Detección de conductas de riesgo para el desarrollo de trastornos de la conducta alimentaria entre adolescentes de 13 a 18 años de edad, Chile. Desarrollo de un programa para prevención y tratamiento de trastornos de la conducta alimentaria.

Tesis Materias > Alimentación Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster Cerrado Español Los trastornos de la conducta alimentaria son patologías de gravedad que se inician tempranamente, principalmente durante la adolescencia, afectando tanto a hombres como mujeres de todo el mundo. Actualmente diversos factores intervienen en su pesquisa y tratamiento oportuno, siendo un punto importante la falta de guías de práctica clínica en América latina y la de un equipo multidisciplinario especializado. El objetivo del presente proyecto final, es determinar el riesgo de desarrollar un trastorno de la conducta alimentaria en adolescentes chilenos de 13 a 18 años a través de un test de actitudes alimentarias (EAT 26) y en segunda instancia el diseñar un programa educativo, para prevención, enfocado en estudiantes de enseñanza básica y primer año de enseñanza superior (13-18 años). La metodología utilizada corresponde a un estudio cuantitativo de tipo transversal de tipo no experimental, el cual arrojó como principales resultados que el 62% de la muestra presenta malnutrición, ya sea por déficit o por exceso, y que un 61% de la muestra presenta riesgo de desarrollar un trastorno de la conducta alimentaria, existiendo una relación estadísticamente significativa entre la categoría de riesgo y el sexo del entrevistado, presentándose un mayor riesgo de desarrollar un TCA en el grupo de estudiantes pertenecientes al sexo femenino. Otros factores condicionantes del riesgo, resultaron ser aquellos aspectos que no entregaban puntuación en el instrumento utilizado, EAT 26, entre ellos, la presencia de atracones, la inducción del vómito, la realización de ejercicio extenuante y el haber perdido más de 9 kilos en el último semestre. Por ello, resulta necesario actualizar los programas de prevención en salud al interior de los establecimientos educacionales, modernizar los enfoques de atención, conforme avanza la transición epidemiológica y diseñar guías de práctica clínica con sus correspondientes equipos capacitados. Sólo de esta forma se podrá actuar mancomunadamente en prevención y tratamiento precoz de patologías prevalentes como los son en la actualidad, los trastornos de la conducta alimentaria. metadata Quiñones Rojas, Priscila Betzabeth mail Pquinonesr@gmail.com (2022) Detección de conductas de riesgo para el desarrollo de trastornos de la conducta alimentaria entre adolescentes de 13 a 18 años de edad, Chile. Desarrollo de un programa para prevención y tratamiento de trastornos de la conducta alimentaria. Masters thesis, SIN ESPECIFICAR.

Texto completo no disponible.

Resumen

Los trastornos de la conducta alimentaria son patologías de gravedad que se inician tempranamente, principalmente durante la adolescencia, afectando tanto a hombres como mujeres de todo el mundo. Actualmente diversos factores intervienen en su pesquisa y tratamiento oportuno, siendo un punto importante la falta de guías de práctica clínica en América latina y la de un equipo multidisciplinario especializado. El objetivo del presente proyecto final, es determinar el riesgo de desarrollar un trastorno de la conducta alimentaria en adolescentes chilenos de 13 a 18 años a través de un test de actitudes alimentarias (EAT 26) y en segunda instancia el diseñar un programa educativo, para prevención, enfocado en estudiantes de enseñanza básica y primer año de enseñanza superior (13-18 años). La metodología utilizada corresponde a un estudio cuantitativo de tipo transversal de tipo no experimental, el cual arrojó como principales resultados que el 62% de la muestra presenta malnutrición, ya sea por déficit o por exceso, y que un 61% de la muestra presenta riesgo de desarrollar un trastorno de la conducta alimentaria, existiendo una relación estadísticamente significativa entre la categoría de riesgo y el sexo del entrevistado, presentándose un mayor riesgo de desarrollar un TCA en el grupo de estudiantes pertenecientes al sexo femenino. Otros factores condicionantes del riesgo, resultaron ser aquellos aspectos que no entregaban puntuación en el instrumento utilizado, EAT 26, entre ellos, la presencia de atracones, la inducción del vómito, la realización de ejercicio extenuante y el haber perdido más de 9 kilos en el último semestre. Por ello, resulta necesario actualizar los programas de prevención en salud al interior de los establecimientos educacionales, modernizar los enfoques de atención, conforme avanza la transición epidemiológica y diseñar guías de práctica clínica con sus correspondientes equipos capacitados. Sólo de esta forma se podrá actuar mancomunadamente en prevención y tratamiento precoz de patologías prevalentes como los son en la actualidad, los trastornos de la conducta alimentaria.

