construct human reason. Such a novel philosophic schema is here proposed. This scheme is then applied to the practice of medicine with examples of practical applications with the goal of reformulating medical practice in a more knowledgable, balanced, and healthy way. This schema's expanded epistemology becomes the philosophic foundation for more fully incorporating the humanities in medicine.

Medicine Package Recommendation via Dual-Level Interaction Aware Heterogeneous Graph.

Medicine package recommendation aims to assist doctors in clinical decision-making by recommending appropriate packages of medicines for patients. Current methods model this task as a multi-label classification or sequence generation problem, focusing on learning relationships between individual medicines and other medical entities. However, these approaches uniformly overlook the interactions between medicine packages and other medical entities, potentially resulting in a lack of completeness in recommended medicine packages. Furthermore, medicine commonsense knowledge considered by current methods is notably limited, making it challenging to delve into the decision-making processes of doctors. To solve these problems, we propose DIAGNN, a Dual-level Interaction Aware heterogeneous Graph Neural Network for medicine package recommendation. Specifically, DIAGNN explicitly models interactions of medical entities within electronic health records(EHRs) at two levels, individual medicine and medicine package, leveraging a heterogeneous graph. A dual-level interaction aware graph convolutional network is utilized to capture semantic information in the medical heterogeneous graph. Additionally, we incorporate medication indications into the medical heterogeneous graph as medicine commonsense knowledge. Extensive experimental results on real-world datasets validate the effectiveness of the proposed method.