Objective. To explore anthropometric changes in normal-weight, overweight and obese subjects who did not dropout or fail a weight loss program over the 16 treatment weeks to improve patient motivation and treatment adherence.Methods. A clinical intervention study was conducted among 271 (including 100 dropouts and/or failures) obese and overweight patients who consulted a nutrition clinic in Barranquilla (Colombia) for the purpose of nutritional assessment. They were subject to a personalized weekly follow-up consultation over the course of 16 weeks in which initial and the final Body Mass Index (BMI, kg/m2), photographs, food consumption patterns, percentage weight loss, waist and hip circumference were registered and grouped according to BMI, measuring treatment response. Data’s nonparametric statistical comparison was made.Results. In 62 patients from the BMI < 25 group, there is weight loss of 2.6% (3.1 SD), 5.5% (3.3 SD) in waist circumference and 3.0% (2.5 SD) in hip circumference. In 67 patients from the 25 ≥ BMI < 30 group, there is weight loss of 3.8% (4.1 SD), 5.7% (4.5 SD) in waist circumference loss and 3.7% (3.0 SD) in hip circumference loss. In 42 patients from the BMI > 30 group, there is weight loss of 4.8% (3.7 SD), 7.0% (3.6 SD) in waist circumference loss and 3.9% (2.4 SD) in hip circumference loss. Monitoring is done every 4 weeks by the Friedman test, with significant differences between the three groups (p < 0.001). Patients do not drop out of treatment because they start to see physical results in waist decrease. When comparing final values of initial waist/hip circumference ratios and waist/height ratios, a clear decrease in the three BMI groups was observed (p < 0.001).Conclusion. After three weeks of continuous treatment patients improved in all overweight and obesity parameter indicators; there were not statistically significant differences in hip circumference (HC) and waist loss (WC) (%) among the three BMI groups (normal-weight, overweight, and obesity). In contrast, there were statistically significant differences in weight loss (%) and waist-to-hip ratios. Based on anthropometric outcomes and patient perception of their body image it can be concluded that the waist circumference loss is the parameter that retains obese patients in the weight loss program.

A growing body of evidence indicates that Stevia rebaudiana Bertoni is protective against malignant conversion by inhibition of DNA replication in human cancer cell growth in vitro. Consumption of Stevia has demonstrated to be generally safe in most reports. Further clinical studies are warranted to determine if regular consumption brings sustained benefits for human health.

Objective: To evaluate the effectiveness of telenutrition versus traditional nutritional consultation for obese patients. Conclusion: Telenutrition has a failure or dropout risk factor about half values of traditional consultation with slightly statistically significant differences. This study concludes that telenutrition can support or sometimes replace the traditional consultation when developing weight loss programs in obese women. Methods

Objective. The objective of this study is to evaluate the effectiveness of telenutrition versus traditional nutritional consultations for female obese patients in need of nutritional treatment.Methods. A comparative clinical study was conducted among 233 obese or overweight women (including 20 who dropped out and 60 who failed) who consulted a nutrition clinic in Barranquilla (Colombia) for nutritional assessment and chose either telenutrition or a traditional consultation that included a weekly follow-up consultation over 16 weeks, food consumption patterns, Body Mass Index (BMI, kg/m2) registeration and waist and hip circumference registeration. Treatment responses and differences between telenutrition and the traditional consultations were made according to BMI, waist, hip and initial-waist/height ratio (iWaist), calculating for the relative risk.Results. In 68 (29.2%) women who chose traditional attention, 9 (37.5%) dropped out, 24 (40%) failed and 35 (23.5%) were successful, showing 1.4% (1.0 SD) BMI loss, 5.8% (3.4 SD) in waist circumference, 4.5% (2.8 SD) in hip circumference and 0.04% (0.02 SD) in iWaist/height ratio. In 165 (70.8%) women who chose telenutrition, 15 (62.5%) dropped out, 36 (60%) failed and 114 (76.5%) were successful, showing 1.1% (1.0 SD) BMI loss, 5.0% (3.2 SD) in waist circumference, 3.5% (3.1 SD) in hip circumference and 0.03% (0.02 SD) in iWaist/height ratio. A significance level of p < 0.05 is considered.Conclusion. Telenutrition has a failure or dropout risk factor of about half of the value of traditional consultation, and showed slight, statistically significant differences. This study concludes that telenutrition can support or sometimes replace traditional consultations when developing weight loss programs for obese women.

new research is needed that clearly values causality in the Colombian population.

