Repositorio Universidad Europea del Atlántico
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Mediators between sexual abuse and eating disorder severity: A comparative case‐control study in treatment‐naïve patients
No full textObjective
Sexual abuse is associated with eating disorders (EDs) severity. However, the psychological mediators of this association have received scant attention in the literature.
Method
The present study aimed to evaluate the mediating role of psychological maladjustment, alexithymia, and self-esteem in the relationship between sexual abuse and EDs severity in a sample of 134 treatment-naïve patients with an EDs and 129 paired healthy controls.
Results
In the EDs group, EDs severity among participants who had been sexually abused was mediated by greater psychological maladjustment and alexithymia (indirect effects: β = 12.55, 95% CI [6.11–19.87] p < 0.001; β = 3.22, 95% CI [0.235–7.97] p < 0.05, respectively). By contrast, these variables had no significant mediating effect on EDs severity in the control group.
Discussion
These findings support the hypothesis of a disorder-related relationship between sexual abuse and alexithymia and psychological maladjustment, which, in turn, influences EDs severity. Alexithymia and psychological maladjustment appear to be promising therapeutic targets for patients with EDs who have a history of sexual abuse
A Proxy Approach to Family Involvement and Neurocognitive Function in First Episode of Non-Affective Psychosis: Sex-Related Differences
Get PDFSchizophrenia spectrum disorders (SSD) often show cognitive deficits (CD) impacting daily life. Family support has been shown to be protective against CD, yet the relationship between these in psychotic patients remains complex and not fully understood. This study investigated the association between a subdomain of family support, namely, family involvement (estimated through a proxy measure), cognitive functioning, and sex in first-episode psychosis (FEP) patients. The sample included 308 patients enrolled in the Program for Early Phases of Psychosis (PAFIP), divided into 4 groups based on their estimated family involvement (eFI) level and sex, and compared on various variables. Women presented lower rates of eFI than men (37.1% and 48.8%). Higher eFI was associated with better cognitive functioning, particularly in verbal memory. This association was stronger in women. The findings suggest that eFI may be an important factor in FEP patients’ cognitive functioning. This highlights the importance of including families in treatment plans for psychotic patients to prevent CD. Further research is needed to better understand the complex interplay between family support, sex, and cognitive functioning in psychotic patients and develop effective interventions that target these factors
Voxel Extraction and Multiclass Classification of Identified Brain Regions across Various Stages of Alzheimer’s Disease Using Machine Learning Approaches
No full textThis study sought to investigate how different brain regions are affected by Alzheimer’s disease (AD) at various phases of the disease, using independent component analysis (ICA). The study examines six regions in the mild cognitive impairment (MCI) stage, four in the early stage of Alzheimer’s disease (AD), six in the moderate stage, and six in the severe stage. The precuneus, cuneus, middle frontal gyri, calcarine cortex, superior medial frontal gyri, and superior frontal gyri were the areas impacted at all phases. A general linear model (GLM) is used to extract the voxels of the previously mentioned regions. The resting fMRI data for 18 AD patients who had advanced from MCI to stage 3 of the disease were obtained from the ADNI public source database. The subjects include eight women and ten men. The voxel dataset is used to train and test ten machine learning algorithms to categorize the MCI, mild, moderate, and severe stages of Alzheimer’s disease. The accuracy, recall, precision, and F1 score were used as conventional scoring measures to evaluate the classification outcomes. AdaBoost fared better than the other algorithms and obtained a phenomenal accuracy of 98.61%, precision of 99.00%, and recall and F1 scores of 98.00% each
CLINICALSIM: Clinical simulation practice-based learning in nursing
No full textCLINICALSIM is a capability building project targeted to Angola Higher Education Institutions with the aim of improving the practical training of nurses. Nurses are in the focus of health challenges in Angola and they are highly demanded in healthcare, meanwhile their practical competencies are considered as a critical issue. The consortium pursues filling the gap in practical skills (decision-making, interpersonal skills, human nutrition) and promoting HEIs social commitment. We will take advantage of simulation suites and multimedia digital tools to deploy experiential learnings and to promote a Community Service/Service-Learning into the universities.
The experiential learning will take place in three different scenarios: simulation suites, digital multimedia and real patients. A reflective practice methodology with a debriefing process will be followed.
In the context of Service-Learning, we also introduce the social aim of CLINICALSIM and we appoint special considerations to individuals with socio-economic obstacles and health problems and the promotion of better nutrition habits.
