European Scientific Journal, ESJ

Asociación de redes de apoyo y adherencia al tratamiento en pacientes con diabetes tipo 2

2025-11-13T11:20:55+00:00

Introducción: La diabetes tipo 2 es una enfermedad crónica con un impacto significativo en la calidad de vida, y las redes de apoyo disponibles para los pacientes para afrontar la enfermedad pueden estar asociadas con el control de la enfermedad. Materiales y métodos: Se realizó un estudio cuantitativo, observacional, transversal, de análisis de asociación. La muestra estuvo compuesta por 286 pacientes, divididos en dos grupos: pacientes con diabetes tipo 2 con redes de apoyo y adherencia al tratamiento; y pacientes con diabetes tipo 2 sin redes de apoyo ni adherencia al tratamiento. Variables sociodemográficas: edad, sexo, estado civil, ocupación, educación; variables clínicas: años desde el diagnóstico de diabetes tipo 2, adherencia al tratamiento, redes de apoyo, glucosa en ayunas, hemoglobina glucosilada y medicamentos utilizados. Análisis estadístico: medias, porcentajes, prueba de chi-cuadrado. Resultados: En ambos grupos predominó el sexo femenino, de 51 a 60 años, empleados, educación secundaria, casados, variables clínicas de 1 a 5 años de diagnóstico, uso de 3 fármacos, glucosa en ayunas y hemoglobina glucosilada, la categoría controlada sobresalió en pacientes con redes de apoyo con 59% y 68% respectivamente, mientras que sin redes de apoyo predominó la no controlada con 63% y 53% ambas cifras valor p = 000, respecto a la asociación en el grupo con redes de apoyo sobresalió la adherencia con 66%, mientras que en el grupo sin redes de apoyo no hubo adherencia al tratamiento en 65%, ambos datos con significancia estadística. Conclusiones: Existe asociación entre redes de apoyo y adherencia al tratamiento.

Introduction: Type 2 diabetes is a chronic disease with a significant impact on quality of life, and the support networks available to patients to cope with the disease may be associated with disease control. Materials and methods: A quantitative, observational, cross-sectional, association-analytic study was conducted. The sample consisted of 286 patients, divided into two groups: patients with type 2 diabetes with support networks and treatment adherence; and patients with type 2 diabetes without support networks and treatment adherence. Sociodemographic variables: age, sex, marital status, occupation, education; clinical variables: years since type 2 diabetes diagnosis, treatment adherence, support networks, fasting glucose, glycated hemoglobin, and medications used. Statistical analysis: means, percentages, chi-square test. Results: In both groups, the female sex predominated, from 51 to 60 years old, employed, secondary education, married, clinical variables from 1 to 5 years of diagnosis, using 3 drugs, fasting glucose and glycated hemoglobin, the controlled category stood out in patients with support networks at 59% and 68% respectively, while without support networks the uncontrolled predominated with 63% and 53% both figures a p value = 000, regarding the association in the group with support networks, adherence stood out at 66%, while in the group without support networks there was no adherence to treatment in 65%, both data with statistical significance. Conclusions: There is an association between support networks and adherence to treatment.

Exploring Saudi EFL Learners’ Perceptions and Use of AIPowered English Language Learning Platforms in the Context of Vision 2030

2025-11-13T11:16:09+00:00

The given study talks about how Saudi EFL students perceive and use AI-based learning tools in English language classes based on the technology acceptance model (TAM) and Saudi Vision 2030. A quantitative descriptive approach was employed in the collection of data through an online questionnaire that was sent to 68 Saudi undergraduate students studying in Saudi public universities who were males. As the results have shown, the level of awareness of AI tools was very high (83.8%), and the most used platforms were ChatGPT, Duolingo, and Grammarly. Students displayed fairly favourable attitudes concerning the usefulness of AI and the benefits of engagement, but reported difficulties associated with overdependence, privacy benefits, and a lack of Arabic compatibility. Overall, the results demonstrate a balanced optimism and propose institutional policies, ethical education, and AI literacy to facilitate successful implementation in Saudi higher education.

Quantification des mutations des formations végétales 2002- 2022 dans la moitié sud du Parc National de la Comoé, au Nord de la Côte d’Ivoire par imagerie spatiale

2025-11-12T22:26:31+00:00

Le Parc National de la Comoé, situé au nord de la Côte d’Ivoire, est un écosystème riche mais soumis à des pressions anthropiques et climatiques malgré son statut protégé. Cette étude analyse l’évolution de l’occupation du sol dans la moitié sud du parc entre 2002, 2012 et 2022, à partir d’images satellitaires LANDSAT. La méthodologie multi-temporelle, validée par des matrices de confusion, permet de quantifier les changements entre classes d’occupation du sol. L’étude de la dynamique végétale dans la partie sud du Parc National de la Comoé (2002-2022) révèle deux phases contrastées. De 2002 à 2012, une forte diminution des forêts denses (-51%) avec une légère hausse des savanes. De de 2012 à 2022, une régénération partielle des forêts denses (+47%) et des forêts claires/savanes boisées (+33,5%) avec une légère baisse des savanes. Sur l’ensemble de la période (2002-2022),, les savanes arbustives affichent la plus grande stabilité (89,6%) alors que les formations forestières sont plus vulnérables aux mutations, accompagnée d’une légère augmentation des sols nus attestant des pressions anthropiques et climatiques. Par ailleurs, le réseau hydrographique a considérablement augmenté, illustrant des changements structurels importants. Ces résultats reflètent l’influence combinée de facteurs naturels et humains. Malgré une résilience certaine, la fragmentation des habitats et les pressions persistantes imposent une gestion intégrée, notamment la restauration des corridors écologiques et la gestion des feux, pour assurer la conservation biologique à long terme.

Comoé National Park, located in northern Côte d’Ivoire, is a rich ecosystem but faces anthropogenic and climatic pressures despite its protected status. This study analyzes land cover changes in the southern half of the park between 2002, 2012, and 2022 using LANDSAT satellite imagery. The multi-temporal methodology, validated by confusion matrices, quantifies changes between land cover classes. The vegetation dynamics reveal two contrasting phases. From 2002 to 2012, dense forests strongly declined (-51%) while savannas slightly increased. From 2012 to 2022, partial regeneration occurred in dense forests (+47%) and in open forests/wooded savannas (+33.5%), accompanied by a slight decrease in savannas. Over the entire period, shrub savannas showed the greatest stability (89.6%), whereas forest formations were more vulnerable to change, alongside a slight increase in bare soils, indicating human and climatic pressures. Additionally, the hydrographic network has been significantly expanded, illustrating major structural changes. These results reflect the combined influence of natural and human factors. Despite evident resilience, habitat fragmentation and ongoing pressures require integrated management, notably ecological corridor restoration and fire management, to ensure long-term biological conservation.