Tipo de Documento: Tesis (Masters)
Palabras Clave: Valoración clínica nutricional, Plan prevención TCA, Trastornos alimentarios pediatría, EAT 26, Anorexia, Bulimia.
Clasificación temática: Materias > Alimentación
Divisiones: Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster
Depositado: 03 Nov 2023 23:30
Ultima Modificación: 03 Nov 2023 23:30
URI: https://repositorio.uneatlantico.es/id/eprint/1759

Acciones (logins necesarios)

Ver Objeto Ver Objeto

en

close

Enzymatic treatment shapes in vitro digestion pattern of phenolic compounds in mulberry juice

The health benefits of mulberry fruit are closely associated with its phenolic compounds. However, the effects of enzymatic treatments on the digestion patterns of these compounds in mulberry juice remain largely unknown. This study investigated the impact of pectinase (PE), pectin lyase (PL), and cellulase (CE) on the release of phenolic compounds in whole mulberry juice. The digestion patterns were further evaluated using an in vitro simulated digestion model. The results revealed that PE significantly increased chlorogenic acid content by 77.8 %, PL enhanced cyanidin-3-O-glucoside by 20.5 %, and CE boosted quercetin by 44.5 %. Following in vitro digestion, the phenolic compound levels decreased differently depending on the treatment, while cyanidin-3-O-rutinoside content increased across all groups. In conclusion, the selected enzymes effectively promoted the release of phenolic compounds in mulberry juice. However, during gastrointestinal digestion, the degradation of phenolic compounds surpassed their enhanced release, with effects varying based on the compound's structure.

Artículos y libros

Peihuan Luo mail , Jian Ai mail , Qiongyao Wang mail , Yihang Lou mail , Zhiwei Liao mail , Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es, Elwira Sieniawska mail , Weibin Bai mail , Lingmin Tian mail ,

Luo

en

close

A novel machine learning-based proposal for early prediction of endometriosis disease

Background Endometriosis is one of the causes of female infertility, with some studies estimating its prevalence at around 10 % of reproductive-age women worldwide and between 30 and 50 % in symptomatic women. However, its diagnosis is complex and often delayed, highlighting the need for more accessible and accurate diagnostic methods. The difficulty lies in its diverse etiology and the variability of symptoms among those affected. Methods This study proposes a predictive model based on supervised machine learning for the early identification of endometriosis, providing support for decision-making by healthcare professionals. For this purpose, an anonymised dataset of 5,143 female patients diagnosed with endometriosis at the private fertility clinic Inebir was used. The model integrates clinical records and genetic analysis through supervised machine learning algorithms, focusing on clinical variables and pathogenic and potentially pathogenic genetic variants. Results The developed predictive model achieves high accuracy in identifying the presence of endometriosis, highlighting the importance of combining clinical and genetic data in diagnosis. The integration of this data into the DELFOS platform, a clinical decision support system, demonstrates the utility of machine learning in improving the diagnosis of endometriosis. Conclusions The findings underscore the potential of clinical and genetic factors in the early diagnosis of endometriosis using supervised machine learning algorithms. This study contributes to the classification of clinical variables that influence endometriosis, offering a valuable tool for clinicians in making therapeutic and management decisions for their female patients.

Artículos y libros

Elena Enamorado-Díaz mail , Leticia Morales-Trujillo mail , Julián-Alberto García-García mail , Ana Teresa Marcos Rodríguez mail anateresa.marcos@uneatlantico.es, José Manuel Navarro-Pando mail jose.navarro@uneatlantico.es, María-José Escalona-Cuaresma mail ,

Enamorado-Díaz

<a class="ep_document_link" href="/17788/1/s40537-025-01167-w.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>

en

open

Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis

The proliferation of damaging content on social media in today’s digital environment has increased the need for efficient hate speech identification systems. A thorough examination of hate speech detection methods in a variety of settings, such as code-mixed, multilingual, visual, audio, and textual scenarios, is presented in this paper. Unlike previous research focusing on single modalities, our study thoroughly examines hate speech identification across multiple forms. We classify the numerous types of hate speech, showing how it appears on different platforms and emphasizing the unique difficulties in multi-modal and multilingual settings. We fill research gaps by assessing a variety of methods, including deep learning, machine learning, and natural language processing, especially for complicated data like code-mixed and cross-lingual text. Additionally, we offer key technique comparisons, suggesting future research avenues that prioritize multi-modal analysis and ethical data handling, while acknowledging its benefits and drawbacks. This study attempts to promote scholarly research and real-world applications on social media platforms by acting as an essential resource for improving hate speech identification across various data sources.