CLINICALSIM es un proyecto de desarrollo de capacidades dirigido a las Instituciones de Educación Superior (IES) de Angola con el objetivo de mejorar la formación práctica de los profesionales de la enfermería. Este colectivo se encuentra en el centro de los retos sanitarios en Angola y es muy solicitado en la asistencia sanitaria, mientras que sus competencias prácticas se consideran una cuestión crítica. El consorcio pretende llenar el vacío existente en las habilidades prácticas (toma de decisiones, habilidades interpersonales, nutrición humana) y promover el compromiso social de las IES.
Se aprovecharán las suites de simulación y las herramientas digitales multimedia para desplegar aprendizajes experienciales y promover un Servicio Comunitario/Aprendizaje-Servicio en las universidades.
El aprendizaje experiencial se llevará a cabo en tres escenarios diferentes: salas de simulación, multimedia digital y pacientes reales, siguiendo una metodología de práctica reflexiva con un proceso de debriefing.
En el contexto del Aprendizaje-Servicio, también se introduce el objetivo social de CLINICALSIM y se nombran consideraciones especiales a individuos con obstáculos socioeconómicos y problemas de salud y la promoción de mejores hábitos de nutrición
Prehospital acute life-threatening cardiovascular disease in elderly: an observational, prospective, multicentre, ambulance-based cohort study
Get PDFObjective The aim was to explore the association of demographic and prehospital parameters with short-term and long-term mortality in acute life-threatening cardiovascular disease by using a hazard model, focusing on elderly individuals, by comparing patients under 75 years versus patients over 75 years of age.
Design Prospective, multicentre, observational study.
Setting Emergency medical services (EMS) delivery study gathering data from two back-to-back studies between 1 October 2019 and 30 November 2021. Six advanced life support (ALS), 43 basic life support and five hospitals in Spain were considered.
Participants Adult patients suffering from acute life-threatening cardiovascular disease attended by the EMS.
Primary and secondary outcome measures The primary outcome was in-hospital mortality from any cause within the first to the 365 days following EMS attendance. The main measures included prehospital demographics, biochemical variables, prehospital ALS techniques used and syndromic suspected conditions.
Results A total of 1744 patients fulfilled the inclusion criteria. The 365-day cumulative mortality in the elderly amounted to 26.1% (229 cases) versus 11.6% (11.6%) in patients under 75 years old. Elderly patients (≥75 years) presented a twofold risk of mortality compared with patients ≤74 years. Life-threatening interventions (mechanical ventilation, cardioversion and defibrillation) were also related to a twofold increased risk of mortality. Importantly, patients suffering from acute heart failure presented a more than twofold increased risk of mortality.
Conclusions This study revealed the prehospital variables associated with the long-term mortality of patients suffering from acute cardiovascular disease. Our results provide important insights for the development of specific codes or scores for cardiovascular diseases to facilitate the risk of mortality characterisation
“¡La Sirenita es como yo!”: diversidad intercultural, inclusión y autoestima infantil en TikTok
Get PDFA medida que los medios extienden mundialmente la concienciación sobre la inclusión y la diversidad intercultural, en redes sociales como TikTok emergen nuevas vías para el debate, lo que afecta, entre otros, al público infantil. Una muestra de ello son los populares vídeos-reacción que, ante lanzamientos cinematográficos como el teaser del live action de La Sirenita de Disney, construyen cadenas de interacción en las que se polemiza sobre la representación simbólica, la descentralización colonial, la ruptura estereotípica o el imaginario caucásico en la infancia. Este estudio explora las reacciones infantiles y el sentimiento comunitario desplegado en TikTok mediante el análisis cualitativo de 50 vídeo-reacciones y el análisis de sentimiento de 11,510 comentarios. Para ello, se desarrolló un análisis de contenido inductivo que introducía 10 códigos, como “diversidad e inclusión”, “emociones”, “prejuicios” e “identidad racial/étnica”, y un análisis de sentimiento codificado con procesamiento del lenguaje natural e inteligencia artificial basado en el modelo GPT de OpenAI. Los resultados revelan que la representación de una protagonista afroamericana, Halle Bailey, es bien recibida por los menores, generando un positivismo generalizado en torno a la diversidad intercultural. La tez negra y el cabello castaño cobrizo frente a la que fue un icono caucásico y pelirrojo parece no amedrentar a los infantes, que expresan entusiasmo y emoción ante su papel. Esta representación denota una suerte de positivismo generalizado, en el que el imaginario “Disneyzado” adulto e infantil apunta hacia un futuro basado en la diversidad y la autoestima infantil
Deep Learning-Based Multiclass Instance Segmentation for Dental Lesion Detection
