La imagen y la narrativa como herramientas para el abordaje psicosocial en escenarios de violencia. Departamentos de Nariño y valle

Durante el diplomado de profundización y acompañamiento psicosocial en escenarios de violencia, se desarrollaron una serie de actividades y análisis de diferentes casos en donde hemos podido fortalecer nuestro aprendizaje en cuanto a la importancia del acompañamiento psicosocial en escenarios de violencia. Después de un análisis de diferentes relatos, decidimos trabajar el relato 4 de “Ana Ligia Higinio López”, del corregimiento de Aquitania, cerca del municipio de San Francisco, quien fue víctima del desplazamiento forzoso entre el 2003 y 2004 a causa de la guerra que se vivía en su pueblo A través de este ejercicio logramos profundizar en las afectaciones simbólicas y subjetivas y a su vez en técnicas que permiten tener un mejor abordaje psicosocial a la hora de trabajar con víctimas del conflicto armado. La segunda actividad se refiere al análisis del caso de Peñas Colorado en el cual podemos como futuros psicólogos, presentar una propuesta de trabajo comunitario por medio de una serie de acciones y estrategias de apoyo que permitan a las víctimas trabajar en su proceso de reconstrucción tanto individual como socialmente. Finalmente se presenta el trabajo analítico realizado en diferentes contextos en los departamentos de Nariño y Valle del Cauca, a través de la imagen y la narrativa como herramienta de abordaje psicosocial, por medio del Foto Voz, donde se tuvo la oportunidad de conocer los emergentes psicosociales, problemáticas y trabajar sobre oportunidades de mejora.During the course of the diploma course on deepening and psychosocial accompaniment in situations of violence, A series of activities and analysis of different cases were developed where we have been able to strengthen our learning regarding the importance of psychosocial accompaniment in violence scenarios. After an analysis of different stories, we decided to work the story 4 of "Ana Ligia Higinio López", from the district of Aquitaine, near the municipality of San Francisco, who was forcibly displaced between 2003 and 2004 because of the war in his village, Through this exercise, we were able to deepen our understanding of the symbolic and subjective effects and, at the same time, techniques that allow us to have a better psychosocial approach when working with victims of the armed conflict. The second activity concerns the analysis of the case of Peñas Colorado in which we can as future psychologists, submit a proposal for Community work by means of a series of actions and support strategies enabling victims to work on their reconstruction process both individually and socially. Finally, the analytical work carried out in different contexts in the departments of Nariño and Valle del Cauca is presented, through the image and narrative as a tool of psychosocial approach, through the Photo Voice, where you had the opportunity to get to know the emerging psychosocial problems and work on opportunities for improvement

Association between obesity and depression in patients with diabetes mellitus type 2; a study protocol [v1; ref status: indexed, http://f1000r.es/4y5]

Background: Diabetes mellitus and depression are highly prevalent conditions throughout the world and have significant impact on health outcomes. It has been estimated that diabetes mellitus type 2 affects about 246 million people in the world; nevertheless, incidence varies among countries. There is evidence that depression is associated with a poor metabolic control in patients with type 2 diabetes mellitus that present other health problems (such as hypertension and obesity). The aim of this study protocol is to determine if obesity increases the risk for depression in patient with diabetes type 2. Methods: The analysis will be reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).The studies suitable for inclusion will be assessed by the Newcastle-Ottawa Scale (NOS) to determine their methodological quality. To identify the studies of interest, we will search on PubMed and EBSCO databases. We will use the following keyword combinations: "Diabetes Mellitus type 2 AND obesity AND depression", "depression AND Diabetes Mellitus type 2", "Diabetes Mellitus type 2 AND body mass index cross sectional study", "depression AND obesity cross-sectional study". Causes for exclusion will be publications that studied patients diagnosed with diabetes mellitus type 1; articles that focused on the treatment and complications of diabetes mellitus type 2; publications that have studied other clinical or psychiatric conditions (for instance, seizure disorder or history of schizophrenia, bipolar disorder, psychotic symptoms or dementia). Conclusion: The results of this study will form the basis for a better understanding of the association between obesity and depression in patients with diabetes mellitus type 2, and will allow development of prediction tools and better interventions. It is evident that several modifiable and non-modifiable risk factors play an important role in the pathogenesis of diabetes among population. Currently, evidence for the deleterious effects of diabetes mellitus type 2 are based on cross-sectional or other observational designs. Therefore, this study will have important implications for future research and public health guidance

Clinical characterization of data-driven diabetes subgroups in Mexicans using a reproducible machine learning approach

Introduction Previous reports in European populations demonstrated the existence of five data-driven adult-onset diabetes subgroups. Here, we use self-normalizing neural networks (SNNN) to improve reproducibility of these data-driven diabetes subgroups in Mexican cohorts to extend its application to more diverse settings.Research design and methods We trained SNNN and compared it with k-means clustering to classify diabetes subgroups in a multiethnic and representative population-based National Health and Nutrition Examination Survey (NHANES) datasets with all available measures (training sample: NHANES-III, n=1132; validation sample: NHANES 1999–2006, n=626). SNNN models were then applied to four Mexican cohorts (SIGMA-UIEM, n=1521; Metabolic Syndrome cohort, n=6144; ENSANUT 2016, n=614 and CAIPaDi, n=1608) to characterize diabetes subgroups in Mexicans according to treatment response, risk for chronic complications and risk factors for the incidence of each subgroup.Results SNNN yielded four reproducible clinical profiles (obesity related, insulin deficient, insulin resistant, age related) in NHANES and Mexican cohorts even without C-peptide measurements. We observed in a population-based survey a high prevalence of the insulin-deficient form (41.25%, 95% CI 41.02% to 41.48%), followed by obesity-related (33.60%, 95% CI 33.40% to 33.79%), age-related (14.72%, 95% CI 14.63% to 14.82%) and severe insulin-resistant groups. A significant association was found between the SLC16A11 diabetes risk variant and the obesity-related subgroup (OR 1.42, 95% CI 1.10 to 1.83, p=0.008). Among incident cases, we observed a greater incidence of mild obesity-related diabetes (n=149, 45.0%). In a diabetes outpatient clinic cohort, we observed increased 1-year risk (HR 1.59, 95% CI 1.01 to 2.51) and 2-year risk (HR 1.94, 95% CI 1.13 to 3.31) for incident retinopathy in the insulin-deficient group and decreased 2-year diabetic retinopathy risk for the obesity-related subgroup (HR 0.49, 95% CI 0.27 to 0.89).Conclusions Diabetes subgroup phenotypes are reproducible using SNNN; our algorithm is available as web-based tool. Application of these models allowed for better characterization of diabetes subgroups and risk factors in Mexicans that could have clinical applications

Revista Temas Agrarios Volumen 26; Suplemento 1 de 2021

1st International and 2nd National Symposium of Agronomic Sciences: The rebirth of the scientific discussion space for the Colombian Agro.1 Simposio Intenacional y 2 Nacional de Ciencias Agronómicas: El renacer del espacio de discusión científica para el Agro colombiano