Artículos y libros

Hafiz Muhammad Raza Ur Rehman mail , Mahpara Saleem mail , Muhammad Zeeshan Jhandir mail , Eduardo René Silva Alvarado mail eduardo.silva@funiber.org, Helena Garay mail helena.garay@uneatlantico.es, Imran Ashraf mail ,

Raza Ur Rehman

<a href="/17569/1/Food%20Frontiers%20-%202025%20-%20Romero%E2%80%90Marquez%20-%20Olive%20Leaf%20Extracts%20With%20High%20%20Medium%20%20or%20Low%20Bioactive%20Compounds%20Content.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>

en

open

Olive Leaf Extracts With High, Medium, or Low Bioactive Compounds Content Differentially Modulate Alzheimer's Disease via Redox Biology

Alzheimer's disease (AD) involves β-amyloid plaques and tau hyperphosphorylation, driven by oxidative stress and neuroinflammation. Cyclooxygenase-2 (COX-2) and acetylcholinesterase (AChE) activities exacerbate AD pathology. Olive leaf (OL) extracts, rich in bioactive compounds, offer potential therapeutic benefits. This study aimed to assess the anti-inflammatory, anti-cholinergic, and antioxidant effects of three OL extracts (low, mid, and high bioactive content) in vitro and their protective effects against AD-related proteinopathies in Caenorhabditis elegans models. OL extracts were characterized for phenolic composition, AChE and COX-2 inhibition, as well as antioxidant capacity. Their effects on intracellular and mitochondrial reactive oxygen species (ROS) were tested in C. elegans models expressing human Aβ and tau proteins. Gene expression analyses examined transcription factors (DAF-16, skinhead [SKN]-1) and their targets (superoxide dismutase [SOD]-2, SOD-3, GST-4, and heat shock protein [HSP]-16.2). High-OL extract demonstrated superior AChE and COX-2 inhibition and antioxidant capacity. Low- and high-OL extracts reduced Aβ aggregation, ROS levels, and proteotoxicity via SKN-1/NRF-2 and DAF-16/FOXO pathways, whereas mid-OL showed moderate effects through proteostasis modulation. In tau models, low- and high-OL extracts mitigated mitochondrial ROS levels via SOD-2 but had limited effects on intracellular ROS levels. High-OL extract also increased GST-4 levels, whereas low and mid extracts enhanced GST-4 levels. OL extracts protect against AD-related proteinopathies by modulating oxidative stress, inflammation, and proteostasis. High-OL extract showed the most promise for nutraceutical development due to its robust phenolic profile and activation of key antioxidant pathways. Further research is needed to confirm long-term efficacy.

Artículos y libros

Jose M. Romero‐Marquez mail , María D. Navarro‐Hortal mail , Alfonso Varela‐López mail , Rubén Calderón Iglesias mail ruben.calderon@uneatlantico.es, Juan G. Puentes mail , Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es, Cristina Sánchez‐González mail , Jianbo Xiao mail , Roberto García‐Ruiz mail , Sebastián Sánchez mail , Tamara Y. Forbes‐Hernández mail , José L. Quiles mail jose.quiles@uneatlantico.es,

Romero‐Marquez

<a class="ep_document_link" href="/17570/1/eFood%20-%202025%20-%20Navarro%E2%80%90Hortal%20-%20Effects%20of%20a%20Garlic%20Hydrophilic%20Extract%20Rich%20in%20Sulfur%20Compounds%20on%20Redox%20Biology%20and.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>

en

open

Effects of a Garlic Hydrophilic Extract Rich in Sulfur Compounds on Redox Biology and Alzheimer's Disease Markers in Caenorhabditis Elegans

Garlic is a horticultural product highly valued for its culinary and medicinal attributes. The aim of this study was to evaluate the composition of a garlic hydrophilic extract as well as the influence on redox biology, Alzheimer's Disease (AD) markers and aging, using Caenorhabditis elegans as experimental model. The extract was rich in sulfur compounds, highlighting the presence of other compounds like phenolics, and the antioxidant property was corroborated. Regarding AD markers, the acetylcholinesterase inhibitory capacity was demonstrated in vitro. Although the extract did not modify the amyloid β-induced paralysis degree, it was able to improve, in a dose-dependent manner, some locomotive parameters affected by the hyperphosphorylated tau protein in C. elegans. It could be related to the effect found on GFP-transgenic stains, mainly regarding to the increase in the gene expression of HSP-16.2. Moreover, an initial investigation into the aging process revealed that the extract successfully inhibited the accumulation of intracellular and mitochondrial reactive oxygen species in aged worms. These results provide valuable insights into the multifaceted impact of garlic extract, particularly in the context of aging and neurodegenerative processes. This study lays a foundation for further research avenues exploring the intricate molecular mechanisms underlying garlic effects and its translation into potential therapeutic interventions for age-related neurodegenerative conditions.

Artículos y libros

María D. Navarro‐Hortal mail , Jose M. Romero‐Marquez mail , Johura Ansary mail , Cristina Montalbán‐Hernández mail , Alfonso Varela‐López mail , Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Jianbo Xiao mail , Rubén Calderón Iglesias mail ruben.calderon@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es, Cristina Sánchez‐González mail , Tamara Y. Forbes‐Hernández mail , José L. Quiles mail jose.quiles@uneatlantico.es,

Navarro‐Hortal