La Telemedicina es la práctica médica que brinda salud a pacientes distantes geográficamente pero conectados por sistemas de Tecnología de la Información y Comunicación (TIC). Además del cambio en la forma de brindar la atención médica, la Telemedicina se está convirtiendo en una industria que puede generar múltiples billones de dólares, por lo que se está buscando crear programas que brinden servicios clínicos exitosos siendo rentables (1).Por lo tanto, es importante crear modelos de atención médica que conecten a los pacientes con los médicos y en general con los servicios de salud; apoyado en las TIC actuales; de manera fácil, realizando en lo posible, actividades de promoción, prevención, posible diagnóstico y tratamiento de enfermedades, al ciudadano común, desde su hogar o desde cualquier lugar; llevando la atención médica más allá de los centros de salud o de los hospitales, protegiendo la información, teniendo siempre disponible a un mé-dico; y así, conseguir descongestionar siempre que sea posible las consultas físicas. CLASIFICACIÓN DE LA TELEMEDICINAGracias a las TIC, los médicos y otros profesionales sanitarios pueden consultarse en tiempo real o diferido, recurriendo a técni-cas de almacenamiento y retransmisión de datos como el correo electrónico para su lectura y/o descarga posterior (2). La Telemedicina la podemos clasificar de la siguiente forma:Por tipo de servicio: Teleconsulta, Telediagnóstico, Telecuidado, Teleurgencias, , Teleinterconsulta, etc.Por especialidad: Teleoncología, Teledermatología, Telenutrición, Teleradiología, etc. CÓMO IMPLANTAR UN SERVICIO DE TELEMEDICINAEstamos en la era de la globalización; se están formando bloques de colaboración en el ámbito comercial y económico que benefician y fortalecen países en sus relaciones internacionales (3). El sector salud no se puede quedar atrás; aprovechando las nuevas TIC la sanidad ha encontrado su espacio en este nuevo escenario comunicacional.Los métodos diagnósticos modernos y su relación con la tecnología en comunicaciones permiten cada vez más celeridad en el diagnóstico y tratamiento más eficaz de las patologías. La situación de la salud en el mundo ha mejorado de manera continua durante la última década, debido a la mayor existencia de programas de salud pública y de servicios de salud, suma de cambios ambientales, socioculturales y tecnológicos e iniciativas de integración subregionales y regionales que están echando abajo las barreras físicas que separan los países mediante su integración virtual (2).El envejecimiento de la población en los países desarrollados es un fenómeno imparable que representa una gran preocupación para los políticos debido al enorme gasto socio-sanitario (4). A medida que envejece (5) la población, aumentan las enfermedades crónicas y el consumo de recursos (6).Ante esto, es necesario realizar una serie de cambios para proporcionar una atención de calidad a un costo adecuado apoyados en la Telemedicina, facilitando el cuidado de los pacientes y otorgando a los profesionales sanitarios una herramienta á...

Abstract

Due to the increasing prevalence of obesity and its negative consequences worldwide on public health, body composition analysis is a central pillar to assess the nutritional status. Scientists could use datasets to develop a new body fat measurement formula. Using bioelectrical impedance analysis, we analyzed the total body composition of 345 patients (234 men and 111 women) aged between 18 and 60 years residing in the metropolitan area of Barranquilla, Colombia. They have the potential for predictive formula analysis enhancing the cooperation among scientists. Due to the obesity pandemic, new datasets from other populations are needed to develop a body fat basic mathematical equation formula that could be used worldwide to determine the prevalence of overweight and obesity in a specific population group predisposed to develop metabolic syndrome or death, secondary to high cardiovascular risk.