Get PDFAutomated dental imaging interpretation is one of the most prolific areas of research using artificial intelligence. X-ray imaging systems have enabled dental clinicians to identify dental diseases. However, the manual process of dental disease assessment is tedious and error-prone when diagnosed by inexperienced dentists. Thus, researchers have employed different advanced computer vision techniques, as well as machine and deep learning models for dental disease diagnoses using X-ray imagery. In this regard, a lightweight Mask-RCNN model is proposed for periapical disease detection. The proposed model is constructed in two parts: a lightweight modified MobileNet-v2 backbone and region-based network (RPN) are proposed for periapical disease localization on a small dataset. To measure the effectiveness of the proposed model, the lightweight Mask-RCNN is evaluated on a custom annotated dataset comprising images of five different types of periapical lesions. The results reveal that the model can detect and localize periapical lesions with an overall accuracy of 94%, a mean average precision of 85%, and a mean insection over a union of 71.0%. The proposed model improves the detection, classification, and localization accuracy significantly using a smaller number of images compared to existing methods and outperforms state-of-the-art approache
Revisión sistemática sobre la eficacia de la TCC-E en anorexia nerviosa
No full textLa anorexia nerviosa se puede describir como un trastorno de conducta alimentaria, el cual se entiende como la restricción de alimentos que provoca diferentes consecuencias en las personas que sufren este trastorno como un bajo Índice de Masa Corporal y además, estas personas mantienen creencias irracionales sobre el peso y la forma de percibir su propio cuerpo. Por lo tanto, el presente estudio tiene como objetivo llevar a cabo una revisión sistemática para averiguar la eficacia de la TCC-E en la anorexia nerviosa. Se llevó a cabo una búsqueda en las bases de datos de PubMed, Scopus y Sciencedirect y se introdujeron los términos “Anorexia Nervosa” and “Cognitive Behavioural Therapy”. De todas las bases mencionadas, se seleccionaron un total de 15 artículos. En definitiva, como conclusión se puede afirmar que la TCC-E se considera un tratamiento eficaz para las personas que sufren anorexia nerviosa
Artificial Intelligence and Behavioral Economics: A Bibliographic Analysis of Research Field
No full textBehavioral economics and artificial intelligence (AI) have been two rapidly growing fields of research over the past few years. While behavioral economics aims to combine concepts from psychology, sociology, and neuroscience with classical economic thoughts to understand human decision-making processes in the complex economic environment, AI on the other hand, focuses on creating intelligent machines that can mimic human cognitive abilities such as learning, problem-solving, decision-making, and language understanding. The intersection of these two fields has led to thrilling research theories and practical applications. This study provides a bibliometric analysis of the literature on AI and behavioral economics to gain insight into research trends in this field. We conducted this bibliometric analysis using the Web of Science database on articles published between 2012 and 2022 that were related to AI and behavioral economics. VOSviewer and Bibliometrix R package were utilized to identify influential authors, journals, institutions, and countries in the field. Network analysis was also performed to identify the main research themes and their interrelationships. The analysis revealed that the number of publications on AI and behavioral economics has been increasing steadily over the past decade. We found that most studies focused on customer and consumer behavior, including topics such as decision-making under uncertainty, neuroeconomics, and behavioral game theory, combined mainly with machine learning and deep learning techniques. We also identified several emerging themes, including the use of AI in nudging and prospect theory in behavioral finance, as well as undeveloped themes such as AI-driven behavioral macroeconomics. The findings suggests that there is a need for more interdisciplinary collaboration between researchers in behavioral economics and AI. We also suggest that future research on AI and behavioral economics further consider the ethical implications of using AI and behavioral insights in decision-making. This study can serve as a valuable resource for researchers interested in AI and behavioral economics
Nutritional Modulation of Hepcidin in the Treatment of Various Anemic States
Get PDFTwenty years after its discovery, hepcidin is still considered the main regulator of iron homeostasis in humans. The increase in hepcidin expression drastically blocks the flow of iron, which can come from one’s diet, from iron stores, and from erythrophagocytosis. Many anemic conditions are caused by non-physiologic increases in hepcidin. The sequestration of iron in the intestine and in other tissues poses worrying premises in view of discoveries about the mechanisms of ferroptosis. The nutritional treatment of these anemic states cannot ignore the nutritional modulation of hepcidin, in addition to the bioavailability of iron. This work aims to describe and summarize the few findings about the role of hepcidin in anemic diseases and ferroptosis, as well as the modulation of hepcidin levels by diet and nutrients