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Dentro del campo del crecimiento y desarrollo, el cálculo antropométrico, es una de las herramientas más utilizadas para encontrar indicadores válidos del estado general del crecimiento biológico de una población en su interacción con los diversos factores sociales. Frente al evidente proceso de pauperización por el que viene transcurriendo el país, la evaluación del estado nutricional de la población infantil, tanto en sus aspectos poblacionales como individuales, se hace necesaria y cotidiana. Presentamos aquí un software de escritorio que permite el cálculo y la graficación de las principales variables antropométricas. El E.V.A. 1.0 (Evaluación y Visualización Antropométrica) brinda también la posibilidad de almacenar los datos, de incorporar tablas de comparación (por default el sistema trae las tablas de la SAP y del NCHS), y de exportar la información al programa EPINFO y a la mayoría de las aplicaciones estándar de escritorio (planillas de cálculo, procesadores de texto, etc.). La aplicación posee también una modalidad de sugerencias de diagnóstico, con referencias bibliográficas, que puede ser de ayuda, tanto para el profesional de A.P.S. como para el investigador.

Background: Individuals living with complex diabetes in medically underserved areas face additional barriers to accessing needed services and support. This study used photo elicitation interviews (PEI) to develop a rich understanding of everyday life among individuals with complex diabetes living in such areas of New Mexico (NM). Methods: Five individuals with T1DM and 3 with complex T2DM receiving care through Endo ECHO in NM received digital cameras and the task of taking photographs about their experience of living with diabetes, and then participated in interviews with our team, during which they selected 10 photos from their collections to discuss. Interviews were recorded and transcribed, and then coded using Grounded Theory in an iterative process. Results: Six family-codes emerged: Self-management, health care, support, complications, food, and coping strategies. Three overarching axial codes were identified: Rural living, body self-knowledge, and diabetes burden. A picture of the relentless and never-ending nature of managing diabetes emerged in the analysis. Over half of the photos were of food, both healthy and forbidden; food is an overriding concern, and participants' understanding of healthy food varied greatly. Participants noted important sources of support and optimism, and the joy of activities beyond diabetes care such as online gaming, raising chickens, or hiking. Conclusions: Participants shared their unique perspectives; however, regardless of participants' age, diabetes diagnosis, and gender, they uniformly expressed acute awareness of the permanent burden of their condition, the challenges of self-management, and the need to overcome the barriers of living in medically underserved areas. PEI proved to be a valuable method for ascertaining a deep understanding of individuals' daily experience of living with complex diabetes. Disclosure: M.M. Paul: None. A. Davila Saad: None. M. Tagliaferro: None. J. Billings: None. S. Blecker: Advisory Panel; Self; Medtronic. C. Berry: None. Funding: The Leona M. and Harry B. Helmsley Charitable Trust [ABSTRACT FROM AUTHOR]