Estado nutricional, patrón de hábitos alimentarios y actividad física de los pacientes de 28 a 80 años con Diabetes mellitus tipo 2 que asisten al Centro de Salud del Valle durante el 2021: Propuesta de mejora que contribuya a la solución de la problemática encontrada.
Tesis
Materias > Alimentación
Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster
Universidad Internacional Iberoamericana México > Docencia > Trabajos finales de Máster
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La alimentación sana representa la ingestión de comestibles que contribuyen al mantenimiento, recuperación o mejoramiento de la salud. Una alimentación de este tipo proporciona al cuerpo los nutrientes necesarios para el buen funcionamiento del organismo, así como minimizar el riesgo de enfermedades, entre otros aspectos. Por su parte, la actividad física facilita la disminución a padecer enfermedades y evitar el riesgo de complicación en aquellas personas que presentan alguna patología. En relación a este último aspecto, es importante resaltar que en caso de personas que presentan enfermedades crónicas como por ejemplo la diabetes mellitus, es necesario que exista un control metabólico y su estado nutricional para evitar complicaciones a posteriori. Por tal motivo, en el presente estudio se planteó como objetivo general evaluar el estado nutricional y los hábitos alimentarios de los pacientes de 28 a 108 años con Diabetes mellitus tipo 2 que asisten al Centro de Salud del Valle durante el 2021. Con el fin de alcanzar dicho propósito, se llevó a cabo la investigación siguiendo el paradigma cuantitativo mediante el análisis estadístico de datos relacionados al estado nutricional de personas con diabetes mellitus mediante parámetros bioquímicos y antropométricos, los hábitos alimentarios y el grado de actividad física. En relación a la población, la misma estuvo conformada 29000 pacientes, de los cuales se tomó una muestra no probabilística de 70 pacientes. Estos pacientes tuvieron unos rangos de edades entre 28 y 80 años, diagnóstico de diabetes mellitus. De igual forma se consideraron variables teóricas como: hábitos alimentarios, estado nutricional y actividad física, mediante indicadores como alimentación saludable, ejercicios físicos, peso, talla, edad, índice de masa corporal, sedentarismo. En cuanto a la técnica e instrumento de recolección de datos, se emplearon tres instrumentos; uno de ellos titulado “comportamiento alimenticio” que constó de 31 ítems (elaborado en 2014 por Márquez, Salazar y otros). El otro instrumento titulado “Nutrición y dietética” y finalmente, el IPAQ elaborado por Carrera y para el análisis estadístico de los resultados, se empleó la estadística descriptiva, siendo los resultados expuestos a través de gráficos que fueron analizados conforme a las frecuencias arrojadas en cada porcentaje.
metadata
Astudillo Rodriguez, María De Lourdes
mail
lulyasro@hotmail.com
(2022)
Estado nutricional, patrón de hábitos alimentarios y actividad física de los pacientes de 28 a 80 años con Diabetes mellitus tipo 2 que asisten al Centro de Salud del Valle durante el 2021: Propuesta de mejora que contribuya a la solución de la problemática encontrada.
Masters thesis, SIN ESPECIFICAR.
Resumen
La alimentación sana representa la ingestión de comestibles que contribuyen al mantenimiento, recuperación o mejoramiento de la salud. Una alimentación de este tipo proporciona al cuerpo los nutrientes necesarios para el buen funcionamiento del organismo, así como minimizar el riesgo de enfermedades, entre otros aspectos. Por su parte, la actividad física facilita la disminución a padecer enfermedades y evitar el riesgo de complicación en aquellas personas que presentan alguna patología. En relación a este último aspecto, es importante resaltar que en caso de personas que presentan enfermedades crónicas como por ejemplo la diabetes mellitus, es necesario que exista un control metabólico y su estado nutricional para evitar complicaciones a posteriori. Por tal motivo, en el presente estudio se planteó como objetivo general evaluar el estado nutricional y los hábitos alimentarios de los pacientes de 28 a 108 años con Diabetes mellitus tipo 2 que asisten al Centro de Salud del Valle durante el 2021. Con el fin de alcanzar dicho propósito, se llevó a cabo la investigación siguiendo el paradigma cuantitativo mediante el análisis estadístico de datos relacionados al estado nutricional de personas con diabetes mellitus mediante parámetros bioquímicos y antropométricos, los hábitos alimentarios y el grado de actividad física. En relación a la población, la misma estuvo conformada 29000 pacientes, de los cuales se tomó una muestra no probabilística de 70 pacientes. Estos pacientes tuvieron unos rangos de edades entre 28 y 80 años, diagnóstico de diabetes mellitus. De igual forma se consideraron variables teóricas como: hábitos alimentarios, estado nutricional y actividad física, mediante indicadores como alimentación saludable, ejercicios físicos, peso, talla, edad, índice de masa corporal, sedentarismo. En cuanto a la técnica e instrumento de recolección de datos, se emplearon tres instrumentos; uno de ellos titulado “comportamiento alimenticio” que constó de 31 ítems (elaborado en 2014 por Márquez, Salazar y otros). El otro instrumento titulado “Nutrición y dietética” y finalmente, el IPAQ elaborado por Carrera y para el análisis estadístico de los resultados, se empleó la estadística descriptiva, siendo los resultados expuestos a través de gráficos que fueron analizados conforme a las frecuencias arrojadas en cada porcentaje.
Tipo de Documento: | Tesis (Masters) |
---|---|
Palabras Clave: | Alimentación sana,Actividad física,Estado nutricional,Diabetes mellitus, Comportamiento alimentario. |
Clasificación temática: | Materias > Alimentación |
Divisiones: | Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster Universidad Internacional Iberoamericana México > Docencia > Trabajos finales de Máster |
Depositado: | 03 Nov 2023 23:30 |
Ultima Modificación: | 03 Nov 2023 23:30 |
URI: | https://repositorio.unini.edu.mx/id/eprint/1644 |
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<a class="ep_document_link" href="/10290/1/Influence%20of%20E-learning%20training%20on%20the%20acquisition%20of%20competences%20in%20basketball%20coaches%20in%20Cantabria.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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The main aim of this study was to analyse the influence of e-learning training on the acquisition of competences in basketball coaches in Cantabria. The current landscape of basketball coach training shows an increasing demand for innovative training models and emerging pedagogies, including e-learning-based methodologies. The study sample consisted of fifty students from these courses, all above 16 years of age (36 males, 14 females). Among them, 16% resided outside the autonomous community of Cantabria, 10% resided more than 50 km from the city of Santander, 36% between 10 and 50 km, 14% less than 10 km, and 24% resided within Santander city. Data were collected through a Google Forms survey distributed by the Cantabrian Basketball Federation to training course students. Participation was voluntary and anonymous. The survey, consisting of 56 questions, was validated by two sports and health doctors and two senior basketball coaches. The collected data were processed and analysed using Microsoft® Excel version 16.74, and the results were expressed in percentages. The analysis revealed that 24.60% of the students trained through the e-learning methodology considered themselves fully qualified as basketball coaches, contrasting with 10.98% of those trained via traditional face-to-face methodology. The results of the study provide insights into important characteristics that can be adjusted and improved within the investigated educational process. Moreover, the study concludes that e-learning training effectively qualifies basketball coaches in Cantabria.
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Carotenoids Intake and Cardiovascular Prevention: A Systematic Review
Background: Cardiovascular diseases (CVDs) encompass a variety of conditions that affect the heart and blood vessels. Carotenoids, a group of fat-soluble organic pigments synthesized by plants, fungi, algae, and some bacteria, may have a beneficial effect in reducing cardiovascular disease (CVD) risk. This study aims to examine and synthesize current research on the relationship between carotenoids and CVDs. Methods: A systematic review was conducted using MEDLINE and the Cochrane Library to identify relevant studies on the efficacy of carotenoid supplementation for CVD prevention. Interventional analytical studies (randomized and non-randomized clinical trials) published in English from January 2011 to February 2024 were included. Results: A total of 38 studies were included in the qualitative analysis. Of these, 17 epidemiological studies assessed the relationship between carotenoids and CVDs, 9 examined the effect of carotenoid supplementation, and 12 evaluated dietary interventions. Conclusions: Elevated serum carotenoid levels are associated with reduced CVD risk factors and inflammatory markers. Increasing the consumption of carotenoid-rich foods appears to be more effective than supplementation, though the specific effects of individual carotenoids on CVD risk remain uncertain.
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The evolution of the COVID-19 pandemic has been associated with variations in clinical presentation and severity. Similarly, prediction scores may suffer changes in their diagnostic accuracy. The aim of this study was to test the 30-day mortality predictive validity of the 4C and SEIMC scores during the sixth wave of the pandemic and to compare them with those of validation studies. This was a longitudinal retrospective observational study. COVID-19 patients who were admitted to the Emergency Department of a Spanish hospital from December 15, 2021, to January 31, 2022, were selected. A side-by-side comparison with the pivotal validation studies was subsequently performed. The main measures were 30-day mortality and the 4C and SEIMC scores. A total of 27,614 patients were considered in the study, including 22,361 from the 4C, 4,627 from the SEIMC and 626 from our hospital. The 30-day mortality rate was significantly lower than that reported in the validation studies. The AUCs were 0.931 (95% CI: 0.90–0.95) for 4C and 0.903 (95% CI: 086–0.93) for SEIMC, which were significantly greater than those obtained in the first wave. Despite the changes that have occurred during the coronavirus disease 2019 (COVID-19) pandemic, with a reduction in lethality, scorecard systems are currently still useful tools for detecting patients with poor disease risk, with better prognostic capacity.
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Diabetes is a persistent health condition led by insufficient use or inappropriate use of insulin in the body. If left undetected, it can lead to further complications involving organ damage such as heart, lungs, and eyes. Timely detection of diabetes helps obtain the right medication, diet, and exercise plan to lead a healthy life. ML approach has been utilized to obtain rapid and reliable diabetes detection, however, existing approaches suffer from the use of limited datasets, lack of generalizability, and lower accuracy. This study proposes a novel feature extraction approach to overcome these limitations by using an ensemble of convolutional neural network (CNN) and long short-term memory (LSTM) models. Multiple datasets are combined to make a larger dataset for experiments and multiple features are utilized for investigating the efficacy of the proposed approach. Features from the extra tree classifier, CNN, and LSTM are also considered for comparison. Experimental results reveal the superb performance of CNN-LSTM-based features with random forest model obtaining a 0.99 accuracy score. This performance is further validated by comparison with existing approaches and k-fold cross-validation which shows the proposed approach provides robust results.
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